Data Management | News, how-tos, features, reviews, and videos
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.
Insurers can ditch costly legacy silos for a Delta Lakehouse, unifying data to power AI, enhance efficiency and drive future growth.
Agentic AI is poised to transform business processes at a scale and pace never seen before. But are enterprises prepared to deal with the risks agentic systems pose?
CIOs and other C-level execs believe their orgs’ data is primed for AI, but VPs closer to the IT pipelines see bad data being used to make key business decisions — a blind spot CIOs must rectify.
With Taikun, Cloudera expands its stack to offer consistent, cloud-native operations everywhere.
Forget simple IT bridges; today's architects command the complex nexus where business strategy, tech innovation and ecosystem survival converge.
Mike Clifton, CIO turned CEO of the global customer solutions business, offers advice to CIOs on how to get started with AI.
To use AI effectively, businesses need strong governance processes, people-centered priorities, and easy access to learning and development.
Data gravity, the Silk Road's modern-day digital ghost, shapes cloud costs. Manage its pull or pay the tolls of vendor lock-in.
Agentic AI might have the possibility to transform how enterprises innovate with data, but connecting disparate data sources with LLMs is a roadblock to innovation. Model context protocol (MCP) has the potential to change that.
Gut feel beats BI dashboards? Untrusted data cripples AI's promise. Governance is key to unlocking AI's true potential and competitive edge.
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