#Big data in business

[saayamovers]

Top 5 Trending Business Topics in 2023: AI, Big Data, Cybersecurity, Cloud Computing, and Remote Work

Top 5 Trending Business Topics in 2023

The business world is constantly evolving, and new trends are emerging all the time. To stay ahead of the curve, it's important to be aware of the latest trends and how they are impacting businesses of all sizes.

Here are five of the top trending business topics in 2023:

Artificial intelligence (AI)

AI is rapidly changing the business landscape, and it's only going to become more important in the coming years. Businesses are using AI to automate tasks, improve customer service, and develop new products and services.

For example, AI is being used to develop chatbots that can answer customer questions and provide support 24/7. AI is also being used to develop personalized product recommendations and marketing campaigns.

If you're not already using AI in your business, now is the time to start. AI can help you improve efficiency, productivity, and profits.

Big data

Big data is another important trend that is impacting businesses of all sizes. Big data is the collection and analysis of large amounts of data. Businesses are using big data to gain insights into their customers, improve their products and services, and make better business decisions.

For example, businesses are using big data to identify customer trends and preferences. They are also using big data to develop targeted marketing campaigns and improve their pricing strategies.

If you're not already using big data in your business, you're missing out on a valuable opportunity. Big data can help you make better business decisions and improve your bottom line.

Cybersecurity

Cybersecurity is a top concern for businesses of all sizes. As cyber threats become more sophisticated, it's important for businesses to take steps to protect themselves.

Businesses are investing in cybersecurity solutions such as firewalls, intrusion detection systems, and encryption. They are also training their employees on cybersecurity best practices.

If you're not already investing in cybersecurity, you're putting your business at risk. Cybersecurity is essential for protecting your data and your bottom line.

Cloud computing

Cloud computing is another important trend that is impacting businesses of all sizes. Cloud computing is the delivery of computing services over the internet. Businesses are using cloud computing to store data, run applications, and develop new products and services.

For example, businesses are using cloud computing to store customer data and financial records. They are also using cloud computing to run applications such as CRM and ERP systems.

If you're not already using cloud computing in your business, you're missing out on a valuable opportunity. Cloud computing can help you reduce costs, improve efficiency, and scale your business more easily.

Remote work

Remote work is a growing trend that is being accelerated by the COVID-19 pandemic. More and more businesses are allowing their employees to work remotely, either full-time or part-time.

Remote work offers a number of benefits for both businesses and employees. Businesses can save money on office space and expenses, and employees can enjoy greater flexibility and work-life balance.

If you're not already offering remote work options to your employees, you should consider doing so. Remote work can help you attract and retain top talent, and it can also boost employee productivity and satisfaction.

How to Prepare for the Future of Business

The business world is constantly changing, and it's important to be prepared for the future. Here are a few tips:

Stay up-to-date on the latest trends. Read industry publications, attend conferences, and network with other business professionals to stay informed about the latest trends and how they are impacting your industry.

Invest in new technologies. New technologies can help you improve efficiency, productivity, and profitability. Consider investing in AI, big data, cloud computing, and other new technologies that are relevant to your industry.

Upskill and reskill your workforce. As the economy changes, so too do the skills that are needed for success. Make sure your employees have the skills they need to succeed in the future by offering them training and development opportunities.

Be agile and adaptable. The business world is constantly changing, so it's important to be agile and adaptable. Be prepared to change your business strategy and operations as needed in response to new trends and challenges.

By following these tips, you can prepare your business for the future and ensure that it remains successful.

[wistfulwatcher]

[seonghwacore]

be real honest. which member of your favorite group whose personality is actually similar to you? are they your bias or not?

