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#KnowYourData: The Key to Business

Transformation Network

By pwsadmin | May 15, 2021

The Achilles heel of every transformative business model is their reliance on ever increasing amounts of data that need to be transported quickly across wide area networks and processed at edge computing end points. To meet this expected demand, the global telecommunications industry is rapidly moving toward a future in which networks must have the…

Essential Characteristics of Cloud Computing as Digital Transformation

By pwsadmin | May 15, 2021

Hybrid IT blends traditional datacenters, managed service providers, and cloud service providers to deliver the necessary mix of information technology services. This IT consumption model enables a composable infrastructure which describes a framework whose physical compute, storage, and network fabric resources are treated as services. Resources are logically pooled so that administrators no longer need…

Transformation Innovation

By pwsadmin | May 15, 2021

4 Factors Driving Digital Transformation ROI The critical assessment factors for cloud ROI risk probability are the following:      Infrastructure utilization Speed of migration to cloud Ability to scale business/mission processes Quality delivered by the new cloud-based process  These four factors directly drive digital transformation ROI because they affect revenue, cost, and the time required to…

Transformation Frameworks

By pwsadmin | May 15, 2021

Digital transformation necessitates changes in an organization’s operational processes. According to Harvard, a focus on operations can lead to business process optimization and entirely new revenue streams. Three common routes for this are the following:      Robotic process automation (RPA) which uses artificial intelligence to automate routine activities      Remote worker enablement that uses workspace virtualization and…

Transformation Infrastructure

By pwsadmin | September 26, 2020

Hybrid IT enables a composable infrastructure which describes a framework whose physical compute, storage, and network fabric resources are treated as services. Resources are logically pooled so that administrators need to physically configure hardware to support a specific software application, which describes the function of a composable architecture. This type of transformative infrastructure is foundational…

Essential Characteristics of Cloud Computing as Digital Transformation

By pwsadmin | September 25, 2020

A survey of 2,000 executives conducted by Cognizant in 2016 identified the top five ways digital transformations generate value:      Accelerating speed to market      Strengthening competitive positioning      Boosting revenue growth      Raising employee productivity      Expanding the ability to acquire, engage, and retain customers   Digital transformation is also a cultural change. Cloud Computing as Digital Transformation Since cloud…

Embrace Transformation

By pwsadmin | September 22, 2020

From a business perspective, differentiating business processes and quality customer service are central to overall success. Business leaders must therefore clearly identify and measure how information technology contributes to the value of every key business process. They must also know how to most cost effectively use IT when the task is merely the management of…

Computer Vision Advances Zero-Defect Manufacturing

By pwsadmin | July 25, 2020

by Kevin L. Jackson Electronics manufacturers operate in a challenging environment. It’s hard enough to keep up with the ever-accelerating rate of change in the industry. Now customers want increasingly specialized product variations in less time and of higher quality. Meeting this demand for increased product variation can seriously impact the bottom line. Such variability increases…

Real-Time Analytics Power the Roadway of the Future

By pwsadmin | July 25, 2020

By Kevin L. Jackson The complexities of citywide traffic are pushing the limits of existing transportation management systems. Outdated infrastructure is based on proprietary, single-purpose subsystems, making it costly to acquire, operate, and maintain. And current roadways are simply not prepared for the future of autonomous vehicles. Enter the SPaT Challenge, an initiative encouraging cities and…

Thriving on the Edge: Developing CSP Edge Computing Strategy

By pwsadmin | March 6, 2020

Communications Service Providers (CSPs) are facing significant business model challenges. Referred to generally as edge computing, the possibilities introduced by the blending of 5G networks and distributed cloud computing technologies are redefining how CSPs operate, partner, and drive revenue. A new Ericsson Digital whitepaper entitled, “Edge computing and deployment strategies for communication service providers,” addresses these challenges…

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

( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2016)

Follow me at https://Twitter.com/Kevin_Jackson
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