O'Reilly Media - Ideas
APRIL 9, 2024
Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance. But what about AI? Will AI yield to the “temptation” to write low-value tests?
CIO
JULY 31, 2023
Organizations are rushing to figure out how to extract business value from generative AI — without falling prey to the myriad pitfalls arising. They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies.
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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.
InfoWorld
JANUARY 15, 2024
In a recent article about upgrading continuous testing for generative AI , I asked how code generation tools , copilots, and other generative AI capabilities would impact quality assurance (QA) and continuous testing. To read this article in full, please click here
CIO
FEBRUARY 9, 2024
Salesforce is working on adding two new prompt engineering features to its Einstein 1 platform to speed up the development of generative AI applications in the enterprise, a top executive of the company said. The features are expected to be released in the next few days, Cheng said, without giving an exact date.
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 20, 2023
Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets. The use of AI will only continue to rise, making this capability crucial for decision-making.
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