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?

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CIO in Government, 5,001 - 10,000 employees
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. 
CIO in Government, 5,001 - 10,000 employees
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. 
Chief Information Officer in Manufacturing, 1,001 - 5,000 employees
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.
MarTech & Enterprise Architecture Expert | Technology Leader | PhD Candidate in AI in MarTech | IEEE System Council Member, Self-employed
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. 

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CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.
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Data information (visibility) End-to-End the supply chain100%

Talent sharing16%

Sustainability expertise and knowledge50%

Manufacturing and industrial assets0%

QHSE Expertise0%

IBP/S&OP related information and decision16%

IT tools16%

New Product Introduction information50%

Opportunity for Raw Material circular economy50%

Training materials and training opportunity50%


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