Hi ,
People don't go to McDonald's to be served French cuisine.
They go there to order burgers and fries. Anything more sophisticated would be unwanted.
But what if you're a chef trained in the prepation of French cuisine and cooking such meals is how you add value?
For starters, you wouldn't apply for work as a fry cook at your local Macca's.
Here's the thing...
Many people go into data science because they want to build cutting-edge AI models. Yet, most business problems don't require cutting-edge AI solutions.
And in data science, the business problem should always determine the modelling solution, never the other way
around.
Nevertheless, every business has a range of problems they're interested in solving and some of those problems are best solved using specialist AI.
Data science is an
in-demand skill and specialist data science skills, such as NLP or computer vision, are even more so.
But not every data science problem requires a computer vision expert.
Data
scientists with specialist skills have the potential to add value in ways most other people can't imagine. But this requires matching those skills to businesses with problems that are best solved by making use of them.
Anything else is a waste of value.
Escargot and souffle are highly valued by customers of French restaurants, as are the chefs who can prepare these dishes. But that doesn't mean McDonald's customers want to order escargot along with their Big Mac.
Talk again soon,
Dr Genevieve Hayes.
