We all want our models to be as accurate as possible. While you can’t control every factor that interferes with accuracy, there are two types of
Machine learning (ML) and marketing operations go hand in hand. But are you confident you have all the data you need to support your marketing automation
You’ve built your model, you’ve located your data sources, and you’ve done all the initial processing and ETL to get your data how you want it.
It’s getting crowded in fintech. That’s not a new revelation or anything, but it’s a trend that’s had a lot of serious consequences — especially as
ECommerce is no stranger to data. Brands that sell online rely heavily on data for targeting customers, creating unique offerings, and setting themselves apart from the
2020 is almost over, and we’re already fully looking forward to 2021. Even so, we can’t help but take one last look at the year that
2020’s been a crazy year, but even with (or, should we say, because of) all the insanity, data science has had a whirlwind 12 months. The
Another year gone, and another round of retrospectives and looking back at what was and is coming. Data science had quite the 2020, but like most
2020 felt like a rollercoaster at the best of times and a highway with no exits at others. However, it’s no secret (or surprise) that the
