BigPanda on Production-Ready AI Agents
In this second episode of DatAInnovators & Builders, BigPanda’s Alexander Page shares how his team designs AI agents that internalize corrections, evaluate tool use, and scale reliably in production.

Get ready for an event that brings together industry experts, thought leaders, CDOs, CIOs, analytics & business intelligence leaders, and other data professionals for 3 days of networking and insightful sessions.
Stop by Nexla’s booth #821 and learn why Nexla had 6 Gartner mentions (Market Guide for Event Stream Processing, Market Guide for Active Metadata Management, Market Guide for DataOps Tools, Hype Cycle™ for Data Management, Magic Quadrant™ for Data Integration Tools, and the highest rating two years running in 2023 Gartner Peer Insights™ Voice of the Customer for Data Integration Tools. Nexla is continuing to disrupt the way modern businesses play with data.
Join our session on Wednesday, March 22, 2:30 – 3pm EST (Swan Ballroom 6, WDW Swan Hotel) to hear from successful data leaders discuss how they are easily creating and using data products to reduce data engineering overhead and support future growth.
At our booth #821, you will:
In this session Vasanth Thirugnanam, Data Science Leader from Johnson & Johnson, and Mansoor Basha, CTO of Stagwell, joins us to discuss how they leverage data fabric to power data products. We will discuss:
NOTE: The session will be moderated by Bruno Aziza, one of the most well-known commentators in the data ecosystem.
If you haven’t registered to #Gartner Data and Analytics, then get your ticket https://lnkd.in/ginui74b
In this second episode of DatAInnovators & Builders, BigPanda’s Alexander Page shares how his team designs AI agents that internalize corrections, evaluate tool use, and scale reliably in production.
While it is true that AI offers enormous opportunities for innovation and success, its reliance on personal data raises urgent concerns about privacy, ethics, and governance
In this second episode of DatAInnovators & Builders, Ashish Thusoo breaks down how CurieTech AI uses benchmarks-first discipline and AI-driven build loops to achieve 70–80% productivity gains.