The Joe Reis Show

In this episode, I explain how I use (and don't use) AI for writing.

Matthew Kelliher-Gibson, known as 'The Data Cynic,' is a data expert at Rudderstack and a contributor to the Data Stack Show. He shares insights on navigating the challenges of data management and skepticism in corporate cultures. Matthew critiques the inefficiencies of meetings, likening them to Dilbert cartoons, and discusses the impact of AI on workforce dynamics. He also dives into the importance of motivation in data learning and the complexities of leading data teams, emphasizing the need for patience and accountability.

My semi-regular co-host and bestie Carly Taylor joins me once again. This time we chat about the true cost of replacing engineers with AI. We explore the implications of mass layoffs, the importance of company culture, and the potential for burnout among tech workers.

Many data professionals are stressed from pressure to deliver quickly instead of taking time to think deeply. There’s a discussion on the clash between agile practices and effective data modeling, emphasizing the need for a solid foundation. The importance of distinguishing between Deep Work and Delivery Work is highlighted. Finally, the conversation encourages a balanced approach to project planning that respects both speed and depth in complex workflows, rather than forcing everything into short sprints.

John Thompson, the Global Head of AI for EY, brings 38 years of AI expertise and is the author of the upcoming book 'The Path to AGI.' He dives into the intricacies of generative AI in education, highlighting its role in enhancing critical thinking. The discussion explores historical shifts in AI, the concept of mixed model arts in data innovation, and the challenges of achieving AGI efficiently. Additionally, he reflects on the vital role of human creativity amid AI advancements and shares insights on maintaining a disciplined writing routine.

Data practitioners are grappling with a rise in technical debt and diminishing craftsmanship. The looming integration of AI could exacerbate these issues, potentially leading to a deluge of low-quality data models. Discussions explore the fallout of disposable code in AI development, warning against sacrificing quality for speed. The importance of mastering fundamental skills is emphasized to counterbalance reliance on AI tools. Lastly, the link between data modeling and community engagement highlights the need for collaboration in this evolving landscape.

Eric Broda, a Toronto-based IT expert with nearly 40 years of experience, discusses the transformative power of AI agent ecosystems. He argues that AI could signify the end of traditional consulting as we know it. Broda delves into the complexities of optimizing task execution in large language models, emphasizing the need for enterprise-grade AI agents with robust security and compliance. The conversation also touches on the evolving job landscape, highlighting the skills needed for success as AI reshapes industries and underscores the importance of personal relationships in consulting.

In this engaging conversation, Hugo Bowne-Anderson, an expert in AI and automation, dives into the exciting and complex future of technology. He critiques the balance between complex AI models and simpler alternatives, while discussing the role of prompt engineering. Hugo reflects on the ethical implications of algorithmic bias and the socio-economic challenges posed by automation. The talk also touches on the evolution of AI's understanding and its potential to align with human thinking, making it a thought-provoking listen for anyone curious about the digital future.

Ghalib Suleiman, a data expert, and Kevin Connolly, a data professional with a PhD in physics, dive into the intricacies of data team dynamics. They share their personal transitions from academia to tech, balancing intellectual curiosity with corporate goals. The duo discusses the challenges of hiring, managing, and evaluating data teams, emphasizing the importance of communication and integrity. They also explore the trend of data professionals shifting into product management, highlighting the unique challenges that come with these evolving roles.

Anne-Claire Baschet and Yoann Benoit, experts in unifying AI and product development, dive into the challenges of collaboration between AI and product teams. They explore the evolving roles due to AI advancements and emphasize the need for a common language and empathy among teams. The discussion highlights the importance of aligning user emotions with product design, focusing on real-life examples to enhance user trust. With insights on iterative development and emotional engagement, they offer practical solutions to bridge the gap in tech teams.