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Thanks to Machine Learning, Adobe Analytics Won't Be the Same

Written by Ashley Sams | Sep 27, 2018 2:44:00 PM

At the Marketing AI Institute, we read dozens of articles on artificial intelligence every week to uncover the most valuable ones for our subscribers and we curate them for you here. We call it 3 Links in 3 Minutes. Enjoy!

Adobe Sensei’s New Trick

Adobe’s new “virtual assistant” claims to answer questions you didn’t even know you had, according to CNBC.


The AI technology, which has been in development for the last three years, is able to identify trends in web traffic and similar data. What’s unique about this use of AI in analytics is that crowdsources insights based on how other users are using it.


“You're only as smart or as brilliant as, sort of, the questions that you ask of your data and these alerts that you create," says John Bates, director of product management for Adobe Analytics.


One interesting discovery the tool made during testing was that an Adobe customer’s competitor was actually stealing content from their website and passing it off as their own.


The crowdsourcing element is one of the most unique parts of the technology. The other is its ability to tailor insights to a company’s specific needs. As it generates insights, users can “like” or “dislike” them, teaching the tool. With this, the tool’s value will grow every day it’s used.

Google DeepMind Co-Founder’s Thoughts on AI

Google DeepMind’s co-founder Demis Hassabis spoke on the impact he believes artificial intelligence will have in the coming years at the Economist Innovation Summit. According to TechRepublic, there are three things Hassabis believes to be true.


“AI will save us from ourselves.” Hassabis believes we’re not making much progress on the major issues facing the world like climate change and sustainability. He believes an exponential improvement in technology, however, could offset the worst effects of human selfishness and save us.


“AI will lead to Nobel Prize-winning scientific breakthroughs.” Hassabis is confident that AI’s ability to optimize complex tasks will accelerate scientific discoveries. One of the areas Hassabis thinks will see the most profound breakthroughs in is material design.


“Deep learning is not enough to crack general AI.” Deep-learning systems have driven many of the most recent breakthroughs. However, to get to general intelligence, where machines can reason like humans, new technologies will need to be developed.

5 AI Marketing Tools Every Brand Should Know About

Our friends over at Phrasee recently published an awesome article on the five AI tools all marketing brands should check out. Here are a few we’ve tried ourselves and love.


PaveAI turns your Google Analytics data into actionable insight using artificial intelligence. In fact, its algorithms comb through more than 16 million possible combinations to produce data-driven reports. We recommend trying this tool to improve your brand’s marketing strategy efficiency. Learn more about PaveAI here.


Klevu is an AI-powered e-commerce solution designed to drive more revenue for mid-level and enterprise-level online retailers through enhanced accuracy and merchandising capabilities. Using NLG (natural language processing), Klevu can glean insights and trends at scale and make product recommendations with pinpoint accuracy. Learn more about Klevu here.


Phrasee (How could they not be on the list?!) uses AI to write better marketing language than humans. Originally known for optimizing brands’ email subject lines to increase open rates and click-through rates, Phrasee is now taking their AI marketing language generation talents to Facebook and Instagram ads, as well. Learn more about Phrasee here.

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