As organizations venture deeper into AI, transitioning from uncoordinated efforts to deliberate practices becomes essential. Companies like Walgreens emphasize creating AI Centers of Enablement (COE) to unify efforts, ensuring AI initiatives align with business objectives. This structured approach balances innovation with accountability, fostering an environment where AI supports business goals without compromising safety.
Moreover, success in AI isn’t solely defined by financial metrics. For nonprofits like FMOL Health, factors such as physician and patient engagement are crucial. By measuring the impact of AI tools on clinician workload and patient satisfaction, organizations can justify investments and demonstrate AI’s value. Similar strategies at Steelcase focus on sustainability and employee experience, illustrating that holistic evaluations extend beyond profitability.
Trust and governance are paramount, particularly in sensitive sectors like healthcare. Trust requires robust oversight and ethical considerations, with teams embedding governance throughout AI development. Companies are encouraged to democratize AI, enabling employees to leverage their insights for broader organizational use, effectively amplifying human capabilities while maintaining control.
👉 Pročitaj original: CIO Magazine
