There is a widening gap between the sophistication of manufacturing data models and the reality of the production line.

Enterprise data stacks were built for humans running scheduled queries. As AI agents increasingly act autonomously on behalf of businesses around the clock, that architecture is breaking down — and ...

Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress ...

Kumo, a leader in predictive AI, today announced its launch of KumoRFM-2, the first foundation model to outperform fully supervised machine learning on enterprise relational data. Built by the team ...

Morgan Stanley analysts are pushing back on the software sector’s reaction to the rise of managed AI agents, arguing that the selloff in cloud infrastructure stocks misreads how the technology ...

Explore the best data analytics tools for enterprises in 2026 that harness AI and advanced analytics to improve data-driven decision-making. Uncover key features, pricing, and ideal use cases to boost ...

Tech executives explain how they're moving beyond legacy Excel mapping to build AI data pipelines that cut integration ...

For investors tracking Snowflake (NYSE: SNOW), the 2026 market has presented a puzzle. Snowflake's stock price has faced considerable downward pressure, registering a significant decline since the ...

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. Perplexity Computer can understand a goal, move across tools, and keep ...

As enterprises ramp up their adoption of cloud and AI technologies, managing costs has become a growing challenge. Data platform spend is now one of the fastest-growing components of cloud expenditure ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...