#KnowYourData: The Key to Business

From PC Break/Fix to CloudMASTER®

By G C Network | August 29, 2016

https://www.linkedin.com/in/stevendonovan It was late 2011 and Steven Donovan was comfortable working at SHI International Corporation, a growing information technology firm, as a personal computer break/fix technician. His company had been…

Is Data Classification a Bridge Too Far?

By G C Network | August 17, 2016

Today data has replaced money as the global currency for trade. “McKinsey estimates that about 75 percent of the value added by data flows on the Internet accrues to “traditional”…

Vendor Neutral Training: Proven Protection Against Cloud Horror Stories

By G C Network | August 10, 2016

Cloud computing is now entering adolescence.  With all the early adopters now swimming in the cloud pool with that “I told you so” smug, fast followers are just barely beating…

Cognitive Business: When Cloud and Cognitive Computing Merge

By G C Network | July 21, 2016

Cloud computing has taken over the business world! With almost maniacal focus, single proprietors and Board Directors of the world’s largest conglomerates see this new model as a “must do”.…

Government Cloud Achilles Heel: The Network

By G C Network | July 9, 2016

Cloud computing is rewriting the books on information technology (IT) but inter-cloud networking remains a key operational issue. Layering inherently global cloud services on top of a globally fractured networking…

System Integration Morphs To Cloud Service Integration

By G C Network | June 19, 2016

Cloud Service Brokerage is changing from an industry footnote toward becoming a major system integration play.  This role has now become a crucial component of a cloud computing transition because…

Networking the Cloud for IoT – Pt 3 Cloud Network Systems Engineering

By G C Network | June 17, 2016

Dwight Bues & Kevin Jackson (This is Part 3 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design.  Networking the Cloud for IoT –…

Networking the Cloud for IoT – Pt. 2 Stressing the Cloud

By G C Network | June 12, 2016

Dwight Bues & Kevin Jackson This is Part 2 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design. Part…

Networking the Cloud for IoT – Pt. 1: IoT and the Government

By G C Network | June 7, 2016

  Dwight Bues & Kevin Jackson This is Part 1 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design:…

Parallel Processing and Unstructured Data Transforms Storage

By G C Network | May 31, 2016

(This post originally appeared on Direct2Dell, The Official Dell Corporate Blog) Enterprise storage is trending away from traditional, enterprise managed network-attached storage (NAS) and storage area networks (SAN) towards a…

Last week’s Strata-Hadoop conference in New York, NY was showcase of how big data is redefining business. Every company, every demonstration and every conversation highlighted how data is driving the exciting new business models unveiled at last week’s event.

I also learned quite a bit about the Trusted Analytics Platform (TAP). TAP is an open source project that Intel developed to make it easier for developers and data scientists to deploy custom big data analytics solutions in the cloud as well as reduce development costs and time to market. A few examples of how businesses are using TAP and data analytics to blaze new trails include:

  • Assistance Publique-Hôpitaux de Paris (AP-HP), the largest university hospital in Europe, worked together to build a cloud-based solution for predicting the expected number of patient visits and hospital admissions;
  • Levi Strauss & Co. explored the possibilities through a proof of concept that helped salespeople quickly find misplaced items in a store so they can ensure those items are on the shelves, in the right spots, and ready for customers,
  • The National Rural Electric Cooperative Association (NRECA) used advanced analytics to enhanced the visualization capabilities of the Open Modeling Framework (OMF), an electrical power grid modeling and simulation solution
  • Icahn School of Medicine at Mount Sinai (ISMMS) leveraged data science, graph analytics, and machine learning to enable faster discovery of new drug therapies. 
  • Doctors at Penn Medicine‘s heart failure and transplant program used big data to improve heart health by identifying patients who require proactive treatment. 

For me, one of the most fascinating briefing was from NASDAQ which evaluated TAP’s capability to serve as the core of an analytics-as-a-service platform. The financial juggernaut was able to demonstrate this open source platform’s ability to ingest 7 million 300 byte messages per second within their rather strict latency requirements. TAP essentially proved its ability to be the data and data-analytics hub of a financial transaction eco-system!

TAP’s real value lies in its ability to give application developers immediate access to several application language platforms. The associated runtimes, combine with dynamically bindable services and expressive APIs, to enable greatly reduced development timeframes.  This capability also simplifies integration with data analytical capabilities developed by the team’s data scientists.

At the Intel booth I also learned that TAP was being incubated by INTEL as an open source tool that makes it easier for organizations to create big data applications. TAP pulls together all the different required software and tools. The platform approach is designed to broaden the field of users who can develop these business changing applications. Intel is also partnering with systems integrators like Accenture and Infosys. They are also working with second tier cloud service providers Rackspace and OVH.com.

( This content is being syndicated through multiple channels. The opinions expressed are solely those of the author and do not represent the views of GovCloud Network, GovCloud Network Partners or any other corporation or organization.)

Cloud Musings

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