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Driving Business Value with an Explicit Analytics and AI Strategy

Analytics and AI are booming in organizations, but many companies are not yet realizing strategic value from their projects and investments. One key reason for this lack of strategic value is the absence of an analytics and AI strategy in many firms. In fact, according to a recent survey of senior data and analytics executives in large, sophisticated firms, only 30% of the respondents said they had a well-articulated data or analytics strategy for their organizations.

In this interactive session, Tom Davenport interviews Abhi Seth (VP, Data & Analytics, TE Connectivity) and Bill Groves (Strategic Advisor, Former Chief Data & Analytics Officer, Walmart), both of whom have extensive experience in creating and implementing an analytics and AI strategy for multinational organizations. Seth and Groves discussed key objectives, processes, and components of an effective analytics and AI strategy – from matching technologies to business problems to the art and science of change management. While an implicit strategy is better than none, an explicit analytics strategy that is both thorough and developed collaboratively will engage the business and provide direction to executives and employees.