Introducing 
Express — Go from prompt to pipeline in minutes.
Explore DatAInnovators & Builders, our flagship podcast for data and AI leaders seeking real answers, not theories. Nexla CEO Saket Saurabh sits down with CDOs to unpack the messy reality behind AI initiatives.
Michael Domanic, VP at UserTesting, explains how enterprises run AI teams of three to drive transformation and measurable ROI.
Rowan Trollope, CEO of Redis, explains how teams hit 95% cache and cut LLM costs 70% using agent memory, semantic layers, and production-grade AI infrastructure.
Fred Gertz of Collide Technologies explains how swarm intelligence solves NP-hard routing and scheduling problems in seconds, without training data or LLMs.
GrowthX founder Marcel Santilli explains the delegation test for AI and why poor context, not weak models, is the real reason AI initiatives fail to scale.
Ortecha’s Stephen Gatchell explains the data governance gap blocking AI production, why unstructured data breaks legacy models, and how data product frameworks enable scale.
BigPanda’s Alexander Page shares how his team designs AI agents that internalize corrections, evaluate tool use, and scale reliably in production.
Ashish Thusoo breaks down how CurieTech AI uses benchmarks-first discipline and AI-driven build loops to achieve 70–80% productivity gains.
Databricks’ Robin Sutara reveals why generic AI training doesn’t stick and how persona-based enablement drives real adoption.
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 550+ 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.
