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.

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.

Juan Sequeda is a Principal Scientist at data.world, specializing in AI and knowledge graphs. He explores how large language models can enable broader knowledge graph adoption, offering new discovery capabilities and enhancing decision-making in businesses. Juan emphasizes that a knowledge-first approach unlocks hidden value, turning one plus one into much more. He also critiques the historical slow progress in knowledge systems and advocates for prioritizing semantics as essential for maximizing data initiatives and business efficiency.