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Cloudera wins Risk Markets Technology Award for Data Management Product of the year

Cloudera

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform. End-to-end Data Lifecycle.

Risk 88
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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

As governments gather to push forward climate and renewable energy initiatives aligned with the Paris Agreement and the UN Framework Convention on Climate Change, financial institutions and asset managers will monitor the event with keen interest. What are the key climate risk measurements and impacts? They need to understand; .

Risk 80
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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Additionally, they need streaming architectures to handle growing trade volumes, market volatility, and regulatory demands. We also used FactSet’s market data solutions for historical and streaming market quotes and trades.

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Banking on mainframe-led digital transformation for financial services

IBM Big Data Hub

Why mainframe application modernization stalls We’ve experienced global economic uncertainties in recent memory, from the 2008 “too big to fail” crisis to our current post-pandemic high interest rates causing overexposure and insolvency of certain large depositor banks. Why did they fail to launch a new mobile app?

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Emerging Trends: 4 IRM Market Insights to Aid COVID-19 Business Recovery

John Wheeler

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. IRM technology product leaders will need to develop IRM capabilities that are capable of addressing the IRM market insights outlined in this blog post. Key Findings.

Marketing 110
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Can Machine Learning Address Risk Parity Concerns?

Smart Data Collective

One of the most important changes pertains to risk parity management. We are going to provide some insights on the benefits of using machine learning for risk parity analysis. However, before we get started, we will provide an overview of the concept of risk parity. What is risk parity? What is risk parity?

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Back to the Financial Regulatory Future

Cloudera

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to fail since 2008.