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.

Read more in An AI Approach to Omnichannel

On working almost for free

Someone I did some freelance work for a few years back contacted me to inquire about writing for his current company. The exchange on LinkedIn messaging went like this:

Hi Ariella, Not sure if you remember me from my ___ days but I am looking for a freelancer to help out with blog posts across two products here at ____. I don't remember what your pricing was but I do remember that you made my life a whole lot easier. Can you send me what you were asking?

 I assured him that I did remember him and asked what kind of articles he had in mind. His response:

• product focused
• and a bit of thought leadership
• Just so I can make sure, does $50 for an 800 word article work?

I wrote back:

I'm assuming you dropped a zero there.

Surprisingly enough, he said:

I did not. Our content director informed me that is what we normally pay for an 800 word article. Understood if that is way too cheap. 

That was far below my rate even when I first started freelancing (and he knows it's a tiny fraction of what was paid by his previous company, which is why I had assumed he dropped a zero).  But I am not one to throw away opportunities in a snit. I said my daughter may do it for that rate. After all, she is willing to work for free for college internships. So I'll let her take a crack at it. At least, it will be a learning experience and resume builder for her.

Related posts http://writewaypro.blogspot.com/2016/05/writing-for-free-is-not-deductible.html

 http://writewaypro.blogspot.com/2016/05/an-idiots-guide-for-writers.html
https://www.linkedin.com/pulse/college-internships-real-story-ariella-brown-phd-1

AI for customer service

AI is changing our everyday interactions. What once required a human rep can now be handled by a

(Image: panuwat phimpha/Shutterstock)

virtual assistant whose programming allows customer problems to be solved more quickly.

A recent Venturebeat article declared, "AI chatbots are the next big shift in customer service." Those of us of a certain generation expect to wait on a line or on the phone for a person to take care of our customer service issues. But the generation that favors texts to calls has come to have different expectations.

Read more in  Why Machine Learning Can Improve Customer Service

The eyes have it with AI

The camera is already starting to replace the keyboard,” asserts Netra CEO, Richard Lee. The content that will dominate digital information flow will be visual, and for that reason image recognition is becoming a key component of marketing.

His company derives insight from visual data, fostering understanding of how consumers engage with brands through engagement with images. Netra  is a leader in visual intelligence and search that uses machine learning to help marketers make sense of imagery on social media.

Some brands are already using image recognition to connect with and effectively market to their customers. They include Neiman Marcus. The upscale retailer offers its customers the Snap. Find. Shop  app that enables them to use their phones to snap pictures of styles they like and find similar styles carried by the store.  The app is demonstrated here:

The app allows customers to bypass typing in description of the clothing and rely on the image alone to convey what they seek. That kind of search is what we will be seeing more of in future, according to Lee. 

Read more in AI Makes Visual Intelligence Possible

Renewables take to the waves

For major electronics OEMs, transitioning to renewable energy entails not only using it in their own factories but calling on those that supply components to do the same. Apple has done just that. As a result, many of its suppliers are turning to solar and wind power, and some are even reaching out to sea to get it. 

As Bloomberg recently reported, for its own operations, Apple can boast of using tapping into renewables for 96% of its own energy use. That includes not only the corporate offices Lisa Jackson, Apple's vice president in charge of sustainability and government affairs, says, but also “our data centers, our stores, even our distribution centers.” However, as she told Bloomberg Television, the company is resolved to do even better by “moving onto our supply chain.” 

As Apple posted in March, together with its suppliers, the company anticipates that by the end of next year, it “will be generating over 2.5 billion kilowatt hours per year of clean energy.” To put that in perspective, that is tantamount “to taking over 400,000 cars off the road for a year,”  the company said.

Apple’s goal of reaching 100% renewable energy for its production entails getting its suppliers to commit making the necessary changes for their energy sources. Apple now has seven supplier companies committed to renewable energy. Among them is Ibiden. It has the distinction of being the first company in Japan to commit to use only renewable energy in producing components for Apple.

Ibiden is set for renewable energy production that is anticipated to “produce over 12 MW of solar power — more than the energy they need for Apple manufacturing — and support Japan’s nationwide efforts to limit its carbon emissions.” In addition to standard facilities, Ibiden’s energy will come from “one of the largest floating solar photovoltaic systems in the country.” By floating the solar panels, energy can be harvested from the sun without taking up limited land space in Japan.

This trend of moving out to the water to harness renewable energy is also being applied to wind power.

Read more in 

Innovation in Renewable Energy Greens Supply Chain

Mother's Day Marketing

Public domain pic at http://www.publicdomainpictures.net/pictures/170000/velka/muttertag-14609069654cp.jpg

Motherhood may be priceless, but there actually is a price tag associated with Mother's Day. Given that the market for this particular holiday is expected to hit a record-high this year, savvy marketers have already put their brands in the game.

On the second Sunday in May, Americans take time out to show appreciation to their mothers, typically with cards, flowers, dinners out, and other assorted gifts. All that adds up to $23.6 billion, according to NRF's forecast.

In anticipation of this substantial spending occasion, you'd expect to see massive marketing campaigns. But it seems that brands are not doing quite as much as they could. I popped into Target and saw only minimal signs of the imminent holiday represented by a few Mother-themed mugs in the front section, as well as the usual cards.

I shared what I've seen with Mike McMaster, VP of Lead Generation at JumpCrew. He said he noticed the same at a mall he visited over the weekend. With the exception of Macy's, he observed very little Mother's Day marketing.

The stores who fail to address the upcoming holiday in their setups are missing out on “the two Ps in marketing,” McMaster says. That refers to “placement and promotion” with targeted positioning of merchandise that ties into the promotional theme of Mother's Day.

Read more in Mother's Day: Price Tags and Hashtags

AI Transforms Business Data Models

(Image: pixone/iStockphoto)

As big data continues to grow, extracting value from it calls for new tools.

Increasingly, businesses that rely on data to drive decisions are applying AI to surface actionable insight quickly and accurately.

Finding innovative solutions to the problems raised in data analytics, particularly with respect to adapting machine learning to credit scores, is what they've been working on for the past six years at Experian's DataLabs. The EVP and Global Head of the labs, Eric Haller, spoke to All Analytics about the new direction for predictive modeling.

Read more in

AI, Machine Learning Power Transformation