Accenture launches Nvidia unit to accelerate enterprise AI

AI-driven partnership for enterprise transformation: Accenture has formed a significant partnership with Nvidia, creating a dedicated business group to accelerate enterprise AI adoption and scale generative AI solutions.

• The Accenture Nvidia Business Group will comprise 30,000 professionals trained to help clients reinvent processes and leverage AI as a competitive advantage.
• This collaboration aims to meet the growing demand for generative AI, which has already driven $3 billion in Accenture bookings in its recently closed fiscal year.
• The partnership will utilize Accenture’s AI Refinery platform, which incorporates Nvidia’s full AI stack, including Nvidia AI Foundry, Nvidia AI Enterprise, and Nvidia Omniverse.

Key initiatives and technologies: The partnership focuses on several cutting-edge AI technologies and approaches to drive innovation and productivity in enterprises.

• Agentic AI systems, considered the next frontier of generative AI, will be a primary focus, enabling AI to act on user intent, create new workflows, and take appropriate actions to reinvent entire processes or functions.
• The collaboration will advance areas such as process reinvention, AI-powered simulation, and sovereign AI, leveraging Nvidia’s hardware and software capabilities.
• Accenture’s AI Refinery will be available on all public and private cloud platforms, integrating seamlessly with other Accenture Business Groups to accelerate AI adoption across the SaaS and Cloud AI ecosystem.

Global impact and industry applications: The partnership is already yielding results across various industries and regions, showcasing the potential for widespread AI adoption.

• In Indonesia, Accenture and Nvidia are collaborating with Indosat Group to develop the country’s first sovereign AI, focusing initially on the financial services sector.
• A new Nvidia NIM Agent Blueprint for virtual facility robot fleet simulation is being introduced, integrating various Nvidia software solutions to enable industrial companies to build autonomous, robot-operated software-defined factories and facilities.
• Accenture plans to implement these capabilities at Eclipse Automation, its manufacturing automation company, aiming to achieve up to 50% faster designs and 30% reduction in cycle time for clients.

Expanding AI infrastructure and expertise: To support the growing demand for AI solutions, Accenture is significantly expanding its AI-focused infrastructure and talent pool.

• A network of AI engineering hubs is being established as part of Accenture’s Center for Advanced AI, focusing on the selection, fine-tuning, and large-scale inferencing of foundation models.
• New AI Refinery Engineering Hubs are being added in Singapore, Tokyo, Malaga, and London, complementing existing hubs in Mountain View, California, and Bangalore.
• These hubs will address challenges related to accuracy, cost, latency, and compliance when scaling AI development.

Internal implementation and benefits: Accenture is not only offering AI solutions to clients but also implementing them within its own operations, demonstrating the tangible benefits of AI adoption.

• At Eclipse Automation, Accenture is leveraging agentic AI systems to transform large-scale operations.
• Accenture’s marketing function is integrating the AI Refinery platform with autonomous agents to create and run smarter campaigns, resulting in a 25% to 35% reduction in manual steps, 6% cost savings, and an expected 25% to 55% increase in speed to market.

Strategic implications and future outlook: The Accenture-Nvidia partnership represents a significant step towards widespread enterprise AI adoption and has far-reaching implications for various industries.

• This collaboration positions both companies at the forefront of the AI revolution, potentially reshaping how businesses operate and compete in the digital age.
• The focus on agentic AI and large-scale implementation could accelerate the development of more sophisticated AI systems capable of handling complex, autonomous tasks across various sectors.
• As AI continues to evolve, partnerships like this may become increasingly crucial for companies looking to stay competitive and innovative in a rapidly changing technological landscape.