The Joe Reis Show

In this engaging conversation, Tyler Akidau, a seasoned streaming systems engineer and CTO at Red Panda Data, unveils the transformative impact of AI on data infrastructures. Tyler shares his journey from AI skepticism to excitement, discussing how agentic AI systems will reshape business operations. They dive into the reimagining of data architectures for machine-speed AI, the need for rigorous auditing, and the shift from windowing to a table-based approach. Tyler also explores governance challenges and the chaotic nature of AI agents using a clever D&D analogy.

The discussion kicks off with Joe Reis sharing travel updates and setting the stage for AI exploration. He highlights Europe's conservative stance on AI compared to the US and China. Emphasizing the importance of acting now, he advocates for businesses to adopt AI aggressively during this innovation wave. Joe illustrates how an AI-native workforce can revolutionize operations and reflects on the role of bubbles in driving innovation. He encourages cautious sectors, like banking, to embrace AI's potential for transformation.

Irina Malkova, VP of Data & AI at Salesforce, leads the charge in rethinking how we interact with data. She explores the decline of traditional dashboards in favor of AI-driven conversational agents, enhancing user engagement by reducing cognitive load. Irina discusses the evolving role of product telemetry as a key resource for AI and machine learning, emphasizing its value across all companies. With a focus on measurable ROI, she argues that data teams are pivotal in leading AI transformation, paving the way for more practical data infrastructure.

Matt Housley, a seasoned data industry practitioner, dives deep into the buzz surrounding Fivetran's rumored acquisition of dbt Labs. He highlights the need for consolidation in the modern data stack amidst shifting financial pressures and the rise of AI-native startups. The discussion reveals how mergers can drive efficiency and cash flow, while they also tackle the challenges of integrating new tech. Additionally, they explore the implications of AI on traditional vendor models and discuss the evolving landscape of database technologies.

Saket Saurabh, CEO of Nexla and a force in data engineering, delves into the transformative shift in AI from model-focused companies to those leveraging unique contextual data. He discusses the looming limits of current AI models, the vital role of knowledge graphs for reliable AI outputs, and how tools like Lovable and Cursor are redefining workflows for developers. The conversation also highlights the evolving landscape of data engineering, where AI is now a primary consumer, necessitating new approaches to architecture and semantics.

In this engaging discussion, Ole Olesen-Bagneux, author and knowledge architect, dives into his new book on metadata management. He uniquely conceptualizes metadata as existing in two places at once, illuminating its complex nature. Ole introduces the 'MetaGrid,' emphasizing the importance of integrating existing metadata repositories rather than constructing new systems. Their conversation also explores the impacts of AI, the sociological barriers to effective metadata projects, and the contrasts between data engineering and library science in today's organizations.

AI is transforming the workplace in surprising ways, from automating mundane tasks to enabling non-technical people to prototype innovative solutions. Examples like a climbing timer created with ChatGPT illustrate this shift. The discussion emphasizes the importance of understanding when to code versus leveraging language models, alongside cautionary notes on security. Joe encourages listeners to step outside their comfort zones to evolve their roles and adapt to these changes.

Join Remco Broekmans, a BI and data routing expert, and Marco Wobben, an information modeling specialist, as they dissect why data projects often fail. They argue it’s not about the tech, but the crucial need for effective communication and understanding of business needs. Discover the striking case of the Dutch Railroad's 18-year information program, illustrating the differences in project mindsets between Europe and the U.S. They also explore AI’s role, suggesting it should assist rather than replace human insight in data-driven endeavors.

The dynamic between givers and takers takes center stage, exploring how mutual benefit boosts interactions. Personal stories from networking events underscore the need for clear communication and genuine connections. Generosity is likened to Pac-Man, with a call to create engaging content and provide free resources. The value of meaningful relationships over transactional ones shines through, paired with exciting news about upcoming travels and a new weekend newsletter. A light-hearted approach to socializing adds an entertaining touch to the discussion.

Wendy Turner-Williams, a distinguished tech executive with roots at Microsoft and Salesforce, explores the impact of AI on the workforce. She shares her experiences breaking barriers as a woman in tech while reflecting on her roles in groundbreaking projects like Azure Data Factory. Wendy warns of a looming crisis as AI rapidly disrupts job security and the economy, urging leaders to consider ethical implications and the importance of reskilling. Her insights ignite a vital conversation about the future of work in the age of technology.