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srbachchan · 2 months ago

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DAY 6274

Jalsa, Mumbai Aopr 20, 2025 Sun 11:17 pm

🪔 ,

April 21 .. birthday greetings and happiness to Ef Mousumi Biswas .. and Ef Arijit Bhattacharya from Kolkata .. 🙏🏽❤️🚩.. the wishes from the Ef family continue with warmth .. and love 🌺

The AI debate became the topic of discussion on the dining table ad there were many potent points raised - bith positive and a little indifferent ..

The young acknowledged it with reason and able argument .. some of the mid elders disagreed mildly .. and the end was kind of neutral ..

Blessed be they of the next GEN .. their minds are sorted out well in advance .. and why not .. we shall not be around till time in advance , but they and their progeny shall .. as has been the norm through generations ...

The IPL is now the greatest attraction throughout the day .. particularly on the Sunday, for the two on the day .. and there is never a debate on that ..

🤣

.. and I am most appreciative to read the comments from the Ef on the topic of the day - AI .. appreciative because some of the reactions and texts are valid and interesting to know .. the aspect expressed in all has a legitimate argument and that is most healthy ..

I am happy that we could all react to the Blog contents in the manner they have done .. my gratitude .. such a joy to get different views , valid and meaningful ..

And it is not the end of the day or the debate .. some impressions of the Gen X and some from the just passed Gen .. and some that were never ever the Gen are interesting as well :

The Printing Press (15th Century)

Fear: Scribes, monks, and elites thought it would destroy the value of knowledge, lead to mass misinformation, and eliminate jobs. Reality: It democratized knowledge, spurred the Renaissance and Reformation, and created entirely new industries—publishing, journalism, and education.

⸻

Industrial Revolution (18th–19th Century)

Fear: Machines would replace all human labor. The Luddites famously destroyed machinery in protest. Reality: Some manual labor jobs were displaced, but the economy exploded with new roles in manufacturing, logistics, engineering, and management. Overall employment and productivity soared.

⸻

Automobiles (Early 20th Century)

Fear: People feared job losses for carriage makers, stable hands, and horseshoe smiths. Cities worried about traffic, accidents, and social decay. Reality: The car industry became one of the largest employers in the world. It reshaped economies, enabled suburbia, and created new sectors like travel, road infrastructure, and auto repair.

⸻

Personal Computers (1980s)

Fear: Office workers would be replaced by machines; people worried about becoming obsolete. Reality: Computers made work faster and created entire industries: IT, software development, cybersecurity, and tech support. It transformed how we live and work.

⸻

The Internet (1990s)

Fear: It would destroy jobs in retail, publishing, and communication. Some thought it would unravel social order. Reality: E-commerce, digital marketing, remote work, and the creator economy now thrive. It connected the world and opened new opportunities.

⸻

ATMs (1970s–80s)

Fear: Bank tellers would lose their jobs en masse. Reality: ATMs handled routine tasks, but banks actually hired more tellers for customer service roles as they opened more branches thanks to reduced transaction costs.

⸻

Robotics & Automation (Factory work, 20th century–today)

Fear: Mass unemployment in factories. Reality: While some jobs shifted or ended, others evolved—robot maintenance, programming, design. Productivity gains created new jobs elsewhere.

The fear is not for losing jobs. It is the compromise of intellectual property and use without compensation. This case is slightly different.

I think AI will only make humans smarter. If we use it to our advantage.

That’s been happening for the last 10 years anyway

Not something new

You can’t control that in this day and age

YouTube & User-Generated Content (mid-2000s onward)

Initial Fear: When YouTube exploded, many in the entertainment industry panicked. The fear was that copyrighted material—music, TV clips, movies—would be shared freely without compensation. Creators and rights holders worried their content would be pirated, devalued, and that they’d lose control over distribution.

What Actually Happened: YouTube evolved to protect IP and monetize it through systems like Content ID, which allows rights holders to:

Automatically detect when their content is used

Choose to block, track, or monetize that usage

Earn revenue from ads run on videos using their IP (even when others post it)

Instead of wiping out creators or studios, it became a massive revenue stream—especially for musicians, media companies, and creators. Entire business models emerged around fair use, remixes, and reactions—with compensation built in.

Key Shift: The system went from “piracy risk” to “profit partner,” by embracing tech that recognized and enforced IP rights at scale.

This lead to higher profits and more money for owners and content btw

You just have to restructure the compensation laws and rewrite contracts

It’s only going to benefit artists in the long run ‎

Yes

They can IP it

That is the hope

It’s the spread of your content and material without you putting a penny towards it

Cannot blindly sign off everything in contracts anymore. Has to be a lot more specific.

Yes that’s for sure

“Automation hasn’t erased jobs—it’s changed where human effort goes.”

Another good one is “hard work beats talent when talent stops working hard”

Which has absolutely nothing to with AI right now but 🤣

These ladies and Gentlemen of the Ef jury are various conversational opinions on AI .. I am merely pasting them for a view and an opinion ..

And among all the brouhaha about AI .. we simply forgot the Sunday well wishers .. and so ..

my love and the length be of immense .. pardon

Amitabh Bachchan

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mariacallous · 8 months ago

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As digital scamming explodes in Southeast Asia, including so called “pig butchering” investment scams, the United Nations Office on Drugs and Crime (UNODC) issued a comprehensive report this week with a dire warning about the rapid growth of this criminal ecosystem. Many digital scams have traditionally relied on social engineering, or tricking victims into giving away their money willingly, rather than leaning on malware or other highly technical methods. But researchers have increasingly sounded the alarm that scammers are incorporating generative AI content and deepfakes to expand the scale and effectiveness of their operations. And the UN report offers the clearest evidence yet that these high tech tools are turning an already urgent situation into a crisis.

In addition to buying written scripts to use with potential victims or relying on templates for malicious websites, attackers have increasingly been leaning on generative AI platforms to create communication content in multiple languages and deepfake generators that can create photos or even video of nonexistent people to show victims and enhance verisimilitude. Scammers have also been expanding their use of tools that can drain a victim’s cryptocurrency wallets, have been manipulating transaction records to trick targets into sending cryptocurrency to the wrong places, and are compromising smart contracts to steal cryptocurrency. And in some cases, they’ve been purchasing Elon Musk’s Starlink satellite internet systems to help power their efforts.

“Agile criminal networks are integrating these new technologies faster than anticipated, driven by new online marketplaces and service providers which have supercharged the illicit service economy,” John Wojcik, a UNODC regional analyst, tells WIRED. “These developments have not only expanded the scope and efficiency of cyber-enabled fraud and cybercrime, but they have also lowered the barriers to entry for criminal networks that previously lacked the technical skills to exploit more sophisticated and profitable methods.”

For years, China-linked criminals have trafficked people into gigantic compounds in Southeast Asia, where they are often forced to run scams, held against their will, and beaten if they refuse instructions. Around 200,000 people, from at least 60 countries, have been trafficked to compounds largely in Myanmar, Cambodia, and Laos over the last five years. However, as WIRED reporting has shown, these operations are spreading globally—with scamming infrastructure emerging in the Middle East, Eastern Europe, Latin America, and West Africa.

Most prominently, these organized crime operations have run pig butchering scams, where they build intimate relationships with victims before introducing an “investment opportunity” and asking for money. Criminal organizations may have conned people out of around $75 billion through pig butchering scams. Aside from pig butchering, according to the UN report, criminals across Southeast Asia are also running job scams, law enforcement impersonation, asset recovery scams, virtual kidnappings, sextortion, loan scams, business email compromise, and other illicit schemes. Criminal networks in the region earned up to $37 billion last year, UN officials estimate. Perhaps unsurprisingly, all of this revenue is allowing scammers to expand their operations and diversify, incorporating new infrastructure and technology into their systems in the hope of making them more efficient and brutally effective.

For example, scammers are often constrained by their language skills and ability to keep up conversations with potentially hundreds of victims at a time in numerous languages and dialects. However, generative AI developments within the last two years—including the launch of writing tools such as ChatGPT—are making it easier for criminals to break down language barriers and create the content needed for scamming.

