enterprise application software company SAP expects demand for artificial intelligence (AI) to drive cloud revenue.
That’s why we’ve created a new role. Chief AI Officer He will oversee AI implementation across the company’s suite of services, Bloomberg News said in an interview with the executive on Thursday (March 7). Philip Herzig.
“A key part of our strategy is the goal to be really, really fast,” Herzig said.
The report said that while SAP was a latecomer in moving customers to the cloud, it has started to see strong growth there and is looking to leverage AI to accelerate customer migration.
Herzig told Bloomberg that more than 24,000 SAP customers have adopted the company’s AI solutions, and less than 1% of them are still using on-premises systems. He added that it is easier to develop “ready-to-use” AI services for cloud users, with little to no retraining required.
A Bloomberg News report noted that this approach has made some SAP on-premises customers uncomfortable.
“Of course, in terms of AI and how these models are trained, these have to be done in the cloud,” said Jens, chairman of DSAG, an interest group representing more than 3,800 SAP customers in Germany, Austria, and Germany. Hungershausen said. Switzerland. “However, we believe that the results of these models can also be used in on-premises systems.”
According to the report, part of SAP’s approach involves rather than developing large-scale language models (LLMs). major cloud provider We support the likes of Google and Amazon, as well as AI startups like Anthropic.
“We chose them last year because they had really interesting technologies in different parts of the AI architecture that we needed,” Herzig says. “Sometimes people only look at them in terms of the big language model itself, but there’s a lot more behind it.”
SAP announced in January: Rebuild to incorporate more AI This will result in 8,000 employees being retrained or leaving under a voluntary leave program, the company said.
In other aspects of AI, PYMNTS explored in an interview Thursday how the technology is helping bridge the gap between available data and actionable insights. pecans CEO and co-founder Zohar Bronfman.
“Large language models typically very good at interaction It’s about collaborating with humans, collecting data, and giving them access to knowledge and data,” said Brofman, who spoke with PYMNTS in conversation for the series “AI Effect.”
“These are the best technologies humans have ever created, and they help make knowledge accessible,” he added.
