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| 1 minute read

How do you fancy AI as a team mate?

In September 2021 I asked the question ‘If your company was compared to a football team where would the data scientists play? ’.   I included a picture of Ronaldo (a legendary football / soccer striker for non fans) and concluded that data science and the clever algorithms are important but in fact domain expertise is still key.  Effectively your team won't work on just algorithms alone!

2 years on and data science has come a long way.  We need to constantly review the team we have around us to ensure we have the right balance of skills and tools to succeed.   The introduction of generative AI into general consumption is pushing the boundaries, in a really exciting way, due to the rapid pace of change and future potential.   

The article below gives an interesting viewpoint around “How AI Can Help Leaders Make Better Decisions Under Pressure”  and highlights 4 key imperatives for businesses to consider.  In the supply chain assurance programs services that we provide and our customers run we see these same themes coming through:

  1. Be domain-specific - what exactly are the objectives and supply chain decisions are you trying to make in your 
  2. Pay attention to the experience curve
  3. Maintain expertise currency
  4. Ask the right questions…in the right way

I love the quote, below, from the article and couldn't agree more that we need to consider how artificial intelligence can augment the expertise in our team, i.e. be part of our team and even help to train each of our own next generation of leaders.

I could probably have used some AI tool to summarize the article for you but I'd still recommend a traditional read of this interesting HBR review to keep your brain cells alive……..

If used properly, generative AI could function as a really good teammate, in the same way that I might want to talk through a problem with my colleagues even though I think I already have the solution. It also potentially has a long organizational memory, which is useful for people who may be relatively new to an organization and want to find out how issues were handled previously.


english, data science, generative ai, workforce skills, do data better, business leaders