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Ayasdi Unveils Framework to Simplify and Speed Development of Intelligent Applications across the Enterprise

Ayasdi, a leader in machine intelligence software and a pioneer in enterprise-class intelligent applications, announced the release of Ayasdi Envision, a new framework to accelerate the creation of intelligent applications. Built on Ayasdi’s enterprise-class AI platform, the offering is the first of its kind to enable organizations to quickly create and consume intelligent applications that are purpose-built to solve a broad array of real-world business problems.

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.

How Enterprises Can Finally Capitalize on Machine Learning

In this special guest feature, Dr. Michael Zeller, SVP, AI Strategy & Innovation at Software AG, discusses how enterprises have reached a pivotal moment for operationalizing machine learning. For a while now artificial intelligence has been over hyped, its benefits over promised and, in the end, it always under-delivered. Now the hype is back stronger than ever. For AI to not fade away again, however, it needs to be made actionable.

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.

More to Machine Learning than Meets the Eye

In this special guest feature, Kevin Gidney, Co-Founder and CTO at Seal Software​, explores four main factors that go into creating advanced machine learning technology. There is a lot of required training and work that goes into developing successful machine learning solutions and not all ML is created equal.

Enterprise Applications of the R Language (EARL) Conference – San Francisco

It’s the home of big name companies like Google, Salesforce, Twitter, Uber, Airbnb and Yelp. San Francisco is the perfect place to celebrate and share the power of R. The Enterprise Applications of the R Language (EARL) Conference is happening in San Francisco on June 5-7, 2017.

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.

3 Major Impacts of Machine Learning on Manufacturing Today

In this special guest feature, Gary Brooks, CMO at Syncron, outlines three areas where manufacturers can incorporate machine learning today, and start seeing immediate results.

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.