Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Enterprise architecture works best today when it borrows start-up habits — testing fast, learning quickly and scaling what actually delivers value.

For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...

Set custom instructions, filter chosen materials, and record voice briefings to get accurate insights and polished deliverables faster.

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

Prediction analytics changes sports betting from guessing to strategizing. An activity that was solely based on the bettor's ...

Those who pair innovation with disciplined execution will be best positioned to scale AI responsibly, intelligently and with ...

Autonomous agents will soon run thousands of enterprise workflows, and only organizations with unified, trusted, context-rich ...

At an Oracle roundtable during TechSparks 2025, CTOs and tech leaders moved beyond the AI hype to confront harder truths ...