SunGard launches Adaptiv Analytics for African banks
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To help banks in Africa address evolving risk requirements, SunGard has developed an advanced analytics engine that enables rapid credit risk reporting and analysis. Growing demands for greater understanding of counterparty risk and credit-valuation-adjustment (CVA) measures are driving firms to conduct scenario based risk and sensitivity analysis.
To help banks in Africa address evolving risk requirements, SunGard has developed an advanced analytics engine that enables rapid credit risk reporting and analysis.
Growing demands for greater understanding of counterparty risk and credit-valuation-adjustment (CVA) measures are driving firms to conduct scenario based risk and sensitivity analysis.
Added to this is the increasing pressure to be more responsive to evolving regulatory reporting requirements in rapidly changing markets such as Africa.
In response, SunGard has underpinned its Adaptiv Analytics solution with a combined hardware platform made up of computer and graphical processing units (CPUs and GPUs). This will help firms perform rapid, timely and accurate analytics driven by the analytical strength of the Adaptiv solution and the mass processing power of GPU technology.
Using the solution, firms can process up to 100 million valuations per second (vps) compared to an average processing power on a standalone CPU platform of approximately 22 million vps.
The new offering helps firms acquire low cost scalability to support firm’s future processing requirements without additional hardware or development costs.
Wissam Khoury, managing director Middle East and Africa, at SunGard, said: “Typically leveraging the advantages of GPUs would have been a costly exercise for banks, especially since GPU programmers are in high demand. The new offering from SunGard can help those who want to benefit from the processing power of GPU technology without the new to invest in new competencies.”
“We are able to now provide banks in Africa with a combined hardware platform underpinned by CPU and GPU technology. The real added value here is that banks can leverage their existing infrastructure and engineers without the need for any additional resource. We see the importance of helping banks accomplish higher speed risk analysis more cost effectively as a critical asset to future banking operations.”