Kevin Petrie, the Vice President of Research at Eckerson Group, and Dan O’Brien, research analyst, discussed large language models (LLMs), which are neural networks that analyze text to predict the next word or phrase. These models use training data, often from the internet, to understand word relationships and provide accurate answers to natural language questions.

Analyst Series: Should AI Bots Build Your Data Pipelines?

The release of Open AI’s ChatGPT in November 2022 has driven a tsunami of interest in generative AI. In this Nordea On Your Mind podcast, Johan Trocmé and Viktor Sonebäck explain the ‘big new thing’, Large Language Models, what they can and cannot do, and how generative AI could affect the Scandinavian labour market in the years ahead. And yes, they do touch upon the nightmare scenario, with an AI evolving into a potentially hostile superintelligence that does not wish humans well.

Disclaimer: All opinions and estimates in this podcast are, regardless of source, given in good faith, and may only be valid as of the stated publication date and are subject to change without notice. The podcast is intended only to provide general and preliminary information to investors and shall not be construed as the basis for any investment decision. This publication or report has been prepared by Nordea Markets as general information for private use of investors to whom the publication or report has been distributed, but it is not intended as a personal recommendation of particular financial instruments or strategies and thus it does not provide individually tailored investment advice, and does not take into account the individual investor’s particular financial situation, existing holdings or liabilities, investment knowledge and experience, investment objective and horizon or risk profile and preferences. The investor must particularly ensure the suitability of an investment as regards his/her financial and fiscal situation and investment objectives. The investor bears the risk of losses in connection with an investment. Before acting on any information in this publication or report, it is recommendable to consult one’s financial advisor.

AI taking over our jobs? Don’t panic

This blog examines the upcoming trend of domain-specific LLMs and evaluates three different methods of implementation.
Published at:
https://www.eckerson.com/articles/the-next-wave-of-generative-ai-domain-specific-llms

The Next Wave of Generative AI: Domain-Specific LLMs - Audio Blog

In this episode of the Blockchain Journal podcast, Blockchain Journal editor-in-chief David Berlind interviews Shyam Nagarajan, a global partner with IBM Consulting whose focus is Blockchain and Responsible AI (Artificial Intelligence). Naturally, Nagarajan had a lot to say about the explosive growth of AI, the increasing importance of trusted data in training AI models, and the role that blockchain is uniquely qualified to play when it comes to the responsible, fair, and transparent deployment and governance of AI in the enterprise. 

David and Shyam explore the role of blockchain in ensuring data authenticity and provenance in the so-called "supply chain of AI models." But until actual management consoles and applications are put into business decision-makers' hands, the conversation borders on the theoretical instead of the practical. But IBM is looking to change that with some new application layer governance offerings that sit on top of blockchain with an eye towards ease of access and control. But overall, the conversation highlights the value of blockchain in addressing the challenges and risks associated with AI.

Key Takeaways
* The value of blockchain in the world of AI lies in its ability to ensure the trustworthiness and provenance of the data that AI relies on.
* Blockchain can be used to verify the authenticity and integrity of data used to train AI models, reducing the risks associated with data bias and tampering. 
* An AI-imbued application layer on top of blockchain can provide additional functionality and governance for ease of AI model and data management as well as third-party auditing.
* Education and awareness about AI governance are crucial for organizations to implement responsible AI practices effectively. Today, the need for AI governance is under-appreciated, and it's unclear who within the enterprise should assume the responsibility. This "don't look at me" attitude is delaying the enterprise AI governance conversation while the effects of shadow IT, where unchecked departmental AI deployments start to take root, could become irreversible at the pace things are heading.

To watch the video version of this podcast or read its full-text transcript, go to:
https://blockchainjournal.com/interview/ibm-turns-blockchain-solve-some-ais-thorniest-problems

The video can also be watched on Blockchain Journal's YouTube Channel at https://www.youtube.com/watch?v=Xwc2pkZ3_FI

IBM Turns to Blockchain To Solve Some of AI's Thorniest Problems

The European Union recently passed the first of its kind legal framework on the development, use, and governance of artificial intelligence. It lays out rules and standards with the aim of ensuring technologies are safe and transparent, and do not violate the fundamental rights of an individual.
Published at:
https://www.eckerson.com/articles/the-eu-ai-act-and-the-emergence-of-new-global-standards

The EU AI Act and the Emergence of New Global Standards - Audio Blog

Discover how master data management (MDM)  provides language models with high-quality enterprise data to improve their response accuracy.
Published at:
https://www.eckerson.com/articles/improving-genai-accuracy-with-master-data-management

