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Enhancing Google Maps with Deep Learning and Street View

by Srini Penchikala on  Jun 13, 2017 1

Google's Ground Truth team recently announced a new Deep Learning model for the automatic extraction of information from geo-located image files to improve Google Maps. This neural network model achieved a higher accuracy in processing the challenging French Street Name Signs (FSNS) dataset.

Facebook Publishes New Neural Machine Translation Algorithm

by Roland Meertens on  May 24, 2017

Facebook’s Artificial Intelligence Research team published research results using a new approach for neural machine translation (NMT). Their algorithm scores higher than any other system on three established machine translation tasks.

Developing Virtual Assistant Apps with Amazon Lex and Polly Deep Learning Technologies

by Srini Penchikala on  May 22, 2017

Greg Bulmash from Amazon spoke at the OSCON 2017 Conference last week about developing your own virtual assistant applications using Amazon's Lex and Polly technologies.

Apache Metron Graduates to Top-Level Project

by Dylan Raithel on  May 18, 2017

Hortonworks and Apache announce graduation of Metron, a realtime big data security platform to top-level project at the ASF.

Confluent Cloud, Apache Kafka as a Service in AWS

by Alex Giamas on  May 18, 2017

Apache Kafka is a distributed, fault-tolerant pub sub messaging soltuion, originally developed by LinkedIn and open sourced. Confluent was formed by former LinkedIn engineers in the Kafka development group and today announced Confluent Cloud, a fully hosted and managed Apache Kafka as a Service in AWS. We also take a look at Confluent's second annual Streaming Data report and its findings.

Dani Traphagen on Next Phase of Distributed Systems with Apache Ignite

by Srini Penchikala on  May 15, 2017

Dani Traphagen from GridGain spoke at OSCON 2017 Conference about Apache Ignite platform. She talked about the paradigm shift in viewing the disk as a bottleneck, the decreasing costs of memory and how to optimize toward the cache, leveraging it for microservices architectures with the open source project Apache Ignite.

Emerging Technologies for the Enterprise Conference 2017: Day Two Recap

by Michael Redlich on  Apr 30, 2017

Day Two of the 12th annual Emerging Technologies for the Enterprise Conference was held in Philadelphia. This two-day event included keynotes by Blair MacIntyre (augmented reality pioneer) and Scott Hanselman (podcaster), and featured speakers Kyle Daigle (engineering manager at GitHub), Holden Karau (principal software engineer at IBM), and Karen Kinnear (JVM technical lead at Oracle).

Emerging Technologies for the Enterprise Conference 2017: Day One Recap

by Michael Redlich on  Apr 24, 2017

Day One of the 12th annual Emerging Technologies for the Enterprise Conference was held on Tuesday, April 18 in Philadelphia, PA. This two-day event included keynotes by Blair MacIntyre (augmented reality pioneer) and Scott Hanselman (podcaster), and featured speakers Monica Beckwith (JVM consultant at Oracle), Yehuda Katz (co-creator of Ember.js), and Jessica Kerr (lead engineer at Atomist).

Data Preparation Pipelines: Strategy, Options and Tools

by Srini Penchikala on  Apr 16, 2017

Data preparation is an important aspect of data processing and analytics use cases. Business analysts and data scientists spend about 80% of their time gathering and preparing the data rather than analyzing it or developing machine learning models. Kelly Stirman spoke last week at Enterprise Data World 2017 Conference about the data preparation best practices.

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.

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