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stevenwilliam12 · 6 months ago

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The Role of Voice Technology in Improving Telemedicine Experiences

Introduction

Speech and voice recognition technology has been a game-changer in numerous industries, and healthcare is no exception. With the rapid integration of AI and other technological advancements, speech and voice recognition in healthcare are transforming the way patient care is delivered, recorded, and analyzed. These technologies enhance communication, reduce administrative burdens, and improve overall efficiency within healthcare settings. As healthcare trends like telemedicine continue to grow, speech and voice recognition technology is playing a critical role in shaping the future of healthcare.

Key Benefits of Speech and Voice Recognition Technology in Healthcare

1. Enhanced Efficiency and Time Savings

One of the most immediate and noticeable impacts of speech and voice recognition technology in healthcare is the reduction of time spent on documentation and administrative tasks. Traditionally, healthcare professionals spend a significant amount of time documenting patient information in Electronic Health Records (EHRs). By integrating voice recognition technology, clinicians can dictate their notes, and the system converts spoken words into text.

Benefit: This allows doctors, nurses, and medical practitioners to spend more time focusing on patient care rather than being bogged down by time-consuming paperwork.

Impact: Increased efficiency leads to more patients being seen per day, better utilization of staff time, and fewer chances for burnout.

2. Improved Accuracy and Reduced Human Error

Manual data entry into EHR systems is prone to errors, which can have significant consequences in patient care. Speech and voice recognition technology dramatically reduces the likelihood of typographical and input errors, ensuring that patient information is accurately documented.

Impact: This leads to better quality of care, fewer misdiagnoses, and improved patient safety.

3. Streamlined Workflow for Healthcare Professionals

With voice commands, healthcare professionals can quickly retrieve patient information, update records, and even issue prescriptions or medical orders without needing to manually navigate through systems. Speech and voice recognition in healthcare enables clinicians to seamlessly interact with their digital systems, allowing for hands-free operation in many cases.

Impact: This significantly enhances workflow, especially in fast-paced environments like emergency rooms, operating rooms, and intensive care units.

Impact on Telemedicine and Remote Care

1. Integration with Telemedicine

As healthcare trends like telemedicine become more prevalent, speech and voice recognition technology is playing a crucial role in making remote consultations more efficient. Doctors can utilize speech-to-text technology during virtual consultations to document patient interactions in real-time, ensuring that all relevant details are captured and recorded accurately.

Benefit: This enhances the quality of remote consultations, improves patient care, and reduces the risk of errors in telehealth settings.

Impact: It enables a smoother and more professional experience for both healthcare providers and patients, particularly when multiple consultations are being handled remotely.

2. Improved Accessibility

For patients with physical disabilities or those unable to use traditional input methods (e.g., keyboard or mouse), speech recognition provides a vital communication tool. This includes patients with visual impairments or those suffering from conditions like arthritis, where using hands for typing may be difficult.

Impact: Speech and voice recognition technology makes healthcare more accessible, enabling these individuals to participate more actively in their own care, whether during remote consultations or in-person visits.

Integration of Artificial Intelligence (AI) with Speech and Voice Recognition

1. AI-Powered Insights for Decision Making

When AI integration is combined with speech and voice recognition technology, it can enhance decision-making by analyzing the spoken input from healthcare professionals. AI algorithms can process medical data, suggest potential diagnoses, and even flag potential drug interactions based on voice-driven documentation.

Benefit: AI-powered insights can assist healthcare providers in making more informed, data-driven decisions quickly.

Impact: This reduces the likelihood of human error and accelerates decision-making, particularly in complex medical cases.

2. Predictive Analytics and Clinical Decision Support

AI-enhanced speech and voice recognition technology not only transcribes voice but can also analyze the context of what is being said to provide real-time feedback or alerts. For example, AI systems can identify patterns in a physician’s verbal notes or inquiries, helping flag critical conditions like sepsis or early signs of disease progression.

Impact: This predictive capability improves early diagnosis and ensures timely interventions, which can ultimately save lives.

Privacy and Security Considerations

1. Ensuring Compliance with Healthcare Regulations

With the adoption of speech and voice recognition technology, maintaining the privacy and confidentiality of patient information becomes even more critical. Healthcare systems must ensure that these technologies comply with HIPAA (Health Insurance Portability and Accountability Act) and other privacy regulations.

Impact: Strong encryption, secure data storage, and compliance with healthcare regulations will help protect patient privacy while making the most of these technologies.

2. Reducing Errors through Speech Accuracy

Voice recognition tools have become more sophisticated in their ability to differentiate between medical terminology, accents, and languages. As these technologies continue to improve, they will reduce errors in transcription, making it easier for providers to rely on voice recognition for critical documentation without compromising accuracy.

Impact: This will be especially important in multilingual environments where clear communication is key to patient safety.

Challenges in Implementing Speech and Voice Recognition in Healthcare

While the advantages of speech and voice recognition in healthcare are undeniable, there are still some challenges to overcome:

Learning Curve and Adaptability: Healthcare providers need time to adapt to these technologies, and there may be a learning curve associated with effectively utilizing speech recognition systems.

Accuracy in Noisy Environments: Hospitals and clinics are often noisy, which can impact the accuracy of voice recognition systems. This could be addressed through noise-cancelling technologies and further refinement of speech recognition algorithms.

Cost of Implementation: Although the long-term benefits are clear, the upfront costs of implementing speech and voice recognition systems, especially in large healthcare systems, can be high.

Integration with Legacy Systems: Many healthcare facilities use outdated electronic health record systems, and integrating advanced speech and voice recognition tools with these systems can be a complex and resource-intensive process.

Conclusion

Speech and voice recognition technology is transforming healthcare, offering immense potential to improve efficiency, accuracy, and accessibility for both providers and patients. As healthcare trends like telemedicine continue to expand and AI integration becomes more advanced, the role of voice-driven systems will grow even further. The ability to streamline documentation, enhance decision-making, and improve patient care are just some of the many benefits that these technologies bring. However, for full integration and maximum benefit, healthcare systems must also address the challenges associated with implementation, security, and adaptability. With ongoing advancements, speech and voice recognition in healthcare will continue to shape the future of patient care delivery.

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dromologue · 1 year ago

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Big foundational models like GPT-4, Gemini, Claude, Llama (aka large language models or "LLMs") are awesome, but they are not experts in your business. They are also available to all of your competitors so, creating competitive advantage requires you to train your subject matter experts to get the most out of the AI, and to augment your LLMs to be as relevant to your business as possible. Let's take a high-level look at how external signals can transform LLMs, making them more relevant, responsive, and ultimately, more useful. The post Making Your LLM Yours: Enhancing LLMs with External Signals originally appeared here on Shelly Palmer

#AdTech/MarTech #AI (Artificial Intelligence) and Machine Learning #Blog #Data Science #Data-driven Decision Making #Digital Transformation #Natural Language Understanding & Automatic Speech Recognition #Responsible Innovation #Tech Biz #Techno-politics #Techno-Politics and Tech Culture #Technology #Media & Marketing #The Future of Work

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sovlstr · 7 months ago

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Mmmmm thinking about mafiafell…. Writing chapter 7….. thinking about names….Don fell… mob fell and mafiafell r pretty basic so that’s why….

Hm, I love getting inspired and analyzing characters. DF! Sans is just Red, DF! Papyrus is just Papyrus, DF! Gaster is only Wings to his grandchildren…. Oh yes, we’re using that theory here, I enjoy the dynamic seeing as to how the timeline played out. Really young Papyrus is a bit manipulated by Gaster, when Sans pushed his brother away Wings took it as an advantage…. when Papyrus was cripped and seemingly perma-disabled only then did Sans began to care. So Gaster mentored Sans in welding to makeshift him a proper jaw and took Paps another year before he could speak properly...

His speech pattern still remains disjointed so many times he’s removed from the front lines and Sans reserves all the temper of the 3.

And to think Maria is what catches the attention of the most angry skeleton! She and him both die, hm. Say 1950. I do so enjoy torturing them mwah ahaha.

1890-1950 MAFIAFELL TIMELINE

1890: First minster emergence from barrier, remain complacent in scattered regions across Canada

1896: Monster General takes first human soul on surface, first evidence of monsterkinds presence found in Canada. Stories and “myths” of creatures circulate. Thanks a lot Jeff.

1898: Increased tensions lead to monster communities forming isolated settlements near major trade centers (like [REDACTED]). Government begins recognizing monster populations.

1901: Monsters establish borders as recognition grows. American industrialists exploit monster labor for dangerous factory work, deepening resentment.

1908: Monsters migrate closer to cities and soon forms disrupt. Humans are viewed as economic competition.

1912: Monster raids on human lands increase hostility. In retaliation, the United States military experiments with living monster magic to counteract monster defenses.

1914: Tensions reach a boiling point, IB by real life European imperialism U.S. wages war against the monster kingdom under ideal of protecting American interests.

1916: The Siege of Underground occurs. Monster military collapses, King Asgore killed, and monster communities forcibly relocated to reserves for human study.

1917: Monsters granted “limited citizenship,” through heavily restricted rights. Former monster territories are absorbed into U.S. industrial zones and monsters begin to assimilate to human culture.

1920: President Kempt Warren promises normalcy but fails to resolve monster inequality. Magical weaponry development surges as corporations recognize its profit potential and smuggling of monsterkind begins in urban areas.

1922: Prohibition begins. Black markets thrive, selling magics, consumer goods, fleshtrade, and new monster alcohol. Organized crime explodes, involving human and monster gangs.

1924: Anti-monster sentiment fuels the rise of extremist political groups, demanding segregation and tighter restrictions. Monsters form their own unions and underground communities for protection.

1925: Early television prototypes powered by magical energy appear, revolutionizing entertainment and news. This blending of magic and technology creates a unique cultural identity.

1926: President William Cull focuses on economic growth, ignoring societal unrest. The divide between humans and monsters widens as monsters face violence, exclusion, and job discrimination.

1929: Stock Market Crash leads to the Great Depression. Monsters are scapegoated as job thieves and blamed for economic collapse.

