CIO
MARCH 12, 2024
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.
CIO
SEPTEMBER 29, 2023
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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CIO
OCTOBER 11, 2023
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.
AWS Machine Learning - AI
JANUARY 26, 2024
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.
CIO
OCTOBER 17, 2023
But the emergence of generative AI changes everything. He adds, “This is behind the drive to generative AI by the cloud providers. Most recently the company launched gen AI-based services aimed at healthcare and life science organizations. IBM is stepping up with its Open-Stack-based watsonx AI platform.
CIO
APRIL 11, 2024
These days that includes generative AI. According to Leung, Oracle has been particularly focused on providing generative AI capabilities via the cloud. “We We carefully considered how an enterprise’s business processes could be enhanced with generative AI,” he says. The inherent risk is trust.
CIO
DECEMBER 8, 2023
Barely a year after the release of ChatGPT and other generative AI tools, 75% of surveyed companies have already put them to work, according to a VentureBeat report. The rate of occurrence runs between 3% and 8% for most generative AI platforms. In IT organizations, gen AI glitches wreak havoc in other ways.
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