Improving GenAI Accuracy with Master Data Management - Audio Blog

Discover the transformative power of Generative AI with Large Language Models in this podcast episode. Learn how businesses are using these technologies to drive innovation, automate tasks, and enhance customer experiences. Hear from Impressico Business Solutions about how they’re helping companies embrace AI for growth. https://www.impressico.com/services/technical-capabilities/generative-ai/

Exploring Generative AI with Large Language Models: Future Trends and Real-World Impact

Welcome to AI with Shaily! 👋 I’m Shailendra Kumar, your friendly guide on an exciting journey through the world of artificial intelligence 🤖✨. Today, we’re exploring how large language models (LLMs) are transforming content creation, especially in advertising, and what this means for creators and businesses alike.

Picture this: you’re a writer racing against a tight deadline for an ad campaign ⏰. You need catchy product descriptions, engaging blog posts, and consistent brand messaging that truly connects with your audience. Now imagine having a creative partner who not only gets your brand’s tone and style but can also generate content faster than you can say “deadline!” 🚀 That’s the power of LLMs in 2025. These AI wonders are taking over repetitive writing tasks, freeing up human writers to focus on what they do best — crafting strategies and unleashing creativity 🎨💡.

But LLMs aren’t just about speed. They’re becoming true collaborators 🤝. Whether you’re scripting a memorable promo or filling content gaps on your website, these models help identify what’s missing and suggest smart improvements. They bring a perfect mix of context understanding and linguistic flair, making ad campaigns more consistent, engaging, and impactful across all platforms 🌐📢.

Here’s a thought-provoking question: how much creativity could we unlock if AI handles the tedious details? Personally, I remember my first time using an LLM to brainstorm ideas for a client’s campaign — it felt like having a tireless co-writer who never runs out of energy, saving me hours of work! ⏳✨ The goal isn’t to replace human creativity but to amplify it, making the creative process richer and more efficient.

Before we finish, here’s a bonus tip 💡: when integrating LLMs into your workflow, start by automating repetitive content like product descriptions or social media posts. This helps build a strong, consistent brand voice while giving you more time to focus on big-picture strategies that truly drive results 📈🔥.

Remember the wise words of Steve Jobs: “Innovation distinguishes between a leader and a follower.” In today’s AI-powered world, embracing tools like LLMs is what separates leaders from the rest 🌟🏆.

Don’t forget to join me on YouTube, Twitter, LinkedIn, and Medium, where we dive into the latest AI breakthroughs together. If you enjoyed today’s insights, please subscribe and share your thoughts in the comments — I’d love to hear how you’re using AI in your projects! Until next time, keep innovating and remember: AI with Shaily is your trusted source for all things artificial intelligence! 🚀🤖💬

AI with Shaily: How Large Language Models Are Revolutionizing Advertising Creativity

Welcome to an exciting episode of AI with Shaily, hosted by Shailendra Kumar! 🎙️ Shaily brings you the freshest and most intriguing updates in the world of artificial intelligence, focusing today on a futuristic yet fast-approaching reality: LLM-enabled humanoid robots 🤖🧠. These robots don’t just look human—they can chat with the depth and charm of a seasoned conversationalist, all powered by advanced large language models (LLMs).

Recently, at the University of Canberra’s Collaborative Robotics Lab, a team showcased an impressive LLM-powered humanoid robot during an innovation event. The audience’s reactions were a mix of awe and skepticism, reminiscent of Shaily’s own experience introducing a debate-capable chatbot to his parents 🤔👀. What’s truly groundbreaking is that these robots are designed for multi-session, open-domain dialogues, meaning they can remember past conversations and build ongoing, meaningful relationships. Imagine a robot friend who learns and grows with you—a blend of sci-fi wonder and practical assistant! 🤝✨

On the global stage, the competition to develop these humanoid robots is intensifying 🌍🔥. China aims to meet international standards for humanoid robots by 2025, leveraging generative AI to teach robots new skills without extensive coding. Meanwhile, tech giants like NVIDIA, Alphabet, and Microsoft are crafting the sophisticated AI “brains” that will grant these robots genuine autonomy and intelligence 💡🚀.