1930: Magical weaponry and machinery technologies reach new heights, giving rise to armored cars, magic-powered aircraft, and industrial automation. Wealthy elites control most of this innovation.

1931: Prohibition ends. Human-run mafia families dominate trade in cities in exploiting magic services. Monsters partake with protection and roles of defense for human mafias.

1933: Fiere D. Roster becomes president, introducing “New Deal” to restore the economy. Monsters are largely excluded from government relief programs save for MLA(Monster Liberation Act- allows designated magic users government funding in independent merchant market.

1934(CURRENT): Monsters remain second-class citizens, confined to slums and ghettos. Cities like [REDACTED] form melting pots for poverty, crime, and societal divide. Progress in technology like magic radio, early television, and mechanized transport contrasts moral and social regression. Extremist human groups clash with monster rights activists.

1935: Monsters gain limited inclusion in labor unions, increasing political tension. Roster struggles to manage both economic recovery and societal divisions.

1936: Advances in magical medicine revolutionize healthcare but remain inaccessible to most monsters.

1938: Political radicals push for harsher policies against monsters, fueling riots in major cities. The military continues testing magic-infused weaponry, preparing for potential global conflict.

1939: With tensions escalating an arms race begins between the U.S. and other nations seeking to harness magical technologies. Canada and European powers grow wary of America.

1940: Monster-rights movements gain traction, demanding full citizenship and equal treatment. Whispers of a new global war loom as technological advancements make conflict inevitable.

1945: Supreme Court case “Arlow Trials” highlight case study of monster laborer accused of murdering human factor overseer. Explores dynamic of labor exploitation and systemic discrimination and opens perspectives for monster rights onpar with African-Americans.

1947: In the preparation for war, the HME(Human Monster Equals) act is formed giving monster same rights as humans. In the same situation as African+Americans John Crow laws are passed.

1950: WW2 erupts with America already a world power fueled by magic weaponry and advanced machinery. Monsters are drafted into the military further complicating societal role.

1950-1970: Post-war America emerges as a global superpower with magic-infused technology dominating industries. As result Canada is formed into America and no longer exists. Cultural divide shows signs of healing.

1970/Beyond: Magic becomes commercialized integrated into everyday life like television, transportation, and weapons. Monsters gradually gain equality but carry generations of discrimination and resentment.

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ellesi6 · 5 months ago

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Blog Post #5

How is the marketing of diversity used to discriminate and police people of color in the digital world?

In the article “Race After Technology by R. Benjamin,” the author covers how digital companies glorify diversity as individualistic when it could become a way for law enforcement to monitor people of color. It also makes it easier for white supremacy to reach their targeted audience to hate. Company N-tech is a facial recognition technology used to determine a person’s ethnicity. It is promoted to be something fun for people to assess demographic data. However, what is not talked about is how law enforcement can make use of this data to criminalize people of color. It is easier for pull-out people to discriminate when there is existing data that determines their race. Specifically in a world where race is being discriminated against. The author mentions how “... coded inequity makes it easier and faster to produce racist outcomes” (Benjamin, 2019). Social media platforms like Twitter are promoted for people of different racial backgrounds, and anyone can utilize them. This gives white supremacists the freedom to hate people of color through the digital world. They can view profile pictures and posts to find their targeted audience. Although the content that they are posting is racist and discriminating, the company is benefitting from the usage of the app, which is why they allow it.

How is racial coding used in the digital world?

Programs promote diversity and inclusion, but what is not seen is the New Jim code that is built into the coding of specific programs. The promotion of diversity is used to cover up what is happening behind the scenes. Although technology can't be racist on its own, the people who are creating the systems are building their own beliefs into the system. When a black person is being arrested for committing a crime, they do not do so because facial recognition technology connects their face to the crime; it may be due to racial coding. The person or company who created that system may have had some discriminating beliefs and thus built specific codes that allowed that to happen. The reason that people may not make a note of this is that “... coded inequity makes discrimination easier, faster, and even harder to challenge because there is not just a racist boss, banker, or shopkeeper to report” (Benjamin, 2019). Programs and companies can escape racial coding and cover up with their marketing.

How has racial micro-aggression become more accepted by society?

In the media, people attempt to make light of racism through comedy bits. In “The Social Media Handbook,” the authors include examples of video bits people were creating, such as “Sh*t White Girls Say to Black Girls,” which went viral on the internet. The content itself is filled with racial stereotypes about black girls and other racial groups. It was dismissed as funny content when it was derogatory against certain groups. The public accepted this because “... they provide relief in socially tense environments” (Noble & Senft, 2014). It is masking racially micro-aggressive content by excusing it as entertainment. People believe it is making light of racism, which allows society to think that it is okay to keep up with these notions. They even give the content creator a platform long after the viral video, which worsens the problem. This is portrayed in the media in other forms as well when someone likes a racist comment. They use the excuse that it was just a like but dismiss why they liked it in the first place.

How does the merit system benefit the society they are living in? Does it benefit the people?

In the Black Mirror episode, the merit system used to rate people was based on how well they were conscribed to society’s expectations. That meant how well they presented themselves through their personality, dress, speech, etc. If a person did not make a great impression on another person or spoke in profanity, then they would be demerited. People abided by the merit system because they would gain privileges such as better housing, jobs, entrances to facilities, or accessibility to services. If a person did not fit into society’s rules, they would have to fake a persona. This did not benefit the people because they were prohibited from being themselves. It was put in place to regulate their behavior, but it was being masked by putting in place benefits. It would motivate people to follow these rules to the point where they must dedicate their lives. Overall, it was undignifying and took away their independence to be themselves. It did not benefit the people but rather governed their way of life.

#tcl25

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augustablog · 6 months ago

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AI, Machine Learning, Artificial Neural Networks.

This week we learnt about the above topic and my take home from it is that Artificial Intelligence (AI) enables machines to mimic human intelligence, driving innovations like speech recognition and recommendation systems. Machine Learning (ML), a subset of AI, allows computers to learn from data and improve over time.

Supervised vs. Unsupervised Learning are types of AI

Supervised Learning: Uses labeled data to train models for tasks like fraud detection and image recognition.

Unsupervised Learning: Finds patterns in unlabeled data, used for clustering and market analysis.

Artificial Neural Networks (ANNs)

ANNs mimic the human brain, processing data through interconnected layers

Input Layer: Receives raw data.

Hidden Layers: Extract features and process information.

Output Layer: Produces predictions.

Deep Learning, a subset of ML, uses deep ANNs for tasks like NLP and self-driving technology. As AI evolves, understanding these core concepts is key to leveraging its potential.

It was really quite enlightening.

#artificial intelligence #machine learning #deep learning

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just-another-josh · 2 years ago

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Kara

Today is a good day.

No, today is a great day.

Lena continued to remind herself of that over the course of the last two hours.

It was an incredibly important day for her and her wife. Not just that, it was an important day for their family’s legacy. Today was one of those milestone days, the type that signified potential fully realized, the recognition of years of hard work and achievement. A cause for celebration with champagne, victory speeches, and overindulgent parties.

Lena knew this, she believed this.

And yet, all she wanted to do right now was punch Cat Grant in her stupid, Botoxed face.

Four months ago, Cat pulled Kara aside after a CatCo staff meeting and informed her EIC that she intended to run for president in the next election. “If a Cheeto-skinned, glorified game show host can become President of the United States, I should be a shoo-in,” she had reasoned with her. In order to avoid any blind trust complications and because presidential campaigns are very expensive, Cat decided to put CatCo Worldwide Media up for sale.

Lena was greeted by an ugly-crying Kryptonian when she arrived home that night. Cat’s departure was a double blow to her wife: Not only was Kara losing her mentor, but now she had to contend with a new owner who may or may not share the same journalistic integrity as Cat. Nightmares of another Andrea Rojas or Morgan Edge-like monster lording over the bullpen kept the hero up into the early morning hours after Cat dropped her bombshell.

Lena made a solid effort to reassure her wife that everything would work out for the best but when the company was put on the market the next Monday morning, the announcement quickly led to Lena’s assurances becoming hollow promises.

By the end of the week, the bidding war for the media giant had been whittled down to three frontrunners:

Roland Daggett: owner of Daggett Industries with reported ties to organized crime in Gotham.

Simon Stagg: owner of Stagg Enterprises who was currently involved in no-less than a dozen federal investigations for improper disposal of waste generated from his chemical plants.

The final bidder was no stranger to National City or the Superfriends; Maxwell Lord: owner of Lord Technologies and an all-around asshole, who appeared to have crawled out from whatever rock he’d been hiding under.

Lena knew that none of these parasites gave a damn about the fourth estate, nor would they want Supergirl watching over their shoulders while they engaged in whatever reprehensible activities men of their caliber got up to. Lena had no doubt that they’d use CatCo to steer whatever narratives that would profit them the most; much like Morgan Edge intended to do six years prior.

Bottomline, Kara was going to be out of a job if any of those criminals got their hands on CatCo.

Kara did everything she could to talk Cat out of selling to any of them, but Cat had no other viable candidates to sell to. Kara spent the better part of ten days straight trying to get Cat to see reason but was met with failure at every turn. Lena watched Kara sink further into depression as the days passed and it broke her heart.

On day eleven, Lena had had enough of watching her wife suffer. She had Jess arrange an emergency meeting with her finance and mergers/acquisitions department heads. There was only one item of business on the agenda, did L-Corp have enough in its coffers to purchase CatCo. She knew acquiring the media giant was going to cost a lot more than it did when she stole it out from under Morgan Edge. Luckily, the answer was a resounding yes. Since regaining her position as CEO of L-Corp, Lena had led the company to an unprecedented level of profitability. A proposal was quickly drafted. The minutia of the proposal was almost identical to the last time L-Corp purchased the conglomerate, save for one big difference: Kara, not Lena, would be named CEO of CatCo Worldwide Media; not just the print media, but TV, streaming, and online content.

