LONDON--(BUSINESS WIRE)--MediaGamma has announced the launch of a new Audience Prediction product, which is set to make a major impact on the ad tech market. By applying deep learning to unique data sets, coupled with MediaGamma's unique AI Decision Support Engine, the product is set to provide players in the ecosystem with over 90% certainty about a user's interests and demographic profile. The new product will help people to navigate uncertainty to make better decisions, and a major telecoms company has already signed up. The Audience Prediction product is the latest in a broad portfolio of products created by MediaGamma (http://www.mediagamma.com/), The start-up's world-renown team of data scientists deliver bespoke real time, prediction-based data science solutions focusing on online user behaviour.

In this week's Whiteboard Walkthrough Ted Dunning, Chief Application Architect at MapR, explains in detail how to use streaming IoT sensor data from handsets and devices as well as cell tower data to detect strange anomalies. He takes us from best practices for data architecture, including the advantages of multi-master writes with MapR Streams, through analysis of the telecom data using clustering methods to discover normal and anomalous behaviors. I'd like to talk a little bit about data processing in the context of telecom. In particular, what I'll be talking about is how to extend some of the ideas that we've talked about in other videos about anomaly detection to the particular case of telecom data. This is very different than some of the other data that we've been talking about.

Futurewei Technologies Inc. (DBA Huawei R&D) is a U.S. Based branch of Huawei Technologies Co. Ltd., the leading global information and communications technology solutions provider. Established in 1988, Huawei Technologies is a private high-tech enterprise specializing in research and development, the production and marketing of communications equipment, and providing customized network solutions for telecom carriers in fixed, mobile, and data communications networks. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 170 countries, serving more than one third of the world's population.

Google has made a strong phone debut, according to the first round of reviews. Strong enough to take on the market-leading iPhone. The 5-inch Pixel and 5.5-inch Pixel XL are the company's first pure Google-branded smartphones, with the tagline "made by Google." To date, Google has released phones under the Nexus brand, which tended to emphasize the phone's manufacturer, such as LG and Huawei, not Google. Wall Street Journal: "The Google Pixel is now the best Android smartphone you can buy," the Journal said in its review.

Bright Computing, the leading provider of hardware-agnostic cluster and cloud management software, today announced that it will be exhibiting at Huawei Connect, Paris, October 20-21, 2016. Huawei Connect, a conference for Huawei's European ICT ecosystem, focuses on business innovation and open partnerships. This year's theme is "Shape the Cloud", and policy makers, industry leaders, academics and technology elites will gather together to share, discuss and debate the future technologies and new business models that are driving the world's digital transformation. At the event, Bright Computing will showcase its latest solution, Bright for Deep Learning, which makes it easy to build an enterprise-grade deep learning environment, quickly and efficiently, enabling organizations to focus on gaining actionable insights from rich, complex data. Bright will explain how it helps to find, configure, and deploy all of the dependent pieces needed to run deep learning libraries and frameworks, in order to gain advantage from the deep learning evolution.

Updated 10-18-16: We've updated our recommendation for best Phablet (5.5 inches or greater) to the excellent Pixel XL. We haven't yet reviewed the standard-size Pixel, but one of the two is a likely candidate for best overall phone. The Android universe is teeming with options, from super-expensive flagship phones, to affordable models that make a few calculated compromises, to models expressly designed for, say, great photography. Chances are that whichever phone you buy, you'll keep it for at least two years. So choosing the best Android phone for you isn't a decision you should take lightly.

Google's fascination with hardware stretches back years. Remember the early days of Android and the G1? It took Google a while, but that fascination turned into a sort of experimental hobby, and now into something far more serious. Software is Google's art, and the company has been working for a long time to craft the right canvases. Google has more control over the development -- and destiny -- of these two smartphones than it ever had with any Nexus phone. It's not surprising, then, that the company has turned to close friends to help chart this new course. Former Motorola Mobility CEO Rick Osterloh is back at Google heading up hardware after the search giant sold his company to Lenovo. HTC, which most recently worked with Google on the Nexus 9 tablet, is handling the Pixel phones' production and assembly. There's a palpable sense that Google wanted to round up its A-team for this project.

Columnist Ed Baig reviews Pixel, which features the high-IQ Google Assistant and a competitive, high-end smartphone camera. NEW YORK--Google's new Pixel phones should be on a smartphone shopper's shortlist -- and not just for those disheartened by Samsung's Galaxy Note 7 recall. Pixel is a winner for anyone looking for an excellent phone. Start with cameras that are at the very least on par with the terrific cameras on the Samsung Galaxy S7 and iPhone 7 that represent its main competition. Add the baked-in voice-enabled Google Assistant, Google's answer to Apple's Siri, Microsoft's Cortana and Amazon's Alexa, where another battleground is poised to take place.

Like doesn't have a version number new?" The line, from Google's ad introducing its new Pixel smartphone, is a clear dig at Apple's iPhone 7 and 7 Plus, which some critics derided as just a modest update. By contrast, Google's new flagship smartphone has been redesigned and rebranded. The Pixel represents a strategy shift for the search giant, which is known more for its advancements in software, algorithms, and online advertising rather than hardware. With the Pixel, Google is looking to change that perception.

Lobster, a Startup Battlefield company from 2014, is breathing new life into its AI-powered media licensing platform by partnering with Verizon Cloud. Advertisers, publications, agencies and will now have the means to license images sourced from social media and now, Verizon Cloud. For every image sold, 75% of the profit goes towards the contributor, ranging in skill from pro photographer to regular Instagrammer. For regular users (you!), this means is that if you sign-up for Lobster and upload images to the service from your Verizon Cloud, you can proceed to license and sell them for profit. Lobster's artificial intelligence engine kicks in by analyzing these images, building a neural network and enabling detailed search methods, thus enabling the discovery of your work.