[my-thoughts-and-junk]

a character's self-deprication being what keeps them from being in a relationship can be really good but mostly when the self deprication is 1. justified and 2. only no longer an issue because their significant other is Into whatever they're angsting about

[jcmarchi]

OpenAI counter-sues Elon Musk for attempts to ‘take down’ AI rival

New Post has been published on https://thedigitalinsider.com/openai-counter-sues-elon-musk-for-attempts-to-take-down-ai-rival/

OpenAI counter-sues Elon Musk for attempts to ‘take down’ AI rival

OpenAI has launched a legal counteroffensive against one of its co-founders, Elon Musk, and his competing AI venture, xAI.

In court documents filed yesterday, OpenAI accuses Musk of orchestrating a “relentless” and “malicious” campaign designed to “take down OpenAI” after he left the organisation years ago.

Elon’s nonstop actions against us are just bad-faith tactics to slow down OpenAI and seize control of the leading AI innovations for his personal benefit. Today, we counter-sued to stop him.

— OpenAI Newsroom (@OpenAINewsroom) April 9, 2025

The court filing, submitted to the US District Court for the Northern District of California, alleges Musk could not tolerate OpenAI’s success after he had “abandoned and declared [it] doomed.”

OpenAI is now seeking legal remedies, including an injunction to stop Musk’s alleged “unlawful and unfair action” and compensation for damages already caused.   

Origin story of OpenAI and the departure of Elon Musk

The legal documents recount OpenAI’s origins in 2015, stemming from an idea discussed by current CEO Sam Altman and President Greg Brockman to create an AI lab focused on developing artificial general intelligence (AGI) – AI capable of outperforming humans – for the “benefit of all humanity.”

Musk was involved in the launch, serving on the initial non-profit board and pledging $1 billion in donations.   

However, the relationship fractured. OpenAI claims that between 2017 and 2018, Musk’s demands for “absolute control” of the enterprise – or its potential absorption into Tesla – were rebuffed by Altman, Brockman, and then-Chief Scientist Ilya Sutskever. The filing quotes Sutskever warning Musk against creating an “AGI dictatorship.”

Following this disagreement, OpenAI alleges Elon Musk quit in February 2018, declaring the venture would fail without him and that he would pursue AGI development at Tesla instead. Critically, OpenAI contends the pledged $1 billion “was never satisfied—not even close”.   

Restructuring, success, and Musk’s alleged ‘malicious’ campaign

Facing escalating costs for computing power and talent retention, OpenAI restructured and created a “capped-profit” entity in 2019 to attract investment while remaining controlled by the non-profit board and bound by its mission. This structure, OpenAI states, was announced publicly and Musk was offered equity in the new entity but declined and raised no objection at the time.   

OpenAI highlights its subsequent breakthroughs – including GPT-3, ChatGPT, and GPT-4 – achieved massive public adoption and critical acclaim. These successes, OpenAI emphasises, were made after the departure of Elon Musk and allegedly spurred his antagonism.

The filing details a chronology of alleged actions by Elon Musk aimed at harming OpenAI:   

Founding xAI: Musk “quietly created” his competitor, xAI, in March 2023.   

Moratorium call: Days later, Musk supported a call for a development moratorium on AI more advanced than GPT-4, a move OpenAI claims was intended “to stall OpenAI while all others, most notably Musk, caught up”.   

Records demand: Musk allegedly made a “pretextual demand” for confidential OpenAI documents, feigning concern while secretly building xAI.   

Public attacks: Using his social media platform X (formerly Twitter), Musk allegedly broadcast “press attacks” and “malicious campaigns” to his vast following, labelling OpenAI a “lie,” “evil,” and a “total scam”.   

Legal actions: Musk filed lawsuits, first in state court (later withdrawn) and then the current federal action, based on what OpenAI dismisses as meritless claims of a “Founding Agreement” breach.   

Regulatory pressure: Musk allegedly urged state Attorneys General to investigate OpenAI and force an asset auction.   

