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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. The solution should be scalable, cost-efficient, and straightforward to adopt and operate. We also used FactSet’s market data solutions for historical and streaming market quotes and trades.

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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.

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Can Machine Learning Address Risk Parity Concerns?

Smart Data Collective

We talked about the benefits of AI for consumers trying to improve their own personal financial plans. 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. What is risk parity?

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11 Financial Model Examples & Templates for 2021

Jet Global

Risk management. That means the FP&As are the people creating the budget and performing financial forecasting to help the CFO and other members of senior management understand the company’s financial situation. It is typically used to predict future revenues, expenses, and capital costs. Prioritizing projects.