The UN’s report says AI can be used for automating phishing attacks that ensnare victims, the creation of fake identities and online profiles, and the crafting of personalized scripts to trick victims while messaging them in different languages. “These developments have not only expanded the scope and efficiency of cyber-enabled fraud and cybercrime, but they have also lowered the barriers to entry for criminal networks that previously lacked the technical skills to exploit sophisticated and profitable methods,” the report says.

Stephanie Baroud, a criminal intelligence analyst in Interpol’s human trafficking unit, says the impact of AI needs to be considered as part of a pig butchering scammer’s tactics going forward. Baroud, who spoke with WIRED in an interview before the publication of the UN report, says the criminal’s recruitment ads that lure people into being trafficked to scamming compounds used to be “very generic” and full of grammatical errors. However, AI is now making them appear more polished and compelling, Baroud says. “It is really making it easier to create a very realistic job offer,” she says. “Unfortunately, this will make it much more difficult to identify which is the real and which is the fake ads.”

Perhaps the biggest AI paradigm shift in such digital attacks comes from deepfakes. Scammers are increasingly using machine-learning systems to allow for real-time face-swapping. This technology, which has also been used by romance scammers in West Africa, allows criminals to change their appearance on calls with their victims, making them realistically appear to be a different person. The technology is allowing “one-click” face swaps and high-resolution video feeds, the UN’s report states. Such services are a game changer for scammers, because they allow attackers to “prove” to victims in photos or real-time video calls that they are who they claim to be.

Using these setups, however, can require stable internet connections, which can be harder to maintain within some regions where pig butchering compounds and other scamming have flourished. There has been a “notable” increase in cops seizing Starlink satellite dishes in recent months in Southeast Asia, the UN says—80 units were seized between April and June this year. In one such operation carried out in June, Thai police confiscated 58 Starlink devices. In another instance, law enforcement seized 10 Starlink devices and 4,998 preregistered SIM cards while criminals were in the process of moving their operations from Myanmar to Laos. Starlink did not immediately respond to WIRED’s request for comment.

“Obviously using real people has been working for them very well, but using the tech could be cheaper after they have the required computers” and connectivity, says Troy Gochenour, a volunteer with the Global Anti-Scam Organization (GASO), a US-based nonprofit that fights human-trafficking and cybercrime operations in Southeast Asia.

Gochenour’s research involves tracking trends on Chinese-language Telegram channels related to carrying out pig butchering scams. And he says that it is increasingly common to see people applying to be AI models for scam content.

In addition to AI services, attackers have increasingly leaned on other technical solutions as well. One tool that has been increasingly common in digital scamming is so-called “crypto drainers,” a type of malware that has particularly been deployed against victims in Southeast Asia. Drainers can be more or less technically sophisticated, but their common goal is to “drain” funds from a target’s cryptocurrency wallets and redirect the currency to wallets controlled by attackers. Rather than stealing the credentials to access the target wallet directly, drainers are typically designed to look like a legitimate service—either by impersonating an actual platform or creating a plausible brand. Once a victim has been tricked into connecting their wallet to the drainer, they are then manipulated into approving one or a few transactions that grant attackers unintended access to all the funds in the wallet.

Drainers can be used in many contexts and with many fronts. They can be a component of pig butchering investment scams, or promoted to potential victims through compromised social media accounts, phishing campaigns, and malvertizing. Researchers from the firm ScamSniffer, for example, published findings in December about sponsored social media and search engine ads linked to malicious websites that contained a cryptocurrency drainer. The campaign, which ran from March to December 2023 reportedly stole about $59 million from more than 63,000 victims around the world.

Far from the low-tech days of doing everything through social engineering by building a rapport with potential victims and crafting tricky emails and text messages, today’s scammers are taking a hybrid approach to make their operations as efficient and lucrative as possible, UN researchers say. And even if they aren’t developing sophisticated malware themselves in most cases, scammers are increasingly in the market to use these malicious tools, prompting malware authors to adapt or create hacking tools for scams like pig butchering.

Researchers say that scammers have been seen using infostealers and even remote access trojans that essentially create a backdoor in a victim’s system that can be utilized in other types of attacks. And scammers are also expanding their use of malicious smart contracts that appear to programmatically establish a certain agreed-upon transaction or set of transactions, but actually does much more. “Infostealer logs and underground data markets have also been critical to ongoing market expansion, with access to unprecedented amounts of sensitive data serving as a major catalyst,” Wojcik, from the UNODC, says.

The changing tactics are significant as global law enforcement scrambles to deter digital scamming. But they are just one piece of the larger picture, which is increasingly urgent and bleak for forced laborers and victims of these crimes.

“It is now increasingly clear that a potentially irreversible displacement and spillover has taken place in which organized crime are able to pick, choose, and move value and jurisdictions as needed, with the resulting situation rapidly outpacing the capacity of governments to contain it,” UN officials wrote in the report. “Failure to address this ecosystem will have consequences for Southeast Asia and other regions.”

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almondenterprise · 2 months ago

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Innovations in Electrical Switchgear: What’s New in 2025?

The electrical switchgear industry is undergoing a dynamic transformation in 2025, fueled by the rapid integration of smart technologies, sustainability goals, and the growing demand for reliable power distribution systems. As a key player in modern infrastructure — whether in industrial plants, commercial facilities, or utilities — switchgear systems are becoming more intelligent, efficient, and future-ready.

At Almond Enterprise, we stay ahead of the curve by adapting to the latest industry innovations. In this blog, we’ll explore the most exciting developments in electrical switchgear in 2025 and what they mean for businesses, contractors, and project engineers.

Rise of Smart Switchgear

Smart switchgear is no longer a futuristic concept — it’s a necessity in 2025. These systems come equipped with:

IoT-based sensors

Real-time data monitoring

Remote diagnostics and control

Predictive maintenance alerts

This technology allows for remote management, helping facility managers reduce downtime, minimize energy losses, and detect issues before they become critical. At Almond Enterprise, we supply and support the integration of smart switchgear systems that align with Industry 4.0 standards.

2. Focus on Eco-Friendly and SF6-Free Alternatives

Traditional switchgear often relies on SF₆ gas for insulation, which is a potent greenhouse gas. In 2025, there’s a significant shift toward sustainable switchgear, including:

Vacuum Interrupter technology

Air-insulated switchgear (AIS)

Eco-efficient gas alternatives like g³ (Green Gas for Grid)

These options help organizations meet green building codes and corporate sustainability goals without compromising on performance.

3. Wireless Monitoring & Cloud Integration

Cloud-based platforms are transforming how switchgear systems are managed. The latest innovation includes:

Wireless communication protocols like LoRaWAN and Zigbee

Cloud dashboards for real-time visualization

Integration with Building Management Systems (BMS)

This connectivity enhances control, ensures quicker fault detection, and enables comprehensive energy analytics for large installations

4. AI and Machine Learning for Predictive Maintenance

Artificial Intelligence is revolutionizing maintenance practices. Switchgear in 2025 uses AI algorithms to:

Predict component failure

Optimize load distribution

Suggest optimal switchgear settings

This reduces unplanned outages, increases safety, and extends equipment life — particularly critical for mission-critical facilities like hospitals and data centers.

5. Enhanced Safety Features and Arc Flash Protection

With increasing focus on workplace safety, modern switchgear includes:

Advanced arc flash mitigation systems

Thermal imaging sensors

Remote racking and switching capabilities

These improvements ensure safer maintenance and operation, protecting personnel from high-voltage hazards.

6. Modular & Scalable Designs

Gone are the days of bulky, rigid designs. In 2025, switchgear units are:

Compact and modular

Easier to install and expand

Customizable based on load requirements

Almond Enterprise supplies modular switchgear tailored to your site’s unique needs, making it ideal for fast-paced infrastructure developments and industrial expansions.

7. Global Standardization and Compliance

As global standards evolve, modern switchgear must meet new IEC and IEEE guidelines. Innovations include:

Improved fault current limiting technologies

Higher voltage and current ratings with compact dimensions

Compliance with ISO 14001 for environmental management

Our team ensures all equipment adheres to the latest international regulations, providing peace of mind for consultants and project managers.

Final Thoughts: The Future is Electric

The switchgear industry in 2025 is smarter, safer, and more sustainable than ever. For companies looking to upgrade or design new power distribution systems, these innovations offer unmatched value.

