The Data Stack Show

Rudderstack
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Oct 14, 2024 • 2min

The PRQL: Navigating the Data World with Angelica 'Jelly' Spratley: Career Transitions, AI Insights, and Industry-Ready Skills

Explore the remarkable career journey of a former engineering teacher turned senior data science instructor. Delve into the vital role education plays in launching data careers. Discover insights from a fascinating Disney and Data AI conference. Gain valuable knowledge about industry-ready skills and the latest trends in AI. This discussion not only inspires but also equips you with the essential tools for navigating the data landscape.
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10 snips
Oct 9, 2024 • 1h 6min

210: From Reporting Basics to AI Automation with Eric Dodds and John Wessel: Navigating the Complexities of Data Standardization, Observability, and Business Alignment

The discussion kicks off with the evolving landscape of reporting and analytics, stressing their ongoing relevance in business. Key topics include the complexities of data standardization and the distinction between static reports and dynamic analytics. The conversation touches on automation's role in reporting, the challenges of data quality, and the impact of industry regulations. Moreover, the importance of observability in analytics is highlighted, along with the balance between tribal knowledge and data-driven decision-making.
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Oct 7, 2024 • 4min

The PRQL: Back to the Basics: The Importance of Solid Reporting and Analytics

The discussion highlights the rising significance of reporting and analytics in today's evolving data landscape, especially after recent extreme weather events. The shift in job titles from traditional roles to technical positions like data engineer is noted, emphasizing how crucial reporting is for business operations. Additionally, the intricacies of roles in business reporting are examined, alongside challenges in defining these positions and the potential for automation while stressing the importance of communication between data and business teams.
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Oct 2, 2024 • 31min

209: Storytime with Cynical Data Guy: Data Projects, $50K Web Scraping Fails, and the Role of CDOs

In this engaging discussion, the hosts share their most memorable data project experiences, blending humor with insightful storytelling. They dive into a web scraping failure, emphasizing the importance of foundational processes. A look at the evolving role of Chief Data Officers reveals the challenges of aligning data strategies with business goals. The conversation also touches on disaster recovery strategies and the balance between advanced and simple data solutions, offering practical lessons for navigating the complex data landscape.
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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!
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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.
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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.
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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.
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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.
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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!

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