During the Fortune Brainstorm Tech dinner at CES in Las Vegas, technology executives discussed the integration of agentic AI in the corporate world, emphasizing the need for a fundamental shift in how organizations approach this technology. The panel focused on AI-driven change management and the critical role humans must continue to play as agentic AI becomes more prevalent.
Bill Briggs, CTO of Deloitte, cautioned against simply applying existing practices to AI implementation. He stated that while AI has shown value in specific areas, organizations must challenge their established approaches and redefine desired outcomes when integrating AI. "With any technology adoption, it's tempting to take the things we've always done and see how we can do it a little bit differently and a little bit better," Briggs said. "What we've found with AI is, that's a trap." He emphasized the importance of fundamentally challenging the desired outcomes and working backward from there.
Hari Bala, CTO of Health Information Systems, stressed the importance of designing AI systems with the understanding that failures will occur. This proactive approach to potential issues is crucial for responsible AI deployment.
Agentic AI refers to AI systems that can operate autonomously, making decisions and taking actions without explicit human instruction for every step. This contrasts with traditional AI, which typically requires human oversight and intervention. The rise of agentic AI presents both opportunities and challenges for businesses. While it can automate tasks, improve efficiency, and drive innovation, it also requires careful planning, ethical considerations, and a workforce prepared to collaborate with these advanced systems.
The discussions at the Fortune Brainstorm Tech dinner highlight a growing awareness of the transformative potential of AI and the need for organizations to adopt a strategic and thoughtful approach to its implementation. Experts agree that companies must invest in training, develop clear ethical guidelines, and foster a culture of collaboration between humans and AI to fully realize the benefits of this technology while mitigating potential risks. The consensus was that a failure to adapt and rethink traditional processes could lead to significant setbacks in the adoption and effective use of agentic AI.
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