IBM
AI & DATA
IBM
- ARTIFICIAL INTELIGENCE
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82 roadmap based on three steps : develop a clear data strategy ; execute enterprise-wide data governance and management systems ; and become the central data and AI framework for the IBM enterprise .
The first is crucial for any enterprise embarking on such a journey and starts with one straightforward question : what is your company ’ s monetisation strategy ? This is , says Bhandari , key to a successful data strategy . “ Any data strategy has to be tied to the business strategy , and that revolves around how the company is going to make money , maximise business impact , and delight customers ,” he explains . “ In IBM ’ s case it was clear that we were going to make money primarily from best-in-class AI and hybrid multi-cloud offerings . But it wasn ’ t clear what AI meant for an enterprise or how to go about it . Thus we thought why not make IBM itself into an AI enterprise and use it as a showcase for our clients .” Bhandari created a dedicated team that consists of world-class data and AI specialists who collaborate across the entire business .
JULY 2020