This week one thing became abundantly clear, and it has to do with what usually goes unseen.
I’m talking about what’s “under the hood” when it comes to how we work with data for the wine industry. I’m talking about the mechanics and the HOW things get done, that normally don’t get much of the attention.
Except they should. Because that’s the engine that’s driving this whole endeavor.
Things like programming in languages like Python, and storing data in cloud-based data lakes, and the automated processing of data (including the use of machine learning), all in service to accuracy and speed.
Here’s another way to say it: The front end of what we do is still very educational and user-friendly, but the engine behind it has been revved up exponentially.
Google, Microsoft and many other companies are pouring billions of dollars into the development of new intelligent technologies, and we’re early adopters of many of their platforms. Which means that our clients can forego the investment internally and leave the data management in the hands of people who do it all day, every day.
That isn’t me, by the way. I’ve written candidly before about how I don’t get things like machine learning, either, and gladly leave it to the pros on my team. But I do get the results of their work, and what those results mean for our clients.
Maybe you’re in the same boat. Or maybe knowing the ins-and-outs of Python and cloud-based data lakes rocks your world. Either way, we all want to know how all of this engineering can help our business.
Let’s talk about it. Drop me a line, and let’s see what we can do together.
Thank you, as always, for reading and for your feedback.