Why a Data Catalog Isn’t Ready for AI Agents Without a Semantic Layer
Dave Shuman of Precisely explains why AI agents need semantic layers, trusted data products, and active governance to succeed in production.
Explore DatAInnovators & Builders, Nexla’s flagship data and AI podcast, plus conversations featuring our team across leading data integration, AI, and enterprise technology podcasts, covering real-world AI adoption and agent-ready intelligence.
Dave Shuman of Precisely explains why AI agents need semantic layers, trusted data products, and active governance to succeed in production.
Saket Saurabh, co-founder and CEO of Nexla, joins theCUBE’s John Furrier to discuss how conversational AI is closing the enterprise data connectivity gap and accelerating the path from agent concept to production.
Conor Jensen of Dataiku discusses AI governance, agent management, data products, and why successful AI programs focus on proven business outcomes.
Santiago Guillotti of Chubb LATAM explains why fixing data beats AI labs and how GenBI drives enterprise transformation and efficiency.
Watch Dori Wilson discuss data validation gaps, AI driven review systems, and how to prevent downstream issues before they reach production.
A healthcare XR startup migrated from Azure to GCP with no production downtime while scaling a behavioral analytics platform for mental health care.
Christine Pierce, former Nielsen executive and advisor, explains why most enterprise AI deployments fail before technology is the problem.
Francois Lopitaux, SVP of Product Management at ThoughtSpot, explains why context, not models, is the key to trusted, scalable AI and analytics.
No vendor pitches. No polished panels that skip the hard parts. DatAInnovators & Builders features CDOs, CTOs, and data architects sharing real architecture decisions and hard-won lessons — honest conversations from leaders who’ve actually shipped AI and data solutions at enterprise scale.
Real enterprise challenges: moving AI from pilot to production, managing data variety across 1,000+ systems, simplifying bloated data stacks, and building effective teams without endless hiring. Topics include RAG vs. fine-tuning for production agents and the process-level reasons most AI adoption stalls before it scales.
Season one features Robin Sutara of Databricks, Ashish Thusoo of CurieTech AI, Alexander Page of BigPanda, and Stephen Gatchell of BigID — CDOs, CTOs, and AI leaders sharing firsthand experience tackling enterprise data and AI challenges at scale.
Guests share the specific decisions, integration strategies, and structural changes that moved their AI initiatives from proof-of-concept to production. Each episode breaks down why projects stall — usually at the process level — and exactly what leaders did to break through.
New episodes drop every two weeks on Apple Podcasts, Spotify, and YouTube. Full video episodes are available on the Nexla YouTube channel. Data leaders with real-world lessons to share can also reach out to be considered as a guest.
DatAInnovators & Builders is produced by Nexla, an enterprise, AI-powered data integration platform that unlocks data from any source and transforms it into production-ready data products for AI and agents — supporting 700+ connectors, ELT, ETL, streaming, APIs, and agentic RAG. Host Saket Saurabh, Nexla’s Co-founder and CEO, brings firsthand experience solving the challenges discussed on the show.