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 ...

Deep Learning with Emojis (not Math) – tech-at-instacart

Sorting shopping lists with deep learning using Keras and Tensorflow. Shopping for groceries is hard. Stores are large and have complex layouts that are confusing to navigate. The hummus you want could be in the dairy section, the deli section, or somewhere else entirely. Efficiently navigating a store can be a daunting task. At Instacart, our customers can order millions of products from hundreds of retail ...

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Send Apache Web Logs to Amazon Elasticsearch Service with Kinesis Firehose | AWS Database Blog

We have many customers who own and operate Elasticsearch, Logstash, and Kibana (ELK) stacks to load and visualize Apache web logs, among other log types. Amazon Elasticsearch Service provides Elasticsearch and Kibana in the AWS Cloud in a way that’s easy to set up and operate. Amazon Kinesis Firehose provides reliable, serverless delivery of Apache web logs (or other log data) to Amazon Elasticsearch Servic ...

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Introducing Apache Arrow: A Fast, Interoperable In-Memory Columnar Data Structure Standard – Cloudera Engineering Blog

Engineers from across the Apache Hadoop community are collaborating to establish Arrow as a de-facto standard for columnar in-memory processing and interchange. Here’s how it works. Apache Arrow is an in-memory data structure specification for use by engineers building data systems. It has several key benefits: A columnar memory-layout permitting O(1) random access. The layout is highly cache-efficient in a ...

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Microsoft Updates its Deep Learning Toolkit | Cortana Intelligence and Machine Learning Blog

We are delighted to announce that Microsoft has brought Microsoft Cognitive Toolkit version 2.0 out of beta and is making the first release candidate available today. The toolkit, previously known as CNTK, is a system for deep learning used to speed advances in areas such as speech and image recognition and search relevance on CPUs and NVIDIA® GPUs. Cognitive Toolkit can be used on-premises or in the cloud ...

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An Exclusive Look at How AI and Machine Learning Work at Apple

Three years earlier, Apple had been the first major tech company to integrate a smart assistant into its operating system. Siri was the company’s adaptation of a standalone app it had purchased, along with the team that created it, in 2010. Initial reviews were ecstatic, but over the next few months and years, users became impatient with its shortcomings. All too often, it erroneously interpreted commands. ...

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Artificial intelligence: how it’s transforming financial services today

Artificial intelligence: how it’s transforming financial services today. As customers and employees demand better and faster ways to engage, organisations are turning to digital technology to help them transform, remain competitive and grow. For many firms transforming business operations via technology means improving how they interact with — and meet — customer needs. In fact, customer experience represen ...

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Google adds new data analytics and database offerings | ZDNet

Google adds new data analytics and database offerings For the first time, Google is directly integrating its advertising services with the Google Cloud Platform. Google on Thursday rolled out new data analytics and database products, allowing Cloud customers to better manage and more fully exploit their data.First, the company is introducing a new data transfer service for BigQuery, its data analysis servic ...

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Using Apache Spark for large-scale language model training | Engineering Blog | Facebook Code

Processing large-scale data is at the heart of what the data infrastructure group does at Facebook. Over the years we have seen tremendous growth in our analytics needs, and to satisfy those needs we either have to design and build a new system or adopt an existing open source solution and improve it so it works at our scale. For some of our batch-processing use cases we decided to use Apache Spark, a fast- ...

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Why Businesses are Leaning towards Machine Learning … 

Many companies are slowly waking up each day to the smell of a new coffee. It's called Machine Learning! Machine Learning is here to stay. It is expected to influence every aspect of life, including the way business decisions will be made in future. It's already happening. Machine Learning phenomenon: Machine Learning is a shortcut for machines or systems to learn the way decisions are made in life, which a ...

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Announcing real-time Geospatial Analytics in Azure Stream Analytics | Blog | Microsoft Azure

We recently announced the general availability of Geospatial Functions in Azure Stream Analytics to enable real-time analytics on streaming geospatial data. This will make it possible to realize scenarios such as fleet monitoring, asset tracking, geofencing, phone tracking across cell sites, connected manufacturing, ridesharing solutions, etc. with production grade quality with a few lines of code. The conn ...

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