Amazon is exploring the use of giant airships to serve as mobile, flying warehouses that could help the online retail giant deliver more of its goods by drone. You might already be familiar with Amazon's drone delivery service, which recently received a demo in Britain for the first time. But the idea for a fleet of large airships, disclosed in filings to the U.S. Patent and Trademark Office, expand on those ambitions dramatically. Imagine you're at a baseball game and wanted to buy a meal or a jersey without ever leaving your seat. The system Amazon describes would allow you to place an order and receive the item within minutes.

Computers powered by artificial intelligence are smart enough to threaten a range of jobs, whether computers developing treatment plans for cancer patients or Amazon.com That impact is already being felt. The World Economic Forum expects automation, including AI, to result in the loss of at least 5 million jobs globally by 2020. In the view of Genpact (G) CEO NV "Tiger" Tyagarajan, however, the bigger question is how many jobs such technology will ultimately create. Amazon is opening a new brick-and-mortar store, but without a checkout line.

Most people don't buy a jar of relish every week. But when they decide to buy one from Ocado--the world's largest online-only grocery retailer--they don't have to scrabble at the back of the store. Instead, they call on robots and artificial intelligence to have it delivered to their door. Ocado claims that its 350,000-square-foot warehouse in Dorden, near the U.K.'s second city of Birmingham, is more heavily automated than Amazon's warehouse facilities. The company's task is certainly more challenging in many respects: most of the 48,000 lines of goods that it sells are perishable, and many must be chilled or frozen.

Artificial Intelligence (AI) is going mainstream, captivating TV viewers, moviegoers and bookworms alike. One example of AI in pop culture is HBO's "Westworld." In the show, a futuristic amusement park allows visitors to live out their fantasies through AI-enhanced technology that personalizes each experience. For retail marketers, this idea should sound familiar – not because of the robot cowboys, but because the best retailers are taking a similar approach to customer engagement. Imagine a world where every interaction is tailored specifically to each unique customer, such as receiving a list of product recommendations through a simple retina scan. That's not as far off as it may seem.

Amazon.com Inc.'s Echo voice-activated artificial-intelligence devices were the stars of what the e-commerce behemoth is calling its "best ever" holiday season. Seattle-based Amazon said the Echo family of devices sold by the "millions," at a rate nine times greater than during last year's holiday season. The Echo is a home speaker through which Amazon's customers interface with Alexa, a voice-activated software assistant; it became widely available to U.S. customers in summer 2015. A smaller version, which connects to speakers, is dubbed the Echo Dot; it was unveiled earlier this year. "Echo and Echo Dot were the bestselling products across Amazon this year,," Jeff Wilke, the head of Amazon's consumer division, said in a statement.

Computers powered by artificial intelligence are smart enough to threaten a range of jobs, whether computers developing treatment plans for cancer patients or Amazon.com That impact is already being felt. The World Economic Forum expects automation, including AI, to result in the loss of at least 5 million jobs globally by 2020. In the view of Genpact (G) CEO NV "Tiger" Tyagarajan, however, the bigger question is how many jobs such technology will ultimately create. Amazon is opening a new brick-and-mortar store, but without a checkout line.

I've been delivering data integration solutions for decades but I only recently started working with Hadoop. McKnight's and Dolezal's book is very helpful for people using any data integration technology. The language is for executives, directors, managers, and practitioners interested in learning (or learning more) about the oft-overlooked topic of data integration. As I often tell people, "You can't do Big Data without... data." The data required for modern analytics projects is rarely stored nearby.

Utilizing physical big data to dramatically improve how brick and mortar businesses work 5. Percolata: Helping retailers predict in-store customer traffic: EFFECTS OF USAGE • The free traffic counters contributes to tracking the customer count for retail stores and then project traffic going forward for the website. Major benefits include saved manager time, increased revenue, and the improvement of customer loyalty. Prelert automates behavioral analytics allowing its customers to discover real-time insights while minimizing the upfront investment 7. Prelert - Behavioral analytics for payment security: EFFECTS OF USAGE • Machine Learning (ML) are at play to flag any malpractice in very high volume high frequency data transactions / communications. Powerful cloud based analytics 9. Azure ML – Sales Forecasting: EFFECTS OF USAGE • The platform comes loaded with many different samples that include models to predict credit risk, customer churn, flight delays, and many others which will help you predict different scenarios. USE CASE – Predicting Performance of Fundraising Campaigns All rights reserved.

Tokyo, December 16, 2016 - NEC Corporation (NEC; TSE: 6701) today announced the development of a "remote gaze detection technology" that enables real-time detection of the direction an individual is looking, even when using existing cameras from remote locations. Conventional technologies estimate an individual's line-of-sight using specialized devices equipped with infrared lights and advanced cameras that detect light as it is reflected from an individual's eye. This new technology, developed as part of NEC's cutting-edge portfolio of artificial intelligence (AI) technologies, NEC the WISE (*1), uses face feature point detection technology, the core of NEC's world leading face recognition technology (*2), to accurately identify characteristics in and around the eye, such as the pupil and the corners of the eye, from images taken with common cameras, including web, surveillance, tablet and smartphone cameras, without the need for specialized equipment. These images and technology enable highly accurate detection of an individual's line-of-sight, with a measurement error of less than 5 degrees from the left, right, top and bottom. Moreover, this remote gaze detection technology's advanced response to low resolution images and changes in brightness enable it to detect an individual's line-of-sight, even when they are separated from the camera by 10 meters, making it well suited for automatically detecting products that draw the attention of shoppers at retail stores. Furthermore, the high speed computations of its "feature value extraction technology" enable it to simultaneously detect the line-of-sight of multiple individuals, without compromising the accuracy of its results.