why-you-should-care-about-data-drift 
Dataiku
NOVEMBER 23, 2021
Data drift is more important than ever. The COVID-19 health crisis has brutally reminded us that, to paraphrase French chemist Antoine Lavoisier: nothing is lost, nothing is created, everything is transformed. In a context marked by multiple and repetitive lockdowns around the world, online commerce has exploded faster than expected.
DataRobot
JUNE 29, 2021
Why do I think this? Machine learning models trained on 2019 data didn’t know what to do. Imagine trying to forecast the demand for Clorox wipes back in January 2020 when all you have to go on is quantity sold in the last month or in the same period last year. You would need a team of thousands. Good luck with that.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Smart Data Collective
JANUARY 5, 2021
We recently talked about the benefits of using big data in marketing. We even discussed some tools that leverage big data to get more value out of marketing strategies. These are all great reasons to use big data in marketing. But for accurate modeling, you need lots of reliable data.
Occam's Razor
JUNE 4, 2018
It is 2018—why are there still light gray below-the-fold add to cart buttons? You could win bigger by cultivating higher more profitable direct relationships, especially when the old world order of commerce is collapsing all around you. I do get excited about this stuff. Do two things, they’ll bring you to your knees: 1.
Occam's Razor
JULY 6, 2016
Analysts, honestly, make the world go round when it comes to any successful business – yes, data is that important. As you might expect from any role, they also make a handful of important mistakes. I've written about the biggest mistake web analysts make. Try them yourself as if you were the actual user.
DataKitchen
NOVEMBER 18, 2021
For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail. Add all these facts together, and it paints a picture that something is amiss in the data world. . The top-line result was that 97% of data engineers are feeling burnout. .
O'Reilly on Data
JULY 25, 2023
If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. Or even if you haven’t yet, then you’ve at least heard about these tools in your newsfeed over the past year. And ChatGPT didn’t warn me about this.
Expert insights. Personalized for you.
59 
Let's personalize your content