🎙️ Future of Data and AI Podcast: Episode 08 with Emil EifremBefore graph databases were everywhere…Before knowledge graphs became essential to AI…Before LLMs, embeddings, and RAG entered the conversation…There was one simple, stubborn idea: data makes more sense when you understand the relationships.In this engaging and insightful episode, Emil Eifrem (Co-Founder & CEO | Neo4j) shares the story behind building Neo4j — the graph database platform that quietly reshaped how the world models and reasons over data. Emil takes us through the early days when graph databases felt risky, misunderstood, and years ahead of the market, and explains why connected data mirrors human thinking better than tables, rows, and columns ever could.What you’ll discover:🔹Why relationships became the foundation of Neo4j — and how treating them as first-class citizens changed everything.🔹How property graph models preserve context, making complex systems easier to reason about and analyze.🔹Unexpected ways graph databases are powering fraud detection, recommendations, cybersecurity, and enterprise knowledge.🔹Why knowledge graphs quietly became essential to modern AI — long before most people noticed.🔹How graphs and LLMs work together to ground AI systems in structure, meaning, and explainability.🔹Insights on building deep infrastructure technology with patience, conviction, and long-term vision.This is more than a conversation about AI, graphs, or databases. It’s a look at how intelligence — human or artificial — depends on connections, context, and understanding.📌 If you’ve ever wondered:- Why AI sometimes feels confident but wrong- How machines can reason instead of just predict- Why some technologies take years before the world catches up…this episode will change how you think about data, AI, and connected systems.🔹A must-listen for: data scientists, AI practitioners, knowledge graph enthusiasts, graph database users, enterprise architects, AI researchers, and anyone curious about how connected data powers modern AI.Prepare to walk away inspired.Keywords: Emil Eifrem, Neo4j, graph databases, knowledge graphs, property graph model, AI reasoning, connected data, enterprise AI, graph analytics, fraud detection AI, AI infrastructure, LLM applications, RAG, embeddings, AI explainability, building data platforms, AI strategy, human-like reasoning, data science insights, graph AI, Neo4j interview, AI podcast, Future of Data and AI PodcastFor more episodes: https://www.youtube.com/playlist?list=PL8eNk_zTBST_jMlmiokwBVfS_BqbAt0z2For highlights, check out: https://www.youtube.com/playlist?list=PL8eNk_zTBST-YYNgPcw3rO9Tvn7fEjR4AVisit our podcast page for more info: https://datasciencedojo.com/podcast/

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.

🎙️ Future of Data and AI Podcast: Episode 06 with Robin Sutara

What 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.

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.

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!

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.

This episode features the second part of an engaging discussion between Raja Iqbal, Founder and CEO of Data Science Dojo, and Bob van Luijt, Co-founder and CEO of Weaviate, a prominent open-source vector database in the industry. Raja and Bob trace the evolution of AI over the years, the current LLM landscape, and its outlook for the future. They further dive deep into various LLM concepts such as RAG, fine-tuning, challenges in enterprise adoption, vector search, context windows, the potential of SLMs, generative feedback loop, and more. Lastly, Raja and Bob explore Artificial General Intelligence (AGI) and whether it could be a reality in the near future. This episode is a must watch for anyone interested in a comprehensive outlook on the current state and future trajectory of AI.

This interview features Raja Iqbal, Founder and CEO of Data Science Dojo, engaging in a candid conversation with Bob van Luijt, Co-founder and CEO of Weaviate. Bob shares his journey, from early childhood and a fascination for tech to his entrepreneurial drive which eventually led to launching his own startup at a very young age. They also discuss the importance of standing out and continuously evolving and adapting in a highly competitive landscape, and the potential of AI in businesses.

But it's not all sunshine and robots. Bob and Raja also discuss the triumphs and tribulations of leading their own start-ups, fostering a culture that fuels sustainable growth, and the key decisions that can make or break a young company. They also explore how to impress investors and build their trust so that funding isn't a constant worry.

Packed with practical advice and valuable insights, this video is a must-watch for aspiring as well as seasoned AI entrepreneurs aiming to make their mark on the industry.

Are LLMs useful for enterprises? Well, what is the use of a large language model that is trained on trillions of tokens but knows little to nothing about your business.

To make LLMs actually useful for enterprises, it is important for them to retrieve company's data effectively. LlamaIndex has been at the forefront of providing such solutions and frameworks to augment LLMs.

In this episode, Jerry Liu, Co-founder and CEO of LlamaIndex, joins Raja Iqbal, CEO and Chief Data Scientist at Data Science Dojo, for a deep dive into the intersection of generative AI, data. and entrepreneurship.

Jerry walks us through the cutting-edge technologies reshaping the generative AI landscape such as LlamaIndex. He also explores Retrieval Augmented Generation (RAG) and fine-tuning in detail, discussing their benefits, trade-offs, use cases, and enterprise adoption, making these complex tools and topics not just easily understandable but also fascinating.

Jerry further ventures into the heart of entrepreneurship, sharing valuable lessons and insights learned along his journey, from navigating his corporate career at tech giants like Apple, Quora, Two Sigma, and Uber, to starting as a founder in the data and AI landscape.

Amidst the excitement of innovation, Raja and Jerry also address the potential risks and considerations with generative AI. They raise thought-provoking questions about its impact on society, for instance, whether we're trading critical thinking for convenience.

Whether you're a generative AI enthusiast, seasoned entrepreneur, or simply curious about the future, this podcast promises plenty of knowledge and insights for you.