“Sham bid”: In February 2025, a Musk-led consortium made a purported $97.375 billion offer for OpenAI, Inc.’s assets. OpenAI derides this as a “sham bid” and a “stunt” lacking evidence of financing and designed purely to disrupt OpenAI’s operations, potential restructuring, fundraising, and relationships with investors and employees, particularly as OpenAI considers evolving its capped-profit arm into a Public Benefit Corporation (PBC). One investor involved allegedly admitted the bid’s aim was to gain “discovery”.   

Based on these allegations, OpenAI asserts two primary counterclaims against both Elon Musk and xAI:

Unfair competition: Alleging the “sham bid” constitutes an unfair and fraudulent business practice under California law, intended to disrupt OpenAI and gain an unfair advantage for xAI.   

Tortious interference with prospective economic advantage: Claiming the sham bid intentionally disrupted OpenAI’s existing and potential relationships with investors, employees, and customers. 

OpenAI argues Musk’s actions have forced it to divert resources and expend funds, causing harm. They claim his campaign threatens “irreparable harm” to their mission, governance, and crucial business relationships. The filing also touches upon concerns regarding xAI’s own safety record, citing reports of its AI Grok generating harmful content and misinformation.

Elon’s never been about the mission. He’s always had his own agenda. He tried to seize control of OpenAI and merge it with Tesla as a for-profit – his own emails prove it. When he didn’t get his way, he stormed off.

Elon is undoubtedly one of the greatest entrepreneurs of our…

— OpenAI Newsroom (@OpenAINewsroom) April 9, 2025

The counterclaims mark a dramatic escalation in the legal battle between the AI pioneer and its departed co-founder. While Elon Musk initially sued OpenAI alleging a betrayal of its founding non-profit, open-source principles, OpenAI now contends Musk’s actions are a self-serving attempt to undermine a competitor he couldn’t control.

With billions at stake and the future direction of AGI in the balance, this dispute is far from over.

See also: Deep Cogito open LLMs use IDA to outperform same size models

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[techsikhm]

[truetechreview]

How DeepSeek AI Revolutionizes Data Analysis

1. Introduction: The Data Analysis Crisis and AI’s Role2. What Is DeepSeek AI?3. Key Features of DeepSeek AI for Data Analysis4. How DeepSeek AI Outperforms Traditional Tools5. Real-World Applications Across Industries6. Step-by-Step: Implementing DeepSeek AI in Your Workflow7. FAQs About DeepSeek AI8. Conclusion 1. Introduction: The Data Analysis Crisis and AI’s Role Businesses today generate…

[literalsunhobi]

my brain rn instead of letting me sleep and creating a million theories about jhope’s and bts’ schedules

[cozidreamsreimagine]

Is Your Phone Listening to You? (Probably.) 🤨

Okay, how many times have you talked about something random, like, say, Victorian doorknobs, and then BAM! Your phone's suddenly showing you ads for antique hardware? 🧐 Yeah, it's creepy AF. But is your phone actually listening to you? Short answer: probably.

The Data Minefield

Look, we all know those "free" apps aren't actually free. You're paying with your data, babe. And that data includes, yep, your voice. Companies use this info to target ads, and while they claim they're not recording your every word, it sure feels that way sometimes, doesn't it?

Fight Back Against the Algorithm

So, what can you do? Well, you can ditch your smartphone and live off the grid (tempting, tbh). Or, you can be a little more mindful of the apps you use, check your privacy settings, and maybe, just maybe, have those weird conversations about Victorian doorknobs in person. Just sayin'. 😉

Want to add some personality to your tech while you ponder the mysteries of the digital age? Head over to my shop for some cool designs that'll make your phone (and you) look fly. 😎

[elsa16744]

Big Data and AI: The Perfect Partnership for Future Innovations 

Innovation allows organizations to excel at differentiation, boosting competitive advantages. Amid the growth of industry-disrupting technologies, big data analytics and artificial intelligence (AI) professionals want to support brands seeking bold design, delivery, and functionality ideas. This post discusses the importance of big data and AI, explaining why they matter to future innovations and business development. 

