The State of Cloud Adoption in Financial Services at FIA Expo 2016

Posted by Gretchen Weaver on Mon, Oct 24, 2016 @ 12:50 PM

In marketing, we talk about product lifecycles and most often, the theory of diffusion of innovations is used to explain market growth, shifts, and declines. This theory, developed by Everett Rogers, attempts to explain how innovations are communicated among people in a social system. Others have attempted to bring forth modified ideas, like Malcom Gladwell in The Tipping Point, but despite being introduced in 1962, Rogers theory continues to hold its own, especially when looking at his “categories of adopters.”

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Topics: Financial Analysis

The Shift to Cloud in the Finance Sector

Posted by Gretchen Weaver on Thu, Oct 06, 2016 @ 03:04 PM

Information technology groups for the finance sector are unique in many ways, perhaps mostly regarding the need to make quick decisions using very large sets of data. Top performance can quickly position a company just right for market conditions. Like other industries, many financial services companies are turning to the cloud to increase computing capacity, but deciding how and when to use it continues to be topic of debate. In a few weeks, we will test the pulse of cloud adoption at the FIA Futures & Option Expo in Chicago to determine what has changed in financial services firms.

Last year at FIA, a panel openly discussed use of the cloud. In it, a few key points were summarized:

  • While cloud services were being heavily leveraged, the participating panelists supported a hybrid infrastructure model so that workloads demanding ultra low-response times (microseconds) could run “on-metal”.
  • Amazon Web Services users dominated the panel, with little mention of secondary or alternatives being tested.
  • Panelists overwhelmingly agreed that cloud security was likely better than that of their in-house data centers.
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Topics: Data Center Management, Hybrid Cloud NAS, Financial Analysis

Four Benefits of a Hybrid Cloud Infrastructure for Financial Services

Posted by Gretchen Weaver on Thu, Sep 15, 2016 @ 02:35 PM

Market forces and increased volatility are challenging financial service organizations to make changes that allow for operational efficiencies. How companies go about doing that varies widely, but the once shunned idea of using cloud service providers is becoming more and more attractive. Cloud resources can change the possibilities with nearly unlimited compute resources minutes away from deployment.

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Topics: HPC, Data Center Management, Financial Analysis

FinServ IT: Increase Alpha Throughput & Scalability

Posted by Gretchen Weaver on Mon, Aug 15, 2016 @ 03:05 PM

Hedge fund and investment managers seek better returns by analyzing many external datasets impacting the market. These analytics are driving decisions; however, most often the key resources on which the analysis depends are provided by the IT department — computing, networking, and data storage access.

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Topics: HPC, Cloud Compute, Financial Analysis

Cloud HPC: It’s Not Just for Supercomputing

Posted by Gretchen Weaver on Thu, Mar 31, 2016 @ 02:40 PM

As we head into a week of industry-specific conferences, the prediction of the rise of high-performance computing becomes reality. HPC Wall Street and Bio-IT World are not your typical Supercomputing conferences attended by those who work for supercomputing centers married to academia or national laboratories. These conferences are filled with systems engineers and IT professionals living in an HPC environment that was only recently built to support new demands.

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Topics: HPC, Life Sciences, Cloud Compute, Financial Analysis

Three Use Cases for Financial Modeling in the Cloud

Posted by Jeff Tabor on Mon, Jan 11, 2016 @ 07:30 AM

Financial services workloads require massive compute and storage resources. Finance IT organizations are faced with finding solutions that meet this demand by providing simpler, faster, and more economical access to both enterprise data centers and, more recently, cloud-based infrastructures. When built, analysts can run more simulations in less time, store more market data at reduced total cost of ownership (TCO), and run larger, more complex risk and backtesting models with the compute scale needed to return results within demanding timeframes.


Clients in this space are finding Avere file system and caching technology a perfect fit to accomplish these goals. In our recently released white paper, Winning Three Ways: Avere Hybrid Cloud NAS for Financial Use Cases, we dive into three use cases heating up in Wall Street technology.

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Topics: Hybrid Cloud NAS, Cloud Compute, Financial Analysis

Economics of Financial Modeling in the Cloud

Posted by Greg Ulepic on Fri, Nov 13, 2015 @ 09:39 AM

With more market data inputs and emerging regulatory requirements, the necessity to use more compute resources for financial models is expanding rapidly. Satisfying this demand means investing substantial capital dollars in IT infrastructure.

Alternatively, the case can now be made that low cost cloud computing resources can now be used for bursty workloads.

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Topics: Data Center Management, Cloud Compute, Financial Analysis