Executives are more focused than ever on implementing GenAI tools, but aren't always focused on the right things. Does anyone have any advice on how to keep execs focused on the things that matter when it comes to GenAI?

Question

Answer

Good question and observation. While no one wants to get left behind, it's important to establish policies and governance around AI before embarking on implementation.

Answer

Business/Digital transformation will continue to disrupt the industry and workplace. Embracing change to adopt to the changes is part of the agile culture. However, careful planning to address cost and value both externally and internally to the organization should be a focus point.

Answer

As executives, we must ensure that our organizations have policies on how to use AI within the organization. There are still a lot of concerns about intellectual property privacy since AI is pulling information across many sources on the Internet to give you a response, and the copyright laws concerning AI are unclear. Since so much is still unknown, we, as executives, must implement the right guiding framework for our organization. I've spoken to many peers who are putting a temporary pause on AI use altogether at their org while they work to understand its complexities.

Next, executives should evaluate where opportunities for automation lie. Think of the best strategic way to use Gen AI to deliver value to your business. Ask yourself, how do I automate repetitive steps, or what tasks take a lot of time and work?

Lastly, don’t be afraid to try and encourage innovation. We’ve been using Gen AI in the supply chain space for quite some time, whether for predictive analysis, data accuracy, etc., so think about where the best place is to leverage Gen AI to suit your business needs. AI is not going away; we just have to figure out the right way to leverage it to best suit our business needs.

Answer

GQ. When executives are eager to implement advanced AI tools like GenAI/conversationalAI , it's vital to guide their focus. To keep them on track, emphasize setting clear objectives, connecting AI to business impact, and aligning it with the overall strategy, Stress the importance of data quality, user adoption, ethics, and privacy. I suggest them to start with pilot projects, measure results, and stay updated on the evolving AI landscape.

Executives are more focused than ever on implementing GenAI tools, but aren't always focused on the right things. Does anyone have any advice on how to keep execs focused on the things that matter when it comes to GenAI?

Content you might like

Who will WIN Generative AI Future (GPT/ChatGPT)?

If you had a magic wand - what's the #1 daily business challenge you'd eliminate?

What do you think the supply chain will be or look like in the next 10+ years? (Practitioners, Strategies, Networks, Tech & Tools, etc.)

Which resources will you prioritize with your business partners to enhance your "Supply Chain Ecosystem"?

Have you been able to use AI to automate any of your IBP or SNOP processes and if so, where has it been most effective?