Remove Generative AI Remove Healthcare Remove Software Development
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Five generative AI tips for every business leader

CIO

Generative AI gives organizations the unique ability to glean fresh insights from existing data and produce results that go beyond the original input. Companies eager to harness these benefits can leverage ready-made, budget-friendly models and customize them with proprietary business data to quickly tap into the power of AI.

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10 most in-demand generative AI skills

CIO

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

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The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

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Agentic AI: Decisive, operational AI arrives in business

CIO

A more operational, business-specific way of leveraging generative AI is beginning to take shape in the form of AI agents that quietly work behind the scenes, moving beyond gen AI’s creational capabilities toward autonomous decision-making in enterprise workflows.

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Chief AI officers in demand as IT leaders expect gen AI productivity boost, survey finds

CIO

For its AI Priorities Study 2023 , Foundry surveyed IT decision-makers who have either implemented AI and generative AI technologies in their organizations, have plans to, or are actively researching them. Top of those AI priorities for now is generative AI, with 56% of respondents eager to learn more about it.

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Humanizing payor-provider interactions one task at a time

CIO

Healthcare providers have a clear and urgent requirement: they want payers to process authorizations, claims, and payments quickly and accurately. But healthcare payer IT leaders are saddled with big, expensive, and lengthy change processes – both on provider portals and on the backend data architecture that support them.

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

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.