Data Science 101: Scalable Machine Learning with Apache Spark

In the presentation below, courtesy of the SF Machine Learning Meetup group in San Francisco, Xiangrui Meng introduces Spark and show how to use it to build fast, end-to-end machine learning workflows.

IBM Unveils Watson Explorer to Drive Better Business Outcomes

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IBM (NYSE: IBM) has announced the availability of a cognitive-infused Watson Explorer, a powerful combination of data exploration and content analytics capabilities. Watson Explorer equips users with the information and analytics capabilities which can help them to deliver better performance and real-time results.

How ScaleOut Software Provides Operational Intelligence

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“In-memory data grids offer an important storage alternative that dramatically lowers cost and boosts application performance. The foundation of an IMDG is fast, scalable distributed caching, which keeps rapidly changing data close to where it is needed and quickly accessible.”

Data Science 101: Mining Big Data with Apache Spark

In this presentation and interactive demo, you’ll learn about data mining workflows, the architecture and benefits of Spark, as well as practical use cases for the framework.

Sumo Logic Launches Transaction Analytics to Transform How Companies Learn from Business Events

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Sumo Logic, the next generation machine data intelligence company, has announced availability of Transaction Analytics as a component of the Sumo Logic analytics platform to deliver deep visibility into causal relationships across distributed IT systems in order to better inform business decisions.

GridGain In-Memory Data Fabric

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This article is the fifth and last in an editorial series that will provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of business decisions, and use the insight to increase customer satisfaction and sales performance.

SAS Survey: Finding the Right Balance Between Personalization and Privacy

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A new survey from SAS, “Finding the Right Balance Between Personalization and Privacy,” finds a strong correlation between trust and willingness to share information on the part of the consumer. Trust in data security is by far the biggest factor when customers decide to provide information.

Data Science 101: Data Agnosticism – Feature Engineering Without Domain Expertise

From the SciPy2013 conference, here is a compelling talk “Data Agnosticism: Feature Engineering Without Domain Expertise” by Nicholas Kridler of Accretive Health in Chicago.

Free Promo Code for IS3 Cloud Conference, Oct. 27-28 in San Francisco

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We are pleased to offer our readers a free promo code for the IC3 Cloud Conference. The event takes place Oct. 27-28 in San Francisco.

Big Data for Finance – Security and Regulatory Compliance Considerations

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This article is the fifth and last in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.