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4 ways CISOs can manage AI use in the enterprise

CIO

Over the summer, I wrote a column about how CIOs are worried about the informal rise of generative AI in the enterprise. Since then, many CIOs I’ve spoken with have grappled with enterprise data security and privacy issues around AI usage in their companies. AI is evolving faster than any tech wave we have seen in the past.

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Weighing risk and reward with gen AI vendor selection

CIO

Other respondents said they aren’t using any generative AI models, are building their own, or are using an open-source alternative. Synthetic media, which includes AI-generated text, images, audio, and video, grew by 222% compared to the previous year. And the AI writing assistant category grew by 177%.

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CIOs weigh the new economics and risks of cloud lock-in

CIO

Caveat emptor in the cloud Bob McGowan, CIO of Regeneron Pharmaceuticals, acknowledges the risk of cloud concentration is valid but he is more concerned about the readiness of SaaS partners. “If As for the AI question, this CIO’s approach mirrors that of many CIOs today. “We

Cloud 189
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Can developer productivity be measured? Better than you think

CIO

The developer productivity metrics that matter most The reason we believe this is that we are working with 20 tech, finance, and pharmaceutical companies that are doing it. So, it’s complicated. But we believe it can be done. The results are not definitive, but they are promising. Developer velocity index benchmarking. Contribution analysis.

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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning - AI

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. Evaluation for question answering in a generative AI application A generative AI pipeline can have many subcomponents, such as a RAG pipeline.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning - AI

In 2021, the pharmaceutical industry generated $550 billion in US revenue. Pharmaceutical companies sell a variety of different, often novel, drugs on the market, where sometimes unintended but serious adverse events can occur. The other data challenge for healthcare customers are HIPAA compliance requirements.

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Generative AI in Healthcare: Use Cases, Benefits, and Challenges

John Snow Labs

Generative AI in healthcare is a transformative technology that utilizes advanced algorithms to synthesize and analyze medical data, facilitating personalized and efficient patient care. Generative AI models now play a role, in drug discovery and development by reducing time and costs associated with bringing new medications to market.