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Configuration for Big-Data-as-a-Service

This white paper describes a new solution for Big-Data-as-a-Service combining the BlueData EPIC (Elastic Private Instant Clusters) software platform with the HPE Elastic Platform for Big Data Analytics (EPA). BlueData is transforming how enterprises deploy their Big Data applications and infrastructure. To learn more about Big-Data-as-a-Service download this white paper.

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.

Ranked: 15 Python packages for Data Science

At The Data Incubator we pride ourselves on having the latest data science curriculum. Much of our course material is based on feedback from corporate and government partners about the technologies they are looking to learn. This report is the second in a series analyzing data science related topics. We thought it would be useful to the data science community to rank and analyze a variety of topics related to the profession in a simple, easy to digest cheat sheet, ranking, or report. It’s our way of practicing what we teach.

Ranked: 16 R packages for Machine Learning

At The Data Incubator we pride ourselves on having the latest data science curriculum. Much of our curriculum is based on feedback from corporate  and government partners about the technologies they are looking to learn. However, we wanted to develop a more data-driven approach to what we should be teaching in our data science corporate […]

Amplifying Human Potential: Towards Purposeful Artificial Intelligence – A Perspective For CIOs

Infosys (NYSE: INFY), a global leader in consulting, technology, and next-generation services, released multinational research findings on artificial intelligence (AI) business impact, market maturity and expectations. The research report, Amplifying Human Potential: Towards Purposeful Artificial Intelligence, polled 1,600 senior business decision makers at large organizations across the world. The report revealed a clear link between […]

Executive Office of the President: Artificial Intelligence, Automation, and the Economy

Advances in Artificial Intelligence (AI) technology and related fields have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, economic inclusion, social welfare, and the environment. In recent years, machines have surpassed humans in the  performance of certain tasks related to intelligence, such as aspects of image […]

Predictive maintenance: How data can increase production

Predictive maintenance involves gathering targeted data for analysis, the results of which will help anticipate potential failures before they occur. Companies opt for this type of maintenance to avoid predictable incidents and repair equipment, assembly lines, or machinery with minimum impact on their operations. “Having to repair a faulty product is disastrous for a manufacturer’s brand image. But shutting down […]

2016 Data Science Salary Survey

In this fourth edition of the O’Reilly Data Science Salary Survey, the input was analyzed from 983 respondents working in the data space, across a variety of industries— representing 45 countries and 45 US states.

insideBIGDATA Guide to Machine Learning

Introduction to Machine Learning As the primary facilitator of data science and big data, machine learning has garnered much interest by a broad range of industries as a way to increase value of enterprise data assets. Through techniques of supervised and unsupervised statistical learning, organizations can make important predictions and discover previously unknown knowledge to provide actionable business intelligence. In this guide, we’ll examine […]

Machine Intelligence

This white paper is part 1 of a two part series where we uncover why machine intelligence is the key to solving the data integration challenge for the IIoT.