Hear me out... this comparison may seem strange at first.😉

Picture this. You’re standing in the heart of a très belle French kitchen. Everything around you screams 3-star Michelin potential. State-of-the-art cookware, marble countertops, and an oven so advanced it practically kisses the chef itself.
Et voilà, before you lies only the most premium ingredients: finely milled almond flour, powdered sugar, aged egg whites, and chocolates sourced from master chocolatiers.
There’s also an arc-en-ciel of vibrant fruits, aromatic spices, and rare flavorings.
Dressed in a master chef’s apron of French linen with elegant leather accents, you certainly look the part.
But here’s the catch.
You don’t have a recipe. Even worse, you’ve never even heard of macarons. You have no clue how they should taste, look, or come together.
And yet, you’re expected to create world-class macarons on your first try because, hey, you’ve got everything you need… right?
>> How This Relates to Generative AI Adoption...
This scenario mirrors what I've seen the challenges to be that organizations face when adopting generative AI. You can give your team access to the most advanced tools available, but without:
• A clear recipe for success,
• A vision of what success even looks like, and
• The training to bring it all together,
you’re setting them up for a frustrating (and likely messy, failed) experience.
The fact is, having the most capable AI tools means nothing without the knowledge and skills to use them effectively.
Just as a you wouldn't dare dream of trying of trying to whip up a perfect macaron without a recipe (especially if a French person (aka my husband) is judging it!), your team can’t be expected to harness the power of generative AI without the prep work.
And this becomes even more critical to consider as the models grow increasingly capable, amplifying both their potential and the complexity of using them effectively.
The only social media channel you'll find me active is LinkedIn, connect with me there.
Comentarios