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Push to the Cloud: Five Things to Nail Down Before Making the Switch

In this special guest feature, John Mertic, Director of Program Management for ODPi and Open Mainframe Project at The Linux Foundation, makes the argument that “When it comes to your data in the cloud, there are certain pieces to the technology puzzle you should have nailed down with five baseline things to address – regardless of your IT, data output, cloud provider and security – before making the switch…”

Bigstep Introduces the First Open Data Exploration-as-a-Service

Bigstep, the big data cloud provider, announced the launch of Bigstep DataLab, a solution designed to enable data science and analytics at scale. Bigstep DataLab is an enterprise-ready data research service that gives domain experts, data scientists and BI specialists instant access to powerful software like Apache Spark and Jupyter for easier, more flexible and collaborative ad-hoc data exploration and research.

Survey of Available Machine Learning Frameworks

The presentation below, “Survey of Available Machine Learning Frameworks,” is provided by Brendan Herger of CapitalOne as part of the H2O World 2015 conference. Learning a new modeling framework is time consuming, and doesn’t always pay off. However, as more feature engineering and modeling frameworks become available, its difficult not to leverage their abilities.

Abraaj Drives Innovation in Private Equity Market with Implementation of RAVN’s Cognitive Search Solution

RAVN Systems, leading experts in Artificial Intelligence (AI), Search and Knowledge Management solutions, announced that The Abraaj Group (Abraaj), a leading investor operating in global growth markets, has successfully implemented RAVN Connect Enterprise, a cognitive search platform which intelligently transforms the way they locate, leverage and collaborate on expertise across their highly distributed network.

In the Future of Recruiting, AI Is an Ally

In this contributed article, Jerome Ternynck, CEO at SmartRecruiters discusses the impact AI and machine learning are having with day-to-day processes for talent acquisition teams. His company recently hosted a Hiring Success meetup and invited recruiting industry experts to share their thoughts on the future of AI and talent acquisition. Here are some of the overarching themes that came out of the event.

Looker Data Actions Simplifies Day-to-Day Workflows

Looker, the company that is powering data-driven businesses, released Data Actions — the seamless integration of fully functional 3rd-party business processes into a data platform. Looker customers can now take immediate action on discovered actionable analysis directly from within Looker, dramatically simplifying workflows and improving productivity.

How Big Data Will Impact Biomedical Research

In this contributed article, tech writer Linda Gimmeson discusses how today we see big data playing a part in biomedical research, and specifically three main ways that big data has impacted biomedical research include authorization, speedy results, and safer animal testing.

AI and Chatbots: Where we are and Where we’re headed

In this special guest feature, Kevin Curran, IEEE Senior Member and senior lecturer in computer science at Ulster University, takes a high-level view of one of the more popular AI-driven technologies we have seen this past year, and will continue to see in 2017 – chatbots.

Loggly Introduces Gamut™ Search for Massive-Scale Log Analysis

Loggly, the company behind the cloud-based, enterprise-class log management service, announced Gamut™ Search, the log analysis technology specifically designed to respond instantly for searches over massive data volumes covering long time periods. Rather than waiting hours or days for a query to complete, the new capabilities enable users to begin analyzing the entire range, or the “gamut” of their log data, immediately, in a highly interactive fashion.

IoT Analytics – Part 1

Contributed by Daniel D. Gutierrez, Managing Editor of insideBIGDATA, this is the first article in a series focusing on a technology that is rising in importance to enterprise use of big data – IoT Analytics, or the analytical component of the Internet-of-Things. In this first segment, we’ll set the stage for our discussion by providing an overview of the Internet-of-Things. The Internet of Things (IoT) is an emerging theme with wide technical, social, and economic significance. Consumer products, durable goods, automobiles, industrial equipment, utilities, various sensors, and other everyday devices are being combined with Internet connectivity and powerful analytics capabilities that promise to be transformative in terms of the way we live, work, and play.