Understanding Big Data and AI 

Big data is a vast data volume, and you will find mixed data structures because of continuous data collection involving multimedia data objects. A data object or asset can be a document, an audio track, a video clip, a photo, or identical objects with special file formats. Since big data services focus on sorting and exploring data objects’ attributes at an unprecedented scale, integrating AI tools is essential. 

Artificial intelligence helps computers simulate human-like thinking and idea synthesis capabilities. Most AI ecosystems leverage advanced statistical methods and machine learning models. Their developers train the AI tools to develop and document high-quality insights by processing unstructured and semi-structured data objects. 

As a result, the scope of big data broadens if you add AI integrations that can determine data context. Businesses can generate new ideas instead of recombining recorded data or automatically filter data via AI-assisted quality assurances. 

Why Are Big Data and AI Perfect for Future Innovations? 

1| They Accelerate Scientific Studies  

Material sciences, green technology projects, and rare disorder research projects have provided humans with exceptional lifestyle improvements. However, as markets mature, commoditization becomes inevitable. 

At the same time, new, untested ideas can fail, attracting regulators’ dismay, disrespecting consumers’ beliefs, or hurting the environment. Additionally, bold ideas must not alienate consumers due to inherent complexity. Therefore, private sector stakeholders must employ scientific methods to identify feasible, sustainable, and consumer-friendly product ideas for brand differentiation.  

AI-powered platforms and business analytics solutions help global corporations immediately acquire, filter, and document data assets for independent research projects. For instance, a pharmaceutical firm can use them during clinical drug formulations and trials, while a car manufacturer might discover efficient production tactics using AI and big data. 

2| Brands Can Objectively Evaluate Forward-Thinking Business Ideas 

Some business ideas that a few people thought were laughable or unrealistic a few decades ago have forced many brands and professionals to abandon conventional strategies. Consider how streaming platforms’ founders affected theatrical film releases. They have reduced the importance of box office revenues while increasing independent artists’ discoverability. 

Likewise, exploring real estate investment opportunities on a tiny mobile or ordering clothes online were bizarre practices, according to many non-believers. They also predicted socializing through virtual reality (VR) avatars inside a computer-generated three-dimensional space would attract only the tech-savvy young adults. 

Today, customers and investors who underestimated those innovations prefer religiously studying how disrupting startups perform. Brands care less about losing money than missing an opportunity to be a first mover for a niche consumer base. Similarly, rejecting an idea without testing it at least a few times has become a taboo. 

Nobody can be 100% sure which innovation will gain global momentum, but AI and big data might provide relevant hints. These technologies are best for conducting unlimited scenario analyses and testing ideas likely to satisfy tomorrow’s customer expectations. 

3| AI-Assisted Insight Explorations Gamifies Idea Synthesis 

Combining a few ideas is easy but finding meaningful and profitable ideas by sorting the best ones is daunting. Innovative individuals must embrace AI recommendations to reduce time spent on brainstorming, product repurposing, and multidisciplinary collaborations. Furthermore, they can challenge themselves to find ideas better than an AI tool. 

Gamification of brainstorming will facilitate a healthy pursuit of novel product features, marketing strategies, and customer journey personalization. Additionally, incentivizing employees to leverage AI and big data to experiment with designing methods provides unique insights for future innovations. 

4| You Can Optimize Supply Chain Components with Big Data and AI Programs 

AI can capture extensive data on supply chains and offer suggestions on alternative supplier relations. Therefore, businesses will revise supply and delivery planning to overcome the flaws in current practices. 

For instance, Gartner awarded Beijing’s JD.com the Technology Innovation Award in 2024 because they combined statistical forecasting. The awardee has developed an explainable artificial intelligence to enhance its supply chain. Other finalists in this award category were Google, Cisco, MTN Group, and Allina Health. 

