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Home » S/4HANA Cloud, Industry-Specific Functionality, Generative AI | Thomas Saueressig on SAP Products
Cloud Wars

S/4HANA Cloud, Industry-Specific Functionality, Generative AI | Thomas Saueressig on SAP Products

Cloud Wars LiveBy Cloud Wars LiveJuly 18, 2023Updated:July 18, 20232 Mins Read
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Bob Evans recently interviewed Thomas Saueressig, SAP’s Executive Board Member and Head of Global Project Engineering. The two discuss the S/4HANA Cloud, digital transformation, industry-specific capabilities, and how generative AI creates productivity improvements.

S/4HANA Cloud Capabilities

The Big Themes:

  • S/4HANA is a force multiplier: S/4HANA is part of the “next generation of ERP,” meaning its intelligent, sustainable, and collaborative. The product is truly a “model A suite of applications,” leveraging the best that ERP systems have to offer. The company ensures the time-to-market for the product is quick, offers great value to users, and is an overall end-to-end product for customers.
  • Industry-specific business networks: With the S/4HANA Cloud, SAP is able to go beyond helping individual companies adopt industry-specific solutions, and rather, extend these capabilities across entire industries. The notion of connectivity that is embedded in the product makes it a differentiator.
  • Generative AI to enhance productivity: SAP systems are used for the most critical business decisions. When integrating artificial intelligence (AI) and generative AI into its products, SAP offers the highest level of trust, responsibility, and reliability in its outcomes.

The Big Quote: “As you pointed out, we build on top of our business technology platform and AI foundational layer, which basically ensures all the trust orchestration, the ethical approach to direct integration to multiple large language models, which we leverage to a point, we leverage the best technology on the market behind the scenes leveraged by the scenarios infused in the application. So, our AI is built in and embedded in the applications and users can directly consume it. And it’s also more relevant because, for sure, we train actual models with our business data in the context of our domain model, which we have, but also provide dedicated wisdom and capabilities as part of the customer-specific data, which you can infuse.”

Stream the audio version of this episode here:
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