Joe Reis and Matt Housley discuss the demise of the Modern Data Stack, architectural trade-offs, AI applications, data democratization, and caution against blind trend-chasing in tech. They also share excitement for future events and guests.

Data professionals Matt Housley, Chris Tabb, and Joe Reis chat about career advice in the evolving data job market. They discuss remote work challenges, important skill sets for data scientists, proactive job search strategies, in-person collaboration, and the importance of self-motivation in data careers. They also explore ways to improve the value of IT and data teams by adopting a sales or marketing mentality, showcasing data capabilities, and emphasizing the importance of certifications.

In a lively conversation, guest Joe Reis, a best-selling author and data modeling expert, delves into modern data approaches that break away from traditional tabular models. He shares insights on the shortcomings of relational models and the impact of AI on hiring practices. Joe also highlights the pressing need for practical data education that aligns with industry demands. Expect a humorous touch as he discusses innovative projects and the importance of adaptability in the rapidly evolving tech landscape.

In this engaging interview, Joe Reis, co-author of 'Fundamentals of Data Engineering,' shares his wealth of knowledge in the data engineering space. He discusses the vital role data engineers play in organizations and contrasts it with roles in data science. Joe dives into the dangers of chasing trendy technologies, the importance of mastering foundational principles, and the complexities of data governance in today’s AI-driven world. Listeners will appreciate his insights into resource constraints and the nuances of managing data integrity across various platforms.

Ben Taylor, CEO of VEOX Inc., Joe Reis, co-founder of Ternary Data, and Juan Sequeda, Principal Scientist at Data.World, discuss the evolution of AI from prompt engineering to goal engineering. They explore whether generative AI is more akin to an electrifying revolution or a blockchain phase. The panel highlights the importance of tackling the POC-to-production gap, understanding AI's failure modes, and balancing executive enthusiasm with employee workload. They also examine how AI's combinatorial abilities can redefine strategies, paralleling the success of AlphaZero in gaming.

Matt Housley and Joe Reis discuss the current state of generative AI and its potential disruptiveness, challenges of data quality and answer consistency, exploration of directed acyclic graphs (DAGs) in data engineering, limitations and challenges of cron jobs, the potential of students driving innovation, strategies for exam preparation, and upcoming events and podcasts.

In this engaging discussion, Sol Rashidi, a recognized AI visionary, teams up with Joe Reis, a data expert and CEO. They dive into the evolution of AI, emphasizing practical integration strategies for businesses. The conversation covers the nuances of open-source versus managed services, along with the costs involved in AI product development. Rashidi shares insights from her book, advocating for hands-on learning, and both guests reflect on their writing journeys, revealing unexpected reader feedback.

Debate between big and small data in 2023. Exploration of AI and ML, massive LLMs vs. small data alternatives. Will Big Data reign supreme or will small data become more popular?

Cindi Howson hosts a captivating discussion with Matt Turck, a Partner at FirstMark Capital, Steve Nouri, CEO of GenAI Works, and Joe Reis, data engineering expert and author. They delve into the generative AI revolution, highlighting its impact and opportunities for businesses. Ethical considerations and future data science roles take center stage with Steve's insights. Joe emphasizes the necessity of upskilling in data teams and the evolution of data architecture. They even venture into playful predictions about sports, including Kylian Mbappé's record-breaking potential!

In this discussion, Chad Sanderson, CEO of Gable, Joe Reis, CEO of Ternary Data, and Maria Zhang, CEO of Proactive AI Lab Inc, delve into the crucial link between data quality and AI performance. They highlight real-world challenges organizations face, emphasizing the need for structured data management. The panel discusses pitfalls in AI implementations, the role of metadata, and the importance of holistic ownership and collaboration in enhancing data quality. Listeners gain insights on improving data pipelines with effective strategies and tools.