Why the Traditional Data Governance Model Is No Longer Suitable for AI/ML - 36氪
After a detailed review of existing industry frameworks, including the NIST AI Risk Management Framework and emerging data governance standards, the ...
Data centers are coming to Colorado. Can the parched state handle their large-scale water needs?
Powerful central processing units, called GPUs, which are often preferred for AI workloads, consume 10 to 15 times more power per processing cycle ...
Pure Storage's Geoff Greenlaw: Why data, not storage, will define channel success in 2026
“The highlight of 2025 was our launch of the Pure Storage Enterprise Data Cloud, helping customers shift focus from managing their storage, to ...
AI makes the database matter again - InfoWorld
The best code is the code you do not write. DatabasesData ManagementDatabase AdministrationArtificial Intelligence ... Database AdministrationDatabase ...
Sovereign cloud and AI services tipped for take-off in 2026 - Computer Weekly
He continues: “As data continues to grow in value, governments are recognising that an inability to secure, manage and use the data generated by their ...
AI Is Making The Climate Crisis Worse. It Could Also Help Fix It. - Atmos Magazine
Acquiring this data could improve cleanup strategies and, when “combined with policy pressure, this could help shift entire waste-management systems, ...
Preparing Government for Agentic AI: Data, Governance, and Operating Model for ... - IDC
As a result, national administrations across Asia/Pacific are increasing allocations toward data management, interoperability, and governance, ...
From Experimentation to Execution: How AI Is Rewiring Wealth Management Workflows
Its platform connects with existing systems, Customer Relationship Management (CRM), meeting platforms, portfolio data, and embeds AI agents directly ...
Soil carbon debt from land use change in Brazil | Nature Communications
All code used for data processing, statistical analyses and figure generation has been deposited in a publicly accessible GitHub–Zenodo repository ...
AI's Last-Mile Failure: Why ERP Value Breaks Down After the Investment
This leads to predictable results: Recommendations get overridden, teams turn back to spreadsheets and managers rely on experience over data and ...