CEO’s at Sapphire Orlando reveal how SAP and NVIDIA are using

AI to create “The Most Valuable Language.”

Businesses are reshaping the business landscape, utilizing industrial simulation to improve sales processes and accelerate Joule AI copilot’s consulting and coding skills.

The industry leader in corporate cloud computing, SAP, based in Germany, is using industrial digital twins and generative AI to create next-generation enterprise apps for its clients.

At SAP’s Sapphire event in Orlando, Florida, NVIDIA and the business software provider announced their generative AI initiatives.

Salespeople will be able to see 3D product digital twins in SAP Intelligent Product Recommendation immediately as a result. Based on OpenUSD, NVIDIA Omniverse enables users to mimic how programmable equipment may physically fit into and function in the real environment, reducing expenses and time while increasing productivity and security.

These latest developments follow the firms’ announcements in March at GTC of AI-focused partnerships.

Speaking via video link at the SAP Sapphire conference, NVIDIA founder and CEO Jensen Huang said, “We’ve managed to learn the representation of almost any language.

“This is one of the most astonishing advances in massive language models and generative AI.”In our company, CUDA is the most practical language. At SAP, ABAP is the most helpful language.

“To have a specialist, an agent, and AI to help us to do all the things that we want to do to manage our business, we’ve created some amazing generative APIs that understand the language of SAP, the language of supply chains, and the language of ERP systems,” explained Christian Klein, CEO of SAP.

SAP’s Generative AI Copilot, Joule, is Accelerated by NVIDIA AI

With Joule integrated throughout SAP’s suite of cloud apps and solutions, customers can work more quickly and obtain more insightful decisions based on business data. The business unveiled at SAP Sapphire a new consultancy offering for Joule that makes use of NVIDIA NeMo Retriever microservices.

The new AI-powered SAP Consulting capabilities, which are linked to 200,000 pages of SAP learning content, help, product documentation, and community content, enable tens of thousands of SAP consultants to collaborate with end customers more effectively and to obtain up-to-date product and process details.

Prominent system integrators and internal SAP consultants are already previewing Joule’s SAP consulting skills.

AI-driven by NVIDIA will also help the over 5 million developers who use SAP’s ABAP programming language. Using NVIDIA HGX H100 platforms, SAP’s custom model was trained on over 250 million lines of proprietary ABAP code.

To get the best runtime performance, NVIDIA NIM inference microservices will be implemented.

With Joule, developers may write, finish, and explain code in addition to creating software unit tests. Joule has ABAP Developer features. They may now devote more of their time to developing and implementing features as opposed to writing code by hand.

Developers and clients will allegedly be able to utilize this NVIDIA AI Enterprise product—which combines NeMo and NIM—through SAP AI Core’s generative AI centre. GTC 2024 saw the unveiling of this.

Omniverse to Assist in Streamlining Complex Product Sales Processes

SAP is creating the future of connection and reinventing important business processes, such as the sales process for manufacturers, with the help of NVIDIA AI and Omniverse.

SAP Intelligent Product Recommendation software uses generative AI to evaluate criteria given in simple terms and recommends the most adaptable items.

Thanks to Omniverse Cloud APIs integrated into the application, users may then interact with physically accurate representations of complex products in a digital replica of the space in which they will be put.

This facilitates the faster provision of estimates by sales teams and enables salespeople to provide the best solutions to meet the demands of their clients.

Additionally, SAP Intelligent Product Recommendation may employ NVIDIA AI to assess text from a range of sources, including emails and notes made from product specifications sheets or customer relationship management software.

This makes it possible for the computer to generate recommendations based on significant, individual parameters, such as projected carbon footprint, lead times, and power requirements.

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