Adopting Big Data for Finance

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This article is the fourth 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.

European Commission to Invest €2.5 Billion in Big Data

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“In this talk we summarize the results of the BIG project including analysis of foundational Big Data research technologies, technology and strategy roadmaps to enable business to understand the potential of Big Data technologies across different sectors, together with the necessary collaboration and dissemination infrastructure to link technology suppliers, integrators and leading user organizations.”

Performance Optimization of Hadoop Using InfiniBand RDMA

DK Panda

“The Hadoop framework has become the most popular open-source solution for Big Data processing. Traditionally, Hadoop communication calls are implemented over sockets and do not deliver best performance on modern clusters with high-performance interconnects. This talk will examine opportunities and challenges in optimizing performance of Hadoop with Remote DMA (RDMA) support, as available with InfiniBand, RoCE (RDMA over Converged Enhanced Ethernet) and other modern interconnects.”

New Survey from GE and Accenture Finds Growing Urgency for Big Data Analytics

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A new global study, “Industrial Internet Insights for 2015,” from GE (NYSE: GE) and Accenture (NYSE:ACN) reveals there is a growing urgency for organizations to embrace big data analytics to advance their Industrial Internet strategy.

Lustre 101

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This week’s lustre 101 article looks at the history of lustre and the typical configuration of this high-performance scalable storage solution for big data applications.

Credit Scoring and Back Trading/Testing

Guide to Big Data Finance - Thumbnail

This article is the third 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.

Certona Launches Predictive Cloud for Digital Marketers and Retailers

Certona, a leader in real-time omnichannel personalization for the world’s largest brands and retailers, has introduced the Certona® Predictive Cloud™ to empower brands, technology providers, digital agencies and system integrators to create the next generation of highly personalized apps and services with full access to Certona’s open infrastructure.

Ask a Data Scientist: Recommender Systems

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Welcome to the first article in a weekly series called “Ask a Data Scientist.” Once a week until you’ll see reader submitted questions answered by a practicing data scientist. Think of this new insideBIGDATA feature as a valuable resource for you to get up to speed in this flourishing area of technology. If you have a big data question you’d like answered, please just enter a comment below, or send me an e-mail.

Dirk Slama Keynote on The Internet of Things

Dirk Slama, Director of Business Development, Bosch Software Innovations

“The vision for the Internet of Things is very powerful – a world in which assets, devices, machines, and cloud-based applications seamlessly interoperate, enabling new business models and services; with big data analytics as a foundation to support intelligent decision making in this connected world. As with every vision, the question is how to make it happen. This presentation provides key success factors for IoT, as well as a detailed overview of concrete IoT uses cases in the areas of automotive and transport, manufacturing and supply chain, as well as energy. Finally, a framework for IoT implementation is presented, which helps making your IoT projects a success.”

Optimizing Life Sciences – Deploying IBM Platform Computing

high performance infrastructure

In your world – numbers and data can save lives. Minutes and seconds absolutely matter. Whether engaged in genome sequencing, drug design, product analysis or risk management, life sciences research teams need high-performance technical environments with the ability to process massive amounts of data and support increasingly sophisticated simulations and analyses.