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The Seven Essentials of AI-Based Predictive Selling Having a complete 360 degree view of each customer is imperative for predictive sales success. Where does the data for this comprehensive customer profile come from? And when should you start creating your profiles? Last week, we looked at what AI-based predictive selling, also known as predictive sales, is doing right now. It’s making sales teams more eff ...

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Review: The best frameworks for machine learning and deep learning | InfoWorld

Over the past year I've reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and TensorFlow. If I had cast my net even wider, I might well have covered a few other popular frameworks, including Theano (a 10-year-old Python deep learning and machine learning framework), Keras (a deep learning fro ...

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Google Cloud Platform Blog: Introducing Cloud Spanner: a global database service for mission-critical applications

Introducing Cloud Spanner: a global database service for mission-critical applications Today, we’re excited to announce the public beta for Cloud Spanner, a globally distributed relational database service that lets customers have their cake and eat it too: ACID transactions and SQL semantics, without giving up horizontal scaling and high availability. When building cloud applications, database administrato ...

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Microsoft’s New AI Writes Code For People Who Don’t Know Coding

DeepCoder is an artificial intelligence system built by the researchers at Microsoft and the University of Cambridge. Based on a technique called program synthesis, DeepCoder can write working code after searching from a huge code database. It tries to make the best possible arrangement for the harvested code fragments and improves its efficiency over time. We’ve about the very basic artificial intelligence ...

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How AI Is Changing The Way Companies Are Organized

Artificial Intelligence may still be in its infancy, but it’s already forcing leadership teams around the world to reconsider some of their core structures. Advances in technology are causing firms to restructure their organizational makeup, transform their HR departments, develop new training models, and reevaluate their hiring practices. This is according to Deloitte’s 2017 Human Capital Trends Report, wh ...

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Essential Differences between Deep Learning and Conventional Neural Network 

There has been a resurgence in interest in Neural Network since 2006, because of some breakthroughs known collectively as Deep Learning. A Deep Learning based solution uses deep neural network with multiple hidden layers. However, the learning techniques are different from conventional neural networks. Key Differences Conventional Neural Network A conventional neural network, uses back propagation of error ...

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Yahoo supercharges TensorFlow with Apache Spark 

Yahoo, model Apache Spark citizen and developer of CaffeOnSpark, which made it easier for developers building deep learning models in Caffe to scale with parallel processing, is open sourcing a new project called TensorFlowOnSpark. The pairing of Spark and TensorFlow should make the deep learning framework more attractive to developers who are creating models that need to run on large computing clusters. Fo ...

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IoT And Big Data At Caterpillar: How Predictive Maintenance Saves Millions Of Dollars

When it comes to big data and Internet of Things (IoT) initiatives most companies are still in the design or early adoption phases which make it hard to get a solid return on investment (ROI) figures.  So it’s refreshing to share a story of an organization delivering real-world ROI for their customers by vastly ramping up their data collection and predictive maintenance analytics. The Marine Division of Cat ...

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Research Blog: Using Machine Learning to predict parking difficulty

"When Solomon said there was a time and a place for everything he had not encountered the problem of parking his automobile." -Bob Edwards, Broadcast Journalist Much of driving is spent either stuck in traffic or looking for parking. With products like Google Maps and Waze, it is our long-standing goal to help people navigate the roads easily and efficiently. But until now, there wasn’t a tool to address th ...

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Beyond vectors: efficiency in Natural Language Processing

NYU MSDS student Raul Delgado Sanchez talks diffusion maps When you text a friend saying ‘I’ll fall you later’, how does your iPhone know to correct ‘fall’ to ‘call’? Auto-correct owes its prowess to a field that continues to gain paramount importance among computer scientists, and is an especially lively area of study at our very own Center for Data Science: Natural Language Processing (NLP). Generally spe ...

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