Top AI Resources for Business Growth

Many ask me how I stay updated with all the AI news and announcements. Here are my strategies: 1. Poscasts I Listen to Weekly - All In Podcast: podcast not solely focused on AI; it covers a wide range of topics including economics, technology, politics, social issues, and poker. The hosts—Chamath, Jason, Sacks, and Friedberg—are successful tech veterans. - The AI Podcast is produced by Nvidia. Each episode focuses on one person, one interview, and one story. I like it because it emphasizes AI's impact on our world. - Latent Space: the most technical, from AI Engineers to AI Engineers. It covers in-depth new AI technology with a big focus on Open Source. I also watch all the videos on YouTube from Matthew Berman. He conducts technical deep dives. 2. Social Media Accounts I Follow On X: - Bindu Reddy: CEO of Abacus AI, using Gen AI to build Applied AI and LLM agents and systems at scale, ex-AWS / Google. Her tweets are technical, provocative, and fun. - Jerry Liu, CEO and Founder of LlamaIndex, will provide many updates on their project and examples of famous use cases. - Andrew Ng: Stanford professor and AI luminary, co-founder of Google Brain and Coursera, shares insights on AI research and applications through his active X presence. - Yann LeCun: French computer scientist known for his pioneering work in deep learning and convolutional neural networks, and he is the founding Director of Facebook AI Research. - Rowan Cheung: founder of The Rundown AI newsletter, shares the latest developments in artificial intelligence. - Jim Fan: Researcher at Nvidia, he explains advanced AI innovations and is now focused on Models for Humanoid Robots. On Linkedin: - Philipp Schmid: Technical Lead at HuggingFace, publishes a lot about new Open Source releases and innovations. - Allie Miller: we worked together at IBM; she previously worked as Head of Business Development for Startups at Amazon. She shares a lot of updates and tips on how to apply AI for Business. - Aishwarya Srinivasan: great friend and ex-colleague of IBM. She worked at Google and is now an AI Advisor at Microsoft AI. She posts a lot of educational content. - Bojan Tunguz: senior Systems Software Engineer at Nvidia. He posts insightful content about AI (and xgboost!). 3. Newsletters I Am Subscribed To - The Algorithm: by MIT Technology Review, great to explore and clarify AI breakthroughs weekly and discuss unexpected impacts. - The Rundown AI: My favorite one to get the latest news in AI every day. - The Augmented Advantage: I enjoyed Tobias’ newsletter because it explained the practical application of AI in business. - Alpha Signal: too many papers, too little time to read them all. Get a weekly summary of the top innovations from the researcher community.

JPMorganChase has already deployed 400+ AI use cases, according to Jamie Dimon's latest shareholder letter. That shows the momentum many companies are still aiming for. AI has moved beyond testing. It’s now part of core operations and reshaping how top organizations run. In recent client conversations, I keep getting asked: “Where can I find more AI use cases for inspiration?” So I curated this list of 12 directories that features examples that help teams automate and solve real business problems across industries, from finance and healthcare to logistics and manufacturing. Together, they showcase more than 2,265 practical use cases, from legal ops and customer service to supply chains, compliance, sales and marketing. 📚 The list (in alphabetical order): 1) Amazon – GenAI Customer Stories (280+ use cases) https://lnkd.in/g-GzGaUD 2) Capgemini – Harnessing GenAI Potential (54) https://lnkd.in/gmCuy6i8 3) Deloitte – GenAI Dossier (73) https://lnkd.in/gzjwNz4F 4) EY – AI Use Cases Suite (15) https://lnkd.in/gn4eZnq8 5) Google – 601 Real-World GenAI Use Cases https://lnkd.in/g_Cx7eD3 6) IBM – The Most Valuable AI Use Cases (27) https://lnkd.in/ghy8bcNf 7) Intel Corporation – AI Applications Across Industries (35) https://lnkd.in/gm9hVV2f 8) McKinsey & Company – GenAI in TMT (63+) https://lnkd.in/gaBb6ydz 9) Microsoft – 700+ AI Customer Stories (use cases) https://lnkd.in/gFD2cUhf 10) Oracle – GenAI for Enterprise Apps (17) https://lnkd.in/gTBfEkZP 11) PwC – Applied AI Compass (200+) https://lnkd.in/gyUjZEtQ 12) SAP – AI Use Cases by Department (200) https://lnkd.in/g43WR--i How Tech Leaders Can Use These Directories: 1️⃣ Prioritize what’s proven: Start with repeatable use cases that have scaled in your industry. 2️⃣ Align use cases with business goals: Map examples to your OKRs, not just your tech roadmap. 3️⃣ Use them to shape your GenAI backlog. Turn inspiration into action by feeding use cases into your AI delivery pipeline. 💡 For startup founders: Use these directories to validate product ideas, identify whitespace, or benchmark against how enterprise teams are solving similar problems. If this sparked an idea, save it or pass it along. Appreciate a repost or tag when you share it! I will be sharing more on Agile AI adoption, automation blueprints, and use cases. Follow for the next drop. #GenAI #EnterpriseAI #Startups

