INTERVIEW
summary
Claims rapid adoption in India with 50% increase in AI projects moving from POC to prototype, but realistic outcomes show only 10–20% success rate. Recommends a phasewise path: validate with simple Excel and a regression prototype before investing in data pipelines and platforms, and prioritize integration into end to end business processes rather than standalone models. Outlines three platform pillars — intelligence suite (apps + integration), intelligent technologies like IoT and ML, and a digital platform for data management and cloud — and predicts analytics shifting from reporting to action.
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chapters (4)
- 0:00Start
- 2:51IS IT SAFE TO SAY THAT THE GAP BETWEEN REALITY AND HYPE HAS STARTED TO CLOSE?
- 3:39WHAT KIND OF CHALLENGES ONE HAS TO FACE IN ORDER TO BRIDGE THIS GAP?
- 5:37WHAT IS THE VISION OF SAP FOR AI?
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