Relying entirely on consultants or vendors is not a viable strategy - as AI adoption inherently involves new capabilities to be built up within the company, both technical and non-technical. The only reason a company would put AI technical development and implementation entirely in the hands of a vendor is ignorance of how AI works.
Whether you’re an enterprise professional interested in growing your career in AI skills or a business leader trying to understand the first steps to build an early adoption team at your organization, this article provides essential criteria for a team of seven core non-technical roles key to driving successful enterprise AI deployments:
AI Opportunity Spotter
Functional Subject Matter Expert
AI Project Manager
AI Training Orchestrator
We will begin by explaining how these roles develop within organizations from non-technical contexts. In other words, these are typically leaders and other su...
You've landed on exclusive content for Emerj Plus Members
Emerj Plus Membership
Consistent coverage of emerging AI capabilities across sectors.
Exclusive AI Capabilities Matrix
An explorable, visual map of AI applications across sectors.
Exclusive AI White Paper Library
Every Emerj online AI resource downloadable in one-click
Best Practices and executive guides
Generate AI ROI with frameworks and guides to AI application