Hitachi Digital Services CEO Lvin on AI transformation, operations technology and use cases
Hitachi Digital Services CEO Lvin on AI transformation, operations technology and use cases
Publish Date: 2026-03-14 14:56:00
Source Domain: www.constellationr.com
Hitachi Digital Services CEO Roger Lvin said the move to AI agents will feature more transformation in a shorter amount of time than cloud computing due to “the reinvention of processes and applications from scratch.” Lvin also talked about talent in the AI era, R&D, operations technology and IT convergence and the need for domain knowledge in AI use cases.
Lvin spoke at Hitachi Digital Services’ US Analyst and Advisor Day. Hitachi Digital Services is part of Hitachi Group’s Digital Systems & Services division.
Here’s a look at the takeaways from Lvin’s talk:
Agentic AI’s real impact. Lvin said agentic AI is “a real movement” that will have an impact that’s overlooked. “Agentic AI will allow us to skip what we had gone through with cloud,” said Lvin. He noted that the cloud had two phases. First, there was migration which was largely successful. The second was implementation and returns, which didn’t deliver the savings expected for many. The cloud led to a lot of brown field implementations that revolved around retooling existing systems and processes. Agentic AI will feature more green field implementations because there won’t be a lift and shift progression.
“With agentic AI, you’re going to see a significant movement towards modernization in a green field type of manner. I think you’re going to see a lot of reinvention of processes and applications from scratch because of the new approaches. I think that will come about a year from now.”
Your data will never be perfect enough. Lvin said it’s a mistake to think you have to have your data house completely in order before taking on AI use cases. He said:
“For AI, obviously, you need data. If you don’t have data, you are dead in the water. But I think a lot of the companies two years ago were stuck in the in their horizontal proof of concept hell. I think a lot of companies are now stuck there because they think their data has to be perfect before they go on this AI…
