This encourages and enables individuals to work and learn across different job functions more easily, and we have really leaned into this as we create a framework that will be applied across the entire company.ĭetermining your path toward generative AI adoption does not just live with one department-whether that’s IT, risk & compliance, or innovation. Instead, their structures are flexible and adaptable to enable collaboration.

Our research shows that high-performing, digitally enabled organizations are already moving away from hierarchical organizational structures. Assign a multidisciplinary team to prioritize and communicate This has led to more informed decision-making as well as better knowledge of the tools being used by our team to know which ones are adding the most value.Ģ.

We now have a taskforce that acts as the collection point for all of our uses of generative AI, making sure the lessons learned from them are being routed into one location. Our biggest initial to-do was getting a handle on how employees are using generative AI, determining what the “acceptable” and “too-risky” uses are, and finding a balance between efficient adoption and proper vetting. Not only is this risky-siloed employees may not be considering the risk and liability being introduced to the company-but also inefficient, since there are bound to be redundancies. However, issues can arise when this excitement leads to a scenario where employees in various departments are using generative AI tools with no coordination and little-to-no oversight. Employees are excited about the potential implications this will have on productivity and efficiency. The sooner a company starts developing a framework for adopting generative AI, the sooner the use cases can be rolled out and start showing ROI. Don’t wait to start experimenting with generative AI The question is, how do you find the right balance for your business? Here are the lessons we’ve learned so far from our approach.ġ. The bottom line: The companies that strike the right balance of risk and innovation when adopting generative AI will win.

As business leaders seek to quickly adopt ChatGPT and other products like it, they are shuffling through dozens, if not hundreds, of use cases being proposed. Generative AI products like ChatGPT have introduced a new era of competition to almost every industry.

Yovanovitch lessons from the edge