At EY, we spend a lot of time exploring the different applications and usage patterns of #GenAI across our business. And you can't do this without engaging in the topic of Agentic Workflows. But what are the different characteristics that #AI Agents can take on across the organization? In the attached article, my friend Sinclair Schuller and I explore the different characteristics of an AI agent, and what organizations can do to prepare themselves for autonomous at scale. https://lnkd.in/eU8TajYZ
The new economics and limitless options of being able to take on any cognitive task without constraints. It's coming
Building Nurish - Nurish Helps Us Manage Our Nutrition Better | Former Gartner Chief of Research | AI & GenAI
2wGood points. The two that stand out for me: - Importance of addressing 'tacit' knowledge: I had not thought of this before, and this is a key insight. If agents can help us extract and encode tacit knowledge, that can be another big improvement over RPA and BPM. - Authorization and Messaging: Agents will these enablers to do their thing, but with the right controls.