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The ‘Great Retraining’: IT upskills for the future

CIO Business Intelligence

When the timing was right, Chavarin honed her skills to do training and coaching work and eventually got her first taste of technology as a member of Synchrony’s intelligent virtual assistant (IVA) team, writing human responses to the text-based questions posed to chatbots.

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Data Management in the Healthcare Industry

CIO Business Intelligence

Blockchain, because of its ability to immutably preserve transaction records, could accurately manage the distribution of pharmaceuticals, said Steven M Prentice @StevenPrentice. But AI is not the only technology that could have a profound impact on wellness.

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How Nvidia became a trillion-dollar company

CIO Business Intelligence

It’s also in the service business, operating its own cloud infrastructure for pharmaceutical firms, manufacturing, and others. One is building and running the virtual worlds in which self-driving algorithms are tested without putting anyone at risk. Nvidia gets two bites at this market. The other is the cars themselves.

Company 246
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Gen AI: Should you build or buy?

CIO Business Intelligence

Foundry’s 2023 AI Priorities study found interest in a broad range of gen AI use cases, including chatbots and virtual assistants (56%), content generation (55%), industry-specific applications (48%), data augmentation (46%), and personalized recommendations (39%). The case for building Enthusiasm for AI is now universal among IT leaders.

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A CIO’s first rule for automation: Have a clear business case

CIO Business Intelligence

As an example, the technology organization of the pharmaceutical segment at Cardinal Health collaborates closely with business leaders so they can identify current pain points and determine the right processes to automate, focusing on how these tools will improve the customer or employee experiences, says CIO Greg Boggs.

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What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

Predictive analytics use cases Organizations today use predictive analytics in a virtually endless number of ways. The technology helps adopters in fields as diverse as finance, healthcare, retailing, hospitality, pharmaceuticals, automotive, aerospace, and manufacturing. How should an organization begin with predictive analytics?

Data 363
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Nvidia and Siemens to accelerate digital twins’ development

CIO Business Intelligence

Everything we build in the real world is becoming so complex: We can’t imagine building these things without first simulating them inside the digital, virtual world,” said Rev Lebaredian, vice president of Omniverse and simulation technology at Nvidia.