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insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning

With AI and DL, storage is cornerstone to handling the deluge of data constantly generated in today’s hyperconnected world. It is a vehicle that captures and shares data to create business value. In this technology guide, insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning, we’ll see how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

Three Keys to Choosing a Data Center in the Age of AI

In this special guest feature, Steve Conner, Vice President of Solutions Engineering at Vantage Data Centers, discusses how AI is currently rewriting the rules of future computing. As AI becomes increasingly advanced, data centers must be able to adapt and scale to fit the needs of its clients.

“Above the Trend Line” – Your Industry Rumor Central for 10/29/2018

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Why We Paired Open Source and Managed Services to Optimize Our Database

In this contributed article, Ben Wu of Peloton goes through his company’s database/data strategy, deciding on open source NoSQL Apache Cassandra (why it made sense for them), overcoming problems with production systems, why managed databases fit into their future, and how he feels about the data stack moving forward.

MapR Announces Clarity Program for Cloudera and Hortonworks Customers with New Platform Update and Free Data Assessment Service

MapR® Technologies, Inc., provider of the data platform for AI and Analytics, announced the Clarity Program, a new product release and a free assessment service that provides a comprehensive understanding of a customer’s current data environment and the best practices to achieve a clear path to support AI, cloud, containers and IoT deployments.

Pyze Launches Next Generation Cross Channel Analytics & Marketing Automation Solution

Pyze, a leading AI driven cross-platform analytics and engagement platform, announced the general availability of its latest Growth Intelligence Platform release featuring the most advanced cross channel analytics solution in the industry. The release also features customizable user dashboards, and a powerful new user interface.

YotaScale Announces Autonomous Cloud Operations Platform

YotaScale, a leader in Autonomous Cloud Operations, announced the general availability of its customer-proven, AI-powered cloud operations platform. YotaScale delivers Autonomous Cloud Operations with a platform that provides intelligent, actionable insights to cloud operations, allowing teams to take ever-changing application needs into account and optimize the infrastructure to meet business needs.

Using Big Data to Identify Gentrification and the Need for Skilled Trades

In this contributed article, freelance human Avery Phillips discusses yet another application of big data, to analyze gentrification and urban renewal. Big data exists in part to tell a story — by identifying market trends in home building and calculating the demand for commercial space in a particular city or neighborhood, industry professionals can make informed decisions about potential real estate investments and construction-based job opportunities.

Is Big Data the Scapegoat for Consumers and Businesses Alike?

In this special guest feature, Greg Sparrow, Senior Vice President and General Manger at CompliancePoint, highlights several of his opinions on the role Big Data has evolved into, why it feels like Big Data is now the culprit, and the responsible way companies can use Big Data given all the changing regulations amidst talk of a National Privacy Law.

The Math Behind Machine Learning

What math subjects are used in machine learning, and how are they used? In this research paper by Richard Han, Ph.D., we look at the mathematics behind the machine learning techniques linear regression, linear discriminant analysis, logistic regression, artificial neural networks, and support vector machines.