AI is moving faster than ever. AI techniques should bring adaptability to an uncertain world in constant flux. However, despite its extraordinary power and early promises, AI has not been leveraged to its full potential. What is missing? Where did we go wrong? Join us as we discuss our ambition for the future of AI and AI should do for us to deliver the value that we are expecting.

AI agents are permeating applications and systems across organizations. Their flexibility is valuable in unpredictable environments where real-time monitoring and control aren’t practical. However, their adaptive strength comes with nondeterministic weaknesses. Increased autonomy and complexities in multiagent systems, compounded by GenAI models, dangerously raise uncertainty, prompting the question: are multiagent systems worth it?

AI agents are becoming a critical AI trend as they enable levels of business adaptability, flexibility and agility that can’t be achieved with traditional AI systems trained for a specific task. Their flexibility is valuable in unpredictable operating environments and real-time monitoring and control aren’t practical. Autonomous behaviors have significant societal, legal and ethical implications, but are the answer to the increasing complexity paralyzing our enterprise systems.