As artificial intelligence algorithms infiltrate the enterprise, organizational learning matters as much as machine learning. How should smart management teams maximize the economic value of smarter systems?
AI Won’t Change Companies Without Great UX
As with the adoption of all technology, user experience trumps technical refinements. Many organizations implementing AI initiatives are making a mistake by focusing on smarter algorithms over compelling use cases. Use cases where people’s jobs become simpler and more productive are essential to AI workplace adoption. Focusing on clearer, crisper use cases means better and more productive relationships between machines and humans. This article offers five use case categories — assistant, guide, consultant, colleague, boss — that emerge when companies use AI-empowered people and processes over autonomous systems. Each describes how intelligent entities work together to get the job done — and how, depending on the process, AI makes the human element matter even more.