Accenture has announced they are creating a new NVIDIA Business Group as part of the new exclusive partnership with Team Green.
Through this new partnership, this dedicated group will be focusing on helping Accenture clients to establish a foundation for agentic AI capabilities through the organization’s AI Refinery which consists of NVIDIA’s full AI stack of AI Foundry, AI Enterprise, and Omniverse to achieve sovereign AI, brand new innovation, and AI-driven simulation.
With live applications of autonomous agents already within marketing operations, AI Refinery will be available across both public and private cloud platforms and will integrate smoothly with other Accenture Business Groups to foster AI growth within the SaaS and Cloud AI ecosystem.
The new Accenture NVIDIA Business Group will propel the adoption of generative AI, helping clients scale agentic AI systems to achieve new levels of productivity and growth where one of the efforts is a huge investment of 30,000 professionals globally receiving training that aims to help clients reimagine processes and scale AI adoption across enterprises.
Agentic AI represents a significant leap for generative AI. Unlike traditional generative AI where humans input prompts, agentic AI can act autonomously based on user intent, creating workflows and taking actions to reinvent processes and operations.
Accenture and NVIDIA are already enabling clients to implement and scale agentic AI systems. For instance, Indosat Group has launched Indonesia’s first sovereign AI, which allows businesses to deploy AI securely while ensuring compliance with data governance regulations. In partnership with Accenture, Indosat is developing industry-specific solutions using NVIDIA AI software and accelerated computing, initially focusing on the financial services sector. These solutions, powered by the AI Refinery platform, will help Indonesian banks improve profitability, efficiency, and sustainable growth in a competitive landscape.
Accenture will also unveil a new NVIDIA NIM Agent Blueprint for virtual facility robot fleet simulation. This tool integrates NVIDIA Omniverse, Isaac, and Metropolis software to help industrial companies design and operate autonomous, robot-run factories more efficiently.
These new capabilities will be used by Eclipse Automation, an Accenture-owned manufacturing automation company, to deliver designs up to 50% faster and reduce cycle times by 30%.
Other than these, the organization will be launching a network of AI engineering hubs with deep expertise in agentic AI systems to help transform large-scale operations. These hubs will focus on refining and scaling foundation models, addressing accuracy, cost, latency, and compliance issues at scale.
Expanding on existing hubs in Mountain View, California, and Bangalore, Accenture is adding new AI Refinery Engineering Hubs in Singapore, Tokyo, Malaga, and London.
Beyond Eclipse Automation, Accenture’s marketing function is integrating the AI Refinery platform with autonomous agents to create and execute more efficient campaigns. This is expected to reduce manual steps by 25-35%, cut costs by 6%, and improve speed to market by 25-55%.
Accenture and NVIDIA have come together and expressed their positive outlook about the extended partnership.
“We are breaking significant new ground with our partnership with NVIDIA and enabling our clients to be at the forefront of using generative AI as a catalyst for reinvention. Accenture AI Refinery will create opportunities for companies to reimagine their processes and operations, discover new ways of working, and scale AI solutions across the enterprise to help drive continuous change and create value.” – Julie Sweet, Chair and CEO, Accenture
“AI will supercharge enterprises to scale innovation at greater speed. NVIDIA’s platform, Accenture’s AI Refinery and our combined expertise will help businesses and nations accelerate this transformation to drive unprecedented productivity and growth.” – Jensen Huang, Founder and CEO, NVIDIA
You can find out more about Accenture AI Refinery here.
