Future of Data and AI

• Joshua Starmer on StatQuest, Storytelling, Next-Gen Learning & His Iconic BAMs

  Before StatQuest became the go-to learning companion for millions of AI and ML practitioners…Before the “BAM! Double BAM! Triple BAM!” became a teaching tool that many learners adore...There was just one guy in a genetics lab, trying desperately to explain his data analysis to coworkers so they didn't think he was working magic.In this deeply personal and inspiring episode, Joshua Starmer (CEO & Founder | StatQuest) shares the real story behind his rise — a journey shaped by strategy, struggle, blunt feedback, and a relentless desire to make complicated ideas simple.What you’ll discover:🔹How Josh went from helping colleagues in a genetics lab to becoming a renowned educator, treasuring his first 9 views and 2 subscribers as a big win.🔹How early feedback Josh received as a kid became a quiet spark — motivating him to improve how he explained things and ultimately shaping the teaching style millions now rely on.🔹How his method for breaking down complex topics with unique tools like his iconic BAM! help make learning lighter and less intimidating.🔹His thoughts on AI tutors, avatars, and interactive learning and how ethics, bias, and hallucinations relate to next-gen learning.This is more than a conversation about statistics, data science, AI, education, or YouTube. It’s the story of a researcher who never imagined starting a learning platform, yet became one of the most trusted teachers in statistics and machine learning—turning frustration into clarity, confusion into curiosity, and small beginnings into a massive global impact.📌 If you’ve ever struggled with PCA, logistic regression, K-means clustering, neural networks, or any tricky stats and ML concepts… chances are StatQuest made it click. Now, hear from the creator himself about what goes on behind the scenes. Now you’ll finally understand how he made it click.🔹A must-listen for: AI/ML learners, data scientists, educators, content creators, self-taught enthusiasts, and anyone who’s faced the fear of “I’m not good at explaining things.”Prepare to walk away inspired — and with a renewed belief that clarity is a superpower anyone can learn.

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• Robin Sutara on Responsible AI, Governance, Diversity, and People Behind Data

  🎙️ Future of Data and AI Podcast: Episode 06 with Robin SutaraWhat do Apache, Excel, Microsoft, and Databricks have in common? Robin Sutara!From being a technician for Apache helicopters to leading global data strategy at Microsoft and now Databricks, Robin Sutara’s journey is anything but ordinary. In this episode, she shares how enterprises are adopting AI in practical, secure, and responsible ways—without getting lost in the hype.We dive into how Databricks is evolving beyond the Lakehouse to power the next wave of enterprise AI—supporting custom models, Retrieval-Augmented Generation (RAG), and compound AI systems that balance innovation with governance, transparency, and risk management. Robin also breaks down the real challenges to AI adoption—not technical, but cultural.She explains why companies must invest in change management, empower non-technical teams, and embrace diverse perspectives to make AI truly work at scale. Her take on job evolution, bias in AI, and the human side of automation is both refreshing and deeply relevant. A sharp, insightful conversation for anyone building or scaling AI inside the enterprise—especially in regulated industries where trust and explainability matter as much as innovation.

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• Jay Alammar on RAG, AI Education, and Industry Transformation - Future of AI🎙️

  In this episode, Raja Iqbal welcomes Jay Alammar, a renowned educator, researcher, and visual storyteller in machine learning. Jay shares his fascinating journey into simplifying complex AI concepts through visual storytelling and his passion for making AI education accessible to everyone.Raja and Jay discuss the power of visual learning, the role of intuition in understanding AI, and the challenges and opportunities in enterprise AI adoption. Jay also explores how AI is reshaping industries, the importance of tools like Retrieval-Augmented Generation (RAG), and his experiences at Cohere, where he helps organizations harness the power of large language models for real-world applications.This episode is perfect for anyone curious about the evolving world of AI, practical ways to adopt AI in business, and the importance of education in driving innovation.

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• The Future of AI - What Will It Mean for Different Industries and the Job Market? | Amr Awadallah (Part 2)

  This episode features an engaging discussion between Raja Iqbal, Founder and CEO of Data Science Dojo, and Amr Awadallah, Founder and CEO of Vectara, the trusted GenAI Platform for All Builders.In this episode, Raja Iqbal sits down with Amr, a successful entrepreneur and a leader in the tech world, to talk about how technology is shaping our lives and work. They discuss how businesses can adapt to the rapid changes brought by new tools, the challenges faced by different industries, and how technology can improve our lives.Amr shares fascinating insights about how AI can help in healthcare and education, making them more accessible, especially in developing countries. He also talks about the skills our kids will need to thrive in the future and how technology is changing everything—from how we work to how we learn.This is a must-watch for anyone curious about how technology changes the world and what it means for the future!

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• Amr Awadallah's Journey from Tech Giants to Vectara: Data, Cloud Computing, AI, & Entrepreneurship (Part 1)

  This episode features an engaging discussion between Raja Iqbal, Founder and CEO of Data Science Dojo, and Amr Awadallah, Founder and CEO of Vectara, the trusted GenAI Platform for All Builders. Raja sits down with Amr Awadallah, a visionary who has played a key role in shaping the world of technology. From his early days at Microsoft to his leadership roles at VMware and Vectara, Awadallah has been a driving force behind groundbreaking innovations in data, cloud computing, and artificial intelligence.This episode is a must-watch for anyone interested in a comprehensive outlook on AI's current state and future trajectory.

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