
Accenture and NVIDIA announced an expansion of their partnership in the field of artificial intelligence (AI) through the creating of the NVIDIA Business Group.
The business unit will advise companies on the introduction of AI systems such as AI agents and help with accelerating the implementation of the technology.
To bolster the initiative, 30,000 Accenture experts worldwide will be trained to support customers.
The Accenture AI Refinery platform, presented in July, is also part of the initiative and offers companies access to the full NVIDIA AI stack, including AI Foundry, AI Enterprise and Omniverse.
By building a network of Accenture AI Refinery Engineering Hubs in Europe, Asia and North America, customers can use NVIDIA AI for large-scale restructuring, building agent-based process architectures and developing foundation models.
The business group will focus on helping clients lay the foundation for agentic AI functionality to advance areas including process reinvention, using the Accenture AI Refinery, an end-to-end platform based on agentic architecture powered by AI Foundry.
Agentic architectures are helping organizations move beyond proof of concepts and experiments, to scaled AI across the enterprise.
The business group will also focus on AI-powered simulation (simulating and visualizing physics-based systems) and sovereign AI.
Focus on Scalability, Autonomy
Tom Stuermer, data and AI ecosystem lead for Accenture, said the company sees the advancements in purpose-built large language models (LLMs), the need for more complex problem solving and the desire for scalability and autonomy as the key drivers of agentic AI deployments.
“Generative AI is a rapidly evolving field, and continuous training approaches such as closed-loop reinforcement learning are essential to stay ahead of the latest trends,” he said.
This involves keeping up with the latest research, experimenting with new techniques, and continuously refining models.
He added continuous training plays an important role in ensuring that generative AI solutions are safe and responsible.
“By training models on diverse datasets and using techniques to mitigate bias, businesses can help to ensure that their AI solutions are fair and inclusive,” he said. “We’re seeing demand from clients for AI-powered enterprise reinvention.”
Meeting Cost, Complexity Challenges
Stuermer explained with the expansion of Accenture’s hubs, the company will be able to work more closely with clients across the globe, bringing together experts in data science, AI and industry.
“These engineering skills and the technical capacity for using agentic AI systems will help our clients transform large-scale operations,” he said. “Many organizations are struggling to realize the full value of GenAI.”
According to Accenture’s own research, nine in ten organizations recognize the value of GenAI, yet less than 10% of the companies have fully scaled GenAI use cases, with common challenges including cost, complexity, technical debt and data and talent readiness.
Stuermer said the AI Refinery will help organizations overcome these common barriers.
“For clients, it simplifies deployment of AI systems and solutions by ensuring that AI can be seamlessly integrated into existing business environments,” he said.
It empowers organizations to convert AI technologies and tools into scaled, enterprise AI systems that reflect their business needs.
“It accomplishes this by transforming corporate data into easily consumable, adaptable and portable enterprise information,” he explained.
It gives organizations the ability to leverage the right LLM models using Accenture’s switchboard services to accommodate a variety of AI architectures and deploy autonomous AI agents to support workflow reinvention driven by intent, not through predefined deterministic processes.
“These professionals will be able to connect with other business groups to support AI deployments across the ecosystem,” Stuermer said. “We will scale as needed based on client demand.”