Proposal in hand, it took Lena the better part of the evening (and early morning) to convince her wife that she was fully capable of doing the job. Hell, she’d been doing it for the last eighteen months as Cat became less involved in the day-to-day operations. Kara’s objections to Lena spending Lena’s money to save Kara’s job were quickly shot down, “You forget darling, it’s not my money, it’s our money. We’re married, what’s mine is yours and what’s yours is mine, you dork.” Finally seeing the light, Lena sent her wife to deliver the proposal directly to Cat; it took her less than twelve hours to accept their offer and approve moving forward with the sale. To say that she was relieved that L-Corp, and by extension Lena and Kara, would be running the company that she built with her own blood, sweat, and tears would be an understatement.

Now, Lena sat in CatCo’s executive conference room. Kara seated to her right, Jess to her left, and half of L-Corp’s legal department bracketing them. On the other side of the table, Cat, and her legal team. Lena had been fortunate enough to avoid attending the negotiation meetings in person; instead choosing to have her attorneys there as her proxies. Occasionally, she’d join the proceedings remotely whenever her two cents was needed. Today, however, was the big day. All the principles needed to be on-hand to sign the final contracts. Lena was initially excited to finalize the deal; if for no other reason than to see the beaming smile her wife had been sporting all day turn brighter than the sun.

Her excitement was quickly tempered when they stepped into Kara’s office and were greeted by Cat with a “Good morning, Mrs. Luthor. Good morning, Kiera.” Lena would have done a spit-take had she been drinking anything at the time. For a moment, she tried to convince herself that she had misheard her. That theory was quickly thrown out the window when Cat called Kara “Kiera” three more times before they reached the conference room. By the time they sat at the conference table to go over the final details before signing, Lena was seething.

After taking several deep breaths and getting her blood pressure under control, Lena tried to mentally talk herself down from doing or saying anything rash. It wasn’t the first time she’d heard Cat address Kara by that name, but it was the first time that it got under her skin. Why? Hormones. She was five months pregnant with twin Kryptonian girls.

For the most part, the pregnancy had been uneventful; after the hell that was first trimester, of course. She’d adjusted to the rollercoaster of emotions, eating 15,000 calories a day to keep her and her baby girls nourished, and the near constant fatigue. Most days, she basked in the experience of being an expectant mother; the flutter of kicks throughout the day, impeccable hair and skin, an insatiable libido, and a doting wife that would fly anywhere in the world to satisfy her food cravings. Yep, without a doubt, the second trimester had been treating Lena well.

Except for today.

Today, her lower back was killing her.

Today, her ankles were obscenely swollen.

Today, the twins were using her bladder as a trampoline.

Today, she felt like a swollen, bloated, beached whale.

Today, Lena had a short fuse, and Cat had no idea how close she was coming to lighting it.

As was standard practice for Lena with all business-related deals, she insisted on reading the final contract cover-to-cover before signing. Although she trusted her legal team, she refused to agree to any contracts that she herself hadn’t personally vetted. Her lawyers had been with her long enough to take their boss’ anal retentiveness in stride, fully understanding that it did not reflect on the quality of their work. While Cat herself remained non-plussed by the delay, her attorneys did a poor job of hiding their impatience. Picking up on the tension in the room, Lena’s senior attorney suggested that both legal teams take an early lunch and after receiving nods of approval from both Lena and Cat, the two teams exited the conference room.

Shortly thereafter, Jess received a text that appeared to be of an urgent nature. After receiving an ‘OK’ from Kara to use the Kryptonian’s office, she swiftly exited.

Kara and Cat continued to make small talk while Lena scoured the sales agreement line-by-line; occasionally securing her black, thick-rimmed glasses when they inched down her nose. Reading the contract had managed to curb her murderous thoughts; allowing her to convince herself that she was overreacting to Cat’s flippant disrespect towards Kara. She reminded herself that this was something Kara found perfectly acceptable, and if the time came when her wife did have a problem, she was more than capable of speaking up for herself. Lena took a deep breath and consigned herself to let bygones be bygones and drop the matter altogether.

Until…

“So, Miss Grant, I assume that once you’re elected, you’ll be giving us an exclusive post-election interview?” Kara playfully asked.

“Now, now, Kiera. As the president-elect I am obligated to give equal time to all media outlets. I mustn’t show any favoritism,” Cat said in a patronizing tone as she waved her finger at Kara as if she were chastising a small child.

Fuse officially lit.

“Darling, I am simple starving. I could really go for a Philly cheesesteak sandwich from that place we found in mid-town,” Lena said through a strained smile; trying her best to hide the anger coursing through her veins.

“D’Elia’s?” As Lena had predicted, Kara was predictably excited by the suggestion.

Lena nodded. “Yes, that’s the one.” She locked yes with her wife for the briefest of moments before averting her gaze back to the contract in front of her.

Kara’s face shifted from excitement to suspicion quickly, now focusing intently on her wife. Lena knew the Kryptonian was probably using her enhanced senses to see or if something was up. Lena cursed herself for thinking she was going to be able to hide her agitation, knowing full well that her wife would hear her increased heart rate and her uneven breathing. Lena blushed under Kara’s scrutiny and offered up her best smile.

Kara clearly wasn’t buying it. “Nahn rraop voi?” she asked with concern in her voice.

“Ju nim voi,” Lena reassured her. She leveled Kara with a look that told her to drop it.

Appearing to take the hint, Kara subtly nodded. “Funyuns too?”

Lena stared at her wife incredulously with a raised eyebrow. “Is that a legitimate question?”

Kara held up her hands in mock surrender. “A thousand pardons.” She turned to Cat. “Can I get you anything, Miss Grant?”

Cat rolled her eyes and scoffed, “Please, Kiera. In all the years you were my assistant, did I ever order anything as vile as a cheesesteak sandwich?”

Lena had to suppress the growl bubbling in her throat. She removed her glasses and massaged her temples in the vain hope that she could stave off the headache that could feel coming.

“A salad with a cheeseburger on top of it is somehow different?” Kara leveled Cat with a snarky smile. A deadpan look settled on Cat’s face. Kara shook her head. “They have salads…yogurt dressing and all.”

Cat seemed to perk up at this news. “Well, in that case, I’d love a salad.”

Kara nodded and turned her attention to Lena. She bent down and placed a chaste kiss on her wife’s forehead before super-speeding out of the room; Lena anchoring the papers in front of her to keep them from scattering.

As the breeze from Kara’s speedy departure subsided, Lena let out a long breath. After quickly organizing her thoughts, she straightened her posture and locked eyes on the woman across the table, sizing her up like a lion would a gazelle. Cat shifted uncomfortably in her chair, clearly unnerved by the intense look in Lena’s eyes, yet defiantly maintaining eye contact.

“Penny for your thoughts, Mrs. Luthor?” Cat said pointedly.

Lena folded her hands on the table, leaned forward, and using her well-honed CEO voice said, “I was just thinking about the remarkable difference in CatCo’s current market value compared to what I paid for it in 2017. Remarkable considering you purchased it from Andrea no less than three years ago for $250 million less than I paid for it.”

“The last three years have been very successful,” Cat said, clearly gloating. “And in all honesty, CatCo’s dismal market value three years ago was a direct result of Miss Rojas’ incompetence. The woman had no business being a journalist, she’s better suited to run some kind of multi-level marketing scam.” Cat scrunched up her nose like she’d smelled something foul.

Lena couldn’t argue, she wholeheartedly agreed with Cat’s assessment of Andrea. The woman had no concept of ethical business practices, let alone journalistic integrity. Lena was well aware that Andrea would run CatCo into the ground when she offered to sell it to her. Lena was more concerned with pissing Kara off at the time. A brief surge of guilt overcame her for the briefest of moments. Although she and Kara had long ago forgiven each other for their respective transgressions during their year-long schism, Lena still promised herself she would do something nice for the hero when they got home this evening as an unspoken “I’m sorry”; most likely something that would make her wife’s toes curl.

“Still, it’s amazing what you’ve been able to accomplish in such a short amount of time.” Lena praised.

“Thank you.” Cat seemed pleased with the compliment…and herself.

Lena leaned in closer to Cat. “So, tell me, owner to owner, what’s the secret? How in the hell did you turn a sinking ship worth $500 million into what Kara and I are shelling out $1.4 billion for?”

The question clearly threw Cat for a loop, her eyes flitted around the room as she considered her response. “Well, you can’t be afraid to ruffle a few feathers. People don’t like the truth sometimes, but that’s the responsibility of a free press, exposing people to the ugly truths that surround them.” Cat’s smile regained its cockiness. “Accuracy is more important than expediency; being right is always better than being first.”

“I have firsthand experience in that regard,” Lena sighed bitterly.

A look of recognition passed over Cat and she nodded benevolently. “That’s right. Your mother’s escape.” Cat shook her head and snorted in disgust. “I should have fired both Snapper and Jimmy for their incompetence.” Cat quirked her head questioningly. “I must say I was quite shocked when I heard you and Jimmy were an item at one point given his…negative opinion of you in those early days.”

“I still am shocked at my utter stupidity.” Lena grimaced. “Luckily it wasn’t a permanent affliction.”

Cat said nothing in response to Lena’s lamentation and the two sat in comfortable silence. Cat’s features softened and her lips slid into a warm smile. “That whole mess perfectly illustrates why competent leadership is so important. A good EIC would have put a stop to their recklessness.”

Thankful for the opportunity to shift the focus away from her relationship with James, Lena quickly replied, “I heard Kara tried to stop them.”

Cat’s smile took on a thoughtful appearance, a glimmer of fondness shown in her eyes. “That’s what makes her so remarkable. Even then, with only a few months’ experience under her belt, she still stood up to those jackasses. Her internal compass told her that something wasn’t right, and she refused to let her inexperience stop her from speaking up.” Cat’s look of pride was matched by Lena’s. “That’s what a competent leader does, sticks to their guns even when those in power tell them they’re wrong.”

“So, you think Kara a logical pick for CEO?”

“Absolutely,” Cat responded passionately. “Credit where credit is due, she’s been singlehandedly running the company for over a year now. She’s been performing tasks well beyond her job title and doing a damn fine job in the process.”

