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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.

TOP 10 insideBIGDATA Articles for April 2017

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. We understand that busy big data professionals can’t check the site everyday.

Field Report: GPU Technology Conference 2017

I was very pleased to attend the GPU Technology Conference 2017 as the guest of host company NVIDIA on May 8-11 in Silicon Valley. This was my second GTC as I became acquainted with the GPU (graphics processing unit) universe last year while attending the conference. This Field Report chronicles what I saw and I’m delighted to share my experience with all of you!

Big Data Use Case – What Is Teradata IntelliCloud?

The insideBIGDATA technology use case guide – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when evaluating a cloud platform.

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.

Bringing Artificial Intelligence to Life

Artificial Intelligence (AI) may seem like a vision for a distant future, but in truth, AI is all around us as machines are increasingly learning to sense, learn, reason, act and adapt in the real world. This is transforming industries and changing our lives in amazing new ways, by amplifying human capabilities, automating tedious or dangerous tasks, and solving some of our most challenging societal problems. In this article, we’ll discuss the path to AI with Intel technologies.

Big Data Use Case – What Ticketmaster Learned

The insideBIGDATA technology use case guide – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when evaluating a cloud platform.

How Traditional Industries Are Using Machine Learning and Deep Learning to Gain Strategic Business Insights

Many enterprises are now embracing an accelerated path for accessing, and processing, and using data through machine learning. This article is part of a full report that explores trends in machine learning and deep learning.

ScaleMatrix Announces GPU-as-a-Service Solution Ideal for HPC, Deep/Machine Learning, and Artificial Intelligence Workloads

[GPU Technology Conference Coverage] ScaleMatrix, a leading provider of customer-premise and hosted cloud services for HPC and Big Data workloads delivered on the industry’s leading Dynamic Density Control™ (DDC) enclosure platform, announced a GPU-as-a-Service solution with the dense Graphics Processing Unit (GPU) power to deliver unprecedented efficiency gains at an affordable price point for today’s demanding HPC, Deep Learning and Artificial Intelligence (AI) workloads.

Intel Case Study: Speeding Up a Big Data Platform

In this technology cast study, we’ll examine MeritData, Inc., a leading big data analysis technology and service provider in China. The company’s product is called Tempo, a big data platform that has been widely used by well-known power, manufacturing, financial, and global enterprises and by cloud service providers. MeritData helps its customers explore and exploit data value―and ultimately creates value through data processing, data mining, and data visualization solutions. This is achieved through the fusion of high-performance computing (HPC) technology, leading data analysis algorithms, high-dimensional visualization, and creative data visualization language.