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Showing posts with label Zylotech. Show all posts
Showing posts with label Zylotech. Show all posts

Monday, February 18, 2019

eBook on AutoML

 AI can enable marketers to deliver on those expectations because it can anticipate not just what customers would want to hear about but when and how they’d want to receive that communication. “With AI, such personalization can now be achieved with previously unimaginable precision and at vast scale,” insists H. James Wilson and Paul R. Daugherty. The company that does that for music is Pandora. Delivering personalized music selections involves “billions of data points that are tracked across dozens of systems, including media servers, device clients, and ad servers.” To keep all that running smoothly, it needs to detect and address anomalies as they occur. It’s a tall order that is answered with an ML system with the capability to do just that in near real-time, something Pandora will also draw on in assuring its ads are performing as expected.

Read more in my eBook: 2019: the year AutoML takes off

Friday, February 1, 2019

The essential partnership: CIO and CMO

As Henry David Thoreau said, "If you have built castles in the air, your work need not be lost; that is where they should be. Now put the foundations under them.” The partnership allows the CMO to plan the castles in the air and work with the CIO to set up their foundations.

Monday, May 29, 2017

Getting insight on all the channels with AI

Marketers have access to more data on their customers than ever before. The challenge is getting rapid insights from all the channels used, in time to act effectively. One solution is an  AI-powered customer retargeting platform for omni-channel marketing operations. Abhi Yadav, ZyloTech's  co-founder and CEO, spoke to me about the function of AI in omni-channel marketing.
ZyloTech, formerly DataXylo, launched in 2014 as an MIT spin off. Its advisory teams includes PhDs in AI, data scientists, and other marketing experts from the university. The platform uses machine learning to analyze all customer data continuously, and in near real time, for actionable insights on omnichannel marketing.
In the current environment, marketers really have “no way of knowing whether the individual” targeted by the ad “is a new, lost, inactive, loyal or brand-conscious customer,”  says Yadav.