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Vendors are taking the mystique out of machine learning by offering layers for automating data prep and algorithm choices, opening up AI to motivated, data-smart business users.
Understanding data is a prerequisite to gaining control of any enterprise. But understanding is only useful if that knowledge can be shared and transmitted. Effective data modeling should be a primary focus of any enterprise architect.
Tesla is harnessing artificial intelligence and machine learning to build one of the most innovative neural networks in the world.
BlueCross BlueShield of Tennessee drills into data to help its partners better tackle budget pressures and member care by getting insights faster.
The managed care consortium's Advance Alert Monitor early warning system uses predictive analytics to identify patients at risk of deterioration within the next 12 hours.
While some companies flirt with digital transformation, experimenting with one-off projects, others make it a key pillar of their enterprise business strategies. Read on to see how some 2019 CIO 100 award-winning organizations are successfully scalin
The online retailer turns squads of developers, data scientists and product managers loose to build machine learning software and other critical business capabilities.
The value of improved data analytics, integration and visualization has surged in importance in recent years, highlighted by many recent acquisitions of companies in the space. CIOs should prioritize team education, modern toolsets and processes to t
Data issues are among the chief reasons why AI projects fall short of expectations. But if you can learn from the mistakes and commit to the long term, your AI efforts are more likely to pay off.
CIO are increasingly being asked to help attract, manage and support customers. These technologies and practices can help enhance your companyu2019s CX and fuel revenue for your digital transformation.