“So, would you say Kara has earned your trust and respect?” Lena set her trap.

“Unequivocally,” Cat said with no small amount of adoration, but her features quickly took on an aura of incredulity. “If I didn’t know any better Mrs. Luthor, I’d say you’re having doubts about putting your wife in charge.”

A feeling of pure satisfaction and anticipation surged through Lena as she now had Cat cornered, though she showed no signs of it, her poker face was impenetrable. (There’s a reason poker had been banned from Game Night, Lena could out-bluff everyone)

She almost felt sorry for the older woman.

Almost.

“No, Miss Grant, I have no doubts regarding Kara’s ability to run CatCo. I’m just confused.”

“About what?” Cat asked with an annoyed tone.

“I’m glad you asked.” The smile that spread across Lena’s face could only be described as sinister. “You compliment Kara’s leadership skills. You say that she is the best choice to run CatCo. You say that you trust her. You even go so far as to say you respect her.” Cat nodded, a look of absolute confusion on her face. “And yet, you continue to disrespect her on a daily basis, both privately and publicly.”

Cat sat silently, eyes the size of saucers and her mouth agape.

“What’s my wife’s name, Miss Grant?” Lena asked in an even tone.

Cat stared at Lena as if she was speaking a foreign language. Lena continued. “’Kara’. Say it with me, ‘Kara’.” Lena enunciated phonetically, making no attempt to hide the disdain in her voice. “K-A-R-A. If you’d like, I’d be happy to write it down in crayon for you.”

Cat was clearly flabbergasted, evidenced by her complete lack of response.

Lena took a deep, centering breath; her anger ebbing away ever so slightly. “Miss Grant, I don’t know you that well. When I met Kara, she spoke almost to the point of reverence about you. It became very clear early in our friendship that you were very important to her, so when you came back into her life, I viewed it positively.” Cat seemed to relax at the shift in Lena’s mood, her features loosened as she followed Lena with rapt attention.

Lena continued, her voice tinged with melancholy, “My opinion soured the first time I met you.” Cat looked at her questioningly, Lena rolled her eyes in response. “Our bridal shower,” Lena deadpanned. Cat gave a slight nod. Lena shook her head and continued, “As I was saying, our bridal shower was the first time I heard you call Kara ‘Kiera’. I just assumed I’d misheard you and let it go. When you called her ‘Kiera’ at our bachelorette party, I figured you’d had too much to drink. When you called her ‘Kiera” at our wedding, the only reason I didn’t cast a spell that would make all your hair fall out is because…well…it was our wedding, and I wasn’t going to ruin the day.”

Cat seemed to sink a little further into her seat as Lena listed off each slight, her face stoic.

“My favorite was the night Kara was awarded her second Pulitzer. You did such a beautiful job during her award presentation. Hell, you even introduced her using her proper name,” Lena paused, a look of mock astonishment on her face. “But no more than two seconds after she stepped off the stage, you called her by that goddamn name again!” Lena, face dusted pink, slammed her fist on the conference table, startling Cat.

Her anger rising, Lena gave Cat no time to recover as she leveled her index finger at the clearly unsettled blonde. “Kara is an extraordinary woman. She has saved this planet both as a writer and Supergirl. For fuck’s sake, she saved the universe from being wiped out of existence! Do you have any idea the enormity of something like that? I assure you, you do not.” Lena slowly rose from her seat and leaned over the table, hovering over a floored Cat. “She is a daughter, a sister, an aunt, my wife, the mother of my unborn children, and goddamn superhero for Christ’s sake! You will show her the respect, grace, and compassion that she is owed. You will commit to me right here and now that you will never, EVER, call her ‘Kiera’ again.” Lena picked up the contract and shook it in Cat’s face. “And if you fail to agree to that, I will burn this and piss on the ashes!” Lena mic-dropped the stapled papers.

Cat, wide-eyed and mouth agape once more, stared blankly at the discarded contract. Lena, satisfied with her tirade (for now), gently lowered herself into her seat. She retrieved her glasses and put them on. After grabbing the contract from its resting place on the conference table, she thumbed through the pages until she found where she left off and resumed her reading.

Lena was content to sit in silence while Cat continued to process what had transpired. She felt a great deal of satisfaction being able to defend her wife, even if it meant the deal might fall through. Lena knew that Kara would be devastated if she had to leave CatCo, and as much as Lena wanted to spare her wife from a broken heart, there was no way in hell she was going to let anyone disrespect her. If worse came to worst, they could buy a smaller publication and build from there; Lena feeling confident that any media organization run by Supergirl would garner a sizeable following, not to mention Kara’s skills as a publisher.

“Have you ever met Perry White?” Cat’s passive voice broke through the silence.

Lena set the contract back on the table, removed her glasses, and studied Cat for a moment. As far as Lena could tell, there was no trace of hostility or arrogance in Cat’s appearance. Lena had no idea why Cat was bringing up the former Daily Planet editor. Her curiosity peaked, she decided to follow Cat down whatever rabbit hole she was leading her. “No, I can’t say I’ve had the pleasure. Though I’m not too broken up about it seeing as how he was more than happy to label me as the anti-Christ after Lex was sent to prison.”

“The man was a pig,” Cat said, a slight tremble in her lips. “When I first started at the Planet as his assistant, he insisted on calling me ‘Caity’.” Cat paused, apparently waiting for some type of response from Lena; a raised eyebrow was all she received. “This went on for weeks. ‘Caity! Coffee, black! Caity, where’re my cigars? ‘Caity, get off your ass and get me some lunch!’. Until one day, I psyched myself up enough to correct him. He told me that he knew what my name was, but he didn’t care. From that point on, he started calling me ‘Caity-Cat’.”

“Did you report him to HR?” The look on Lena’s face was ice-cold, but the hint of warmth in her voice belied a touch of sympathy.

Cat scoffed, “God no. Filing a complaint against the EIC for one of, if not the largest newspaper in the United States would have been career suicide.” Lena could only shake her head in disgust, Cat nervously fiddled with her fingers and huffed, “It was a barbaric time. The entire industry was run by a bunch of testosterone-laden animals.” Cat chuckled quietly. “It’s unfortunate Perry retired before the Me Too movement, I would have loved to have watched him get skinned alive.”

Lena couldn’t help the snort that escaped her. Cat grinned brightly at her reaction. Lena quickly regained her composure and dramatically cleared her throat. “So how did you deal with it?”

“I used it,” Cat said confidently. “Every time I heard the name ‘Caity-Cat’, I used it as motivation to push for a better career. I made a vow that I would make such a name for myself that that son of a bitch would have no choice but to show me the respect I deserved.” Lena could see a flash of steely determination in Cat’s eyes. “Come hell or high water, I would prove that I was worthy of his notice.” Cat swallowed thickly, her eyes becoming glassy.

Lena picked up on the bitterness in Cat’s voice. She could see how much the memories of her time under Perry White pained her. She couldn’t help the swell of sympathy generated by Cat’s remembrances. Whether she liked it or not, Lena felt a kindred spirit in Cat. Both had navigated a world heavily dominated by misogynistic, deplorable men who did everything in their power to ensure their failure. She understood Cat’s motivation to prove that she belonged in that world, no matter its futility.

“Did you ever accomplish your goal?” Lena asked, already knowing the answer.

“In a way.” Cat thinned her lips, a far off look on her face. “A year after I got CatCo off the ground, I ran into Perry at some awards dinner. By happenstance, serendipity, or whatever the hell you want to call it, we went to get a drink at the bar at the same time. I said hello, and he grunted out ‘Catherine’.” Lena shrugged her shoulders and shook her head, unsurprised by the man’s apparent apathy. Cat grinned playfully, clearly feeling like she swallowed the canary. “But by then it didn’t matter. I’d grown far beyond needing his respect or approval. By that time, I had already accomplished more than that sack of shit ever could. I didn’t want, didn’t need a damn thing from him.”

Lena let Cat relieve her triumphant moment, happy in the knowledge that Cat was able to realize her self-worth without needing validation from anyone else.

“So, is that why you scall my wife ‘Kiera’? In some misguided attempt to motivate her?” Lena’s gaze bore into Cat with an intensity greater than Kara’s heat vision. “Because from where I’m sitting, it seems history repeating itself.”

Cat blanched at Lena’s assertion; a barely perceptible shiver ran the length of her spine. Cat let out a long breath before meeting Lena’s probing stare before answering wistfully. “When she started as my assistant, maybe…but I think it got to the point where I wasn’t even aware I was doing it.” Cat looked away from Lena, clearly angry with herself. She fell back into her chair with an unceremonious thud, her shoulders sagging defeatedly. “But it really doesn’t matter, still makes me a hypocrite.”

Lena answered Cat’s unasked question with a raise of her eyebrow and a slight tilt of her head.

Cat folding her hands on the conference table and leaned closer to Lena. “Please understand, I am so proud of Kara. She has exceeded every expectation I could possibly have of her. She has grown into a remarkable woman; and it has nothing to do with the cape and tights. She engenders trust and respect to a level I have never seen before. I’m used to my staff going above and beyond because they’re scared of me, but her, they do it because they adore her.” Cat’s eyes were glassy with unshed tears.

Lena’s features softened at Cat’s admission, a warm sense of satisfaction blooming in her chest. She started feeling the slight sting of welling tears in her eyes after hearing such kind words about her wife. Stupid pregnancy hormones.

There might be hope for Cat yet. At the very least, she’d avoid tasting Lena’s fist.

“Have you considered telling her that?” Lena pointedly asked.

Cat grinned sadly through trembling lips. “I feel like that ship’s sailed,” Cat said with a shaky voice. “How…when…I mean…I wouldn’t even know where to begin.”

Lena didn’t even try to hide her enjoyment watching Cat ramble. “One, it’s never too late, two, use your words, and three, there’s no time like the present.” Lena motioned towards the closed door leading to the bullpen. Cat looked at the door confused. “Kara, I know you’re listening. You can come in now,” Lena said quietly.

