Scaling AI: From Experimentation to Transformation
summary
Thousands surveyed show the bottleneck is people and adoption not models or missing data: organizations spend millions over a decade but still have “more pilots than Lufthansa has pilots” and few projects fail for tech. Value comes from three coordinated things — value realization, intelligent platform, talent and change — and success means embedding domain users across the org, running short observation hackathons to watch real users, building usable data marketplaces, and teaching data literacy at scale.
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chapters (5)
- 0:00Start
- 4:05To drive business value with data and Al, we need to focus on the right areas
- 8:21Talent to Run a Data Led Organization It is imperative to have the right talent and talent strategy in place to continuously realize value and build upon the data led enterprise's capabilities
- 9:30Defining a Data Driven Talent Strategy Given a transition to a data led enterprise, the talent strategy in place needs to assess the current talent pool, visualize the skills needed in the future, and work towards that
- 11:39To drive adoption @ scale Examples of business adoption to engage employees and ingrain analytics in your culture and decision making
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