- Leading retail brands such as TOMS, Ann Taylor, Sur La Table, Godiva and Destination XL rely on Reflektion’s AI solutions to combine individual shopper insights, product intelligence, and deep learning to create impactful ecommerce experiences that translate to double-digit increases in key metrics such as conversion rate and average order value.
- This 2017 recognition from CB Insights builds upon Reflektion’s momentum in the ecommerce space. In 2016, the company was named a Gartner Cool Vendor in Digital Commerce Marketing, and in 2015 it won Shop.org’s Digital Commerce Startup of the Year award.
- “First Inflection: Build-Versus-Buy Gap Grows To A Chasm
- Second Inflection: AI Becomes Table Stakes For Customer-Focused Organizations
- Third Inflection: AI Super-Charges Sales Channels”
|Image credit: wired.com|
- “To ascend to future dominance, Baidu needs to find a new way to grow—and fast. Fortunately, the world has provided Li with just such an opportunity: “the era of artificial intelligence,” he tells me. Li is betting Baidu’s future on the promise that he can own the future of artificial intelligence, in Asia and beyond.
- Like America’s Big Five, Baidu has substantial computing brawn, a suite of AI-powered services called Baidu Brain, and a fast-improving voice assistant platform called DuerOS.
- Baidu’s biggest advantage is one of place and time. Li is introducing his strategy within a culture that has few ethical hang-ups around AI development. In the West, where people are concerned about the biases with which we program our algorithms and the speed at which they’ll disrupt traditional career paths, new technology emerges more slowly. In China, it’s the reverse: There’s public pressure for companies to move as fast as possible. In July, the Chinese government issued a development plan that aims to make it the world leader in AI by 2030.”
- Read Full Post
|Image credit: adweek.com|
“I hear you’ve been testing AI-powered vending machines.
- We’ve also looked at some forms of AI in terms of optimizing how our vending machines are placed and where they’re placed to ensure we’re meeting consumer demand based off of patterns and things of that nature. I would say it’s been a lot of trial. The Coke On app has been incredibly successful; it’s approaching 6 million downloads. People are using it with great frequency.
You’ve also been experimenting with chatbots. How are they doing?
- It’s very much still in its infancy. What we were trying to explore was [how to] effectively use chatbots in serving scenarios. We know that consumers find there is great convenience in being able to find quick answers or to address thoughts that they have. So we’ve tested a little bit in that space (such as using chatbots in the vending machines), but haven’t gone as far as creating highly brand-centric chatbots. We think there’s a lot still to play out there. Frankly, we’re already focused on the voice element.”
|Photo by Chip Somodevilla/Getty Images|
- “Tencent’s new “2017 Global AI Talent White Paper” suggests the bottleneck here is education. It estimates that 200,000 of the 300,000 active researchers are already employed in various industries (not just tech), while the remaining 100,000 are still studying. Attendance in machine learning and AI courses has skyrocketed in recent years, as has enrollment in online courses, but there is obviously a lag as individuals complete their education.”