Before Cat could react, the door opened and a sheepish looking Kara entered the conference room, two flimsy cardboard boxes filled with wrapped sandwiches and bags cradled in her arms. She set the boxes down and turned to face her wife. “I wasn’t listening.” Lena leveled Kara with an arched eyebrow in response, Kara quickly folded under her wife’s stare. “Well, I didn’t listen to everything.”

“Do tell, zrhemin.” Lena suppressed a grin.

Kara made to adjust glasses that weren’t there, quickly shifting to scratch her cheek. “Fine. I’ve been listening since ‘piss on the ashes’”. But in my defense, I could hear your heartrate was elevated and I got worried.”

Satisfied, Lena shrugged. The color had seemed to drain from Cat’s face after Kara’s confession, her eyebrows hitting her hairline. An awkward silence followed. Cat and Lena appeared to be in a stare down while Kara tried to avoid looking either one in the eye. Lena emerged as the victor of the silent battle; Cat turned to face Kara. Kier…Kara, I owe you an apology…”

“Miss Grant, you don’t have to apologize,” Kara cut her off with a wave of her hand.

“No, Kara, I do.” Cat took a focusing breath and swallowed thickly. “Your wife is right; I haven’t always been very nice to you. I’ve been disrespectful, callous, and sometimes, downright abusive; none of which you’ve deserved.” Kara was beaming as Cat spoke, now the third person in the room being brought to tears. “Sufficed to say, I will work harder to…be more positive with my feedback…and, at the very least, call you by your given name.”

Cat hesitantly approached Kara and after an awkward amount of positioning, embraced her in a tight hug. The floodgates opened and all three women had tears streaking their faces: Cat and Kara for obvious reasons, and Lena…well…goddamn hormones!

Kara and Cat pulled back from their embrace and messily wiped away their tears, a few sniffles coming from both women. “Thank you, Miss Grant. I accept your apology,” Kara said, a slight tremble in her voice.

Cat smiled at her warmly. “Kara, I think at this point you can call me Cat.”

Kara gasped in shock before devolving into clapping and squealing excitedly. “Ok…Cat,” she said with an overdramatic swagger.

Cat and Lena exchanged an eyeroll but didn’t comment on the Kryptonian being a spastic dork.

Cat leveled Kara with her best boss-stare, quickly pulling the hero out of her giddiness. “That is until I win the election. Then you’ll have to address me as Madame President.”

#supercorp #supercorptober2023 #kara danvers #lena luthor #cat grant

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top-leaders-in-india · 7 months ago

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“Jaipur Jewellery Show” Kicks Off in Sitapura: Inaugurated by Colonel Rajyavardhan Rathore

The much-anticipated Jaipur Jewellery Show (JJS) has officially begun in the vibrant Sitapura industrial hub, marking a grand celebration of Rajasthan’s rich legacy in gems and jewellery. The inauguration was led by Colonel Rajyavardhan Rathore, a visionary leader known for his commitment to promoting Rajasthan’s cultural and economic heritage.

This year’s show promises to be a remarkable blend of tradition, innovation, and global opportunities for the jewellery sector.

A Showcase of Brilliance and Craftsmanship

The Jaipur Jewellery Show is more than just an exhibition — it’s a tribute to the unparalleled artistry and skill of Rajasthan’s artisans. Known as the ‘Gem Capital of the World,’ Jaipur continues to lead India’s jewellery industry with its exquisite designs, fine craftsmanship, and global reach.

Highlights of the Inauguration Ceremony

1. Colonel Rajyavardhan Rathore’s Address

In his inaugural speech, Col Rathore emphasized:

The immense contribution of the gems and jewellery sector to Rajasthan’s economy.

The global reputation of Jaipur as a hub for high-quality gemstones and jewellery.

The need for sustainable and innovative practices to maintain the state’s competitive edge.

2. Exhibition Highlights

Stunning Displays: From traditional Kundan and Meenakari designs to contemporary jewellery, the exhibition is a visual feast.

Cutting-Edge Technology: Advanced techniques in gemstone processing and jewellery crafting were showcased.

Global Participation: Buyers, traders, and jewellery enthusiasts from across the globe attended the event.

3. Artisan Recognition

Special sessions were dedicated to acknowledging the efforts of artisans and their role in preserving Rajasthan’s rich heritage.

Why the Jaipur Jewellery Show is Significant

1. Boost to the Economy

The gems and jewellery sector is a cornerstone of Rajasthan’s economy, contributing significantly to employment and exports.

2. Promoting Artistry

Events like JJS ensure the preservation and global promotion of traditional crafts like Kundan, Polki, and Thewa jewellery.

3. Fostering Innovation

The show encourages innovation by integrating modern technology with traditional craftsmanship, ensuring relevance in global markets.

Colonel Rajyavardhan Rathore’s Vision for the Industry

As an ardent supporter of Rajasthan’s development, Col Rathore envisions:

Global Leadership: Establishing Jaipur as the world’s foremost jewellery hub.

Empowering Artisans: Offering training and resources to preserve traditional methods while embracing innovation.

Sustainability: Promoting eco-friendly practices to ensure long-term growth.

The Road Ahead

The Jaipur Jewellery Show sets the stage for:

Strengthening Rajasthan’s position in the global jewellery market.

Providing a platform for artisans to showcase their skills to an international audience.

Encouraging investments and collaborations in the gems and jewellery sector.

With the visionary leadership of Col Rajyavardhan Rathore and the support of industry stakeholders, Jaipur’s gems and jewellery sector is poised for unprecedented growth.

Conclusion

The inauguration of the Jaipur Jewellery Show in Sitapura by Colonel Rajyavardhan Rathore highlights the importance of this industry to Rajasthan’s cultural and economic fabric. By blending heritage with innovation, the show underscores Jaipur’s position as a global leader in gems and jewellery.

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colonelrajyavardhanrathore · 7 months ago

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Maha Kumbh of Gems and Jewellery Begins in Sitapur: Inaugurated by Cabinet Minister Colonel Rajyavardhan Rathore

The vibrant city of Sitapur witnessed the grand commencement of the Maha Kumbh of Gems and Jewellery, a landmark event that celebrates the rich legacy and booming industry of gemstones and jewellery in India. The inauguration was graced by Cabinet Minister Colonel Rajyavardhan Rathore, whose presence added prestige to this much-anticipated gathering of artisans, traders, and industry leaders.

A Celebration of Craftsmanship and Industry Excellence

The Maha Kumbh of Gems and Jewellery is more than just an exhibition — it’s a confluence of tradition, innovation, and global opportunities. The event showcases India’s unparalleled expertise in gemstone cutting, jewellery design, and manufacturing, with Rajasthan standing at the forefront as a key contributor.

Key Highlights of the Inauguration

1. Inaugural Address by Col Rajyavardhan Rathore

In his speech, Col Rathore emphasized the importance of the gems and jewellery sector to Rajasthan and India’s economy, stating:

The sector’s contribution to employment generation and exports.

The need for innovation while preserving traditional craftsmanship.

Opportunities for India to establish a stronger foothold in the global market.

2. Unveiling New Opportunities

The event saw the announcement of several initiatives, including:

Government support for artisans and traders.

Policies to boost exports and attract international buyers.

Investments in technology to enhance manufacturing capabilities.

3. Interactive Sessions and Exhibitions

Artisans displayed exquisite handcrafted jewellery, highlighting India’s rich heritage.

Global buyers and traders engaged in discussions to forge long-term collaborations.

Cutting-edge technology in gemstone processing was showcased to underline the industry’s modern evolution.

Importance of the Gems and Jewellery Industry in Rajasthan

1. Economic Contribution

Rajasthan’s gems and jewellery sector contributes significantly to the state’s GDP and provides employment to thousands of skilled artisans.

2. Cultural Legacy

Rajasthan is renowned for its traditional designs and expert craftsmanship, which continue to attract both domestic and international buyers.

3. Export Powerhouse

Cities like Jaipur are pivotal in exporting high-quality gemstones and intricate jewellery to markets across the globe.

Col Rajyavardhan Rathore’s Vision for the Industry

As a strong advocate for Rajasthan’s development, Col Rathore envisions:

Enhanced global recognition of Rajasthan’s gems and jewellery.

Sustainable practices to ensure the sector’s long-term growth.

Greater support for artisans to preserve traditional methods while adopting modern techniques.

The Way Forward

The Maha Kumbh of Gems and Jewellery serves as a platform to:

Celebrate India’s legacy in the sector.

Foster collaborations between artisans, traders, and international buyers.

Highlight the role of government initiatives in driving growth and innovation.

With leaders like Col Rathore at the helm, the industry is poised to reach new heights, ensuring that India remains a global leader in gems and jewellery.

Conclusion

The inauguration of the Maha Kumbh of Gems and Jewellery in Sitapur marks a significant milestone for the industry. This grand event, led by Colonel Rajyavardhan Rathore, is a testament to India’s commitment to preserving its cultural heritage while embracing innovation and global opportunities.

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syntax-minds · 7 months ago

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Artificial Intelligence: Transforming the Future of Technology

Introduction: Artificial intelligence (AI) has become increasingly prominent in our everyday lives, revolutionizing the way we interact with technology. From virtual assistants like Siri and Alexa to predictive algorithms used in healthcare and finance, AI is shaping the future of innovation and automation.

Understanding Artificial Intelligence

Artificial intelligence (AI) involves creating computer systems capable of performing tasks that usually require human intelligence, including visual perception, speech recognition, decision-making, and language translation. By utilizing algorithms and machine learning, AI can analyze vast amounts of data and identify patterns to make autonomous decisions.

Applications of Artificial Intelligence

Healthcare: AI is being used to streamline medical processes, diagnose diseases, and personalize patient care.

Finance: Banks and financial institutions are leveraging AI for fraud detection, risk management, and investment strategies.

Retail: AI-powered chatbots and recommendation engines are enhancing customer shopping experiences.

Automotive: Self-driving cars are a prime example of AI technology revolutionizing transportation.

How Artificial Intelligence Works

AI systems are designed to mimic human intelligence by processing large datasets, learning from patterns, and adapting to new information. Machine learning algorithms and neural networks enable AI to continuously improve its performance and make more accurate predictions over time.