Shaily poses a fun question to listeners: If you had an LLM-powered humanoid robot at home, what would you ask it first? Would it be for advice, a joke, or maybe a friendly reminder to water your plants? 🌱😂

For those eager to dive into this fascinating field, Shaily offers a bonus tip: start experimenting with open-source LLM frameworks alongside available robotics kits. Hands-on tinkering accelerates learning and bridges the gap between theory and practice—faster than you can say, “Hello, robot friend!” 🛠️🤖

To close, Shaily shares a thoughtful quote from Isaac Asimov: “I do not fear computers. I fear the lack of them.” This perfectly captures the spirit of embracing AI tools like LLM-enabled humanoid robots as the next great leap for humanity 🌟🤖.

Don’t forget to follow Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium for more insights and lively discussions. Your comments and questions fuel the conversation, so be sure to subscribe and stay connected! This is Shaily signing off—stay curious, stay innovative, and keep exploring the captivating world of AI with him on AI with Shaily! 🚀🤖📲

LLM-Powered Humanoids: The Future of AI Companions Is Here

Welcome to "AI with Shaily," hosted by Shailendra Kumar, your friendly guide through the dynamic and fascinating world of artificial intelligence 🤖✨. Shaily brings clarity, insight, and a touch of humor to help you understand the latest breakthroughs and trends in AI.

In this latest update from August 2025, Shaily dives into the exciting developments around large language models (LLMs) — the powerful AI systems behind chatbots, code generators, and much more. The spotlight is on Google DeepMind’s new release, Gemini 2.5 Pro, which boasts impressive upgrades in reasoning and coding abilities. This AI scored 24 Elo points higher in reasoning tasks and 35 Elo points better in code generation compared to its predecessor. There’s also a specialized “Deep Think” variant that excels at math, signaling a shift where AI is evolving beyond casual conversation to tackle serious problem-solving challenges 🧠💻.

On the other side of the AI spectrum, NVIDIA Research offers a fresh perspective: you don’t always need gigantic models with astronomical cloud budgets (like $57 billion!) to get the job done. Smaller models, with fewer than 10 billion parameters, can effectively handle 60 to 80 percent of the tasks usually reserved for their larger counterparts. Shaily’s own experience with AI projects highlights how this efficiency could revolutionize AI usage by enabling smooth, local device operation — reducing latency, enhancing privacy, and even allowing offline functionality. Imagine AI that’s truly part of your everyday neighborhood, not just a distant cloud service 🌐🏠.

Market dynamics are shifting too. Anthropic, the company behind the Claude AI, has surpassed OpenAI’s ChatGPT in enterprise adoption, capturing a 32% market share. Meanwhile, open-source LLMs face challenges related to performance and licensing, causing them to lag behind proprietary giants. However, Shaily reminds us not to discount open source, as it remains crucial for innovation and accessibility in the AI ecosystem ⚖️🚀.

To engage his audience, Shaily poses a thought-provoking question: as the AI world balances between massive, resource-hungry models and nimble, edge-friendly solutions, which path will best shape the future of AI? He encourages viewers to share their thoughts on social media, fostering a community conversation around this pivotal topic 💬🤔.

Before signing off, Shaily offers a practical tip for AI enthusiasts: start experimenting with smaller, efficient models designed for local deployment. These models strike the perfect balance between performance and cost, while sidestepping privacy concerns — a smart move for anyone eager to explore AI hands-on without breaking the bank or compromising security 🔧💡.

Shaily wraps up with a timeless piece of wisdom: “Simplicity is the ultimate sophistication.” As the race for bigger and better AI models continues, the elegance and accessibility of efficient AI should never be overlooked 🌟.

Stay connected with Shailendra Kumar across YouTube, Twitter, LinkedIn, and Medium for more in-depth AI insights. Don’t forget to subscribe, comment, and join the conversation — because AI is not just technology, it’s a shared journey 🤝📲.

Thanks for tuning in to AI with Shaily, where the future is decoded one byte at a time! 🚀📡

AI with Shaily: August 2025 Breakthroughs in Language Models and the Rise of Efficient AI

Hey, I'm Catherine William Experienced web developer with a strong background in developing applications for diverse clients. I have 5+ years of industry experience in programming, debugging, and wireframes. Now I'm working with Impressico Business Solution. They are offering front-end and UI UX development services and many more. Visit our website to know more about our services.

The world's leading source of information for enterprises and businesses looking to use blockchain as an application platform for digital transformation, business innovation, customer engagement, and industry disruption.

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

Join our experts for a discussion of current hot topics in the corporate world. We talk about a wide range of themes that can affect corporate financial performance, from artificial intelligence and M&A trends to sustainability and corporate leverage, among many others. Aimed at financial professionals, but we do our best to keep it simple.

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

New tracks tagged #LargeLanguageModels