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Digital twins have historically been used to better understand the workings of computer chips, factory floors, or complex machines like jet engines. But the turbo boost they get when combined with AI gives organizations exponentially more power.
Rachna Gandhi, global chief digital and data officer at Ramsay Health Care, recently sat with CIO editorial director in Australia and New Zealand Cathy O'Sullivan to discuss technology and human synergies through AI-enhanced people-centered care
CIOs with an eye for AI’s promise of improved productivity often find their efforts hindered by data quality, skills gaps, and sabotage, among other factors.
Data mesh empowers enterprise AI by enabling secure, flexible access to domain-specific data, which is crucial for unlocking real business value from AI.
With Taikun, Cloudera expands its stack to offer consistent, cloud-native operations everywhere.
AI demands adaptive data governance: real-time automation of policies, lineage and AI-driven monitoring ensures dynamic compliance for modern enterprises.
MIT CISR research into information businesses reveals how treating data as a product, complete with owners, lifecycle and metrics, separates leaders from laggards.
Rather than embed business leads in data teams, the agricultural cooperative flipped the script on cross-functional collaboration by positioning data product operations directly into business units themselves.
The deal, which has been in the works for more than a year, will deliver a ton of new data for Salesforce users, but the implications for Informatica users are less clear.
AI-powered digital twins enhance efficiency, predict outcomes and enable cost-effective system tuning by simulating real-world entities before live deployment.
Fabric is being transformed as a decision infrastructure layer to support faster decision making and easier development of agentic applications, analysts say.
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