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Generative AI will be the key to achieving patient-centric care

CIO

The adoption of generative AI in the U.S. Both healthcare payers and providers remain cautious about how to use this latest version of artificial intelligence, and rightfully so. And yet, generative AI is a transformative technology—one that cannot be ignored. healthcare ecosystem has only just begun.

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations. However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology.

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IT leaders rethink talent strategies to cope with AI skills crunch

CIO

As head of transformation, artificial intelligence, and delivery at Guardian Life, John Napoli is ramping up his company’s AI initiatives. And a big part of that is scaling up AI talent. The survey also found that 73% of employers have made hiring talent with AI skills and experience a priority.

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IT leaders’ AI talent needs hinge on reskilling

CIO

Deloitte’s State of Generative AI in the Enterprise report for the second quarter of 2024, found that 75% of the nearly 2,000 IT and line-of-business leaders surveyed anticipate changing their talent strategies within the next two years because of generative AI.

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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

The customer relationship management (CRM) software provider’s Data Cloud, which is a part of the company’s Einstein 1 platform, is targeted at helping enterprises consolidate and align customer data. Artificial Intelligence, Business Intelligence and Analytics Software, CRM Systems, Databases, Enterprise Applications

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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CIOs confront generative AI’s workplace X factor

CIO

In the rush to establish technical strategies for making good on the promise of generative AI, many CIOs find themselves running headlong into what may be their most challenging task yet: preparing their organization’s end-users — from knowledge workers and assembly line laborers to doctors, accountants, and lawyers — to co-exist with generative AI.