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, an expert in consulting, data, and AI, shares his insights on navigating career transitions amid the evolving job market. The conversation dives into the influence of Generative AI on industries and the importance of data quality. Housley highlights the challenges of consulting and entrepreneurship, offering advice on strategic communication and personal branding. The duo also discusses AI's dual impact on coding and the music landscape, emphasizing the need for fundamental skills and authenticity in the face of technological advancements.

Tony Baer, an industry veteran with a sharp focus on data dynamics, joins data expert Matt Housley and knowledge graph enthusiast Juan Sequeda. They share insights from Data Day Texas, highlighting the charm of grassroots conferences where meaningful conversations thrive. They discuss the shift from big data to AI, the rise of knowledge engineers, and the critical role of context in data usage. The trio dives into the complexities of AI governance and the importance of interdisciplinary collaboration, emphasizing the need for improved data practices in an evolving landscape.

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.