5| Academia Can Embrace Adaptive Learning and Psychological Well-Being 

Communication barriers and trying to force all learners to follow the standard course material based on a fixed schedule have undermined educational institutions’ goals worldwide. Understandably, expecting teachers to customize courses and multimedia assets for each student is impractical and humanly infeasible. 

As a result, investors, policymakers, parents, and student bodies seek outcome-oriented educational innovations powered by AI and big data for a learner-friendly, inclusive future. For instance, some edtech providers use AI computer-aided learning and teaching ecosystems leveraging videoconferencing, curriculum personalization, and psycho-cognitive support. 

Adaptive learning applications build student profiles and segments like marketers’ consumer categorizations. Their AI integrations can determine the ideal pace for teaching, whether a student exhibits learning disabilities, and whether a college or school has adequate resources. 

Challenges in Promoting Innovations Based on Big Data and AI Use Cases 

Encouraging stakeholders to acknowledge the need for big data and AI might be challenging. After all, uninformed stakeholders are likely to distrust tech-enabled lifestyle changes. Therefore, increasing AI awareness and educating everyone on data ethics are essential. 

In some regions, the IT or network infrastructure necessary for big data is unavailable or prone to stability flaws. This issue requires more investments and talented data specialists to leverage AI tools or conduct predictive analyses. 

Today’s legal frameworks lack provisions for regulating AI, big data, and scenario analytics. So, brands are unsure whether expanding data scope will get public administrators’ approvals. Lawmakers must find a balanced approach to enable AI-powered big data innovations without neglecting consumer rights or “privacy by design” principles. 

Conclusion 

The future of enterprise, institutional, and policy innovations lies in responsible technology implementations. Despite the obstacles, AI enthusiasts are optimistic that more stakeholders will admire the potential of new, disruptive technologies. 

Remember, gamifying how your team finds new ideas or predicting the actual potential of a business model necessitates AI’s predictive insights. At the same time, big data will offer broader perspectives on global supply chains and how to optimize a company’s policies. 

Lastly, academic improvements and scientific research are integral to developing sustainable products, accomplishing educational objectives, and responding to global crises. As a result, the informed stakeholders agree that AI and big data are perfect for shaping future innovations.  

[capitalism-and-analytics]

[khushidubeyblog]

[rexscanonwife]

Y'alll I had a dream about Data last night 🥺💖💘💖

[jcmarchi]

French initiative for responsible AI leaders - AI News

New Post has been published on https://thedigitalinsider.com/french-initiative-for-responsible-ai-leaders-ai-news/

French initiative for responsible AI leaders - AI News

ESSEC Business School and Accenture have announced the launch of a new initiative, ‘AI for Responsible Leadership,’ which marks the 10th anniversary of the establishment of the role of Chair at ESSEC, titled the ESSEC Accenture Strategic Business Analytics Chair.

The initiative aims to encourage the use of artificial intelligence by leaders in ways that are responsible and ethical, and that lead to high levels of professional performance. It aims to provide current and future leaders with the skills they require when faced with challenges in the future; economic, environmental, or social.

Several organisations support the initiative, including institutions, businesses, and specialised groups, including ESSEC Metalab for Data, Technology & Society, and Accenture Research.

Executive Director of the ESSEC Metalab, Abdelmounaim Derraz, spoke of the collaboration, saying, “Technical subjects are continuing to shake up business schools, and AI has opened up opportunities for collaboration between partner companies, researchers, and other members of the ecosystem (students, think tanks, associations, [and] public service).”

ESSEC and Accenture aim to integrate perspectives from multiple fields of expertise, an approach that is a result of experimentation in the decade the Chair has existed.

The elements of the initiative include workshops and talks designed to promote the exchange of knowledge and methods. It will also include a ‘barometer’ to help track AI’s implementation and overall impact on responsible leadership.

