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whip bullsman reported that on october 3, according to foreign reports, nvidia expanded its partnership with accenture to help enterprises expand the adoption of artificial intelligence.

demand for generative artificial intelligence helped accenture land $3 billion in orders in its latest fiscal year, according to a press release issued on wednesday (october 2).

the expanded partnership includes the formation of an nvidia business group designed to help clients lay the foundation for agent ai capabilities in partnership with accenture's ai refinery, powered by nvidia's ai stack.

"our collaboration with nvidia breaks important new ground, allowing our clients to be at the forefront of using generative ai as a catalyst for reinvention," accenture chairman and ceo julie sweet said in a press release. accenture ai refinery will create opportunities for enterprises to reimagine processes and operations, discover new ways of working, and scale ai solutions across the enterprise to help drive continuous change and create value.

according to the press release, accenture ai refinery will be available on all public and private cloud platforms and integrated with other accenture business groups to accelerate ai development across the software-as-a-service (saas) and cloud ai ecosystem.

the partnership follows a collaboration between accenture and oracle in may to help clients accelerate the adoption of generative ai in their financial institutions.

in other ai news, the technology is playing an increasingly important role in software development, helping to reshape commerce, speed product launches, and create more personalized customer experiences.

coding tools like github copilot and openai’s codex are changing the way companies develop and deploy software. these advanced machine learning models can suggest code snippets, execute functions, or build entire code files using hints or existing code.

“ai coding tools greatly improve developer productivity by automating some repetitive tasks and code suggestions,” dhaval gajjar, cto of saas company textdrip, told pymnts on tuesday (october 1). this can shorten development cycles, thereby shortening development cycles. reduce time to market.

he said these tools maintain code quality according to best practices and catch potential bugs during the development phase. it reduces lengthy testing and debugging processes, thereby saving a lot of time and resources.