I open the Amazon Go app on my phone, scan a QR code on top of the white turnstile and watch as electronic arms open to let me in. Glancing around the convenience store, which is bustling with Amazon employees shopping for lunch items, I head left to the cold drinks section, grab a can of Diet Pepsi and exit through the barrier. Not once did I pull out my wallet or tap my phone anywhere to make a payment. I'm getting a preview of the Amazon Go automated store within the internet giant's headquarters in Seattle.

Steeped in the language of digital commerce, today's shoppers have developed a new standard of behaviors, preferences and expectations for all of their retail experiences. Responsible with meeting these elevated needs, retailers need to overcome the hurdles of legacy technology and captivate each of their customers on a 1:1 basis. In the past, consumer value expectations were centered on three variables: cost, choice and convenience. With instant gratification available at the push of the button, customers are looking to have more control of their purchase journey and are seeking out personalized shopping experiences. Real-Time Engagement Accustomed to the instant access of e-commerce shopping, customers are looking for opportunities to skip the line and have direct communication channels to ask, troubleshoot and, of course, shop.

Amazon Go, a brick-and-mortar convenience store featuring automatic checkout, opened to the public in Seattle on Monday. Today for lunch, I stopped by a newly opened convenience store at the north end of Seattle's downtown. I grabbed a tuna wrap from the refrigerated display, shoved it into my pocket and made straight for the exit as casually as I could. On my way out, a store employee stopped me. I paused for a long second.

Back in 2015 the firm opened a physical bookshop in Seattle and it's promised to open a further 400 more in the next few years. Seattle, the home of Amazon's current headquarters, is also the testing ground for its first physical grocery store (if you discount those Whole Foods stores it purchased last year). On January 22, Amazon Go will open for business. There are some packaged sandwiches, ready-meals and booze spread across the shop's 1,800 square feet of floorspace. But unlike other stores it has no checkouts or human cashiers.

In 1969, William H. "Holly" Whyte decided to analyze, and eventually decode, New York City's rambunctious street life. A famed author, Whyte, along with a handful of collaborators, was recruited by the city's planning commission to set up cameras and surreptitiously track human activity. Whyte and his team spent countless afternoons filming parks, plazas, and crosswalks, and even more time counting, crossing out, analyzing, and quantifying footage. Notations were made for how people met and shook hands. Pedestrian movement was mapped on pads of graph paper. To get accurate assessments of activity at a street corner, Whyte's researchers manually screened people caught waiting for lights to change. Imagine how much time it took to figure out that at the garden of St. Bartholomew's Church, the average density at lunch time is 12 to 14 people per 1,000 square feet.

SEATTLE – No cashiers, no registers and no cash -- this is how Amazon sees the future of store shopping. The online retailer opened its Amazon Go concept to the public Monday in Seattle, which lets shoppers take milk, potato chips or ready-to-eat salads off its shelves and just walk out. Amazon's technology charges customers after they leave. "It's such a weird experience, because you feel like you're stealing when you go out the door," said Lisa Doyle, who visited the shop. Amazon employees have been testing the store, on the bottom floor of the company's Seattle headquarters, for about a year.

One of the most exciting features from the newest release of Visual Data Mining and Machine Learning on SAS Viya is the ability to perform Market Basket Analysis on large amounts of transactional data. Market Basket Analysis allows companies to analyze large transactional files to identify significant relationships between items. While most commonly used by retailers, this technique can be used by any company that has transactional data. For this example, we will be looking at customer supermarket purchases over the past month. Customer is the Transaction ID; Time is the time of purchase; and Product is the item purchased.

CARFIT and CEA have signed an agreement to create a joint laboratory focused on Artificial Intelligence related to car vibrations and their interpretation. The lab will bring together teams from the List, a CEA Tech Institute, and from CARFIT to share knowledge and expertise. The joint lab will be dedicated to the development of artificial intelligence methods for identifying signs of mechanical failures exposed by car vibrations....

Here's an analogy using a concept that we can all relate to: a supermarket. Picture the scene: Shopping list in one hand, shopping basket in the other, you're ready to tackle your weekly shopping in your local supermarket. Your items range from fruit and vegetables to washing detergent, perhaps with some free-range eggs thrown in for good measure. Quite the eclectic mix, but you know that you'll be able to find all you need under one roof. The fact that this is possible is in itself quite remarkable.

Every part of the U.S. has a different local term for a convenience store: the bodega, the corner store--even "the Wawa," a chain name that Northeasteners use generically. Now Amazon wants to extend its brand to the notion of a grab-and-go shop with Amazon Go, a store that literally lets you grab and go. On Monday, more than a year after the company unveiled the concept and began a beta-test phase open only to its own employees, the first Amazon Go in Seattle will welcome all shoppers. In December 2016, when the company first teased the automated store–which eliminates cashiers and checkouts in favor of AI and cameras that detect the products you select--it said that it was coming in early 2017. Last March, however, the Wall Street Journal's Laura Stevens reported that Amazon was having trouble getting its "Just Walk Out" technology to work as the place filled up with customers.