What are we hearing at talks and in the hallways at Gartner Data and Analytics 2024? AI is not only the cool kid, Metadata is everywhere. Join us to learn about the latest takeaways from the conference.

Amy works at the cross-section of arguably the most important thing to a business: aligning data strategy with corporate vision. How do you ACTUALLY use data to achieve business goals, and how do you know if you're going in the right direction? Amy stops by to discuss.

You can’t lift and shift your traditional data governance practices to AI governance. AI's unique quirks bring unique governance requirements: understanding its limitations, ensuring fairness, protecting personal and intellectual property rights, and tailoring accuracy to specific use cases.

If you really want to win, you need to take some risks and be the first with something new. But how do you minimize risk? Eva Nahari, Principal at DNX ventures, talks to us about the current genAI investment environment.

Paco Nathan, a bridging innovation and open source expert, discusses the impact of open source in the real world. They also delve into topics like knowledge graphs, clean data, MLOps, and staying informed on security and AI trends.

Jessica Talisman, information architect at Amazon, talks about the importance of information architecture in AI. They discuss the role of information architecture in organizing and managing information, understanding AI models, and the significance of context. They also highlight the importance of controlled vocabulary, hierarchy, and knowledge graphs in information architecture for successful AI.

Santona Tuli, head of data at Upsolver and a specialist in data culture, shares her insights on defining roles in the data field. She dives into the distinction between productivity and performance, emphasizing purposeful goal alignment. Tuli critiques the current stagnation in data management, urging a focus on outcomes rather than mere outputs. She also discusses innovative practices in data architecture and the evolving landscape of data warehousing, highlighting the importance of collaboration and curiosity in driving impactful results.

Samia Rahman is the Director of Enterprise Data Strategy and Governance at Seagen. She's a data mesh expert, and she's here to tell us why data mesh often gets mesh-understood. Also - we discuss knowledge graphs, prompt engineering, and whether AI and data governance should be separate.

Jeremiah Owyang is a general partner at Blitzscaling Ventures. His career arc has spanned web, sharing economy, and autonomous/AI technologies. He believes that AI is going to help humanity accomplish many of the big challenges we have for society, from health to learning to work and more. But the way we communicate and measure work will change - radically. What does our AI-future look like? He stops by to discuss.

2023 is coming to a close and so is our season 6 with 20 episodes. Join Tim and Juan where they will provide the takeaway of takeaways for all the episodes of season 6. We will be back in January 2024 and kick off Season 7.