At Almond Enterprise, we don’t just supply electrical switchgear — we provide expert solutions tailored to tomorrow’s energy challenges. Contact us today to learn how our cutting-edge switchgear offerings can power your future projects.

#qatar #lv panel #switchgear #2025 #electrical equipment #middleeast #trending

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urialnathanonwright · 5 months ago

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Trump's Latest Executive Orders: A Dangerous Assault on Progress and Equality

President Donald Trump's recent executive actions represent a stunning regression in American values, undermining decades of progress in civil rights, diversity, and equity while doubling down on dangerous, divisive policies. These moves threaten the very fabric of our nation's commitment to fairness, justice, and innovation.

Dismantling Diversity, Equity, and Inclusion (DEI) By shuttering all executive branch DEI offices and placing employees on leave, Trump has sent a clear message: equity and inclusion have no place in his administration. This decision not only erodes vital support structures for underrepresented groups but also undermines the productivity and morale of federal workplaces. Diversity enriches our institutions, fosters innovation, and reflects the principles of equality enshrined in our Constitution. Labeling these initiatives as “immoral” is a gross distortion of their purpose and impact.

Reversing Civil Rights Protections Revoking a landmark 1965 civil rights executive order is an unconscionable attack on protections against discrimination. Trump’s order to investigate private sector DEI initiatives weaponizes federal power against businesses striving for equity, effectively punishing efforts to create inclusive workplaces. This reversal not only undermines workplace fairness but emboldens those who seek to marginalize vulnerable populations.

The Justice Department’s Disturbing Reprioritization The rapid reassignment of Justice Department officials to advance Trump’s immigration agenda demonstrates a chilling embrace of xenophobia. Immigration is not an "issue" to be exploited for political gain but a cornerstone of America’s identity. Targeting immigrants in this way stokes fear and division, ignoring the immense contributions they make to our society.

The Silk Road Pardon The pardon of Ross Ulbricht, founder of the notorious online black-market Silk Road, is a slap in the face to justice. By excusing a man whose platform enabled the illegal drug trade and other criminal activities, Trump undermines the rule of law and emboldens those who exploit technology for illicit purposes.

AI Investments: A Silver Lining with Shadows While private sector investment in AI infrastructure is critical for national competitiveness, Trump’s $500 billion initiative raises concerns about oversight, equity, and priorities. Handing the reins of this transformative technology to corporate giants without safeguards risks entrenching inequality and amplifying biases. AI must be developed with transparency, accountability, and a commitment to serving all Americans—not just the interests of billionaires and corporations.

The Bigger Picture: Trump’s Dangerous Legacy These executive actions paint a disturbing portrait of a leader intent on dismantling progress, ignoring the needs of marginalized communities, and prioritizing personal alliances over public good. Trump’s vision is one of exclusion, division, and regression—a stark contrast to the inclusive, forward-thinking leadership America deserves.

Now is the time for all Americans to stand against these attacks on our shared values. We must champion equality, justice, and innovation grounded in fairness. The stakes have never been higher. We cannot afford to let Trump's dangerous agenda define our future.

#politics #government #us politics #culture #history

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showkaani · 4 days ago

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Technology in Africa: Key Areas of Growth

1. Mobile and Internet PenetrationMobile Revolution:

Africa is the world’s fastest-growing mobile phone market. Mobile penetration has surpassed 80%, with smartphones becoming more affordable.Internet Access: Over 500 million people now have internet access, primarily through mobile devices.Mobile Money: Services like M-Pesa in Kenya have revolutionized financial access, enabling mobile banking, payments, and loans for unbanked populations.

2. Startups and Innovation HubsTech Hubs:

Over 600 tech hubs (e.g., Nairobi's iHub, Lagos’ Yaba ecosystem, Cape Town's Silicon Cape) serve as incubators for innovation.Startup Boom: African startups attracted over $3 billion in investment in 2022, especially in fintech, agritech, healthtech, and edtech.Youth-Driven Innovation: With 60% of Africa’s population under 25, there’s a strong focus on youth-led digital solutions.

3. FintechAfrica

is a global leader in mobile-based financial services.Startups like Flutterwave, Chipper Cash, and Paystack are transforming digital payments.Fintech addresses challenges like low banking access and cross-border transactions.

4. AgritechLeveraging drones, satellite data, and mobile apps to improve yields and market access for farmers.Platforms like Twiga Foods (Kenya) and Farmcrowdy (Nigeria) are streamlining food supply chains and offering digital tools to farmers.

5. HealthtechTelemedicine and mobile health services are filling gaps in healthcare access.Apps like mPharma (Ghana) and Zipline (drone delivery of medical supplies in Rwanda) are game-changers.

6. Edtech and E-LearningCOVID-19 accelerated the adoption of online education.Startups like uLesson (Nigeria) and Eneza Education (Kenya) provide accessible digital learning content for students.

7. Government and Policy SupportSeveral governments are investing in digital infrastructure and supportive policies.Rwanda’s Vision 2050 and Kenya’s Konza Technopolis project show long-term digital commitment.

8. ChallengesInfrastructure gaps: Power, internet, and transport limitations in rural areas.Funding disparities: Most investments go to a few countries (e.g., Nigeria, Kenya, South Africa).Digital literacy: Skills development still lags in many regions.🔮 Future OutlookAfrica’s digital economy could contribute over $180 billion to GDP by 2025.AI, blockchain, and green tech are emerging fields with huge potential.Regional cooperation (e.g., AfCFTA) may enhance cross-border digital trade.

#technology #technique #technews #techinnovation #smart tech #Technology Africa #Africa #Asia #tech #electronics #hardware #phones #technoblade

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psychicxenomorphscourge · 18 days ago

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Unlocking the Future: How Intel is Shaping Tomorrow's Technology Landscape

Introduction

In a world that is increasingly defined by technological advancements, few companies have had as profound an impact as Intel. Founded in 1968, Intel Corporation has been at the forefront of semiconductor innovation, shaping not just computing but various facets of modern life. From personal computers to cloud computing and artificial intelligence, Intel’s influence permeates every layer of technology today. The question is—how does Intel continue to unlock the future? In this article, we will explore how Intel is shaping tomorrow's technology landscape through innovation, research, sustainability efforts, and strategic partnerships.

Unlocking the Future: How Intel is Shaping Tomorrow's Technology Landscape

At its core, unlocking the future involves leveraging cutting-edge technologies to solve current challenges while also anticipating future demands. For Intel, this means investing heavily in research and development (R&D) to remain competitive in the rapidly evolving tech arena. With products that range from microprocessors to advanced AI systems, Intel stands as a pillar of innovation.

The Evolution of Semiconductor Technology A Brief History of Semiconductor Development

To truly grasp how Intel shapes technology today, it's important to understand the evolution of semiconductors. Initially Learn more here developed in the 1950s and '60s, semiconductors revolutionized electronics by allowing devices to become smaller and more efficient. Intel’s introduction of the first microprocessor in 1971 marked a significant turning point in computing history.

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Current Trends in Semiconductor Technology

Today, semiconductor technology continues to evolve at an astonishing pace. Innovations such as 3D chip designs and quantum computing are on the horizon. Companies like Intel are not just keeping up—they are leading these trends through relentless R&D.

Intel's Role in Artificial Intelligence Pioneering AI Technologies

Artificial intelligence represents one of the most promising frontiers for technological advancement today. Intel has made significant strides in developing AI technologies that enhance machine learning capabilities across various sectors—from healthcare to finance.

Real-World Applications of AI Solutions

AI solutions offered by Intel can be seen in applications ranging from predictive analytics in healthcare to autonomous vehicles. These advancements not only improve efficiency but also pave the way for new business models.

Cloud Computing: The New Frontier Intel's Cloud Strategy

As businesses migrate to cloud-based solutions, Intel plays a crucial role by providing powerful processors designed specifically for cloud environments. Their Xeon processors enable data centers to run efficiently and scale dramatically.

Benefits for Businesses Adopting Cloud Solutions

Companies adopting cloud solutions with Intel technologies benefit from improved security features and reduced operational costs. This shift allows businesses to focus on innovation rather than infrastructure management.

