In Andreas Welsch’s article, the focus is on shifting conversations about AI from general use cases to how it can deliver real business value. By aligning AI with specific business goals, leaders can ensure that AI has a meaningful impact and drives tangible results.
Copyright: intelligencebriefing.substack.com – “5 Steps To Discussing AI Business Value When Leaders Want Fast Results”
A few weeks ago, I met with a prospect. After the initial small talk, the executive quickly changed the subject to discussing use cases for AI—a sure way to end up in a dead end. Why? Because where you can use AI in a business (and what you can use it for) is pretty limitless.
Sure, you can go down the list of capabilities (generation, summarization, translation, …), but it will rarely lead to a fruitful outcome if you leave it there.
I tried pivoting to business value and understanding where the challenges lie in the business. But we kept coming back to broad, abstract topics.
The Daily Challenge of AI Leaders and Consultants
The other day, I caught up with a trusted leader in my network who had also worked with dozens of leaders during the previous machine learning hype. What he shared got me thinking:
“When we told our customers that we need to approach AI as a business topic, take stock of the system and data landscape, interview stakeholders, and identify common pain points, they told us to just give them the top three use cases for AI.”
It felt like a deja-vu. Just like the meeting I had the other week. In my experience, business leaders looking for shortcuts is a big reason why AI projects don’t go beyond a proof of concept.[…]
Read more: www.intelligencebriefing.substack.com
Der Beitrag 5 Steps To Discussing AI Business Value When Leaders Want Fast Results erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.