Remove Compliance Remove Generative AI Remove Healthcare Remove Security
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Using Generative AI to Drive Corporate Impact

TechEmpower CTO

Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.

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

CIO

Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. 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.

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Ethics of generative AI: To be innovative, you must first be trustworthy

CIO

Over the past year, generative AI – artificial intelligence that creates text, audio, and images – has moved from the “interesting concept” stage to the deployment stage for retail, healthcare, finance, and other industries. On today’s most significant ethical challenges with generative AI deployments….

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The challenges of implementing Generative AI in identity management

CIO

Generative AI has been the topic of conversation since OpenAI thrust it into the mainstream. In fact, there are few industries not feeling significant shifts from the technology, from customer service to healthcare and everywhere in between. This is the cornerstone of security and compliance at every organization.

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Use cloud computing to accelerate GenAI adoption in healthcare with Microsoft AI

CIO

Certain healthcare organizations have been slow to embrace cloud computing despite its proven benefits, largely due to security concerns. But cloud caution will also likely hinder the healthcare sector’s adoption of Generative AI (GenAI) applications. The cloud is designed for exactly such demands.

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How to build a safe path to AI in Healthcare

CIO

Healthcare adheres to an elevated standard. This is evident in the rigorous training required for providers, the stringent safety protocols for life sciences professionals, and the stringent data and privacy requirements for healthcare analytics software. Therefore, every innovation must be approached with utmost caution.

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Patient data is at greater risk than ever. AI can help

CIO

It’s little wonder that data theft is increasingly common in the healthcare sector. The healthcare sector is far and away the number one target for cybercriminals. The risks and opportunities of AI AI is opening a new front in this cyberwar. The good news is that AI can be used to improve security.