Artificial intelligence is already an effective marketing tool in large-scale marketing channels, but recently it has made headway in mobile video advertising. A recent survey of 1,000 mobile users asked if after watching a mobile video ad whether viewers were inclined to buy a product. Nearly half of those surveyed said they never bought a product after watching a commercial video. Additionally, when asked why this was the case, 51 per cent stated they were not in the market for the product at that time of viewing and 29 per cent said the adverts were not relevant. These statistics for mobile video viewers indicated that advertising is not being delivered at the correct point in the purchase funnel or to users who were likely to change their minds, ultimately wasting marketer's budgets. "The challenge many brands face is getting ROI from their digital campaigns and achieving the marketing goals" comments Stephen Upstone, CEO LoopMe.

Satya Nadella said Microsoft is building the world's most powerful artificial intelligence supercomputer.

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On Sept. 19, Etsy (NASDAQ:ETSY) announced it had acquired private analytics and AI company Blackbird Technologies to enhance its search capabilities. Since Etsy is an online retailer of rare products and handmade crafts, though, some might question the prudence of its purchase. Etsy bought Blackbird Technologies for an undisclosed sum of money. What we do know is what the company gets in the exchange: Blackbird's analytics engine that analyzes shoppers' behavior to predict and suggest personalized search results, image recognition and cataloguing to enhance user searches, and spelling correction and predictive type to speed up the search process. In addition to the technology, the techie team at Blackbird will also be joining Etsy, including the two company co-founders.

Google had more fun at the expense of Apple, poking fun at its South Bay neighbor by announcing Pixel comes in three colors -- quite black, very silver and really blue.

While the South African market has become more aware of machine learning – as well as its capabilities and the value it can add to a business – machine learning uptake and local industry development lags behind several developed markets (not by months, but years). This is according to DataProphet MD Frans Cronje who highlights that tertiary courses promoting machine learning have only recently become available in South Africa. "It will therefore take time to develop the talent required to'catch up' with competing markets such as the United States," he says. As a subset of artificial intelligence which explores the development of algorithms that learn from available data, machine learning is the science of getting computers to act without being explicitly programmed. Having been in the market for more than two years and with a growing team specialising in producing bleeding-edge machine learning solutions, DataProphet is one of the most well-established companies purely focused on developing and implementing machine learning solutions in the country.

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Source(d), a Madrid, Spain-based startup that uses artifical intelligence to identify the most suitable developers for respective jobs, raised 6m in funding. Backers included Xavier Niel, Otium Venture and Sunstone Capital. The company intends to use the funds for commercial expansion in Europe and the United States and continued improvement of the artificial intelligence algorithms. Founded in March of 2015 by CEO Eiso Kant, Jorge Schnura and Philip von Have, source{d} develops deep learning (artificial intelligence) algorithms to identify, qualify and present developers to companies, by analyzing their code. By basing their approach on technical understanding, the process guarantees that the needs of their clients are met and the developers fit better with their technical challenge.

Google's CEO wants Google to become more than a search engine for everyone -- he wants it to be personalized. Sundar Pichai opened up Google's event Tuesday talking about the history of computing and how it's gotten to where it is today. Specifically, how artificial intelligence is the future of Google and the future of computing in general. "When I look ahead at where computing is headed, it's clear to me that we're moving from a mobile-first to an AI-first world," Pichai said. "Our goal is build a personal Google for each and every user. Just as we built a Google for everyone, we want to build each user his or her own Google."

Google Translate has become a quick-and-dirty translation solution for millions of people worldwide since it debuted a decade ago. But Google's engineers have been quietly tweaking their machine translation service's algorithms behind the scenes. They recently delivered a huge Google Translate upgrade that harnesses the popular artificial intelligence technique known as deep learning. Machine translation services such as Google Translate have mostly used a "phrase-based" approach of breaking down sentences into words and phrases to be independently translated. But several years ago, Google began experimenting with a deep-learning technique, called neural machine translation, that can translate entire sentences without breaking them down into smaller components.