Sustainability Initiatives at Intel Commitment to Green Technology

#Youtube

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thestudyiasbymanikantsingh · 18 days ago

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Ukraine’s Devastating Strike on Russian Nuclear Assets Using AI-Powered Drones

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The ongoing Russia-Ukraine conflict has dramatically evolved with the integration of Artificial Intelligence (AI) in modern warfare. Recently, Ukraine has showcased a striking example of how AI-enabled technology is reshaping battlefields. Under the codename “Operation Spiderweb,” Ukraine launched a series of precise, coordinated strikes deep inside Russian territory, targeting at least five key Russian airbases stretching from Siberia to Moscow. These airbases are vital military hubs from which Russia operates its missiles and warplanes, including the formidable TU-95 strategic bombers. Notably, these bombers were reportedly destroyed by AI-enabled Ukrainian drones, marking a significant turning point in the war.

This development signals a new dimension of drone warfare that is both low-cost and asymmetric, yet highly effective. Unlike traditional warfare, which heavily relies on large, expensive military hardware and personnel, the use of AI-powered drones allows smaller forces to strike critical infrastructure and assets with precision and stealth. The drones operate with advanced autonomy, enabling them to navigate hostile environments, evade detection, and carry out targeted attacks without risking human pilots or soldiers.

The psychological impact of these strikes is equally profound. The knowledge that a country’s core military assets can be attacked remotely by small, AI-driven machines erodes traditional notions of power and security. It challenges the dominance of heavy armor, fighter jets, and large-scale troop deployments that have defined warfare for decades.

Technology, precision, and psychological tactics have become the new pillars of modern conflicts. Ukraine’s successful deployment of AI-enabled drones underscores how warfare is no longer just about manpower and firepower but about who controls the smarter, faster, and more adaptive technology. This has forced Western powers to rethink strategic support and push for diplomatic pressure, evident in their ongoing efforts to leverage Istanbul as a platform for peace talks between Russia and Ukraine.

The message from these AI-powered drone attacks is clear: strategic power is undergoing a fundamental transformation. Traditional military superiority no longer guarantees battlefield dominance. Instead, innovative, cost-effective, and technologically advanced methods can disrupt even the most powerful adversaries.

This evolving scenario is not isolated to Ukraine and Russia. In response to this new wave of warfare, Pakistan launched its own drone strikes under Operation Sindoor, signaling that AI-powered drones have become a critical factor in regional security dynamics as well.

For countries like India, this shift presents both a challenge and an opportunity. The question is no longer if AI will play a role in future conflicts, but how well a country can integrate AI technology into its defense systems to protect its sovereignty and maintain strategic autonomy.

How can India prepare for these emerging threats without developing its own AI capabilities? The answer lies in accelerating investment in AI research, developing indigenous drone and counter-drone technologies, and building robust cyber-defense mechanisms. Additionally, strengthening international collaborations and intelligence-sharing can help anticipate and mitigate AI-driven threats.

The future of warfare will be shaped by those who harness AI effectively—not just for offense but also for defense. India, and indeed the global community, must adapt swiftly to this new reality, balancing innovation with strategic foresight to safeguard national security in an increasingly digital and unpredictable battlefield.

#russia ukraine war #russia ukraine conflict #war in ukraine #zelensky #vladimir putin #ukraine drone attack #geopolitics #world news #Youtube

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manekapiyumawali · 27 days ago

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Why Sabaragamuwa University is a Great Choice.

Sabaragamuwa University of Sri Lanka (SUSL) is increasingly recognized for its technological advancement and innovation-driven environment, making it one of the leading universities in Sri Lanka in terms of technology. Here are the key reasons why SUSL stands out technologically.

Here’s why SUSL stands out as a technological powerhouse among Sri Lankan universities:

🔧1. Faculty of Technology

SUSL established a dedicated Faculty of Technology to meet the demand for tech-skilled graduates. It offers degree programs such as:

BTech in Information and Communication Technology

BTech in Engineering Technology

These programs combine practical experience in labs, workshops and real-world projects with a strong theoretical foundation.

🖥️2. Advanced IT Infrastructure

SUSL has modern computer labs, smart classrooms, and high-speed internet access across campus.

A robust Learning Management System (LMS) supports online learning and hybrid education models.

Students and lecturers use tools like Moodle, Zoom, and Google Classroom effectively.

🤖 3. Innovation & AI Research Support

SUSL promotes AI, Machine Learning, IoT, and Data Science in student research and final-year projects.

Competitions like Hackathons and Innovative Research Symposia encourage tech-driven solutions.

Students develop apps, smart systems, and automation tools (e.g., Ceylon Power Tracker project).

🌐 4. Industry Collaboration and Internships

SUSL connects students with the tech industry through:

Internships at leading tech firms

Workshops led by industry experts

Collaborative R&D projects with government and private sector entities

These connections help students gain hands-on experience in areas such as software engineering, networking, and data analytics that make them highly employable after graduation.

💡 5. Smart Campus Initiatives

SUSL is evolving into a Smart University, introducing systems that streamline academic life:

Digital student portals

Online registration and results systems

E-library and remote resource access

Campus Wi-Fi for academic use

These initiatives improve the student experience and create an efficient, technology-enabled environment.

🎓 6. Research in Emerging Technologies

The university is involved in pioneering research across emerging technological fields, including:

Agricultural tech (AgriTech)

Environmental monitoring using sensors

Renewable energy systems

Students and faculty publish research in international journals and participate in global tech events.

🏆 7. Recognition in National Competitions

SUSL students often reach fina rounds or win national competitions in coding, robotics, AI, and IoT innovation.

Faculty members are invited as tech advisors and conference speakers, reinforcing the university's expertise.

Sabaragamuwa University is actively shaping the future not only with technology, but by integrating technology into education, research and operations. This makes it a technological leader among Sri Lankan Universities. Visit the official university site here: Home | SUSL

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pranjj · 29 days ago

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Udaan by InAmigos Foundation: Elevating Women, Empowering Futures

In the rapidly evolving socio-economic landscape of India, millions of women remain underserved by mainstream development efforts—not due to a lack of talent, but a lack of access. In response, Project Udaan, a flagship initiative by the InAmigos Foundation, emerges not merely as a program, but as a model of scalable women's empowerment.

Udaan—meaning “flight” in Hindi—represents the aspirations of rural and semi-urban women striving to break free from intergenerational limitations. By engineering opportunity and integrating sustainable socio-technical models, Udaan transforms potential into productivity and promise into progress.

Mission: Creating the Blueprint for Women’s Self-Reliance

At its core, Project Udaan seeks to:

Empower women with industry-aligned, income-generating skills

Foster micro-entrepreneurship rooted in local demand and resources

Facilitate financial and digital inclusion

Strengthen leadership, health, and rights-based awareness

Embed resilience through holistic community engagement

Each intervention is data-informed, impact-monitored, and custom-built for long-term sustainability—a hallmark of InAmigos Foundation’s field-tested grassroots methodology.

A Multi-Layered Model for Empowerment

Project Udaan is built upon a structured architecture that integrates training, enterprise, and technology to ensure sustainable outcomes. This model moves beyond skill development into livelihood generation and measurable socio-economic change.

1. Skill Development Infrastructure

The first layer of Udaan is a robust skill development framework that delivers localized, employment-focused education. Training modules are modular, scalable, and aligned with the socio-economic profiles of the target communities.

Core domains include:

Digital Literacy: Basic computing, mobile internet use, app navigation, and digital payment systems

Tailoring and Textile Production: Pattern making, machine stitching, finishing techniques, and indigenous craft techniques

Food Processing and Packaging: Pickle-making, spice grinding, home-based snack units, sustainable packaging

Salon and Beauty Skills: Basic grooming, hygiene standards, customer interaction, and hygiene protocols

Financial Literacy and Budgeting: Saving schemes, credit access, banking interfaces, micro-investments

Communication and Self-Presentation: Workplace confidence, customer handling, local language fluency

2. Microenterprise Enablement and Livelihood Incubation

To ensure that learning transitions into economic self-reliance, Udaan incorporates a post-training enterprise enablement process. It identifies local market demand and builds backward linkages to equip women to launch sustainable businesses.

