Spark is an Apache project advertised as "lightning fast cluster computing". It has a thriving open-source community and is the most active Apache project at the moment. Spark provides a faster and more general data processing platform. Spark lets you run programs up to 100x faster in memory, or 10x faster on disk, than Hadoop. Last year, Spark took over Hadoop by completing the 100 TB Daytona GraySort contest 3x faster on one tenth the number of machines and it also became the fastest open source engine for sorting a petabyte. Spark also makes it possible to write code more quickly as you have over 80 high-level operators at your disposal. To demonstrate this, let's have a look at the "Hello World!" of BigData: the Word Count example.

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It is this time of year again where most of us willingly and willfully make fools out of ourselves trying to predict the future of our industry. The momentous electoral events we have witnessed and those coming up in 2017 remind me that, even more so for the next 12 months, macro risks will rule and influence the state of financial services and fintech. I will limit myself to comments pertaining to the US and Europe. I have already attempted to decipher a Trump presidency in a previous post, see here. Suffice it to say there will be winners and losers in the five sectors of the industry – lending, capital markets, asset management, payments and insurance.

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The Honda NeuV is a concept automated EV designed to understand human emotions by using AI technology created by Japan-based Cocoro SB. If you remember Pepper, the humanoid designed to keep you company by responding to your feelings, then know that Cocoro SB is the company working with Honda on this new project. Honda plans to bring a more personal touch to driving experience with the Honda NeuV concept. While much in the of exact specifics have yet to surface, you can expect to see a demo at this year's CES in January. How will Honda integrate this AI technology into the upcoming concept and are there plans to push this into the rest of its vehicles?

This means the intersection of IoT, point of sale, payments, analytics and loyalty, among others. In this article, you will hear a broad spectrum of my own interests and some predictions and insights on the future or retail, technology in 2017 and beyond. Since Star Cloud itself is in the business of IoT, and connecting the cloud, devices in the store (such as printers) with mobile and the consumers themselves, while empowering small businesses in the process, we realize that now more than ever, everything is connected. Amazon Go is remarkable as an example of the confluence of sensor data that will be possible in the future store. We believe analytics are a bit part of how retailers of the future will be able to leverage data in the brick-and-mortar shopping locations of the next decade.

Although financial terms of the deal were not revealed, it's said that an undisclosed number of SalesPredict employees will be joining eBay's team, working out of the Israeli development center in Netanya, including SalesPredict chief executive Yaron Zakai-Or, who will be director of product management for technology, and chief technology officer Kira Radinsky, who's been named director of data science and the chief scientist for eBay in Israel. Founded in 2012, SalesPredict specializes in helping businesses grow revenue through analytics that identify ideal potential prospects, thereby improving conversion to actual customers. It follows similar moves, including its pickup of AI startup ExpertMaker in May. In a statement, Zakai-Or explained that by being a part of eBay, "we will help arm eBay sellers with more information about the value of items, ultimately helping to increase customer sales conversions." The inclusion of SalesPredict seems to match the second part of this strategic effort.

Mellanox Technologies (NASDAQ:MLNX) is a leading supplier of end-to-end Ethernet and InfiniBand intelligent interconnect solutions and services for servers, storage, and hyperconverged infrastructure. Mellanox intelligent interconnect solutions increase data center efficiency by providing the highest throughput and lowest latency, delivering data faster to applications and unlocking system performance. Mellanox offers a choice of high performance solutions: network and multicore processors, network adapters, switches, cables, software and silicon, that accelerate application runtime and maximize business results for a wide range of markets including high performance computing, enterprise data centers, Web 2.0, cloud, storage, network security, telecom and financial services. More information is available at http://www.mellanox.com/.

Increased investor interest in AI startups – from around 10 deals in Q1'11 to over 120 in Q2'16 – can be attributed to recent advances in machine learning algorithms, particularly "deep learning" technology, a souped up version of AI. Just this week, Google integrated deep learning into its Google Translate tool; Baidu announced the launch of DeepBench, an "open source benchmarking tool for evaluating deep learning performance across different hardware platforms"; and NVIDIA introduced Xavier, a deep learning-based supercomputer for driverless cars. In the private market, Google put deep learning in the spotlight back in 2014 when it acquired 4 startups focused on this AI tech in quick succession: DeepMind, Vision Factory, Dark Blue Labs, and DNNresearch. Apple, which joined the race in 2015, most recently acquired Turi, which has developed a deep learning toolkit, among other AI-based solutions. Not to be outdone, Intel has acquired around 5 AI startups since January 2015, including deep learning startup Nervana Systems and, more recently, Movidius.

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