AI Adoption Requires Long-Term, Enterprise-Wide Efforts Beyond Just the Technology

Historically, new technologies arrive in clusters and require related innovations to be fully adopted (e.g. electricity required generators, wiring, etc).

AI has great potential but also faces challenges around data quality, organizational capabilities, and societal acceptance.

Success with AI requires senior leadership commitment and concerted efforts beyond just the technology itself.

Companies should focus on improving data quality, small data projects, proprietary data sources, and change management capabilities.

Putting AI to work at scale is difficult and requires persistent, long-term efforts across technology, data, organization, and society.