Blog

Is your site Darwinian?

Every website changes. Whole industries learn better ways to message their products, color schemes fall out of favor, and entire design schemas are replaced by smarter ones. After all, we’re only two decades removed from a time when this was the hottest thing online. Take a quick trip to the Wayback Machine and you’ll see…

Why do you keep wasting your conversion improvement ideas?

There are plenty of reasons the best conversion optimization ideas don’t get implemented. Sometimes, it’s because there just isn’t enough traffic to test them all. Sometimes, it’s because you can’t get the boss to buy into trying something new. Sometimes, tests win but implementing them is more trouble than the small gains you’d get. But…

Busted: 5 conversion myths

If you’ve done any conversion rate optimization in the past, you probably know better than to make assumptions. It’s hard to tell what moves the needle. Ideas you’re really excited about often fail and small tweaks can sometimes make a big difference. It’s also true that every audience is unique. The assumptions most sites make…

Sentient Announces Leading Brands Making the Move from A/B to A.I.

Companies using Sentient Ascend include The Cellular Connection, Cosabella and ABUV Media; all report significant conversion gains up to 100x faster than existing A/B and multivariate solutions SAN FRANCISCO, Calif. – March 20, 2017 – Sentient Technologies, the world leader in distributed artificial intelligence (AI), today announced that Sentient Ascend, its AI-powered conversion rate optimization…

Introducing New AI Technologies That Make Images Instantly Shoppable, and Buying on Mobile Personal and Intuitive

At Sentient, we believe that every retail problem is an AI problem. And while our Intelligent Commerce solutions solve some of the biggest issues facing retailers today, they don’t yet solve every problem. We’ve been listening to our customers to discover what their most pressing challenges are and two things keep coming up time and…

New Paper: Evolving Deep Neural Networks

Training neural networks is time-consuming and difficult. Generally, it involves multiple PhDs tweaking the network over time, testing and retesting, adjusting the architecture and parameters, and, hopefully, ending up with a network that understands its inputs and makes accurate judgments. And as we ask neural networks to do more and complex tasks, they themselves are…