AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Here is the full list of the enterprise tech Startup Battlefield 200 selectees, along with a note on what made us select them ...

Percona, a leader in enterprise-grade open source database software, support, and services, is launching Percona Packages, a suite of structured consulting and support offerings for enterprise IT and ...

The future of the field isn't less engineering but better engineering, where people focus on design, integrity and impact ...

The researchers developed a non-invasive visual edge module capable of automatically gathering physiological data from existing bedside monitors. Instead of requiring hospitals to replace legacy ...

When a client requests an urgent fund transfer, financial advisors need instant access to  account details and approvals, as ...

The adoption of the FAIR model was pivotal in transforming our cybersecurity strategy into a measurable, business-aligned ...

At the end of the day, the customer experience is about how well a product works. Engineers shape those impressions daily.

Agents picking clubs for their clients like a video game? Eye tests for strikers? Clubs monitoring everything about a player?

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Oregon’s chronic absenteeism data is, ironically, released too late to be of much use in the current school year. So the ...