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Too Much Data? Issues Facing Brand Managers & Agencies

In this contributed article, Mathias Lanni, Executive VP, Marketing for Velocidi, highlights how to properly navigate your data and find the important metrics and KPIs. Proper data handling and analysis will often depend greatly on each individual company, yet there are still clear guidelines a brand manager can follow to make their lives easier – while producing better outcomes for their company and/or client.

Virtual GPUs: Accelerate Mobility, Productivity & Security in Healthcare

Many hospitals have turned to virtualization to provision high performance, secure virtual workstations using the compute power of a single physical hardware resource. That’s according to a new report from HPE, that explores how virtual GPU technology is helping to modernize healthcare data workloads.

The Practical Guide to Managing Data Science at Scale

Our friends over at Domino Data Lab, Inc. have written a new whitepaper “The Practical Guide to Managing Data Science at Scale” that aims to demystify and elevate the current state of data science management. They identify consistent struggles around stakeholder alignment, the pace of model delivery, and the measurement of impact. The root cause of these challenges can be traced to a set of particular cultural issues, gaps in process and organizational structure, and inadequate technology.

AI World – Industry’s Premier Event Focused on Enterprise AI – Boston, December 11-13

AI World will be held December 11-13, 2017 at the Boston Marriott Copley in Boston, MA. Now in its’ second year, AI World has become the industry’s largest event focused on the state of the practice of enterprise AI and machine learning. AI World’s mission is to enable enterprise business and technology executives to learn how to successfully harness intelligent technologies to build competitive advantage, drive new business opportunities and accelerate innovation efforts.

AI is Inspiring the Next Wave of Healthcare Advancement

Advancements in artificial intelligence, or AI, are revolutionizing healthcare and leading to breakthrough results in prediction and prevention. A new report from HPE focuses on how tech tools like GPUs and deep learning platforms are changing and advancing the health care industry.

Successfully Predict Content Users Will Like Using a Recommendation Engine

Recommendation engines can be used to improve businesses across industries, from media to e-commerce and more. A new report from Dataiku explores the ins and outs of these tools and explores how recommendation engines can be an effective way to drive more eyes to your content.

Intel’s New Processors: A Machine-learning Perspective

Machine learning and its younger sibling deep learning are continuing their acceleration in terms of increasing the value of enterprise data assets across a variety of problem domains. A recent talk by Dr. Amitai Armon, Chief Data-Scientist of Intel’s Advanced Analytics department, at the O’reilly Artificial Intelligence conference, New-York, September 27 2016, focused on the usage of Intel’s new server processors for various machine learning tasks as well as considerations in choosing and matching processors for specific machine learning tasks.

Monitoring and Machine Learning: How Close are We?

In this contributed article, SolarWinds head geeks Leon Adato and Destiny Bertucci explore best practices for preparing for the future of machine learning-enabled monitoring.

Integrating Big Data Tools Into Your Workflow

Technologies such as smart sensors and the Internet of Things (IoT) are enabling vast amounts of detailed data to be collected from scientific instruments, manufacturing systems, connected cars, aircraft and other sources. Dave Oswill, MATLAB product manager at MathWorks, shares how to integrate big data tools into your workflow.

“Above the Trend Line” – Your Industry Rumor Central for 10/23/2017

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 people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.