PodChats for FutureCIO: Reducing the time to action with autonomous AI agents

Digital transformation, automation, and artificial intelligence are all connected through their shared goal of optimizing business processes and decision-making capabilities. Together, they have the potential to bring about significant advancements that were once considered unattainable.Add to all this development, the notion of autonomy in AI and what do we have? A technology that can act without human intervention, input or supervision. In this PodChats for FutureCIO, we are joined by Greg Statton, Sr. director of AI solutions, Office of the CTO – Data and AI, Cohesity who will guide us in our discussion on autonomous AI agents and the value these bring to the enterprise.1.       What is an enterprise autonomous AI agent? (emphasis on enterprise)a.       How is it different from generative AI and retrieval-augmented generation?2.       What are the benefits of autonomous AI agents?a.       How does it change the workflow for functions that can use the technology?3.       How will autonomous AI agents interact with humans? a.       How do you see humans collaborating with autonomous AI agents?4.       What are the risks that come with autonomous intelligence?5.       How do organisations and their CIO/IT teams ready their technology stack and data for being compatible or ripe for the deployments of autonomous AI agents?6.       When an organisation decides it wants to introduce autonomous AI as part of its workflow, who is in charge and what skillsets does the person need?7.       What are some use cases autonomous AI agents today, and how might this progress in 2024?8.       As CIO/CDO, how do I budget for autonomous AI agents?

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