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.

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?

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.

Joe Reis, known for his engaging discussions on technology trends, and Matt Housley, who offers insights into tech topics, dive into the current tech landscape. They tackle the recent downturn and dissect the AI hype bubble, sharing candid thoughts and predictions. Additionally, they discuss the challenges and importance of crafting quality content in data engineering education, emphasizing personal experiences in project management and the value of well-structured learning resources.

Data engineer specializing in generative AI, Joe Reis, discusses the role of a data engineer, AI hype cycle, ethical considerations around AI-generated content, tension between AI and traditional engineering, and the inevitability of AI integration into everything. They also explore build vs buy, disconnect between data analysts and the business, and the importance of focus and staying on track in large organizations. Additionally, they delve into the future of the internet, empowering underrepresented voices with generative AI, and the tension between AI and manual processes.

Joe Reis, co-author of the bestselling O'Reilly book, 'Fundamentals of Data Engineering', discusses the importance of understanding and managing data engineers effectively. They also talk about the challenges and strategies for bridging the gap between development and data teams, as well as the future of models in data engineering and the significance of having a clear data strategy.

Join Joe Reis and Matt Housley as they chat with Jon Krohn about data engineering basics, distinctions between data scientists and engineers, tools, top techniques, undercurrents in the data engineering lifecycle, trade-offs in data pipelines, and favorite data engineering tools and techniques.