Is your enterprise adaptive to AI?
Presented by EdgeVerve
For most enterprises, AI adoption began with a straightforward ambition: automate work faster, cheaper, and at scale. Chatbots replaced basic service requests, machine‑learning models optimized forecasts, and analytics dashboards promised sharper insights. Yet many organizations are now discovering that deploying individual AI solutions does not automatically translate into enterprise‑level impact. Pilots proliferate, but value plateaus.
The next phase of AI maturity is no longer about deploying more models. It is about adapting AI continuously to changing business objectives, regulatory expectations, operating conditions, and customer contexts. This shift is particularly critical for complex, globally distributed organizations such as Global Business Services (GBS), where outcomes depend on orchestrating work across functions, regions, systems, and stakeholders.
From automation to adaptation
AI can no longer be treated as a standalone tool to accelerate discrete tasks. To remain competitive, enterprises must move from isolated, single‑purpose models toward systems that can sense context,...
Copyright of this story solely belongs to venturebeat.com. To see the full text click HERE
