Data Management | News, how-tos, features, reviews, and videos
Facing an existential crisis, enterprise architecture must abandon outdated dogma for AI-driven adaptive governance to ensure survival and deliver value.
Data's value is lost in corporate verbal anarchy due to clashing team “languages.” Smart communication strategies bridge these critical gaps.
Many organizations need AI and data leaders for now, but as the expertise becomes pervasive across the enterprise, a C-suite leader may no longer be needed.
For AI developers and industry leaders, effectively leveraging public data can be the difference between breakthrough innovation and costly underperformance.
Why data dysfunction is derailing AI ambitions
At Knowledge 2025, ServiceNow debuted its Workflow Data Network ecosystem of partners to support workflow automation with AI. It also introduced a slate of new agents to assist autonomous IT.
In this interview with IDC's Marlanna Bozicevich, we learn about how organizations need to prioritize data management to take advantage of AI as a transformative platform. We also hit on how AI can support data management.
The Swedish industrial manufacturer is helping technicians troubleshoot equipment issues with its AI Factory Companion, powered by Azure OpenAI.
Enterprise data can be a hidden treasure trove. Here’s how to safely monetize it by zeroing in on actionable value and guarding against common risks.
By moving to the cloud, the primary passenger train operator in Sweden is modernizing its booking system, optimizing operational planning strategies, and streamlining the way information is gathered.
AI has made businesses hyper-focused on their data, but the rush for more data is a distraction from the equally important work of creating and maintaining quality data.
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