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Google Announces Cloud Machine Learning API Updates

by Srini Penchikala on  Apr 10, 2017

Google recently announced the Cloud Machine Learning API updates at the Google Cloud Next Conference. This includes a set of APIs in the areas of vision, video intelligence, speech, natural language, translation and job search.

Using Deep Learning Technologies IBM Reaches a New Milestone in Speech Recognition

by Srini Penchikala on  Mar 31, 2017

The research team at IBM recently announced they've reached a new industry record at 5.5%, using the SWITCHBOARD linguistic corpus. This brings us closer to what's considered to be the human error rate, 5.1%. They used deep learning technologies and acoustic models to accomplish this milestone.

Netflix Demonstrates Big Data Analytics Infrastructure

by Andrew Morgan on  Mar 21, 2017

At QCon San Francisco, engineers at Netflix discussed their big data strategy and analytics infrastructure. This included a summary of the scale of their data, their S3 data warehouse, and Genie, their big data federated orchestration system.

Apache Ranger Graduates to Top-Level Project

by Alexandre Rodrigues on  Mar 14, 2017

Apache Ranger, a security management framework for Apache Hadoop ecosystem, graduated to top level. Ranger is used as a centralized component to define and administer security policies that are enforced across supported Hadoop components such as Apache HBase, Hadoop (HDFS and YARN), Apache Hive, Apache Kafka, Apache Solr, among others.

Lightbend Speaks to InfoQ on Their Acquisition of OpsClarity

by Michael Redlich on  Feb 24, 2017

Nine months after acquiring BoldRadius, Lightbend announced their acquisition of OpsClarity, a company specializing in monitoring reactive applications. InfoQ interviewed Mark Brewer, president and CEO at Lightbend and Alan Ngai, co-founder of OpsClarity and now VP of cloud services at Lightbend to learn more about this new partnership.

Beam Graduates to Top-Level Apache Project

by Dylan Raithel on  Feb 21, 2017

Beam exits incubation period and graduates to top-level Apache project, Google support and contribution to open source integration for various data processing backends and more.

Deep Learning at Gilt

by Alex Giamas on  Feb 19, 2017

Deep Learning is a rapidly evolving subfield of Machine Learning originating from Neural Networks. Recent algorithmic advances and utilization of GPU parallelization have resulted in Deep Learning based algorithms mastering the game of Go as well as several practical applications. The fashion industry is one of the target sectors for Deep Learning. Gilt is using Deep Learning for real world apps

Microsoft AirSim, a Simulator for Drones and Robots

by Abel Avram on  Feb 16, 2017

Microsoft has developed and open sourced AirSim, a tool that can be used to simulate the flight of drones around the world. The simulator is built on the Unreal Engine and Microsoft will soon add support for robots and other types of vehicles.

Apache Flink 1.2 Released with Dynamic Rescaling, Security and Queryable State

by Alexandre Rodrigues on  Feb 15, 2017

Apache Flink 1.2 was announced and features dynamic rescaling, security, queryable state, and more. The release resolved 650 issues, maintains compatibility with all public APIs and ships with Apache Kafka 0.10 and Apache Mesos support. Flink’s dynamic rescaling allows one to change the parallelism of a streaming job or of an operator within the job.

MindMeld’s Guide to Building Conversational Apps

by Abel Avram on  Feb 03, 2017

MindMeld, a conversational AI company, has published The Conversational AI Playbook, a guide outlining the challenges and the steps to be made to create conversational applications.

Apache HBase 1.3 Ships with Multiple Performance Improvements

by Alexandre Rodrigues on  Jan 30, 2017

Apache HBase 1.3.0 was released mid-January 2017 and ships with support for date-based tiered compaction and improvements in multiple areas, like write-ahead log (WAL), and a new RPC scheduler, among others. The release includes almost 1,700 resolved issues in total.

Apache Eagle, Originally from eBay, Graduates to top-level project

by Alexandre Rodrigues on  Jan 24, 2017

Apache Eagle, an open-source solution for identifying security and performance issues on big data platforms, graduates to Apache top level project on January 10, 2017. Firstly open-sourced by eBay on October 2015, Eagle was created to instantly detect access to sensitive data or malicious activities and, to take actions in a timely fashion.

Improving Azure SQL Database Performance Using In-Memory Technologies

by Kent Weare on  Jan 21, 2017 4

In late 2016, Microsoft announced the general availability of Azure SQL Database In-Memory technologies. In-Memory processing is only available in Azure Premium database tiers and provides performance improvements for On-line Analytical Processing (OLTP), Clustered Columnstore Indexes and Non-clustered Columnstore Indexes for Hybrid Transactional and Analytical Processing (HTAP) scenarios.

Mathieu Ripert on Instacart's Machine Learning Optimizations

by Alexandre Rodrigues on  Jan 05, 2017

Instacart is an online delivery service for groceries under one hour. Customers order the items on the website or using the mobile app, and a group of Instacart’s shoppers go to local stores, purchase the items and deliver them to the customer. InfoQ interviewed Mathieu Ripert, data scientist at Instacart, to find out how machine learning is leveraged to guarantee a better customer experience.

Google BigQuery Adds New Public Datasets

by Alex Giamas on  Jan 05, 2017

Stack Overflow recently announced making its dataset available through Google’s BigQuery. Using regular SQL statements, developers can query the full set of Stack Overflow data including posts, votes, tags, and badges. In this article we explore datasets that are available through Google's BigQuery platform.

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