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Editor's Pick (1 - 4 of 8)
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Making E-commerce Magical

Making E-commerce Magical
Earl Newsome, CIO, Praxair, Inc.

Reshaping Customer Management

Reshaping Customer Management
Christopher Higgins, CIO, Technology Delivery & Infrastructure Services, U.S. Bank [NYSE: USB]

Doing More With Digital: It's Just Good Business

Doing More With Digital: It's Just Good Business
Matt Lasmanis, US CIO, GSK

Data Analytics, Machine Learning Will Power an Enterprise Content Management Evolution

Data Analytics, Machine Learning Will Power an Enterprise Content...
Aref Matin, CTO, Wiley

Why Marketing Automation Unleashes True Creativity

Why Marketing Automation Unleashes True Creativity
Jeremie Moritz, Brand & Digital Director, Absolut Elyx, Pernod Ricard

Women in Technology

Women in Technology
Allison Abraham Simpkins, Sr. Vice President, North America, Valtech

Creating Undying Consumer Experience

Creating Undying Consumer Experience
Scott Kellner, VP, Marketing, George P. Johnson Experience Marketing

Building a Content Pipeline for Today and Tomorrow

Building a Content Pipeline for Today and Tomorrow
Cindy McKenzie, CIO, Deluxe Entertainment Services Group

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AI and its Place in E-Commerce

By Anna Cole, Director of E-Commerce Operations, User Experience and Merchandising, Carhartt

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Anna Cole, Director of E-Commerce Operations, User Experience and Merchandising, Carhartt

It’s 1997 and the super computer Deep Blue is going up against the reigning World Chess Champion, Garry Kasparov for the second time, but this time Deep Blue wins. For me, this is the first time that the possibility and promise of Artificial Intelligence (AI) became real. It was hard to believe a machine could out-think a genius like Kasparov.

Fast forward 20 years and I’ve read Deep Blue didn’t outthink Kasparov as much as it just processed data better and faster. That wins in Chess and it wins in e-commerce. It’s no wonder that every vendor you talk to is pitching an AI solution these days. We need to be able to run our businesses smarter and activate the vast amount of data we have accumulated easily and repeatedly to deliver the right message, at the right time, to the right person.

How does one develop a winning AI strategy? Tactical decisions must be made with the end game in mind. Many solution providers have expanded their service offerings through acquisition or development in an attempt to be everything to everyone, and to pitch their solution to deliver the connected environment. The reality is that most vendors have not been able to grow or scale with excellence across all of their solutions.

It was hard to believe that a machine could out-think a genius like Kasparov


Along with the customized legacy environments, this means that the majority of businesses today use a combination of many different internal and external solutions.

Instead of using what is supposed to be everything to everyone, we need to be able to feed all of our data into one AI who can see the entire chess board and be able to accurately predict and plan for the future while feeding those connections back into the systems that fit our unique situations to create the ultimate AI-Dataloop. A dot might look like an anomaly in one system, but when connected with other dots in the ecosphere it could be the key to, exposing a critical trend or issue.Connecting all of the dots and disparate AI learnings from separate systems will enable us more quickly to exceed our business objectives.

In the future, a connected AI aggregator that feeds actionable insights across the entire organization from supply chain to consumer interactions will empower the business through the recognition of opportunities, trends, and potential issues. Such an AI will enable action, not reaction. This connected data and intelligence will be used to make smarter decisions while automating parts of the business to allow a seamless delivery of micro personalized experiences across channels.

To become a master, you must start by creating your AI strategy. Define success and plot short and long term goals. Identify areas for double attack by evaluating your internal and external partner capabilities. Work cross functionally and be willing to re-evaluate partners that are not on a path to connected data. Build in time to understand, audit and clean your data. AI is not a plug and play solution, but an investment in time and resources which will allow it to more quickly learn and predict. Deep Blue lost its first match. Once it had the data and learned from its past mistakes it out-computed the World Champion, made history, and inspired the future.

We e-commerce leaders can relate. We need to learn from our mistakes. We need to clean up and connect all of our data. We need to successfully automate, predict, and action it. Once we can do that we win customers, build trust, and outperform the competition. Checkmate.

Read Also

Why Marketing Automation Unleashes True Creativity

Why Marketing Automation Unleashes True Creativity

Jeremie Moritz, Brand & Digital Director, Absolut Elyx, Pernod Ricard
Women in Technology

Women in Technology

Allison Abraham Simpkins, Sr. Vice President, North America, Valtech
Creating Undying Consumer Experience

Creating Undying Consumer Experience

Scott Kellner, VP, Marketing, George P. Johnson Experience Marketing
Building a Content Pipeline for Today and Tomorrow

Building a Content Pipeline for Today and Tomorrow

Cindy McKenzie, CIO, Deluxe Entertainment Services Group

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