
Nvidia, Accenture, ServiceNow launch initiative for enterprise gen AI adoption


Technology consulting firm Accenture on Monday introduced the AI Lighthouse — an initiative to speed up the development and implementation of enterprise generative AI capabilities — in collaboration with tech companies ServiceNow and Nvidia.
AI Lighthouse will assist customers across various industries in creating and deploying new generative AI use cases, ServiceNow said in a statement.
By combining the ServiceNow enterprise automation platform and engine, Nvidia AI supercomputing and software, and Accenture AI transformation services, this partnership aims to help customers build and deploy custom generative AI large language models (LLMs) and generative AI applications, the statement added.

That said, the partnership will tap into Accenture’s Center for Advanced AI, focusing on generative AI and large language models (LLMs), to accelerate the design and engineering of domain-specific LLMs and generative AI capabilities within the ServiceNow platform, as Accenture’s Chair and CEO, Julie Sweet said that the company will leverage its functional and industry knowledge to bring these use cases to life for customers.
Nvidia, in its press statement, said, it will provide the computing power for model training and tuning with Nvidia DGX AI supercomputing and Nvidia DGX Cloud, as well as the Nvidia NeMo LLM software. Nvidia’s DGX Cloud is designed to meet the massive supercomputing demands for training generative AI and large language models.
Since GenAI models use enormous datasets and require significant computing power for training and generating the content, graphics processing units (GPUs) are ideal for GenAI applications, Jensen Huang, the founder and CEO of Nvidia, said in April this year, emphasising that the company has been actively investing and partnering with several companies across the globe for the rapid adoption of generative AI.

In June, Accenture too announced an investment of $3 billion in its AI practice over the next three years that it said, will offer industry-specific solutions and pre-built models. The company also said that it will double its AI talent to 80,000 people through hiring, acquisitions and training.
Since May, ServiceNow has also introduced a range of generative AI capabilities designed for the Now Platform, tested in enterprise environments with leading pharmaceutical, manufacturing, and healthcare companies. Last week, the software company partnered with professional services firm KPMG to help its client automate their finance and supply chain workflows.
The launch of OpenAI’s ChatGPT in November 2022 sparked massive interest among many companies to leverage GenAI-powered chatbots and other solutions for greater business efficiency.

Indian IT companies, from TCS to Infosys and Tech Mahindra, are also heavily focusing on generative AI. TCS’ generative AI leverages Google Cloud’s generative AI services to design and deploy custom-tailored business solutions. Infosys too launched its AI-first offering Topaz in May.
Tech Mahindra also unveiled its gen AI studio to help enterprises bootstrap generative AI in April. Companies across the world too, from banks, healthcare companies to big tech, have accelerated their investments in generative AI over the last 6-8 months and are partnering with technology providers to work in this space. Many more such partnerships are likely to emerge in the future, believe experts.
With the influx of consumer generative AI programmes and tools in the market, the generative AI market is poised to explode, growing to $1.3 trillion over the next 10 years from a market size of just $40 billion in 2022, according to a report published in June by research firm Bloomberg Intelligence (BI).

The growth could expand at a CAGR of 42%, driven by training infrastructure in the near-term and gradually shifting to inference devices for LLMs, digital ads, specialised software and services in the long term, it said.