DatAInnovators & Builders

By Nexla

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Category: Technology

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Episodes: 18

Description

DatAInnovators & Builders features Chief Data Officers and data leaders sharing real strategies for conquering data complexity and building AI solutions that work. Host Saket Saurabh, CEO of Nexla, delivers practical insights on tackling data variety, moving AI from pilot to production, and making transformation actually happen.


Episode Date
Why most enterprise data isn't actually big data
Jul 28, 2026
Why most organizations are solving the wrong data problem for AI
Jul 14, 2026
Why a data catalog isn't ready for AI agents without a semantic layer
Jun 30, 2026
Agent management: how do you govern AI you didn't build
Jun 16, 2026
Why fixing your data beats building an AI lab?
Jun 02, 2026
Look before you merge: catching downstream impact before it breaks production
May 19, 2026
How a healthcare startup migrated from Azure to GCP and kept production running
May 05, 2026
The language mistake data leaders make when presenting to executives
Apr 21, 2026
Context Is the Differentiator, Not the Model
Apr 07, 2026
15 AI Agents and Nothing to Show for It
Mar 24, 2026
The 'no more individual contributors' framework: Managing a team of 3 with AI
Mar 10, 2026
95% prompt cache hit rate: how LLM cost reduction actually works in production
Feb 24, 2026
How swarm intelligence solves routing problems in 20 seconds without training data
Feb 10, 2026
The delegation test for AI: If an intern can't succeed with your context, neither will your model
Jan 27, 2026
Ortecha's Stephen Gatchell On The Data Governance Gap That's Blocking Your AI Production Deployment
Jan 13, 2026
Bigpanda's Alexander Page On Building AI Agents That Internalize Corrections
Dec 23, 2025
"AI build, Human verify, AI refine”: How CurieTech flipped the IT engineering workflow, with Ashish Thusoo
Dec 09, 2025
Databricks' Robin Sutara On Why AI Training Fails - And Persona-Based Enablement That Works
Nov 25, 2025