Advantages of Artificial Intelligence

Efficiency: AI can automate repetitive tasks, saving time and increasing productivity.

Precision: AI algorithms can analyze data with precision, leading to more accurate predictions and insights.

Personalization: AI can tailor recommendations and services to individual preferences, enhancing the customer experience.

Challenges and Limitations

Ethical Concerns: The use of AI raises ethical questions around data privacy, algorithm bias, and job displacement.

Security Risks: As AI becomes more integrated into critical systems, the risk of cyber attacks and data breaches increases.

Regulatory Compliance: Organizations must adhere to strict regulations and guidelines when implementing AI solutions to ensure transparency and accountability.

Conclusion: As artificial intelligence continues to evolve and expand its capabilities, it is essential for businesses and individuals to adapt to this technological shift. By leveraging AI's potential for innovation and efficiency, we can unlock new possibilities and drive progress in various industries. Embracing artificial intelligence is not just about staying competitive; it is about shaping a future where intelligent machines work hand in hand with humans to create a smarter and more connected world.

Syntax Minds is a training institute located in the Hyderabad. The institute provides various technical courses, typically focusing on software development, web design, and digital marketing. Their curriculum often includes subjects like Java, Python, Full Stack Development, Data Science, Machine Learning, Angular JS , React JS and other tech-related fields.

For the most accurate and up-to-date information, I recommend checking their official website or contacting them directly for details on courses, fees, batch timings, and admission procedures.

If you'd like help with more specific queries about their offerings or services, feel free to ask!

#artificial intelligence #inteligência artificial #machine learning #data science #deep learning

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govindhtech · 9 months ago

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Extractive AI vs. Generative AI: Data Extraction & Precision

What Is Extractive AI?

The goal of the natural language processing (NLP) area of extractive AI is to locate and extract important information from pre-existing data sources. Extractive AI is superior at locating and condensing pertinent information from papers, databases, and other structured or unstructured data formats, in contrast to its generative AI cousin, which produces original material.

Consider it a superpowered search engine that can identify the precise lines or sections that address your question in addition to bringing up webpages. Extractive AI is perfect for applications demanding precision, transparency, and control over the extracted information because of its focused approach.

How Does Extractive AI Work?

A variety of NLP approaches are used by extractive AI, including:

Tokenization breaks text into words or phrases.

Named entity recognition (NER) categorizes people, places, and organizations.

Grammatical functions are assigned to phrase words by part-of-speech tagging.

Semantic analysis examines word meaning and relationships.

By using these methods, extractive AI algorithms examine the data, looking for trends and pinpointing the sections that most closely correspond to the user’s request or needed data.

Rise of Extractive AI in the Enterprise

The growing use of extractive AI across a variety of sectors is expected to propel the worldwide market for this technology to $26.8 billion by 2027. Companies are realizing how useful extractive AI is for improving decision-making, expediting procedures, and deriving more profound insights from their data.

The following are some of the main applications of extractive AI that are propelling its use:

Understanding and summarizing papers: Taking important details out of financial data, legal documents, contracts, and customer evaluations.

Enhancing the precision and effectiveness of search queries in business databases and repositories is known as information retrieval and search.

Collecting and evaluating news stories, social media posts, and market data in order to learn about rival tactics is known as competitive intelligence.

Customer care and support: increasing agent productivity, automating frequently asked questions, and evaluating customer feedback.

Finding suspicious behavior and trends in financial transactions and other data sources is the first step in fraud detection and risk management.

Benefits of Extractive AI

Precision Point Extraction

From unstructured data, such as papers, reports, and even social media, extractive AI is excellent at identifying important facts and statistics. Imagine it as a super-powered highlighter that uses laser concentration to find pertinent bits. This guarantees you never overlook an important element and saves you hours of laborious research.

Knowledge Unlocking

Information that has been extracted is knowledge that has yet to be unlocked; it is not only raw data. These fragments may then be analyzed by AI, which will uncover trends, patterns, and insights that were before obscured by the chaos. This gives companies the ability to improve procedures, make data-driven choices, and get a competitive advantage.

Efficiency Unleashed

Time-consuming and monotonous repetitive jobs include data input and document analysis. By automating these procedures, extractive AI frees up human resources for more complex and imaginative thought. Imagine a workplace where your staff members spend more time utilizing information to create and perform well rather of collecting it.

Transparency Triumphs

The logic of extractive AI is transparent and traceable, in contrast to some AI models. You can examine the precise source of the data and the extraction process. This openness fosters confidence and facilitates confirming the veracity of the learned lessons.

Cost Savings Soar

Extractive AI significantly reduces costs by automating processes and using data. A healthy bottom line is a result of simpler procedures, better decision-making, and lower personnel expenses.

Thus, keep in mind the potential of extractive AI the next time you’re overwhelmed with data. obtaining value, efficiency, and insights that may advance your company is more important than just obtaining information.

The Future Of Extractive AI

Extractive AI has made a name for itself in jobs like summarization and search, but it has much more potential. The following are some fascinating areas where extractive AI has the potential to have a big influence:

Answering questions: Creating intelligent assistants that are able to use context awareness and reasoning to provide complicated answers.

Customizing information and suggestions for each user according to their requirements and preferences is known as personalization.

Fact-checking and verification: Automatically detecting and confirming factual assertions in order to combat misinformation and deception.

Constructing and managing linked information bases to aid in thinking and decision-making is known as knowledge graph creation.

Read more on Govindhtech.com

#ExtractiveAI #GenerativeAI #AI #AIModels #GenAImodels #Riskmanagement #Frauddetection #News #Technews #Technology #Technologynews #Technologytrends #govindhtech

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learning-robotics · 1 year ago

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Mastering Neural Networks: A Deep Dive into Combining Technologies

How Can Two Trained Neural Networks Be Combined?

Introduction

In the ever-evolving world of artificial intelligence (AI), neural networks have emerged as a cornerstone technology, driving advancements across various fields. But have you ever wondered how combining two trained neural networks can enhance their performance and capabilities? Let’s dive deep into the fascinating world of neural networks and explore how combining them can open new horizons in AI.

Basics of Neural Networks

What is a Neural Network?

Neural networks, inspired by the human brain, consist of interconnected nodes or "neurons" that work together to process and analyze data. These networks can identify patterns, recognize images, understand speech, and even generate human-like text. Think of them as a complex web of connections where each neuron contributes to the overall decision-making process.

How Neural Networks Work

Neural networks function by receiving inputs, processing them through hidden layers, and producing outputs. They learn from data by adjusting the weights of connections between neurons, thus improving their ability to predict or classify new data. Imagine a neural network as a black box that continuously refines its understanding based on the information it processes.

Types of Neural Networks

From simple feedforward networks to complex convolutional and recurrent networks, neural networks come in various forms, each designed for specific tasks. Feedforward networks are great for straightforward tasks, while convolutional neural networks (CNNs) excel in image recognition, and recurrent neural networks (RNNs) are ideal for sequential data like text or speech.

Why Combine Neural Networks?

Advantages of Combining Neural Networks

Combining neural networks can significantly enhance their performance, accuracy, and generalization capabilities. By leveraging the strengths of different networks, we can create a more robust and versatile model. Think of it as assembling a team where each member brings unique skills to tackle complex problems.

Applications in Real-World Scenarios

In real-world applications, combining neural networks can lead to breakthroughs in fields like healthcare, finance, and autonomous systems. For example, in medical diagnostics, combining networks can improve the accuracy of disease detection, while in finance, it can enhance the prediction of stock market trends.

Methods of Combining Neural Networks

Ensemble Learning

Ensemble learning involves training multiple neural networks and combining their predictions to improve accuracy. This approach reduces the risk of overfitting and enhances the model's generalization capabilities.

Bagging

Bagging, or Bootstrap Aggregating, trains multiple versions of a model on different subsets of the data and combines their predictions. This method is simple yet effective in reducing variance and improving model stability.

Boosting

Boosting focuses on training sequential models, where each model attempts to correct the errors of its predecessor. This iterative process leads to a powerful combined model that performs well even on difficult tasks.

Stacking

Stacking involves training multiple models and using a "meta-learner" to combine their outputs. This technique leverages the strengths of different models, resulting in superior overall performance.

Transfer Learning

Transfer learning is a method where a pre-trained neural network is fine-tuned on a new task. This approach is particularly useful when data is scarce, allowing us to leverage the knowledge acquired from previous tasks.

Concept of Transfer Learning

In transfer learning, a model trained on a large dataset is adapted to a smaller, related task. For instance, a model trained on millions of images can be fine-tuned to recognize specific objects in a new dataset.

How to Implement Transfer Learning

To implement transfer learning, we start with a pretrained model, freeze some layers to retain their knowledge, and fine-tune the remaining layers on the new task. This method saves time and computational resources while achieving impressive results.

Advantages of Transfer Learning

Transfer learning enables quicker training times and improved performance, especially when dealing with limited data. It’s like standing on the shoulders of giants, leveraging the vast knowledge accumulated from previous tasks.

Neural Network Fusion

Neural network fusion involves merging multiple networks into a single, unified model. This method combines the strengths of different architectures to create a more powerful and versatile network.

Definition of Neural Network Fusion

Neural network fusion integrates different networks at various stages, such as combining their outputs or merging their internal layers. This approach can enhance the model's ability to handle diverse tasks and data types.

Types of Neural Network Fusion

There are several types of neural network fusion, including early fusion, where networks are combined at the input level, and late fusion, where their outputs are merged. Each type has its own advantages depending on the task at hand.

Implementing Fusion Techniques

To implement neural network fusion, we can combine the outputs of different networks using techniques like averaging, weighted voting, or more sophisticated methods like learning a fusion model. The choice of technique depends on the specific requirements of the task.

Cascade Network

Cascade networks involve feeding the output of one neural network as input to another. This approach creates a layered structure where each network focuses on different aspects of the task.

What is a Cascade Network?

