Why AI Training Fails, And What Actually Works
In this first episode of DatAInnovators & Builders, Databricks’ Robin Sutara reveals why generic AI training doesn’t stick and how persona-based enablement drives real adoption.
In this first episode of DatAInnovators & Builders, Databricks’ Robin Sutara reveals why generic AI training doesn’t stick and how persona-based enablement drives real adoption.
In the News: InfoQ recently featured Nexla Express in a detailed article on conversational AI for data engineering. The piece highlights how Express enables users to create AI-ready pipelines using plain language.
Nexla brings 500+ pre-built data connectors to Microsoft 365 Copilot, enabling organizations to easily integrate internal and third-party data for smarter AI workflows.
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.
In this episode of Software Engineering Radio, listen how the Model Context Protocol is transforming AI system architecture, and empowering developers with agentic workflows
Nexla, the leading integration platform for AI applications, today announced the launch of Express, a conversational data engineering platform that makes it simple for anyone to work with data.
In the News: Watch Nexla CEO Saket Saurabh analyze the Fivetran-dbt Labs merger with John Furrier on theCUBE + NYSE Wired, exploring its strategic impact on the evolving data ecosystem.
In the News: Saket Saurabh sits down with Joe Reis to discuss why context, not models, defines competitive advantage in AI and how enterprises must rethink data strategy.
In the News: In this episode of theCUBE + NYSE Wired Mixture of Experts series, Nexla Co-Founder & CEO Saket Saurabh joins host John Furrier to discuss the future of AI and data. From innovations in context engineering to the rise of AI factories, Saket shares insights on the challenges and opportunities shaping enterprise AI today.
In the News: Nexla is featured on DBTA Big Data Quarterly’s 2025 “Big Data 75,” recognized among the innovators driving progress in data collection, storage, and analytics.
Most data teams waste time fixing brittle pipelines instead of driving insights. See how AI-powered transformation and Nexla’s Common Data Model cut manual work and ensure scalable pipelines.
In the News: Forbes recognizes how Nexla defines and enables automated data mapping—matching data fields across systems to reduce errors and fragmentation. By applying AI and machine learning to integration, Nexla helps make financial data flows more accurate and resilient.