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The ‘No More Individual Contributors’ Framework: AI Team Management in Enterprise
In episode eight of DatAInnovators & Builders Podcast, Michael Domanic, VP at UserTesting, explains how enterprises run AI teams of three to drive transformation.
Saket Saurabh
Co-founder & CEO at Nexla
95% Prompt Cache Hit Rate: How Enterprise LLM Cost Reduction Works in Production
In episode seven of DatAInnovators & Builders Podcast, 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.
How Swarm Intelligence Solves Routing and Scheduling Problems Without Training Data
In episode six of DatAInnovators & Builders Podcast, Fred Gertz explains how swarm intelligence solves NP-hard routing and scheduling problems in seconds—without training data or LLMs.
The Delegation Test for AI: Why Context Engineering Determines Model Success
In episode five of DatAInnovators & Builders Podcast, 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.
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Reasoning vs. Judgment: The Real Limit of Context Graphs
AI systems fail when context doesn’t scale. This article explains the limits of context graphs, why static relationships break for enterprise AI, and what’s needed to deliver accurate, trustworthy AI outputs at scale.
The Data Governance Gap Blocking Enterprise AI Production
In episode four of DatAInnovators & Builders Podcast, BigID’s Stephen Gatchell explains the data governance gap blocking AI production, why unstructured data breaks legacy models, and how data product frameworks enable scale.
Why Context Engineering Is Key to the Next Era of Enterprise AI
In the News: betanews.com: In this Q&A, Saket Saurabh explains why context engineering is key to reliable, compliant, and intelligent enterprise AI workflows.
BigPanda on Production-Ready AI Agents
In this third episode of DatAInnovators & Builders Podcast, BigPanda’s Alexander Page shares how his team designs AI agents that internalize corrections, evaluate tool use, and scale reliably in production.
CurieTech’s Systematic Path to Production AI Agents
In this second episode of DatAInnovators & Builders Podcast, Ashish Thusoo breaks down how CurieTech AI uses benchmarks-first discipline and AI-driven build loops to achieve 70–80% productivity gains.
The SaaS Podcast: Founder-Led Enterprise Sales with Nexla’s Co-Founder
In this episode of The SaaS Podcast, host Omer Khan talks with Nexla’s founder, Saket Saurabh, about live‑coded demos, consultative outreach, and bold moves that drove multi‑7‑figure deals.
Why AI Training Fails, And What Actually Works
In this first episode of DatAInnovators & Builders Podcast, Databricks’ Robin Sutara reveals why generic AI training doesn’t stick and how persona-based enablement drives real adoption.
Why Context Engineering Will Define the Next Era of Enterprise AI
In the News: Saket Saurabh, Nexla CEO, explains why enterprise AI’s future lies in context engineering: building the right data, memory, and workflows for smarter, more reliable AI.
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