A cascade network is a hierarchical structure where multiple networks are connected in series. Each network refines the outputs of the previous one, leading to progressively better performance.

Advantages and Applications of Cascade Networks

Cascade networks are particularly useful in complex tasks where different stages of processing are required. For example, in image processing, a cascade network can progressively enhance image quality, leading to more accurate recognition.

Practical Examples

Image Recognition

In image recognition, combining CNNs with ensemble methods can improve accuracy and robustness. For instance, a network trained on general image data can be combined with a network fine-tuned for specific object recognition, leading to superior performance.

Natural Language Processing

In natural language processing (NLP), combining RNNs with transfer learning can enhance the understanding of text. A pre-trained language model can be fine-tuned for specific tasks like sentiment analysis or text generation, resulting in more accurate and nuanced outputs.

Predictive Analytics

In predictive analytics, combining different types of networks can improve the accuracy of predictions. For example, a network trained on historical data can be combined with a network that analyzes real-time data, leading to more accurate forecasts.

Challenges and Solutions

Technical Challenges

Combining neural networks can be technically challenging, requiring careful tuning and integration. Ensuring compatibility between different networks and avoiding overfitting are critical considerations.

Data Challenges

Data-related challenges include ensuring the availability of diverse and high-quality data for training. Managing data complexity and avoiding biases are essential for achieving accurate and reliable results.

Possible Solutions

To overcome these challenges, it’s crucial to adopt a systematic approach to model integration, including careful preprocessing of data and rigorous validation of models. Utilizing advanced tools and frameworks can also facilitate the process.

Tools and Frameworks

Popular Tools for Combining Neural Networks

Tools like TensorFlow, PyTorch, and Keras provide extensive support for combining neural networks. These platforms offer a wide range of functionalities and ease of use, making them ideal for both beginners and experts.

Frameworks to Use

Frameworks like Scikit-learn, Apache MXNet, and Microsoft Cognitive Toolkit offer specialized support for ensemble learning, transfer learning, and neural network fusion. These frameworks provide robust tools for developing and deploying combined neural network models.

Future of Combining Neural Networks

Emerging Trends

Emerging trends in combining neural networks include the use of advanced ensemble techniques, the integration of neural networks with other AI models, and the development of more sophisticated fusion methods.

Potential Developments

Future developments may include the creation of more powerful and efficient neural network architectures, enhanced transfer learning techniques, and the integration of neural networks with other technologies like quantum computing.

Case Studies

Successful Examples in Industry

In healthcare, combining neural networks has led to significant improvements in disease diagnosis and treatment recommendations. For example, combining CNNs with RNNs has enhanced the accuracy of medical image analysis and patient monitoring.

Lessons Learned from Case Studies

Key lessons from successful case studies include the importance of data quality, the need for careful model tuning, and the benefits of leveraging diverse neural network architectures to address complex problems.

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Best Practices

Strategies for Effective Combination

Effective strategies for combining neural networks include using ensemble methods to enhance performance, leveraging transfer learning to save time and resources, and adopting a systematic approach to model integration.

Avoiding Common Pitfalls

Common pitfalls to avoid include overfitting, ignoring data quality, and underestimating the complexity of model integration. By being aware of these challenges, we can develop more robust and effective combined neural network models.

Conclusion

Combining two trained neural networks can significantly enhance their capabilities, leading to more accurate and versatile AI models. Whether through ensemble learning, transfer learning, or neural network fusion, the potential benefits are immense. By adopting the right strategies and tools, we can unlock new possibilities in AI and drive advancements across various fields.

FAQs

What is the easiest method to combine neural networks?

The easiest method is ensemble learning, where multiple models are combined to improve performance and accuracy.

Can different types of neural networks be combined?

Yes, different types of neural networks, such as CNNs and RNNs, can be combined to leverage their unique strengths.

What are the typical challenges in combining neural networks?

Challenges include technical integration, data quality, and avoiding overfitting. Careful planning and validation are essential.

How does combining neural networks enhance performance?

Combining neural networks enhances performance by leveraging diverse models, reducing errors, and improving generalization.

Is combining neural networks beneficial for small datasets?

Yes, combining neural networks can be beneficial for small datasets, especially when using techniques like transfer learning to leverage knowledge from larger datasets.

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arzelace · 1 year ago

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5 Trends in ICT

Exploring the 5 ICT Trends Shaping the Future The Information and Communication Technology (ICT) landscape is evolving at a rapid pace, driven by advancements that are transforming how we live, work, and interact. Here are five key trends in ICT that are making a significant impact:

1. Convergence of Technologies

Technologies are merging into integrated systems, like smart devices that combine communication, media, and internet functions into one seamless tool. This trend enhances user experience and drives innovation across various sectors

Convergence technologies merge different systems, like smartphones combining communication and computing, smart homes using IoT, telemedicine linking healthcare with telecom, AR headsets overlaying digital on reality, and electric vehicles integrating AI and renewable energy.

2. Social Media

Social media platforms are central to modern communication and marketing, offering real-time interaction and advanced engagement tools. New features and analytics are making these platforms more powerful for personal and business use.

Social media examples linked to ICT trends include Facebook with cloud computing, TikTok using AI for personalized content, Instagram focusing on mobile technology, LinkedIn applying big data analytics, and YouTube leading in video streaming.

3. Mobile Technologies

Mobile technology is advancing with faster 5G networks and more sophisticated devices, transforming how we use smartphones and tablets. These improvements enable new applications and services, enhancing connectivity and user experiences.

Mobile technologies tied to ICT trends include 5G for high-speed connectivity, mobile payment apps in fintech, wearables linked to IoT, AR apps like Pokémon GO, and mobile cloud storage services like Google Drive.

4. Assistive Media

Assistive media technologies improve accessibility for people with disabilities, including tools like screen readers and voice recognition software. These innovations ensure that digital environments are navigable for everyone, promoting inclusivity.

Assistive media examples linked to ICT trends include screen readers for accessibility, AI-driven voice assistants, speech-to-text software using NLP, eye-tracking devices for HCI, and closed captioning on video platforms for digital media accessibility.

5. Cloud Computing

Cloud computing allows for scalable and flexible data storage and application hosting on remote servers. This trend supports software-as-a-service (SaaS) models and drives advancements in data analytics, cybersecurity, and collaborative tools.

Cloud computing examples related to ICT trends include AWS for IaaS, Google Drive for cloud storage, Microsoft Azure for PaaS, Salesforce for SaaS, and Dropbox for file synchronization.

Submitted by: Van Dexter G. Tirado

#5 trends in ict #empowerment technology

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adasitecompliance · 2 years ago

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How To Avoid a Website Accessibility Lawsuit

Every day, thousands of people are unable to use and interact with websites because of web accessibility issues. This can lead to a website accessibility lawsuit for you or your company. Over the past few years, certain regulations and guidelines to prevent this have emerged – more specifically, the Americans With Disabilities Act (ADA).

The Act was carried as a civil rights legislation, which passed in the US to protect the rights of people with disabilities, as well as prohibit any discrimination against them. As per the ADA website rules, all people with disabilities have to have equal opportunities to participate in programs, receive services, seek knowledge, and express themselves freely.

Why Is Web Accessibility Important?

Website accessibility refers to the ability of people with a wide range of physical and mental disabilities to access websites, products, systems, services, and facilities featured on a website. For instance, web accessibility means that visually impaired or blind people can purchase tickets, use apps, recharge transportation cards, and use other services offered online.

Web content should be accessible to people, even ones using screen readers and other assistive technologies and automated tools. In times when around 1 in 5 people in the U.S. lives with one or more disabling conditions, statistics show that there are more than 50 million people in the United States and around 1.3 billion around the world who have a certain form of disability.

At the same time, improved digital accessibility benefits everyone. The features that would be designed for 20% of the population can also be used by the other 80% – we all know that anyone can be affected by a disability, which is why equal access matters. Adhere to these new standards for the disabled or you are likely to face a website accessibility lawsuit soon.

Digital Accessibility Features That Can Benefit Everyone

Some of the most important digital accessibility features that can benefit everyone include the following:

Text-to-Speech and Voice Recognition features, help people access online services on a mobile device when driving, or when their hands are full.

Features that enable captions on media content, can help when you are in a noisy environment or in situations when you don’t want to distract others.

An option to easily magnify text by screen magnifiers, which can help disabled and people with vision impairments and difficulties, but also people who suffer from temporary eye injuries.

Besides regular business compliance, an ADA site can improve the overall marketing of the company, especially when using the right tools that are known as popular in this manner. These can assist you in avoiding a website accessibility lawsuit.

About ADA & The Web Accessibility Guidelines

Web accessibility guidelines have existed for two decades. They aim to bring usability and user experience design together, removing barriers for people with disabilities and enabling more users to complete tasks online.

Generally speaking, these guidelines are designed to provide a sufficient level of detail for any person interacting on the web. Some guidelines involve discrete and identifiable criteria (for example, embedding images and link areas with appropriate text) while others require greater amounts of professional discretion (the use of code to improve navigability, predictability, compatibility with certain software, etc.).

Americans With Disabilities Act (ADA)

Establishing a legal framework around digital accessibility ensures that companies give equal access to content to disabled users, and make their services accessible to a large audience. Over the past decade, companies have been rushing to embrace accessibility in order to strengthen their financial and ethical benefits. The legal requirement came into effect in 2010, known as the Americans with Disabilities Act (ADA).

This legal framework outlines all the digital accessibility requirements for every company profile in the United States. Basically, ADA compliance ensures that a set of laws is put in place to prevent any discrimination against people with disabilities. It is applicable in all areas of public life including work, school, education, and transportation services. Established by the Department of Justice, ADA compliance requires websites to enable people to use the Internet as well as online services.

Who Needs To Follow The ADA Requirements?

There are three main titles within ADA, where Title I applies to all businesses with at least 15 full-time employees. Title II of the ADA applies to state and local government compliance. Lastly, ADA Title III refers to most businesses as well as non-profit business entities in the “accommodation” and “public spaces” categories.

