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Building a Machine Learning Platform at Quora

In this MLconf SF 2016 talk “Building a Machine Learning Platform at Quora,” Nikhil Garg, Engineering Manager at Quora, discusses the core ideas behind his company’s machine learning platform, as well as some of the specific systems, tools, and abstractions that have enabled the company to scale their approach to machine learning.

Attivio Raises the Bar with New Version of Cognitive Search and Insight Platform

Attivio, recently named a leader by Forrester in its report “The Forrester Wave™: Cognitive Search and Knowledge Discovery Solutions, Q2 2017,” announced the release of Attivio Platform 5.5, the latest version of its industry-leading platform. This version of the Attivio Cognitive Search and Insight Platform leverages next-generation cognitive capabilities, such as machine learning and natural language processing, to help enterprises fuel every decision and action with insight.

Go for Big Data

Many of the hottest modern infrastructure projects are powered by the Go programming language, including Kubernetes, Docker, Consul, etcd, and many more. Go is turning into a go to language for devops, web servers, and microservices. One route to providing robust, performant, and scalable data processing within Go is to utilize the Intel® Data Analytics Acceleration Library (Intel® DAAL) within Go programs.

OpenVX – The Standard for Computer Vision

OpenVX is an API enabling software developers to add hardware accelerated computer vision capabilities to their programs. Coupled with the current upswing in the use of deep learning technologies, computer vision applications with OpenVX are becoming very important. OpenVX is an integral part of Intel Computer Vision SDK. This comprehensive toolkit is for developing and deploying vision-oriented solutions on platforms from Intel, including autonomous vehicles, digital surveillance cameras, robotics, and mixed-reality headsets.

Making Machine Learning Simple

For enterprises who need to jump start into machine learning, Databricks provides the performance, reliability, and ease of use to tackle machine learning with big data. With Databricks, teams will be able to focus on solving hard machine learning problems instead of supporting infrastructure. To learn more on making machine learning simple download this white paper.

Interview: Matt Winkler, Group Program Manager for Machine Learning at Microsoft

In this podcast interview, we caught up with Matt Winkler, Group Program Manager for Machine Learning at Microsoft, to get his take on the upward trajectory of data science, machine learning and the cloud – specifically Azure. Matt leads a team crafting tools and services to enable data scientists and developers to do more with their data. Originally from St. Louis, Matt has been at Microsoft for 11 years working on developer tools and cloud services such as the .NET Framework, Visual Studio, Azure Websites, Data Lake and HDInsight.

7 Steps From Raw Data to Insight

Data scientists generally ascribe to the “machine learning process” which is seen as a roadmap to follow when working on a data science project. The infographic at the end of this article provides a detailed work flow that it is general enough to encompass pretty much any data science project.

Enterprise Software Tools for AI

This post delves into a variety of enterprise software options for AI. This article is part of a special insideHPC report that explores trends in machine learning and deep learning. Find out how businesses are using machine learning and deep learning, differentiating between AI, machine learning and deep learning, what it takes to get started, software tools for AI and more.

Differentiating between AI, Machine Learning and Deep Learning

With all the quickly evolving jargon in the industry today, it’s important to be able to differentiate between AI, machine learning and deep learning. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.

Machine Learning Is Over-hyped and It Is Vital We Start To Cut Through The Noise

Businesses are ultimately still at an early stage with their machine learning adoption and understanding its capabilities. More than 20 experts from world-leading organizations will speak at the upcoming Machine Learning Innovation Summit, which will take place this June 5-6 at the Marriott Union Square in San Francisco. Speakers from a diverse range of industries will take the stage.