Join Us: Key considerations for an effective cloud strategy

It’s no secret that more and more companies are turning to cloud solutions to ignite innovation and reduce costs, and that growth is impacting vertical industries as well. Telco companies are tapping into cloud to enable faster development and delivery of new products, the energy, oil and gas market is looking to cloud-based high performance computing (HPC) to run a variety of data and compute-heavy applications, mobile payment processors in the financial services arena are working in the cloud, and researchers in the healthcare field are using cloud for big data analysis. If you’re one of many considering the move to cloud, join us for a webinar on September 5 as we review key considerations for implementing a cloud approach within your business.

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Containers can help energy, oil and gas companies accelerate adoption of cloud-based HPC.

More companies are adopting cloud-based high performance computing (HPC), especially in industries that require significant computational power. The energy, oil and gas markets are no exception. After all, they rely on advanced computer-aided engineering (CAE), advanced data analytics, seismic processing, and other data- and computationally-demanding applications. But implementing cloud-based HPC will require new approaches that deliver greater flexibility and ease deployments. One such solution? Containers.

oil pump

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Insurance providers should ensure that data gets a clean bill of health.

Recently, our family switched health insurance providers. Each family member had to go through various health checks, and each check was driven by the age of the family member concerned. I’d say this process has a lot to do with value based care—a healthcare model that prioritizes value over volume, which insurance companies are beginning to embrace. But it also may have to do with the fact that insurance companies are beginning to deliver tailored plans based on demographics and other factors. At the same time, insurance providers have seen continuous growth of data and now, with an effort to manage population health, this data can be extremely valuable in gleaning insight to better address patient needs, to improve the quality of care and to reduce costs. However, this insight is critically dependent on the health of the underlying data itself—data of all ages, if you will, that often span multiple generations! So, are insurance companies doing what it takes to effectively manage the health of their data?

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Tune In: Want to be a data-driven organization? Find out how in upcoming Red Hat webinar

Healthcare and financial services organizations rely heavily on data for day-to-day business needs, and many are embarking on big data initiatives to help them improve operations, gain competitive advantage, boost customer service and drive innovation. Other industries are also closely examining how big data can help them, including the telecommunications and oil and gas industries.

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CSC Big Data PaaS and Red Hat Linux: The platform for an open source, big data initiative.

A leading mutual insurance company is trialing telematics and big data to better understand the drivers it insures and to improve its pricing models, customer service and overall business strategy. Supporting the initiative is an open source, platform as a service (PaaS) computing solution from CSC that uses Hadoop and runs on Red Hat Enterprise Linux. The company’s story is a great example of how big data, PaaS, Linux, OpenStack and the right IT partners can help enterprises reduce data complexities, more quickly and easily deploy scalable IT solutions and develop analytical applications—and it is featured in this Red Hat webinar.

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Tune In: CSC shares powerful tools for improving big data insights

Managing and utilizing big data has become a huge priority for businesses today. According to IDC, our digital world is doubling in size every two years and will reach 44 zettabytes by 2020. Having the right tools to manage and generate insights from that data is critical. Today, deploying big data solutions is often rigid, tied to specialized hardware environments or unconventional data center procurement and configuration requirements. As an alternative, a cloud environment allows compute, storage and memory to be tailored to the workload, is highly scalable and maintains private control and security. Learn more about tapping into these benefits in our October 13 webinar.

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Capital One puts containers and microservices to work for its big data analytics tools.

Companies across industries continue to accumulate enormous amounts of data every day, and that’s good news, considering that 62 percent of them believe that big data has significant potential to create a competitive advantage, according to a report from PwC. Financial institutions are no different. What is critical, however, is the ability to store, access and analyze all that data so it can deliver real value. Capital One is well on its way, with a new project called the Analytics Garage that uses the agility of containers and software-defined storage to offer a big data analytics applications development platform that is scalable, fast and enables self-service.

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Industry consolidation, new applications advance big data challenges and opportunities in healthcare.

Market consolidation and new applications such as electronic medical records and data analytics are expanding big data’s role in the healthcare industry, and that is a big deal. After all, the data amounts and types are growing at much faster rates, which create both challenges and opportunities.

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Cloud computing is gaining as the IT foundation for an evolving healthcare industry.

The healthcare industry is undergoing a significant transformation, thanks to the Affordable Care Act (upheld again today, this time in a 6-3 Supreme Court decision). There are also ongoing pressures to reduce cost. All of this is forcing healthcare companies to rethink their business models and supporting IT systems, according to new analysis from Frost & Sullivan. The findings are part of Frost & Sullivan’s report, “The Future of IT in the Healthcare Industry in North America, Latin America, and Europe.”

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Red Hat and Hortonworks collaborate on a modern data architecture for financial services.

There are very few industries that are as data-centric as the banking and financial services industries. Every interaction that a client or partner system has with a banking institution produces actionable data that has potential business value, as well as a level of risk associated with it. To stay competitive, financial services institutions have to capture, store and analyze all this data to more accurately forecast market movement, understand operations, screen for fraud and comply with regulations.

For these reasons, the strategic alliance of Red Hat and Hortonworks is focused on helping financial services companies adopt enterprise Apache Hadoop and create competitive advantages by improving risk management, reducing fraud and improving investment decisions. 

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