The initiative will engage with a network of institutions and academic publications, and an annual Grand Prix will recognise projects that focus on and explore the subject of AI and leadership.

Fabrice Marque, founder of the initiative and the current ESSEC Accenture Strategics Business Analytics Chair, said, “For years, we have explored the potential of using data and artificial intelligence in organisations. The synergies we have developed with our partners (Accenture, Accor, Dataiku, Engie, Eurofins, MSD, Orange) allowed us to evaluate and test innovative solutions before deploying them.

“With this initiative, we’re taking a major step: bringing together an engaged ecosystem to sustainably transform how leaders think, decide, and act in the face of tomorrow’s challenges. Our ambition is clear: to make AI a lever for performance, innovation and responsibility for […] leaders.”

Managing Director at Accenture and sponsor of the ESSEC/Accenture Chair and initiative, Aurélien Bouriot, said, “The ecosystem will benefit from the resources that Accenture puts at its disposal, and will also benefit our employees who participate.”

Laetitia Cailleteau, Managing Director at Accenture and leader of Responsible AI & Generative AI for Europe, highlighted the importance of future leaders understanding all aspects of AI.

“AI is a pillar of the ongoing industrial transformation. Tomorrow’s leaders must understand the technical, ethical, and human aspects and risks – and know how to manage them. In this way, they will be able to maximise value creation and generate a positive impact for the organisation, its stakeholders and society as a whole.”

Image credit: Wikimedia Commons

See also: Microsoft and OpenAI probe alleged data theft by DeepSeek

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[corpusdigitalhub]

Mastering Data Analytics: Your Path to Success Starts at Corpus Digital Hub

Corpus Digital Hub is more than just a training institute—it's a hub of knowledge, innovation, and opportunity. Our mission is simple: to empower individuals with the skills and expertise needed to thrive in the fast-paced world of data analytics. Located in the vibrant city of Calicut, our institute serves as a gateway to endless possibilities and exciting career opportunities.

A Comprehensive Approach to Learning

At Corpus Digital Hub, we believe that education is the key to unlocking human potential. That's why we offer a comprehensive curriculum that covers a wide range of topics, from basic data analysis techniques to advanced machine learning algorithms. Our goal is to provide students with the tools and knowledge they need to succeed in today's competitive job market.

Building Strong Foundations

Success in data analytics begins with a strong foundation. That's why our courses are designed to provide students with a solid understanding of core concepts and principles. Whether you're new to the field or a seasoned professional, our curriculum is tailored to meet your unique needs and aspirations.

Hands-On Experience

Theory is important, but nothing beats hands-on experience. That's why we place a strong emphasis on practical learning at Corpus Digital Hub. From day one, students have the opportunity to work on real-world projects and gain valuable experience that will set them apart in the job market.

A Supportive Learning Environment

At Corpus Digital Hub, we believe that learning is a collaborative effort. That's why we foster a supportive and inclusive learning environment where students feel empowered to ask questions, share ideas, and explore new concepts. Our experienced faculty members are dedicated to helping students succeed and are always available to provide guidance and support.

Cultivating Future Leaders

Our ultimate goal at Corpus Digital Hub is to cultivate the next generation of leaders in data analytics. Through our rigorous curriculum, hands-on approach, and supportive learning environment, we provide students with the tools and confidence they need to excel in their careers and make a positive impact on the world.

Join Us on the Journey

Are you ready to take the next step towards a brighter future? Whether you're a recent graduate, a mid-career professional, or someone looking to make a career change, Corpus Digital Hub welcomes you with open arms. Join us on the journey to mastery in data analytics and unlock your full potential.

Contact Us Today

Ready to get started? Contact Corpus Digital Hub to learn more about our programs, admissions process, and scholarship opportunities. Your journey towards success starts here!

Stay connected with Corpus Digital Hub for the latest news, updates, and success stories from our vibrant community of learners and educators. Together, we'll shape the future of data analytics and make a difference in the world!