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Pinterest's commerce head explains how A.I. and machine learning will transform shopping

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Ankur Arya, Braintree's mobile general manager, and Michel Yamartino, Pinterest's head of commerce, took the stage at VentureBeat's MobileBeat 2016 event to talk about machine learning, artificial intelligence, and how the two concepts are transforming commerce. You can watch the full discussion below.


Shutterstock releases a keyword suggestion tool for iPhone that uses artificial intelligence - Amateur Photographer

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The new feature aims to make the process of submitting images through their iOS app easier for users. Shutterstock requires contributors to add between seven and 50 keywords to their images when uploading them to the system, to help customers find appropriate images for their needs. Their app uses artificial intelligence to review metadata and pixel data to suggest several keywords for the images contributors are uploading, that users can tap to select. It works by using computer vision technology to locate visually similar images to the uploaded image, and automatically suggest and previously successful keywords for the user to select. The tool is being launched for mobile initially, to make the process of submitting images when using the smaller keyboard of a mobile phone easier.


Applying IoT and Swarm Algorithms to Reduce Traffic Congestion

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Southern California recently experienced a 55-hour closure of the 91 Freeway, resulting in a 6-mile backup that intersected State Route 71 and Interstate 15. The closure was called the "Coronageddon" (it ran through the heart of Corona). Just a few years ago a big closure of Highway 405, dubbed "Carmageddon," resulted in a traffic jam that reached immense proportions and made national news. These are extreme instances of massive traffic congestion, but more commonly we all deal with daily traffic jams as people get to work and school, the lunch rush hour, and the all-too-familiar and stressful evening commute. Traffic patterns are studied by cities, but most use a low tech approach.


The Emerging Potential for Video Analytics-as-a-Service

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Video surveillance is one of the fastest growing segments in the physical security industry. In the prevailing security environment, the need for video surveillance is growing exponentially. From smart cities to stadiums, from retail mega-markets to homes, video surveillance has become a pervasive phenomenon. Several petabytes of video data are being generated globally every year from this growing number of video surveillance installations. However, a large amount of video which is captured is never analyzed for actionable intelligence and, in many cases, a large team of human operators is required to monitor the video feeds.


31 external machine learning / data science resources and articles

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Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of automatically categorizing them using indexation and automated tagging algorithms. Check out our previous selection of articles.


United States LMS Market 2016-2020 - Market to Grow at a CAGR of 24.57% - Research and Markets

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Research and Markets has announced the addition of the "LMS Market in the US 2016-2020" report to their offering. The analysts forecast the LMS market in the US to grow at a CAGR of 24.57% during the period 2016-2020. The report covers the present scenario and the growth prospects of the LMS market in the US for 2016-2020. To calculate the market size, the report considers the revenue generated through subscription, licenses, and maintenance fees charged for the tool. Apart from this, the overall revenue calculation includes the professional services that are offered to the customers.


Macy's tests artificial intelligence tool to improve service

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Five others -- Short Hills, New Jersey; Buford, Georgia; Atlanta, Georgia; North Miami, Florida; and Garden City, New York -- will have a feature that lets customers summon a sales associate. The two Miami locations will have it available in Spanish as well. Customers can click on macys.com/storehelp on their mobile device, but Potter said the company is working on an app. She declined to say when the tool might be rolled out nationwide.


Sift Science raises 30 million to predict and prevent fraud everywhere online

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To predict and prevent fraud online even more quickly than cybercriminals adopt new tactics, Sift Science has raised 30 million in a Series C round of venture funding in a round led by Insight Venture Partners. According to the U.S. Internet Crime Complaint Center (IC3) 2015 annual report, reported internet crimes alone, ranging from personal and corporate data breaches to credit card fraud, phishing and identity, theft cost victims 1.07 billion. The financial losses to U.S. businesses as a result of such crimes go well beyond what is reported to IC3, of course. Certain types of sites and apps are under more frequent attacks than others, with digital gift card businesses, money transfer services and on-demand marketplaces rampant with fraud attempts. Sift Science uses machine learning and artificial intelligence to automatically surmise whether an attempted transaction or interaction with a business online is authentic or potentially problematic.


Chatbots Will Revolutionize Computing, Says Microsoft CEO

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Chatbots will revolutionize how we experience computing, says Satya Nadella. According to the Microsoft CEO, they will fundamentally change the user experience we have come to know since computers became a ubiquitous part of everyday life. Presently, menus and toolbars define our user experience. They help us navigate our applications and make computing easier. The relative ease of use depends on the particular operating system or application.


Who Is Your New Marketing Target? Machines!

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The Internet of Things together with changes in consumer-buying habits are set to have profound consequences for marketers. Connected devices are growing at an astonishing rate. Cisco's latest Visual Networking Index has predicted that, by 2020, there will be 26 billion connected devices across the globe, up from 16 billion connections in 2015. This is a trend that will revolutionise many aspects of life--not least, commerce. At Salmon we've termed this new era of retail "Programmatic Commerce" and believe it to be one of the most significant trends on the horizon for marketers in the digital age.