Data Management | News, how-tos, features, reviews, and videos
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.
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.
With Taikun, Cloudera expands its stack to offer consistent, cloud-native operations everywhere.
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.
Poor data sabotages AI and strategy despite significant investments. Leaders must act now to build trust and unlock true value.
Data engineers work for enterprises in various industries to help them manage and store the data they need to operate, and, increasingly, to support their AI initiatives.
With its acquisition of Dotmatics, a developer of software for managing data in life sciences research, Siemens hopes to help cut drug development costs.
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