In-Memory Computing Summit 2016

In-Memory Computing Summit 2016

The best minds of the In-Memory Computing industry will gather in San Francisco on May 23-24 for IMC Summit 2016 to network, learn and exchange ideas that will power the future of ...

Big Data Analytics at FaceBook

Big Data Analytics at FaceBook

This meetup will be an “unconference” style one and will have various presentations to choose from. Please review the topics below and upon registering, select your 2 preferred top ...

Data Warehousing With Google BigQuery

Data Warehousing With Google BigQuery

Data warehousing and the resulting business intelligence are the basic necessities of business today. And today’s technologies makes it possible to have a sophisticated data wareho ...

Innovative Big Data Application Optimizes Lead Conversions, built on the Google Cloud Platform – CASE STUDY

Innovative Big Data Application Optimizes Lead Conversions, built on the Google Cloud Platform – CASE STUDY

In the era of Big Data, many enterprise executives are struggling with the sheer volume of available data and how to transform all that information into intelligence they can use t ...

Predictive policing: The future of law enforcement

Predictive policing: The future of law enforcement

As Dj Das, founder and CEO of Third Eye Consulting Services, sums it up, “For fighting crime and keeping every citizen safe, Microsoft has the most sophisticated cloud-based big da ...

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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Stacking up the cloud vendors: AWS vs. Microsoft Azure, IBM, Google, Oracle

It's not easy tracking the girth of public cloud providers amid run rates, as-a-service sales projections, and a lack of transparency. Here's how AWS stacks up against Microsoft Azure, IBM, Google, and Oracle. Amazon Web Services continues to lead the cloud pack as it delivered a 2016 operating profit of $3.1 billion on revenue of $12.22 billion, up from $7.88 billion in 2015. While analysts will fret about ...

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Global Hadoop Market will reach USD 87.14 billion by 2022

Global Hadoop Market will reach USD 87.14 billion by 2022: Zion Market Research According to the report, the global Hadoop market was valued at approximately USD 7.69 billion in 2016 and is expected to reach approximately USD 87.14 billion by 2022, growing at a CAGR of around 50% between 2017 and 2022. Sarasota, FL, Feb. 15, 2017 (GLOBE NEWSWIRE) -- Zion Market Research has published a new report titled “Ha ...

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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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Experts on the Pros and Cons of Algorithms | Pew Research Center

Code-Dependent: Pros and Cons of the Algorithm Age Algorithms are aimed at optimizing everything. They can save lives, make things easier and conquer chaos. Still, experts worry they can also put too much control in the hands of corporations and governments, perpetuate bias, create filter bubbles, cut choices, creativity and serendipity, and could result in greater unemployment (filistimlyanin/iStock.com) A ...

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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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50 Companies Leading the Artificial Intelligence Revolution

We know that artificial intelligence will soon reshape our world. But which companies will lead the way? To help ­answer that question, research firm CB Insights recently selected the “AI 100,” a list of the 100 most promising artificial intelligence startups ­globally. The private companies were chosen (from a pool of over 1,650 candidates) by CB Insights’ Mosaic algorithm, based on factors like financing ...

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Cognitive Computing: The Next Level of Intelligence

COGNITIVE COMPUTING: HOW TO TRANSFORM DIGITAL SYSTEMS TO THE NEXT LEVEL OF INTELLIGENCE  Cognitive Computing: What’s in a Name? Cognitive computing might be one of the many buzzwords that you today hear and see alongside such terms as Artificial Intelligence, Machine Learning, Deep Learning and Big Data. However, quite opposite to these terms, Cognitive computing, as it seems, does not have a clear definiti ...

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