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Oracle is betting on its database dominance, AI vision, and massive data center investments in a bid to overtake current giants in the cloud.
Synthetic data has long been used to create larger training sets for AI while preserving privacy and protecting sensitive information. But its use has historically been limited to companies able to afford data scientists. Generative AI is changing al
ERP systems were meant to democratize data, but by reinforcing CFO control, they often sideline operations and stall true digital transformation.
When its custom data pipelines began to fail at scale, one team pragmatically chose a single tool to create momentum, valuing progress over perfection.
With Taikun, Cloudera expands its stack to offer consistent, cloud-native operations everywhere.
In a rapidly evolving global market, navigating cross-border data privacy is more challenging than ever. Here’s how companies can stay compliant while protecting their most valuable assets.
Leaderboard scores don’t guarantee real-world AI success. True value comes from performance in complex, practical and often unpredictable conditions.
A successful AI initiative is largely determined by the underlying quality of data. IT leaders are elevating their data lake, warehouse, and lakehouse strategies to provide the foundation.
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.
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