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In addition to the design of the transformation process, carrying out a dedicated cloud migration project is often not enough to achieve the necessary digital change. At the same time, it’s been possible to avoid excessive dependencies by building up or strengthening internal vendormanagement capacities.
It is driven by changes in customer expectations, opportunities to evolve employee experiences, and building differentiating capabilities with data, analytics, and artificialintelligence — all of which have no clear end point, nor are exclusively technology-focused.
AI and changemanagementChangemanagement has long been instrumental to the success of AI projects. But, until this year, this was a relatively manageable problem since the AI projects had limited scope. This is the largest changemanagement project in history,” says Greenstein.
Mitre had to create its own system, Clancy added, because most of the existing tools use vendor-managed cloud infrastructure for the AI inference part. The changemanagement process is very important when deploying these systems, says Pushpa Ramachandran, VP and global head AI at Wipro Technologies.
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