Remove Compliance Remove Generative AI Remove Government Remove Social
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5 use cases for how Generative AI can supercharge document productivity across the enterprise

CIO

Generative AI presents an incredible new opportunity to empower every knowledge worker to get more value from their documents and work more productively. However, deploying generative AI across the organization quickly, yet in a secure and compliant way can be challenging for IT leaders.

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Salesforce plans generative AI boost for ESG reporting with Net Zero Cloud

CIO

Generative AI will soon be everywhere — including in Salesforce’s Net Zero Cloud environmental, social, and governance (ESG) reporting tool. Net Zero Cloud uses data held within the Salesforce platform to help enterprises report on their carbon footprint and manage other social and governance metrics.

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Governance for responsible AI: The easy things and the hard ones

CIO

Companies developing and deploying AI solutions need robust governance to ensure they’re used responsibly. It’s important to constantly evaluate new potential threats and be ready to update governance processes as a result. Already with generative AI, compute needs and energy use have radically increased.

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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.

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Fujitsu partners with Cohere to build LLMs for Japanese enterprises

CIO

Japanese cloud service and data intelligence firm, Fujjitsu, has formed a strategic alliance with Cohere, a Toronto and San Francisco-based enterprise AI company known for its focus on security and data privacy, to develop and provide secure, cutting-edge generative AI solutions for Japanese enterprises.

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AI incident reporting shortcomings leave regulatory safety hole

CIO

Notable examples of AI safety incidents include: Trading algorithms causing market “flash crashes” ; Facial recognition systems leading to wrongful arrests ; Autonomous vehicle accidents ; AI models providing harmful or misleading information through social media channels.

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India’s advisory on LLM usage causes consternation

CIO

The ministry’s reaction, in the form of an advisory issued Friday, has attracted criticism from India’s IT sector because of the restrictions it places on innovation and the compliance risk it places on some enterprises. Google, too, has its own algorithms for detecting AI-generated content but has not made any announcements on this front.