The support ecosystem includes:

Access to seed capital via self-help group (SHG) networks, microfinance partners, and NGO grants

Distribution of startup kits such as sewing machines, kitchen equipment, or salon tools

Digital onboarding support for online marketplaces such as Amazon Saheli, Flipkart Samarth, and Meesho

Offline retail support through tie-ups with local haats, trade exhibitions, and cooperative stores

Licensing and certification where applicable for food safety or textile quality standards

3. Tech-Driven Monitoring and Impact Tracking

Transparency and precision are fundamental to Udaan’s growth. InAmigos Foundation employs its in-house Tech4Change platform to manage operations, monitor performance, and scale the intervention scientifically.

The platform allows:

Real-time monitoring of attendance, skill mastery, and certification via QR codes and mobile tracking

Impact evaluation using household income change, asset ownership, and healthcare uptake metrics

GIS-based mapping of intervention zones and visualization of under-reached areas

Predictive modeling through AI to identify at-risk participants and suggest personalized intervention strategies

Human-Centered, Community-Rooted

Empowerment is not merely a process of economic inclusion—it is a cultural and psychological shift. Project Udaan incorporates gender-sensitive design and community-first outreach to create lasting change.

Key interventions include:

Strengthening of SHG structures and women-led federations to serve as peer mentors

Family sensitization programs targeting male allies—fathers, husbands, brothers—to reduce resistance and build trust

Legal and rights-based awareness campaigns focused on menstrual hygiene, reproductive health, domestic violence laws, and maternal care

Measured Impact and Proven Scalability

Project Udaan has consistently delivered quantifiable outcomes at the grassroots level. As of the latest cycle:

Over 900 women have completed intensive training programs across 60 villages and 4 districts

Nearly 70 percent of participating women reported an average income increase of 30 to 60 percent within 9 months of program completion

420+ micro-enterprises have been launched, 180 of which are now self-sustaining and generating employment for others

More than 5,000 indirect beneficiaries—including children, elderly dependents, and second-generation SHG members—have experienced improved access to nutrition, education, and mobility

Over 20 institutional partnerships and corporate CSR collaborations have supported infrastructure, curriculum design, and digital enablement.

Partnership Opportunities: Driving Collective Impact

The InAmigos Foundation invites corporations, philanthropic institutions, and ecosystem enablers to co-create impact through structured partnerships.

Opportunities include:

Funding the establishment of skill hubs in high-need regions

Supporting enterprise starter kits and training batches through CSR allocations

Mentoring women entrepreneurs via employee volunteering and capacity-building workshops

Co-hosting exhibitions, market linkages, and rural entrepreneurship fairs

Enabling long-term research and impact analytics for policy influence

These partnerships offer direct ESG alignment, brand elevation, and access to inclusive value chains while contributing to a model that demonstrably works.

What Makes Project Udaan Unique?

Unlike one-size-fits-all skilling programs, Project Udaan is rooted in real-world constraints and community aspirations. It succeeds because it combines:

Skill training aligned with current and emerging market demand

Income-first design that integrates microenterprise creation and financial access

Localized community ownership that ensures sustainability and adoption

Tech-enabled operations that ensure transparency and iterative learning

Holistic empowerment encompassing economic, social, and psychological dimensions

By balancing professional training with emotional transformation and economic opportunity, Udaan represents a new blueprint for inclusive growth.

From Promise to Power

Project Udaan, driven by the InAmigos Foundation, proves that when equipped with tools, trust, and training, rural and semi-urban women are capable of becoming not just contributors, but catalysts for socio-economic renewal.

They don’t merely escape poverty—they design their own systems of progress. They don’t just participate—they lead.

Each sewing machine, digital training module, or microloan is not a transaction—it is a declaration of possibility.

This is not charity. This is infrastructure. This is equity, by design.

Udaan is not just a program. It is a platform for a new India.

For partnership inquiries, CSR collaborations, and donation pathways, contact: www.inamigosfoundation.org/Udaan Email: [email protected]

#InAmigosFoundation #ProjectUdaan #UdaanByInAmigos #InAmigosForChange #WomenWithInAmigos

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sorelynobleprophet · 1 month ago

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Unlocking the Future: How Intel is Shaping Tomorrow's Technology Landscape

Introduction

Unlocking the Future: How Intel is Shaping Tomorrow's Technology Landscape

youtube

The Evolution of Semiconductor Technology A Brief History of Semiconductor Development

To truly grasp how Intel shapes technology today, it's important to understand the evolution of semiconductors. Initially developed in the 1950s and '60s, semiconductors revolutionized electronics by allowing devices to become smaller Hop over to this website and more efficient. Intel’s introduction of the first microprocessor in 1971 marked a significant turning point in computing history.

Current Trends in Semiconductor Technology

Intel's Role in Artificial Intelligence Pioneering AI Technologies

Real-World Applications of AI Solutions

Cloud Computing: The New Frontier Intel's Cloud Strategy

Benefits for Businesses Adopting Cloud Solutions

Sustainability Initiatives at Intel Commitment to Green Technology

#Youtube

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mariacallous · 10 months ago

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Major technology companies, including Google, Apple, and Discord, have been enabling people to quickly sign up to harmful “undress” websites, which use AI to remove clothes from real photos to make victims appear to be “nude” without their consent. More than a dozen of these deepfake websites have been using login buttons from the tech companies for months.

A WIRED analysis found 16 of the biggest so-called undress and “nudify” websites using the sign-in infrastructure from Google, Apple, Discord, Twitter, Patreon, and Line. This approach allows people to easily create accounts on the deepfake websites—offering them a veneer of credibility—before they pay for credits and generate images.

While bots and websites that create nonconsensual intimate images of women and girls have existed for years, the number has increased with the introduction of generative AI. This kind of “undress” abuse is alarmingly widespread, with teenage boys allegedly creating images of their classmates. Tech companies have been slow to deal with the scale of the issues, critics say, with the websites appearing highly in search results, paid advertisements promoting them on social media, and apps showing up in app stores.

“This is a continuation of a trend that normalizes sexual violence against women and girls by Big Tech,” says Adam Dodge, a lawyer and founder of EndTAB (Ending Technology-Enabled Abuse). “Sign-in APIs are tools of convenience. We should never be making sexual violence an act of convenience,” he says. “We should be putting up walls around the access to these apps, and instead we're giving people a drawbridge.”

The sign-in tools analyzed by WIRED, which are deployed through APIs and common authentication methods, allow people to use existing accounts to join the deepfake websites. Google’s login system appeared on 16 websites, Discord’s appeared on 13, and Apple’s on six. X’s button was on three websites, with Patreon and messaging service Line’s both appearing on the same two websites.

WIRED is not naming the websites, since they enable abuse. Several are part of wider networks and owned by the same individuals or companies. The login systems have been used despite the tech companies broadly having rules that state developers cannot use their services in ways that would enable harm, harassment, or invade people’s privacy.

After being contacted by WIRED, spokespeople for Discord and Apple said they have removed the developer accounts connected to their websites. Google said it will take action against developers when it finds its terms have been violated. Patreon said it prohibits accounts that allow explicit imagery to be created, and Line confirmed it is investigating but said it could not comment on specific websites. X did not reply to a request for comment about the way its systems are being used.

In the hours after Jud Hoffman, Discord vice president of trust and safety, told WIRED it had terminated the websites’ access to its APIs for violating its developer policy, one of the undress websites posted in a Telegram channel that authorization via Discord was “temporarily unavailable” and claimed it was trying to restore access. That undress service did not respond to WIRED’s request for comment about its operations.

Rapid Expansion

Since deepfake technology emerged toward the end of 2017, the number of nonconsensual intimate videos and images being created has grown exponentially. While videos are harder to produce, the creation of images using “undress” or “nudify” websites and apps has become commonplace.

“We must be clear that this is not innovation, this is sexual abuse,” says David Chiu, San Francisco’s city attorney, who recently opened a lawsuit against undress and nudify websites and their creators. Chiu says the 16 websites his office’s lawsuit focuses on have had around 200 million visits in the first six months of this year alone. “These websites are engaged in horrific exploitation of women and girls around the globe. These images are used to bully, humiliate, and threaten women and girls,” Chiu alleges.

The undress websites operate as businesses, often running in the shadows—proactively providing very few details about who owns them or how they operate. Websites run by the same people often look similar and use nearly identical terms and conditions. Some offer more than a dozen different languages, demonstrating the worldwide nature of the problem. Some Telegram channels linked to the websites have tens of thousands of members each.

