Hi ,
Do you reinvent the wheel on every data science project you touch?
That inconsistency might be costing you more than just time.
Because if your approach varies wildly on everything you do, how can you guarantee consistency of the results?
And what does that suggest to your stakeholders about your ability to do your job?
Regardless of the field, frameworks are the hallmarks of an expert because with consistency of process comes consistency of results. This, in turn, signals your expertise to your stakeholders.
In the words of Blair Enns in The Four Conversations:
"Rather than 'winging it', (experts) use tools and
methodologies that communicate to the client that we are prepared and practiced. We have done this before. We know what information we need to gather..., what questions to ask."
So, if you're trying to increase your impact in a business, establishing yourself as an expert is definitely the right way to go.
And in today's AI landscape, the stakes have never been higher. With new models being released weekly, those who can systematically evaluate and implement these technologies aren't just saving time - they're becoming the go-to AI experts within their organisations and reaping the benefits, in terms of opportunities and business impact.
Developing a structured framework for AI evaluation isn't just a technical skill - it's your ticket to the decision-making table.
But if you've never developed an evaluation framework before, the process can seem daunting. Where do you even begin?
Which metrics actually matter?
And how do you allow for competing business priorities?
In the new (9 minute) Value Boost from Value Driven Data Science, technology leader Andrei Oprisan joins me to answer those questions and more.
This episode reveals:
- How to build a systematic framework for evaluating AI models.
- The key metrics that help you compare different models objectively.
- Why understanding speed-cost-accuracy tradeoffs gives you an edge.
- How this approach gets
you "in the room where it happens" for key AI decisions.
You can find it on Apple Podcasts and Spotify, or by clicking the link below.
Episode 59: How Data Scientists Can Get in the AI Room Where It Happens
Listen now and start your journey to AI strategic partner today.
Talk again soon,
Dr Genevieve Hayes.