Would you like my curated list of 20 go-to resources for understanding AI and its impact on individuals, teams, and organizations? Well - this post is exactly that! 👍👍 I’ve pulled together a curated list (with links) to resources I personally follow, trust, and recommend to anyone looking to stay ahead in the AI space. Whether you’re a leader making strategic AI decisions, a change practitioner driving adoption, or just someone curious about how AI is reshaping work, this list has you covered. You’ll find articles, blogs, podcasts, webinars, and pretty much everything in between. Many of these are ones I have on “periodic repeat” – tucked away for a re-watch or re-read because of the insights loaded within. So, without further adieu... 📚 Enterprise AI Resources, References, and Recommendations – from the desk of Tim Creasey 🔹 The list is divided into five key categories: ✅ Favorites – The essential AI content that has most shaped my thinking. These are definitely on the repeat list. ✅ The State of Enterprise AI (with data) – Reports and surveys that give a data-driven view of organizational AI adoption, today. ✅ People Side of Enterprise AI – How AI is transforming people, teams, and processes. ✅ More Foundation + Year in Review – Contextual and retrospective pieces that track AI’s evolution. ✅ My Own Work – My contributions, insights, and frameworks on AI adoption. A few standout recommendations from the list: 📌 "17 Reflections on Enterprise AI in 2024" – AI Daily Brief (by Nathaniel Whittemore) – A high-level retrospective that sets the stage for what’s coming in 2025. 📌 "Which AI to Use Now" – Ethan Mollick – A practical, research-backed guide on AI capabilities and leading tools. 📌 "2024: The State of Generative AI in the Enterprise" – Menlo Ventures – A data-rich look at AI adoption, investment, and strategy. 📌 "Unlocking AI Adoption" – Prosci – A thought leadership piece on integrating AI successfully within organizations. 📌 "GenAI Exists Because of the Transformer” – The Financial Times – A seminal, visual piece that shaped how I understand how GenAI works. So as of January 29, 2025 – this is what I've been listening to, reading, and watching. AI is evolving at an incredible pace; so should our understanding! Please keep the conversation gong by sharing an insight you took from one of these resources, or one of your favorite go-to AI resources! Drop them below! ⬇️ #AI #EnterpriseAI #AIAdoption #ChangeManagement #AIResources #DigitalTransformation

Want to learn how to make the most effective use of AI, and stay up to date on the major developments without spending a lot of time doing it? Here are six experts you should be following... 🔸 Kris Ograbek - AI Engineer specializing in Large Language Models (LLMs). He characterizes his content as "AI Engineering for Beginners", which is spot on. Despite his deep technical expertise, Kris' content is highly accessible to analysts/business users, and he is very generous about answering questions on his posts. His Medium site is also an AI learning goldmine, and I just started his free course on the Open AI API. A "must follow" if you're interested in better understanding how LLMs work, and how to use them more effectively. Medium: https://lnkd.in/eaubwnwB Free API Course: https://lnkd.in/eWgtf9Rt 🔸 Ethan Mollick - Professor at Wharton, specializing in AI, entrepreneurship, and innovation. His book, "Co-Intelligence - Living and Working with AI" is an incredibly insightful and highly practical guide to understanding the role AI is likely to play from the societal to the individual level, and how we can best partner with this new "alien" coworker. His multiple posts on Linkedin daily are a combination of key news and research, and updates on his own creative experiments in exploring the "jagged frontier" of what AI can do. I also recommend subscribing to his weekly SubStack newsletter at: https://lnkd.in/eF5Fvkbt 🔸 Chad Lauffer and Tianyu Xu - two experts in generative AI. Chad is a long-time Art Director and Graphic Designer, doing amazing things daily with AI images. Tianyu is my primary source for keeping up to date on AI-generated video technology and techniques. His Linkedin feed offers some of the most detailed and useful AI "how to" guides I have found to date. 🔸 The Neuron - this is a short, well-organized and engaging daily summary of the last 24 hour's top AI news and developments.  It's typically the first thing I read in the morning, and it only takes a few minutes to go through. You can read it online, or have it sent to your email.  They also do a good podcast, and maintain a useful list of the best AI tools in various categories: https://www.theneuron.ai/  🔸 AI Explained - IMO by far the best AI content on YouTube. Well-researched, substantive information that draws from the primary research papers and their interviews with key AI players. Avoids the breathless hype of most other AI YouTube content.  https://lnkd.in/g_GXdEea  The host of this site also has a paid Patreon site (link below) that provides a lot of great additional information and interviews, but I think for most people the free YouTube content will be sufficient.        https://lnkd.in/eTuQw-Px I hope you find this helpful. Would love to hear if you have any other "must follow" AI resources. #ai #llm #generativeai