Augmented intelligence for banking and other industries with Simudyne and Cloudera - ERP Spain.com - España y América Latina

How good would your decisions be if you had all the facts, all the data? This goal is more and more a nirvana for organisations as the digital universe continues to grow in size. Data arrives at the speed of real time and from ever more sources both inside and outside the organisation. Fact-based decision-making—let alone the evaluation of what-if scenarios, ideas, and approaches—becomes increasingly impossible. Or does it?

Simudyne makes it possible through its platform, Providence. With the right mix of machine learning and the human mind, it leverages all your data to help you understand risk and gain the competitive edge. Your modelers and developers can create powerful AI simulations that leaders use to test what-if scenarios, refine strategies, and de-risk decision-making. In the banking and financial services sector in particular, Providence provides the ability to explore hypothetical scenarios and model complex risks (e.g., emerging requirements from central banks and regulators) thanks to the large-scale, orchestrated, and distributed simulations it enables at a lower cost than traditional approaches.

In this webinar, you will hear from Cloudera’s FS Director, Richard Harmon; Director of Data Science, Sean Owen; and Simudyne CEO and founder, Justin Lyon:

-How Cloudera’s Enterprise Data Hub supports an organisation’s need to handle and gain insight from ever-growing data volumes

-How Simudyne delivers augmented intelligence for decision support to reduce costs and improve risk management

-How banking and financial services companies, specifically, can leverage Providence’s simulation and predictive analytics

-Which use cases and industries beyond banking are equally suited for data-driven, predictive decision support