01 Drive “intentional” AI To all intents Creating value from AI requires leaders to anchor and purposes AI in C-suite objectives. Most global organizations today believe passionately in the value of data and analytics. But one life sciences company had been struggling to move from theory to execution in implementing data and insights capabilities Strategic Scalers pilot and successfully scale more initiatives than their across all its business divisions. And they had a Proof of Concept counterparts—at a rate of 2:1—and set longer timelines. vision to scale a collaborative data-powered They are 65% more likely to report a timeline of one to two years to move For Strategic service delivery model to create an internal from pilot to scale. And even though they achieve more, Strategic Scalers Scalers, 8 of 10 marketplace for FAIR (findable, available, spend less. At first glance it may seem paradoxical. But the data indicate scaling initiatives interoperable, reusable) data. that these leaders are more intentional, with a more realistic expectation in terms of time to scale—and what it takes to do so responsibly. are successful Working with data and digital leadership, the multi-functional team designed and delivered a To successfully scale, companies need structure and governance in holistic data and analytics strategy while place. And the Strategic Scalers have both. Nearly three-quarters of achieving immediate value through targeted them (71%) say they have a clearly-defined strategy and operating use-cases in each of the key areas of the business. model for scaling AI in place, while only half of the companies in Proof In addition to architecting and standing up the of Concept report the same. new scalable data and analytics delivery model, they created a model to make data search easier Strategic Scalers are also far more likely to have defined processes and more intuitive and embedded a new data- and owners with clear accountability and established leadership driven culture within the organization. support with dedicated AI champions. Initiatives not firmly grounded in business strategy and lacking a governance construct to oversee The result? The company’s digital and manage are slower to progress. Turf wars break out over who transformation is speeding ahead, powered by “owns” AI and data. And, regardless of the AI platforms used, or the data analytics insights across its business. know-how recruited, misaligned efforts fall flat. AI: BUILT TO SCALE 10