The websites are also under constant development: They frequently post about new features they are producing—with one claiming their AI can customize how women’s bodies look and allow “uploads from Instagram.” The websites generally charge people to generate images and can run affiliate schemes to encourage people to share them; some have pooled together into a collective to create their own cryptocurrency that could be used to pay for images.

A person identifying themself as Alexander August and the CEO of one of the websites, responded to WIRED, saying they “understand and acknowledge the concerns regarding the potential misuse of our technology.” The person claims the website has put in place various safety mechanisms to prevent images of minors being created. “We are committed to taking social responsibility and are open to collaborating with official bodies to enhance transparency, safety, and reliability in our services,” they wrote in an email.

The tech company logins are often presented when someone tries to sign up to the site or clicks on buttons to try generating images. It is unclear how many people will have used the login methods, and most websites also allow people to create accounts with just their email address. However, of the websites reviewed, the majority had implemented the sign-in APIs of more than one technology company, with Sign-In With Google being the most widely used. When this option is clicked, prompts from the Google system say the website will get people’s name, email addresses, language preferences, and profile picture.

Google’s sign-in system also reveals some information about the developer accounts linked to a website. For example, four websites are linked to one Gmail account; another six websites are linked to another. “In order to use Sign in with Google, developers must agree to our Terms of Service, which prohibits the promotion of sexually explicit content as well as behavior or content that defames or harasses others,” says a Google spokesperson, adding that “appropriate action” will be taken if these terms are broken.

Other tech companies that had sign-in systems being used said they have banned accounts after being contacted by WIRED.

Hoffman from Discord says that as well as taking action on the websites flagged by WIRED, the company will “continue to address other websites we become aware of that violate our policies.” Apple spokesperson Shane Bauer says it has terminated multiple developer’s licenses with Apple, and that Sign In With Apple will no longer work on their websites. Adiya Taylor, corporate communications lead at Patreon, says it prohibits accounts that allow or fund access to external tools that can produce adult materials or explicit imagery. “We will take action on any works or accounts on Patreon that are found to be in violation of our Community Guidelines.”

As well as the login systems, several of the websites displayed the logos of Mastercard or Visa, implying they can possibly be used to pay for their services. Visa did not respond to WIRED’s request for comment, while a Mastercard spokesperson says “purchases of nonconsensual deepfake content are not allowed on our network,” and that it takes action when it detects or is made aware of any instances.

On multiple occasions, tech companies and payment providers have taken action against AI services allowing people to generate nonconsensual images or video after media reports about their activities. Clare McGlynn, a professor of law at Durham University who has expertise in the legal regulation of pornography and sexual violence and abuse online, says Big Tech platforms are enabling the growth of undress websites and similar websites by not proactively taking action against them.

“What is concerning is that these are the most basic of security steps and moderation that are missing or not being enforced,” McGlynn says of the sign-in systems being used, adding that it is “wholly inadequate” for companies to react when journalists or campaigners highlight how their rules are being easily dodged. “It is evident that they simply do not care, despite their rhetoric,” McGlynn says. “Otherwise they would have taken these most simple steps to reduce access.”

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marchubbardus · 2 months ago

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Top 5 Reasons Companies Partner with Joaquin Fagundo for IT Strategy

In today’s fast-paced digital world, businesses are constantly evolving to keep up with the changing technological landscape. From cloud migrations to IT optimization, many organizations are turning to expert technology executives to guide them through complex transformations. One such executive who has gained significant recognition is Joaquin Fagundo, a technology leader with over two decades of experience in driving digital transformation. Having worked at prominent firms like Google, Capgemini, and Tyco, Fagundo has built a reputation for delivering large-scale, innovative solutions to complex IT challenges. But what makes Joaquin Fagundo such a sought-after leader in IT strategy? Here are the Top 5 Reasons Companies Partner with Joaquin Fagundo for IT Strategy.

1. Proven Expertise in Digital Transformation

Joaquin Fagundo’s career spans more than 20 years, during which he has worked on high-stakes projects that require a deep understanding of digital transformation. His experience spans various industries, helping businesses leverage cutting-edge technologies to improve operations, enhance efficiency, and streamline processes.

Fagundo has helped organizations transition from legacy systems to modern cloud-based infrastructure, allowing them to scale effectively and stay competitive in an increasingly digital world. His hands-on experience in cloud strategy, automation, and enterprise IT makes him an invaluable asset for any business looking to adapt to new technologies. Companies partner with Joaquin Fagundo because they know they will receive strategic insights and actionable plans for driving their digital initiatives forward.

2. Strategic Cloud Expertise for Scalable Solutions

Cloud technology is no longer a trend—it is the backbone of modern businesses. Joaquin Fagundo has an extensive background in cloud strategy, having successfully led major cloud migrations for several large organizations. Whether it's migrating to a public cloud, optimizing hybrid infrastructures, or implementing cloud-native applications, Fagundo’s expertise helps businesses navigate these complexities with ease.

Companies partnering with Joaquin Fagundo can expect a tailored cloud strategy that ensures scalability and cost-efficiency. His deep knowledge of cloud services like AWS, Google Cloud, and Microsoft Azure enables him to develop bespoke solutions that meet specific business needs while minimizing downtime and disruption. His approach not only focuses on the technical aspects of cloud migration but also on aligning cloud solutions with overarching business goals, ensuring that companies can reap the full benefits of cloud technology.

3. Strong Track Record of Driving Operational Efficiency

Operational efficiency is a top priority for most businesses today. Companies partner with Joaquin Fagundo because of his exceptional ability to optimize IT operations and implement automation technologies that enhance productivity while reducing costs. Whether it’s through automating routine tasks or improving infrastructure management, Fagundo’s strategies enable organizations to streamline their operations and focus on growth.

Fagundo’s leadership in infrastructure optimization has allowed businesses to reduce waste, lower operational expenses, and improve the performance of their IT systems. His expertise in automation tools and AI-driven insights empowers businesses to become more agile and responsive to market demands. By partnering with Fagundo, companies are able to make smarter decisions, optimize resource utilization, and achieve long-term sustainability.

4. Business-Technology Alignment

One of the most significant challenges that organizations face is aligning their IT strategies with broader business goals. While technology can drive innovation and efficiency, it’s only effective when it is tightly integrated with the company’s vision and objectives. Joaquin Fagundo understands this concept deeply and emphasizes the importance of business-technology alignment in every project he undertakes.

Fagundo’s approach to IT strategy is not just about implementing the latest technology, but also ensuring that it supports the company’s strategic direction. He works closely with leadership teams to identify key business objectives and tailors technology solutions that drive measurable business outcomes. This focus on alignment helps companies ensure that every IT investment contributes to long-term growth, profitability, and competitive advantage.

5. Trusted Leadership and Change Management Expertise

Digital transformation and IT strategy changes often require a significant cultural shift within an organization. Change management is a critical component of any IT transformation, and this is an area where Joaquin Fagundo excels. Over the years, Fagundo has successfully led large teams through organizational changes, helping them navigate complex transformations with minimal resistance.

Fagundo’s leadership skills are a key reason why companies partner with him. He is known for his ability to inspire teams, foster collaboration, and lead through uncertainty. His people-centric approach to technology implementation ensures that employees at all levels are equipped with the knowledge and tools they need to succeed. Whether it’s through training sessions, workshops, or mentorship, Fagundo prioritizes the human aspect of IT transformation, making the process smoother and more sustainable for everyone involved.

Conclusion

Partnering with a technology executive like Joaquin Fagundo can provide businesses with a competitive edge in an increasingly digital world. With his deep technical expertise, strategic insight, and ability to align technology with business goals, Fagundo has helped countless organizations successfully navigate their IT challenges. Whether it's through cloud strategy, digital transformation, or operational optimization, Joaquin Fagundo is the go-to leader for companies looking to stay ahead of the curve.

If your company is ready to accelerate its digital transformation journey and leverage cutting-edge technology for long-term success, partnering with Joaquin Fagundo could be the first step toward achieving your business goals. With his proven track record, expertise, and leadership, Fagundo is the ideal partner to guide your organization into the future of IT strategy.

