Nvidia expanded its partnership with Accenture We help businesses scale their adoption of artificial intelligence.
The news comes as demand for generative AI boosted Accenture’s orders by $3 billion in its latest fiscal year, according to Wednesday (October 2). press release.
The expanded partnership includes the creation of Accenture’s AI Refinery, powered by Nvidia technology, and the Nvidia Business Group, which aims to “help clients lay the foundation for agent AI capabilities.” AI stack.
“With our partnership with Nvidia, we are breaking important new ground and putting our clients at the forefront of using generative AI as a catalyst for reinvention,” said Accenture Chairman and CEO. julie sweet said in a release. “Accenture AI Refinery creates opportunities for companies to reimagine processes and operations, discover new ways of working, and extend AI solutions across the enterprise to drive continuous change and create value.”
According to the release, Accenture AI Refinery is available across all public and private cloud platforms and can be integrated with other Accenture business groups to deliver AI across the Software-as-a-Service (SaaS) and cloud AI ecosystems. It is said to accelerate.
The partnership follows Accenture’s partnership with Accenture in May. oracle Designed to accelerate client adoption. Generation AI in financial organizations.
In other AI news, the technology’s growing role in software development is contributing to the reshaping of AI. commercialaccelerate product launches and create more personalized customer experiences.
coding tools GitHub Copilot and OpenAI‘s codexis transforming the way companies develop and deploy software. These advanced machine learning models can suggest code snippets, run functions, or build entire code files using prompts or existing code.
“AI coding tools can significantly improve developer productivity by automating some repetitive tasks and code suggestions,” said Dhaval Gajjar.Chief Technology Officer of a SaaS Company text driphe told PYMNTS on Tuesday (October 1). “This shortens development cycles and therefore speeds time to market.”
These tools are code quality Discover potential errors during development based on best practices. The lengthy testing and debugging process is reduced, resulting in significant time and resource savings. ”
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