Future-Proofing AI Value
Edosa Odaro · Auerbach Publications eBooks · 2025
Just as generative AI caught many organizations off guard despite years of warning signs, a rapidly changing landscape means that AI implementations planned today will likely look dramatically different by the time they are fully deployed. How can this uncertainty best be navigated? Future-proofing isn&s;t about predicting what&s;s coming, it is about building systems flexible enough to adapt when the inevitable change arrives. This chapter will include practical frameworks, real-world use cases, and actionable strategies to help organizations stay ahead of the curve, for example, through adaptable technical and organizational foundations, strategies for navigating evolving ethical and regulatory challenges, and approaches to balancing innovation with stability.