Around this time two years ago, David Alston was running around the frigid streets of Chicago attending sneaker release pop-up parties during NBA All-Star Game weekend, trying to get some exposure for his upstart app, Kickstroid. His pre-pandemic objective: letting sneakerheads know how and where to get the latest reissues of various Air Jordans, the newest "Space Jam: A New Legacy"-inspired Nikes from LeBron James, and a relaunched Adidas D Rose 1 from Chicago hoop legend Derrick Rose. The positive feedback Alston got from users in person and on the app left him and his Kickstroid co-founder and college classmate, Nicco Adams, inspired. This weekend on their app, which launched in January 2020, they're tracking to see how the Nike "LeBron 9 Big Bang 2022" reissue will fare as this year's NBA All-Star Game is being held in Cleveland, James' former stomping ground. They say the shoe, with a $210 retail price, has a current "hype rating" of 7.2 (out of 10), a resell value of 4.6, which they also currently estimated at $284 and could price higher.

A salesperson arranges Nike basketball shoes on display at the House Of Hoops by Foot Locker retail store at the Beverly Center in Los Angeles, California, U.S. Photographer: Patrick T. Fallon/Bloomberg When thinking of data and the broader customer experience, we often think of a very impersonal set of numbers and figures. However, branded data that is analyzed through artificial intelligence can tell a compelling story that brings a human element to a brand's relationship with their customer base. Here are three great ways that data can be used to create a more pleasantly human experience for larger brands like Foot Locker, Home Depot and Silicon Labs. For anyone who has ever run a business, when there is a flood of questions from customers, it's nearly impossible to keep up manually. Using a solution like Query Service in the AEP (Adobe Experience Platform) allows the brand to answer complex questions that require diving into the data and allows for scaling both the number of responses and allows for deep personalization.

A salesperson arranges Nike basketball shoes on display at the House Of Hoops by Foot Locker retail store at the Beverly Center in Los Angeles, California, U.S. Photographer: Patrick T. Fallon/Bloomberg When thinking of data and the broader customer experience, we often think of a very impersonal set of numbers and figures. However, branded data that is analyzed through artificial intelligence can tell a compelling story that brings a human element to a brand's relationship with their customer base. Here are 3 great ways that data can be used to create a more pleasantly human experience for larger brands like Foot Locker, Home Depot and Silicon Labs. For anyone who has ever run a business, when there is a flood of questions from customers, it's nearly impossible to keep up manually. Using a solution like Query Service in the AEM (Adobe Experience Platform) allows the brand to answer complex questions that require diving into the data and allows for scaling both the number of responses and allows for deep personalization.

The Sr. Solutions Architect – ML/AI focuses on defining the strategic architecture by understanding the enterprise analytics and translating it into actionable strategies that deliver low latency, highly scalable, cloud based Machine Learning and Artificial Intelligence. The Sr. Architect leads the data driven transformation of Foot Locker in partnership with members of the data, CX and infrastructure teams. This role has end-to-end responsibilities for our ML/AI/Cognitive platform - from design, thru technical specification, to delivery. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.