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insideHPC Special Report Riding the Wave of Machine Learning & Deep Learning

AI, machine learning and deep learning are transforming the entire world of technology, but these technologies are only making headway now due to the proliferation of data. Companies first steps should include the “Five-step enterprise AI strategy”. To learn more about riding the wave of machine learning and deep learning download this insideHPC special report.

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.

Medable Launches Cloud-Based Machine Learning Solution for Healthcare

MEDABLE Inc., a leading application and analytics platform for healthcare, announced Cerebrum, the first cloud-based machine learning solution created specifically for healthcare apps. Cerebrum leverages data gathering smartphones with a first-of-its-kind machine learning engine, resulting in health events becoming more easily predicted, such as warning an elderly relative when he is at greatest risk of a fall, or preventing an asthmatic child from triggering a life threatening episode.

New Outage Prediction Model From The Weather Company, an IBM Business, Helps Utilities Prepare For and Respond to Severe Weather

The Weather Company, an IBM Business (NYSE: IBM), introduced a new outage prediction solution designed to help utility companies proactively prepare for and respond to weather-related outages. Tailored to each utility’s storm response plan, The Weather Company’s Outage Prediction solution helps predict the anticipated number of outages and appropriate mobilization level based on the weather forecast for the utility’s service territory.

How Machine Learning Will Impact MDM

In this special guest feature, Christophe Marcant, Senior VP for Strategy & Communication for Stibo Systems, explains how there is great opportunity to leverage machine learning (ML) to adapt data from a source to a consumer faster. So, rather than focusing on enforcing format and meaning to facilitate exchanges, ML will enable organizations to discover patterns in data, propose associations, correlations, and adaptation.

Machine Learning Tools You Should Know About

In this contributed article, tech writer Linda Gimmeson goes over a short list of the most popular developer tools for machine learning practitioners including Amazon Machine Learning, Tensor Flow, Azure Machine Learning Studio, H20, Caffe, MLlib, and Torch.

Predicting Mobile App User Churn: Training & Scaling Our Machine Learning Model

In this contributed article, Lisa Orr, senior data scientist at Urban Airship, describes how her team predicted mobile app user churn and Urban Airship trained and scaled their machine learning model over the last year — and how now it’s reaping valuable insights.

New Strategic Partnership Highlights Real Shape and Size of US Consumers

BodiData, Inc. a Silicon Valley-based technology company that specializes in generating big data on three-dimensional body measurements and Alvanon, the global apparel business expert, have signed a strategic partnership agreement that will deliver both big data and analysis on the shape and size of the diverse and complex US consumer population.

Using Machine Learning and Big Data Analytics to Improve Existing Business Systems

In this contributed article, Dan Adika, CEO and cofounder of WalkMe, discusses how big data, combined with machine learning and artificial intelligence, can contextually guide employees on how to use any system, provide businesses with insights into common technology obstacles, and ultimately personalize the user experience to drive greater adoption.

Quantifying Data Science

Our friends over at The Data Incubator just released a new series of data-driven ranking reports that showcase the quantitative methodologies the data science fellowship, hiring and training company uses to actively teach their fellows. The idea was to develop a more data-driven approach to what the company should be teaching in their data science corporate training and their free fellowship for masters and PhDs looking to enter data science careers in industry.