Online services and digital information are also considered public accommodations and require ADA compliance. Below is a summarized list of companies, businesses, and organizations that are required to comply and are at risk of ADA lawsuits in case of violations:

State and local government offices

Private business entities employing 15 or more people

Corporations that operate for the benefit of the public

Banking Institutions

Hotels and travel/tour agencies or businesses

Hospitals and healthcare institutes

Schools, universities, and educational institutions.

WCAG

A document known as the Web Content Accessibility Guidelines (WCAG) is what has been the globally accepted standard defined by the World Wide Web Consortium (W3C). The regulations spread through three levels of accessibility for both online and digital services, including:

Level A is the minimum level of accessibility that is required for individuals to make digital content accessible to people with disabilities.

Level AA is the medium level of accessibility that is required for individuals to access and interact with digital content, navigating it without any barriers.

Level AAA is the maximum level of accessibility that is required for individuals, where digital content needs to be accessed but also has an additional interface layer, providing the most convenient experience.

Many types of web content are unable to reach Level AAA. On the other hand, Level AA compliance is the minimum required level in order to make a website accessible.

Why Are WCAG 2.0 And 2.1 Created?

The WCAG 2.0 and WCAG 2.1 guidelines have been created to provide a clear methodology and a unique standard for digital accessibility that meets the needs of all individuals, companies, and governments. The standard applies to a broad range of web technologies, implemented by a set of web development and web design techniques, as well as tested by a range of automated tools.

In times when many businesses or website owners don’t understand how people interact with their websites or mobile apps, having an ADA website that conforms to the regulations can help you prevent accessibility lawsuits.

Moreover, a website designed as per the latest website usability and accessibility reviews is a good way to expand your reach to a broader target audience, improve your marketing efforts, and ensure that every user has equal access to your information, products, or services.

Here, it is important to prepare the digital content including text, audio, video, graphics, and illustrations with alternatives, as well as use formats that are supported by the users’ assistive technologies.

Still, the remaining challenges include the lack of skilled developers that are trained in accessibility, as well as the lack of awareness about ADA compliance and how to build an ADA-compliant website or mobile app and avoid a website accessibility lawsuit.

U.S. Rehabilitation Act

The U.S. Rehabilitation Act is a federal law that prohibits any discrimination on the basis of disability in programs conducted by federal agencies. The rule applies to programs receiving federal financial support and includes the following two sections designed for website accessibility compliance:

Section 504 of the U.S. Rehabilitation Act, protects children and adults with disabilities from discrimination in schools and workplaces. There are specific accessibility criteria for online educational resources.

Section 508 of the U.S. Rehabilitation Act, where government bodies and federal services are required to make electronic and information technology (EIT) accessible to all people, including disabled people.

ADA Lawsuits Are On The Rise: Is Your Website At Risk?

While many still don’t understand what accessibility is and why it is important, advocates are everywhere writing guides and helping website owners understand and implement these digital accessibility rules. However, website accessibility lawsuits are on the rise and make the news nearly every day in the United States. This happens mostly because there are still no enforceable regulations for website accessibility.

The set of regulations is under Section 508 by law, where federal websites in the U.S. are required to check and meet these standards. In order to prevent ADA lawsuits, most simply follow Section 508 or the WCAG 2.0 and 2.1 AAA guidelines.

Accessibility laws are changing and are different in many countries. Besides the U.S., the UK and Canada are also starting to enforce accessibility. However, we will stick to the site accessibility lawsuits and how to prevent them by complying with the law while making your website accessible.

Popular Website Compliance Lawsuits & Settlements

Statistics from Seyfarth show that in 2018 alone, there were a total of 2258 website accessibility lawsuits to the federal court, which was a 177% jump from the previous year. In 2019, the number of cases also increased, most of which were in the retail, food service, entertainment and leisure, travel/hospitality, self-service, and real estate industries.

One of the first federal court lawsuits filed against a big name occurred in 2006, when the National Federation of the Blind (NFB) as the plaintiff sued Target, a U.S. supermarket chain, for its inability to comply with ADA rules.

In the hospitality industry, Domino’s Pizza was one of the companies which received a lawsuit filed in federal court. In 2016, a visually impaired man sued the popular chain because his screen reader was incompatible with their mobile app, so the device could not read aloud its contents.

In 2012, the National Association of the Deaf (NAD) filed a lawsuit against Netflix, for not providing closed captions in its online TV and movie streaming services. The plaintiff has taken legal action against the popular streaming service and the case quickly arrived at federal court.

Education facilities have not been exempt from lawsuits, too. Two federal class-action lawsuits were filed against Harvard and MIT by the National Institute of the Deaf (NAD) for not providing captions in their online content and courses. After four years of legal action on federal court grounds, Harvard was made liable to pay $1.5 million in litigation and attorney fees.

In most of these cases, big names could have saved themselves from litigation costs and bad publicity by simply adding some accessibility features to their website to reduce the risk of such lawsuits.

Recent posts show that even today, the number of lawsuits filed against companies in federal court actions is increasing. Many small to medium-sized businesses are on the radar, too. Among all states, New York, California, and Florida seem to be hotbeds for legal ADA-related lawsuits.

How to Comply With The Web Content Accessibility Guidelines

If you want to prevent an ADA lawsuit, the only route is to plan for, design, as well as build an accessible website. This form of inclusive design should optimize content and help the visually impaired, as well as people with other disabilities, to use and interact with your website.

In fact, every business with a website, mobile app, or internet software application should hire an accessibility specialist to go over the site and ensure full ADA compliance. In order to have an ADA-compliant business website optimized for people with disabilities, you will need to hire these experts who know what needs to be changed and how to ensure compliance.

For instance, if you apply ARIA with HTML5 or your image alt tags are not written properly, you could be facing a lawsuit. However, the source of most ADA lawsuits is the actual inability to access web pages or mobile apps, especially for visually impaired or blind people who use assistive technologies.

There are some builders that are integrated within content management systems and help website owners make the site ADA-compliant. Elementor, a popular WordPress theme-building, and page design plugin are one of them. The plugin helps incorporate parallax, dynamic content, and animations that comply with the accessibility guidelines. There is also the creation of new themes, headings, and footers with full developer control.

What Can You Do To Create An Effective ADA Website And Comply With WCAG: Checklist

The WCAG guidelines outline a set of principles and techniques that make web content “perceivable, operable, understandable, and robust.” In other words, users should be able to access content, use interactive elements, navigate through web pages and apps, and use the content on their device of choice.

There are three vital ways to achieve the goals for website accessibility:

Correct use of HTML, CSS, and JavaScript

Organization of content properly and logically, so that both humans and assistive tools can interpret its layout, including the use of text alternatives for visual content (YouTube is a good example of this – the platform was designed to automatically add captions to videos uploaded on the network).

Extra attributes are added to HTML and other code so that assistive devices can be used effectively, complying with the existing web accessibility standards.

From Braille readers used for hearing and reading text or images to screen readers and magnifiers for blind or visually impaired users and keyboard/joystick navigators for people who can’t use a mouse or other input controls, all of these ways ensure compliance.

How Do You Test Web Accessibility Across Different Devices?

There are two main ways to test how content shows on a website or mobile app.

The first is automated testing, which involves running a test against the latest WCAG principles. With this method, you can identify 20% to 30% of the compliance issues. That is why developers use it as a starting point when familiarizing themselves with the WCAG requirements set by the U.S. Department of Justice.

Second is manual testing, which is obviously more detailed and complex and will deliver the BEST RESULTS. Here, the testing should identify areas of partial compliance with regulations. Common tests use keyboard-only testing schemes to identify where certain issues occur for people who cannot use mouse or touch interfaces. We specialize in manual testing and correcting all errors.

Within manual testing, there is also the practice of testing pages and case scenarios with a screen reader or an emulator that shows how a webpage will respond to a user who wants to access content with text-to-speech technology.

Run a FREE SITE SCAN with us today to test the accessibility of your website.

Facing An ADA Lawsuit? Here Are 4 Steps To Make Your Site Accessible

As we mentioned above, the purpose of the ADA is to ensure that any disabled person has the same opportunity and rights as others in ensuring that digital content is accessible. Violating ADA can land you a lawsuit and some serious fines (up to $20,000 or more), and the best way to avoid potential litigation for a violation is through the four steps below.

Identify Your Barriers – Examining your business site and any of its features that could be a barrier to people with disabilities is usually the best place to start. Know that having more text is never a bad idea, as more people use assistive technologies nowadays. Put yourself in the shoes of an impaired person and try to understand whether your site is designed so you can freely navigate through its pages.

Understand The Requirements – Understanding the ADA requirements is equally important for everyone. New websites are already being designed with web accessibility in mind, and seeing what these rules require can only help you visualize and plan for new content in a better way.

Train Your Staff To Assist – If you work with a web design specialist, make sure that person is familiar with WCAG and able to align your content and marketing tools to support the ADA laws.

Hire A Professional – If you have multiple websites, or find it difficult to optimize your company website to comply with web accessibility laws, you can always seek our professional assistance to prevent an ADA lawsuit.

Hiring expert ADA consultants to audit the level of your website’s accessibility, provide guidance on remediation, and maintain accessible design is recommended if you want to lower the risk of a potential lawsuit.

Final Words

The bottom line of complying with web accessibility is that it offers a number of ways to build a reputation but also targets a broader audience. Users deserve to have equal access to content online, and many of their common tasks have been identified by regulators as essential for modern living. Therefore, it is vital to take advantage of these services and opportunities, and doing that would also prevent accessibility lawsuits.

Every organization, whether large or small, should ensure that they are aware of their accessibility obligations. In doing so, they will mitigate any risks of facing an accessibility lawsuit, but also maximize their revenue potential. In the end, wider accessibility equals a better online experience for everyone.

How good is your web accessibility? If you need help making your company website or mobile app accessible and complying with U.S. Federal regulations, contact us today. We will carry out a full audit and suggest the best ways to help your business site ensure full ADA compliance and prevent lawsuits.

#adasitecompliance #web accessibility #ada lawsuits #web accessibility lawsuit #ada web accessibility solution

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