This week on The Data Stack Show, the tables turn as Eric takes the guest seat! Eric shares his unexpected career journey—from aspiring doctor to business and data enthusiast—shaped by an early passion for mechanics. He reflects on navigating the 2008 economic downturn while working at a marketing agency, sharpening his adaptability and networking skills. The conversation dives into working with startups and venture-backed companies, the power of understanding customer pain points, and the value of hands-on product experience. Packed with insights on data and product management, this episode is a must-listen for anyone looking to blend strategy, adaptability, and a customer-first mindset.

This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The three go through their hot-takes lightning round as they discuss the challenges faced by data teams, focusing on technical debt and the concept of data mesh. They critique the illusion of productivity in data teams, the pitfalls of complex SQL queries, and the difficulties of implementing data mesh in organizations. The conversation emphasizes the importance of clarity, governance, and practical strategies in managing data while also exploring the potential of AI to optimize SQL queries and reduce technical debt, highlighting the need for balanced human oversight. Stay cynical! 

This week on The Data Stack Show, Eric and John welcome Misha Laskin, Co-Founder and CEO of ReflectionAI. Misha shares his journey from theoretical physics to AI, detailing his experiences at DeepMind. The discussion covers the development of AI technologies, the concepts of artificial general intelligence (AGI) and superhuman intelligence, and their implications for knowledge work. Misha emphasizes the importance of robust evaluation frameworks and the potential of AI to augment human capabilities. The conversation also touches on autonomous coding, geofencing in AI tasks, the future of human-AI collaboration, and more. 

This week on The Data Stack Show, Eric and John welcome back Lewis Dawson from Momentum Consulting for the third part of this conversation on data attribution. In this episode, the group talks about the intricacies of machine learning (ML) and its business applications, particularly focusing on customer lifetime value (CLV) prediction. They discuss the challenges of implementing ML models, emphasizing the necessity of having the right data and team. The conversation highlights the importance of simplicity in modeling and understanding the limitations of data-driven approaches. They also explore the concept of diminishing returns in marketing channels and the potential of AI in optimizing advertising strategies, while acknowledging the complexities involved.

This week on The Data Stack Show, Eric and John welcome back Lewis Dawson from Momentum Consulting as the group delves into the complexities of data attribution. They discuss the limitations of traditional UTM parameters and the advantages of using hashing methodologies to enhance data quality and attribution accuracy in marketing campaigns. The conversation highlights the importance of stable identifiers, the integration of dynamic parameters from advertising platforms, and best practices for managing metadata in data systems. They also explore various attribution models, including first touch, last touch, and multi-touch, and discuss the challenges of identity resolution and maintaining data integrity across different platforms. Don’t miss this great conversation.