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Big Data: Taking Advantage of the Opportunity

Everybody is abuzz about big data and the opportunities it presents to businesses. But few organizations are truly reaping the benefits of big data as many are overwhelmed by its sheer size. A new report from Pure Storage explores some of the ways to tap into the world of big data and AI.

Pure Storage Announces Significant Customer Momentum for AI and ML Workloads

Pure Storage® (NYSE: PSTG), a leading independent all-flash data platform vendor for the cloud era, announced significant customer momentum for FlashBlade™, the system purpose-built for modern analytics. Since general availability in January 2017, FlashBlade has gained traction among organizations running and innovating with emerging workloads, specifically modern analytics, artificial intelligence (AI) and machine learning (ML).

Building Fast Data Compression Code for Cloud and Edge Applications

Finding efficient ways to compress and decompress data is more important than ever. Compressed data takes up less space and requires less time and network bandwidth to transfer. In this article, we’ll discuss the data compression functions and the latest improvements in the Intel® Integrated Performance Primitives (Intel® IPP) library.

Book Review: Python Data Science Handbook

I recently had a need for a Python language resource to supplement a series of courses on Deep Learning I was evaluating that depended on this widely used language. As a long-time data science practitioner, my language of choice has been R, so I relished the opportunity to dig into Python to see first hand how the other side of the data science world did machine learning. The book I settled on was “Python Data Science Handbook: Essential Tools for Working with Data” by Jake VanderPlas.

The Importance of Machine Learning and of Building Data Sets

In this special guest feature, Chris Haddock, a software product manager with ADEC Innovations, discusses how the foundation of a machine learning project for companies large and small is training data that will be used to teach the machine to recognize patterns. The quality of the training depends on the quality of the data input.

How Can We Trust Machine Learning?

How Can We Trust Machine Learning? In this talk, Carlos Guestrin, CEO of Dato, Inc. and Amazon Professor of Machine Learning at the University of Washington, describes recent research and new tools with which companies can start to have the means to gain trust and confidence in the models and predictions behind their core business applications.

State of Artificial Intelligence for Enterprises

Business leaders looking for increased revenue, more efficiency and a better experience for their customers can have all of that — if they adopt artificial intelligence (AI) for their organization. That is the promise of AI that many businesses are actively investing in today. The hype evident in the commercial sector, from self-driving cars to […]

Artificial Intelligence in the Enterprise: The AI Race is On

Cylance® Inc., an antivirus industry company with AI-powered prevention that blocks everyday malware along with today’s most advanced cyberthreats, has announced the results of its inaugural report, Artificial Intelligence in the Enterprise: The AI Race is On. The survey, which polled 652 IT decision makers in the U.S., UK, Germany and France, found that optimism […]

Zaloni Introduces Data Lake with New Machine Learning Data Matching Technology

As an extension to its Data Lake Management Platform, Zaloni has introduced a machine-learning data matching engine, which leverages the data lake to create “golden” records and enable enriched data views for multiple use cases across business sectors.

Recommendation Systems – How the World Suggests What You Should Watch Next

From the medical industry to the entertainment industry, companies are now investing in big data and algorithm software to collect and analyze analytics to enhance user and client experience. In the infographic below, created by our friends at the New Jersey Institute of Technology’s Online Masters in Computer Science program, we take a closer look at recommender settings and their influence on what the world watches.