At the AI Summit in London, panel members discussed the difficulties businesses encounter in moving AI projects beyond proof-of-concept stages, revealing that 80% of these projects do not transition to production. Challenges stem from integrating new AI technology with existing IT systems and dealing with technical debt. Experts highlighted that large organizations, including government entities aiming for AI-enablement, face increased complexity. Moreover, high-quality data availability is critical for effective AI implementation, but often constrained by outdated infrastructure capabilities.
"The bigger the company, the more the technical debt and the more the complexity."
"Infrastructure is the thing that unlocks the keys of the Kingdom, in a way. You then have something that is a backbone and it's modular and interoperable."
Collection
[
|
...
]