#JoaquinFagundo #DigitalTransformation #CloudStrategy #TechLeadership #CloudMigration #BusinessStrategy

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govindhtech · 2 months ago

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Google Cloud’s BigQuery Autonomous Data To AI Platform

BigQuery automates data analysis, transformation, and insight generation using AI. AI and natural language interaction simplify difficult operations.

The fast-paced world needs data access and a real-time data activation flywheel. Artificial intelligence that integrates directly into the data environment and works with intelligent agents is emerging. These catalysts open doors and enable self-directed, rapid action, which is vital for success. This flywheel uses Google's Data & AI Cloud to activate data in real time. BigQuery has five times more organisations than the two leading cloud providers that just offer data science and data warehousing solutions due to this emphasis.

Examples of top companies:

With BigQuery, Radisson Hotel Group enhanced campaign productivity by 50% and revenue by over 20% by fine-tuning the Gemini model.

By connecting over 170 data sources with BigQuery, Gordon Food Service established a scalable, modern, AI-ready data architecture. This improved real-time response to critical business demands, enabled complete analytics, boosted client usage of their ordering systems, and offered staff rapid insights while cutting costs and boosting market share.

J.B. Hunt is revolutionising logistics for shippers and carriers by integrating Databricks into BigQuery.

General Mills saves over $100 million using BigQuery and Vertex AI to give workers secure access to LLMs for structured and unstructured data searches.

Google Cloud is unveiling many new features with its autonomous data to AI platform powered by BigQuery and Looker, a unified, trustworthy, and conversational BI platform:

New assistive and agentic experiences based on your trusted data and available through BigQuery and Looker will make data scientists, data engineers, analysts, and business users' jobs simpler and faster.

Advanced analytics and data science acceleration: Along with seamless integration with real-time and open-source technologies, BigQuery AI-assisted notebooks improve data science workflows and BigQuery AI Query Engine provides fresh insights.

Autonomous data foundation: BigQuery can collect, manage, and orchestrate any data with its new autonomous features, which include native support for unstructured data processing and open data formats like Iceberg.

Look at each change in detail.

User-specific agents

It believes everyone should have AI. BigQuery and Looker made AI-powered helpful experiences generally available, but Google Cloud now offers specialised agents for all data chores, such as:

Data engineering agents integrated with BigQuery pipelines help create data pipelines, convert and enhance data, discover anomalies, and automate metadata development. These agents provide trustworthy data and replace time-consuming and repetitive tasks, enhancing data team productivity. Data engineers traditionally spend hours cleaning, processing, and confirming data.

The data science agent in Google's Colab notebook enables model development at every step. Scalable training, intelligent model selection, automated feature engineering, and faster iteration are possible. This agent lets data science teams focus on complex methods rather than data and infrastructure.

Looker conversational analytics lets everyone utilise natural language with data. Expanded capabilities provided with DeepMind let all users understand the agent's actions and easily resolve misconceptions by undertaking advanced analysis and explaining its logic. Looker's semantic layer boosts accuracy by two-thirds. The agent understands business language like “revenue” and “segments” and can compute metrics in real time, ensuring trustworthy, accurate, and relevant results. An API for conversational analytics is also being introduced to help developers integrate it into processes and apps.

In the BigQuery autonomous data to AI platform, Google Cloud introduced the BigQuery knowledge engine to power assistive and agentic experiences. It models data associations, suggests business vocabulary words, and creates metadata instantaneously using Gemini's table descriptions, query histories, and schema connections. This knowledge engine grounds AI and agents in business context, enabling semantic search across BigQuery and AI-powered data insights.

All customers may access Gemini-powered agentic and assistive experiences in BigQuery and Looker without add-ons in the existing price model tiers!

Accelerating data science and advanced analytics

BigQuery autonomous data to AI platform is revolutionising data science and analytics by enabling new AI-driven data science experiences and engines to manage complex data and provide real-time analytics.

First, AI improves BigQuery notebooks. It adds intelligent SQL cells to your notebook that can merge data sources, comprehend data context, and make code-writing suggestions. It also uses native exploratory analysis and visualisation capabilities for data exploration and peer collaboration. Data scientists can also schedule analyses and update insights. Google Cloud also lets you construct laptop-driven, dynamic, user-friendly, interactive data apps to share insights across the organisation.

This enhanced notebook experience is complemented by the BigQuery AI query engine for AI-driven analytics. This engine lets data scientists easily manage organised and unstructured data and add real-world context—not simply retrieve it. BigQuery AI co-processes SQL and Gemini, adding runtime verbal comprehension, reasoning skills, and real-world knowledge. Their new engine processes unstructured photographs and matches them to your product catalogue. This engine supports several use cases, including model enhancement, sophisticated segmentation, and new insights.

Additionally, it provides users with the most cloud-optimized open-source environment. Google Cloud for Apache Kafka enables real-time data pipelines for event sourcing, model scoring, communications, and analytics in BigQuery for serverless Apache Spark execution. Customers have almost doubled their serverless Spark use in the last year, and Google Cloud has upgraded this engine to handle data 2.7 times faster.

BigQuery lets data scientists utilise SQL, Spark, or foundation models on Google's serverless and scalable architecture to innovate faster without the challenges of traditional infrastructure.

An independent data foundation throughout data lifetime

An independent data foundation created for modern data complexity supports its advanced analytics engines and specialised agents. BigQuery is transforming the environment by making unstructured data first-class citizens. New platform features, such as orchestration for a variety of data workloads, autonomous and invisible governance, and open formats for flexibility, ensure that your data is always ready for data science or artificial intelligence issues. It does this while giving the best cost and decreasing operational overhead.

For many companies, unstructured data is their biggest untapped potential. Even while structured data provides analytical avenues, unique ideas in text, audio, video, and photographs are often underutilised and discovered in siloed systems. BigQuery instantly tackles this issue by making unstructured data a first-class citizen using multimodal tables (preview), which integrate structured data with rich, complex data types for unified querying and storage.

Google Cloud's expanded BigQuery governance enables data stewards and professionals a single perspective to manage discovery, classification, curation, quality, usage, and sharing, including automatic cataloguing and metadata production, to efficiently manage this large data estate. BigQuery continuous queries use SQL to analyse and act on streaming data regardless of format, ensuring timely insights from all your data streams.

Customers utilise Google's AI models in BigQuery for multimodal analysis 16 times more than last year, driven by advanced support for structured and unstructured multimodal data. BigQuery with Vertex AI are 8–16 times cheaper than independent data warehouse and AI solutions.

Google Cloud maintains open ecology. BigQuery tables for Apache Iceberg combine BigQuery's performance and integrated capabilities with the flexibility of an open data lakehouse to link Iceberg data to SQL, Spark, AI, and third-party engines in an open and interoperable fashion. This service provides adaptive and autonomous table management, high-performance streaming, auto-AI-generated insights, practically infinite serverless scalability, and improved governance. Cloud storage enables fail-safe features and centralised fine-grained access control management in their managed solution.

Finaly, AI platform autonomous data optimises. Scaling resources, managing workloads, and ensuring cost-effectiveness are its competencies. The new BigQuery spend commit unifies spending throughout BigQuery platform and allows flexibility in shifting spend across streaming, governance, data processing engines, and more, making purchase easier.

Start your data and AI adventure with BigQuery data migration. Google Cloud wants to know how you innovate with data.

#technology #technews #govindhtech #news #technologynews #BigQuery autonomous data to AI platform #BigQuery #autonomous data to AI platform #BigQuery platform #autonomous data #BigQuery AI Query Engine

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fenebris-india · 2 months ago

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Why Your Business Might Be Falling Behind Without AI App Development or Modern Web Solutions

In today’s fast-paced digital landscape, staying competitive isn’t just about having an online presence — it’s about having the right kind of presence. Many businesses invest in a website or a mobile app and stop there. But without integrating AI app development services and scalable, intelligent business web development services, they risk falling behind.

So, what’s causing this gap, and how can businesses close it?

The Real Challenge: Businesses Aren’t Evolving with User Expectations

User behavior has dramatically changed over the last few years. Customers expect fast, personalized, and intuitive digital experiences. They want websites that respond to their needs, apps that understand their preferences, and services that anticipate their next move. Businesses that are still running on legacy systems or using outdated platforms simply can’t meet these rising expectations.

