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News, analysis, and insights for IT leaders navigating the risks and rewards of AI.

AI in the Enterprise

November 07, 2023

CIOs still grapple with what gen AI can do for the enterprise

A year since ChatGPT burst on the scene, and despite demonstrable benefits, IT leaders have yet to go all in on gen AI, choosing instead to proceed with caution.

Image: The case for holding off on generative AI

The case for holding off on generative AI

There’s a lot of talk but not many actual implementations of generative AI in the cloud. Better to have all the pieces in place before launching expensive projects.

Data loss prevention vendors tackle gen AI data risks

Businesses are using DLP tools to help secure generative AI and reduce risks of ChatGPT and similar applications.

Jira Service Management gains AI-powered ITSM capabilities

Atlassian’s IT Service Management platform becomes the latest member in the company’s product portfolio to benefit from its AI offering, Atlassian Intelligence.

Image: Q&A: Cisco CIO sees AI embedded in every product and process

Q&A: Cisco CIO sees AI embedded in every product and process

After little more than a year on the job, Cisco CIO Fletcher Previn can already see that AI will create productivity and efficiency gains well worth the money spent on developing domain-specific models to address internal and external business plans.

Snowflake’s Cortex to bring generative AI to its Data Cloud platform

Cortex is designed to help streamline the development of data-driven applications, use cases, AI and ML models, and foundation models from Snowpark.

Artists lose first copyright battle in the fight against AI-generated images

But the fight may not be lost as the court allowed the artists to claim copyright infringement against Stability AI, Midjourney, and DevianArt, on workpieces that the artists had filed a copyright for.

28 countries reach landmark agreement on “safe and responsible” AI development

Leading AI nations have reached a world-first agreement at Bletchley Park establishing a shared understanding of the opportunities and risks posed by artificial intelligence.

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