"Paul Dongha emphasized that agentic AI challenges traditional governance assumptions. As AI systems become more autonomous, risks such as runaway costs, data leakage, and reputational damage increase significantly."
"Matan-Paul Shetrit highlighted that the main challenge is not merely deploying more agents but ensuring that intelligence compounds across them. He discussed the necessity of critical context for AI systems to function effectively."
Enterprise AI is moving from experimentation to execution, introducing challenges in governance, scaling, and measuring business impact. Six sessions from the Agentic AI Summit feature leaders from companies like NatWest and Cognizant discussing AI deployment and management in real environments. Key topics include the need for new governance frameworks as AI systems gain autonomy, the importance of context in AI decision-making, and strategies for scaling AI systems effectively within organizations. Access to these insights is available through a new Business AI Newsletter.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]