

The Data Stack Show
Rudderstack
Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
Episodes
Mentioned books

Sep 30, 2024 • 1min
The PRQL: Data Projects Gone Wrong
Explore the spooky side of data projects gone wrong! The discussion features tales of missteps in data infrastructure and the lessons learned. From technical blunders to communication breakdowns, guests share their candid experiences. Get ready for a Halloween twist as they preview an exciting lightning round, mixing humor and insights. It's a captivating blend of data drama and valuable takeaways!

Sep 25, 2024 • 44min
208: The Intersection of AI Safety and Innovation: Insights from Soheil Koushan on LLMs, Vision, and Responsible AI Development
Soheil Koushan, an AI expert with a strong background in safety and innovation, delves into the fascinating world of artificial intelligence. He shares insights on Anthropic's safety philosophy and the challenges of balancing research with product development. The conversation highlights the evolution of computer vision and large language models, practical applications of LLMs, and the importance of effective prompting techniques. Koushan also discusses the future of AI interfaces and the transformative potential of multimodal innovations in shaping user experiences.

Sep 23, 2024 • 2min
The PRQL: Balancing Safety and Innovation for AI with Soheil Koushan of Anthropic
Soheil Koushan, an AI safety and innovation expert from Anthropic, dives into the critical balance between fostering innovation and ensuring safety in AI development. He shares insights on the latest AI advancements, the importance of ethical considerations, and common pitfalls that companies face. Soheil also discusses the implications of large language models and the future of self-driving technology. His vision for responsible AI practices sparks a thought-provoking dialogue on how to navigate this ever-evolving landscape.

Sep 18, 2024 • 27min
207: Why Niche Data Tools Fail, Broken Hiring Processes, and the GUI vs. Command Line Showdown with The Cynical Data Guy
This week features The Cynical Data Guy, a sharp commentator on data challenges, diving into the pitfalls of niche data tools and the convoluted hiring processes in the industry. He critiques lengthy interview methods and the ambiguity of job roles for data scientists and analysts. The conversation also touches on investment strategies in data quality and the impact of job titles on career paths. With humor, he highlights the need for clear hiring practices and strong team fit to navigate the fast-evolving data landscape.

Sep 16, 2024 • 2min
The PRQL: Open Source Data Tools: Buying or Selling?
Explore the intriguing world of open-source data tools and how they shape the buying and selling landscape. The discussion dives into critical insights from experts, highlighting humorous interactions and thought-provoking challenges. Join the hosts as they reveal exciting topics that promise valuable takeaways for anyone navigating the enterprise data realm.

16 snips
Sep 11, 2024 • 48min
206: Reviving Old-School Customer Experiences Through Modern Data Strategies, Featuring Edward Chenard, Seasoned Data Leader and Analytics Officer
Edward Chenard, a seasoned data leader and analytics officer, dives into the fascinating intersection of data and customer experience. He shares his journey in data leadership and the importance of P&L ownership for data leaders. The discussion unveils the challenges of implementing data-driven strategies at Best Buy, emphasizing personalization and customer engagement. Chenard also explores the nuances of AI in data teams versus traditional software engineering, highlighting the need for adaptive problem-solving. His insights on geographic influence in consumer behavior are equally enlightening!

Sep 9, 2024 • 2min
The PRQL: Modern Data, Old-School Customer Focus: A Winning Strategy with Edward Chenard
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Sep 4, 2024 • 49min
205: How to make LLMs Boring (Predictable, Reliable, and Safe), Featuring Nicolay Gerold
Nicolay Gerold, an expert in artificial intelligence, shares his journey in developing large language models (LLMs) while discussing the challenges of generating reliable outputs. He emphasizes the importance of data quality over model adjustments, addressing the barriers to effective LLM use. The conversation also highlights the need for human oversight in AI applications, especially regarding security and customer interactions. Nicolay delves into monitoring, testing challenges, and the evolving landscape of AI startups, offering insights into making LLMs more predictable and reliable.

Sep 2, 2024 • 2min
The PRQL: What are LLMs Actually Good At? Featuring Nicolay Gerold
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

5 snips
Aug 28, 2024 • 54min
204: Will a Duck DB-Like Excel Emerge by 2075? And Is Data Every Company’s Most Valuable Asset? Featuring Benn Stancil of Mode
Benn Stancil, an expert in data and strategy with experience at Microsoft and startups, discusses the evolution of data management and the future of Excel. He reflects on navigating uncertainty in startups and the critical role of intuition in decision-making. Benn highlights the need for product focus amidst industry noise and explores the potential of AI in data analysis. He imagines a future where tools evolve beyond traditional frameworks, emphasizing the importance of understanding business needs to drive effective decision-making.