- While a majority of organizations are actively using AI, most report little to no benefits, or inefficiencies that undermine its effectiveness.
- Determining what type of LLM (large language model) and level of complexity for tasks can help organizations invest in adequate resources to optimize and maximize AI’s potential.
- To best serve an organization, an AI model must be designed to scale, adapt, and learn across all silos of your business.
As discussions of AI continue to increase across industries due to its promise of increased productivity and unlocked new revenue opportunities, the potential applications of AI appear limitless. Yet, despite the widespread buzz, a significant disconnect remains between AI investment and its real‑world impact.
While many organizations see the opportunity, far fewer succeed in deploying AI in a way that actually delivers sustained value. This gap highlights the need for a more disciplined, evidence‑based approach to deciding when and how to use AI.
In a discussion hosted by the Detroit Regional Chamber, Thomas Hancock, a cognitive scientist, AI innovator, and Senior Manager of AI LLM Technology Architecture at Accenture, spoke on how organizations can move beyond hype and toward real impact.
Watch the full event recording below.