Modern cloud-based systems eliminate the expensive, recurring overhead of fragmented data and silos—which means AI capabilities are being embedded into the existing solution set. According to a ...

The global data management market, valued at $89.34 billion in 2022, highlighted the challenges businesses face in this area. Machine learning models were trained in limited environments, with ...

Data gaps and access challenges hinder student support. Only 37 percent of educators surveyed feel they have all the necessary information to address student needs; ... (32 percent), and fragmented ...

However, because of fragmented data, achieving that level of personalization is often easier said than done. Now, the Data Cloud is opening up new opportunities for marketers by allowing them to ...

The enhancements allow organizations to retire fragmented data loss prevention (DLP) systems and adopt real-time, unified protection through CrowdStrike's single cybersecurity platform.

“Instead of being held back by outdated processes and fragmented data, fileAI gives them the tools to access, structure, and act on critical information to drive successful business outcomes.” ...

Confluent's latest Flink capabilities attempt to address what Shaun Clowes describes as the fundamental paradox of AI agents - they're intelligent but "dumb as rocks" without real-time, reliable data ...

You can't even get access to this stuff, and when organizations are just acting with disconnected systems, then you get data trapped in silos, and it kind of tumbles from there. So for me, it's 'Get a ...