Let’s say a user visits your website to schedule a consultation or find a product. If your system takes too long to load or offers no AI-driven suggestions, you’ve already lost them — probably to a competitor that’s already using AI app development services to enhance user interaction.

The Role of AI in Transforming Business Applications

Artificial Intelligence is no longer limited to tech giants. From personalized product recommendations to intelligent customer service chatbots, AI app development services are helping businesses of all sizes create smart, responsive applications.

Some examples of what AI can do in a business app include:

Automating repetitive customer queries

Offering personalized product or content recommendations

Identifying user behavior patterns and adapting accordingly

Reducing human errors in backend processes

By integrating AI into mobile or web apps, companies can streamline operations, improve customer satisfaction, and gain deeper insights into user behavior. And as these capabilities become the new norm, not having them means you’re offering a subpar experience by default.

The Foundation: Scalable Business Web Development Services

While AI powers intelligence, you still need a strong digital infrastructure to support it. This is where business web development services come in.

A well-developed business website isn’t just about looking good. It should be:

Responsive: accessible and easy to navigate on all devices

Scalable: ready to handle increased traffic or new features without a full rebuild

Secure: with updated protocols to protect user data

Fast: with optimized loading times for better user retention

These elements don’t just “happen.” They require planning, strategy, and expertise. Modern business web development services help create these experiences, combining functionality with user-centric design.

Let’s not forget the importance of backend systems either — inventory management, CRM integration, user databases, and more all need to run smoothly in the background to support the front-end user experience.

Why the Gap Still Exists

Despite the availability of these technologies, many businesses hesitate to adopt them. Common reasons include:

Fear of high development costs

Uncertainty about where to start

Lack of technical knowledge or internal teams

Belief that AI and advanced web systems are “only for big companies”

But these concerns often stem from a lack of awareness. Platforms like Fenebris India are already offering tailored AI app development services and business web development services that cater specifically to startups, SMBs, and growing enterprises — without the hefty price tag or complex jargon.

The key is to think in terms of long-term growth rather than short-term fixes. A custom-built AI-enabled app or a modern, scalable web system may require some upfront investment, but it significantly reduces future inefficiencies and technical debt.

How to Start Evolving Your Digital Strategy

If you're not sure where to begin, consider these initial steps:

Audit your current digital presence: What features are outdated or missing?

Identify customer pain points: Are users dropping off before completing actions? Are your support channels responsive enough?

Define your goals: Do you want more engagement, smoother operations, better insights?

Consult experts: Work with a team that understands both AI and business development needs.

You don’t have to overhaul everything at once. Even small changes — like adding a chatbot, integrating AI for personalized content, or improving page speed — can have a significant impact.

Final Thoughts

The future belongs to businesses that adapt quickly and intelligently. Whether it’s by embracing AI app development services to build smarter tools or by investing in professional business web development services to offer faster, more reliable experiences — staying competitive means staying current.

Digital transformation isn’t about trends. It’s about survival, growth, and being there for your customers in the ways they now expect.

#web development company in noida#web development services agency #best artificial intelligence development company#ai app development services

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xublimetech · 3 months ago

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The Future of AI: What’s Next in Machine Learning and Deep Learning?

Artificial Intelligence (AI) has rapidly evolved over the past decade, transforming industries and redefining the way businesses operate. With machine learning and deep learning at the core of AI advancements, the future holds groundbreaking innovations that will further revolutionize technology. As machine learning and deep learning continue to advance, they will unlock new opportunities across various industries, from healthcare and finance to cybersecurity and automation. In this blog, we explore the upcoming trends and what lies ahead in the world of machine learning and deep learning.

1. Advancements in Explainable AI (XAI)

As AI models become more complex, understanding their decision-making process remains a challenge. Explainable AI (XAI) aims to make machine learning and deep learning models more transparent and interpretable. Businesses and regulators are pushing for AI systems that provide clear justifications for their outputs, ensuring ethical AI adoption across industries. The growing demand for fairness and accountability in AI-driven decisions is accelerating research into interpretable AI, helping users trust and effectively utilize AI-powered tools.

2. AI-Powered Automation in IT and Business Processes

AI-driven automation is set to revolutionize business operations by minimizing human intervention. Machine learning and deep learning algorithms can predict and automate tasks in various sectors, from IT infrastructure management to customer service and finance. This shift will increase efficiency, reduce costs, and improve decision-making. Businesses that adopt AI-powered automation will gain a competitive advantage by streamlining workflows and enhancing productivity through machine learning and deep learning capabilities.

3. Neural Network Enhancements and Next-Gen Deep Learning Models

Deep learning models are becoming more sophisticated, with innovations like transformer models (e.g., GPT-4, BERT) pushing the boundaries of natural language processing (NLP). The next wave of machine learning and deep learning will focus on improving efficiency, reducing computation costs, and enhancing real-time AI applications. Advancements in neural networks will also lead to better image and speech recognition systems, making AI more accessible and functional in everyday life.

4. AI in Edge Computing for Faster and Smarter Processing

With the rise of IoT and real-time processing needs, AI is shifting toward edge computing. This allows machine learning and deep learning models to process data locally, reducing latency and dependency on cloud services. Industries like healthcare, autonomous vehicles, and smart cities will greatly benefit from edge AI integration. The fusion of edge computing with machine learning and deep learning will enable faster decision-making and improved efficiency in critical applications like medical diagnostics and predictive maintenance.

5. Ethical AI and Bias Mitigation

AI systems are prone to biases due to data limitations and model training inefficiencies. The future of machine learning and deep learning will prioritize ethical AI frameworks to mitigate bias and ensure fairness. Companies and researchers are working towards AI models that are more inclusive and free from discriminatory outputs. Ethical AI development will involve strategies like diverse dataset curation, bias auditing, and transparent AI decision-making processes to build trust in AI-powered systems.

6. Quantum AI: The Next Frontier

Quantum computing is set to revolutionize AI by enabling faster and more powerful computations. Quantum AI will significantly accelerate machine learning and deep learning processes, optimizing complex problem-solving and large-scale simulations beyond the capabilities of classical computing. As quantum AI continues to evolve, it will open new doors for solving problems that were previously considered unsolvable due to computational constraints.

7. AI-Generated Content and Creative Applications

From AI-generated art and music to automated content creation, AI is making strides in the creative industry. Generative AI models like DALL-E and ChatGPT are paving the way for more sophisticated and human-like AI creativity. The future of machine learning and deep learning will push the boundaries of AI-driven content creation, enabling businesses to leverage AI for personalized marketing, video editing, and even storytelling.

8. AI in Cybersecurity: Real-Time Threat Detection

As cyber threats evolve, AI-powered cybersecurity solutions are becoming essential. Machine learning and deep learning models can analyze and predict security vulnerabilities, detecting threats in real time. The future of AI in cybersecurity lies in its ability to autonomously defend against sophisticated cyberattacks. AI-powered security systems will continuously learn from emerging threats, adapting and strengthening defense mechanisms to ensure data privacy and protection.

9. The Role of AI in Personalized Healthcare

One of the most impactful applications of machine learning and deep learning is in healthcare. AI-driven diagnostics, predictive analytics, and drug discovery are transforming patient care. AI models can analyze medical images, detect anomalies, and provide early disease detection, improving treatment outcomes. The integration of machine learning and deep learning in healthcare will enable personalized treatment plans and faster drug development, ultimately saving lives.

10. AI and the Future of Autonomous Systems

From self-driving cars to intelligent robotics, machine learning and deep learning are at the forefront of autonomous technology. The evolution of AI-powered autonomous systems will improve safety, efficiency, and decision-making capabilities. As AI continues to advance, we can expect self-learning robots, smarter logistics systems, and fully automated industrial processes that enhance productivity across various domains.

Conclusion

The future of AI, machine learning and deep learning is brimming with possibilities. From enhancing automation to enabling ethical and explainable AI, the next phase of AI development will drive unprecedented innovation. Businesses and tech leaders must stay ahead of these trends to leverage AI's full potential. With continued advancements in machine learning and deep learning, AI will become more intelligent, efficient, and accessible, shaping the digital world like never before.

Are you ready for the AI-driven future? Stay updated with the latest AI trends and explore how these advancements can shape your business!

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