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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

In our experience, many of the most popular conference talks on model explainability and interpretability are those given by speakers from finance. After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Sources of model risk.

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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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Taking the risk out of the semiconductor supply chain

CIO Business Intelligence

Addressing semiconductor supply chain risks Even before the most recent supply chain challenges, political leaders around the world have been taking a close look at the current semiconductor supply chain model. Some of that risk is being addressed at national and regional levels, such as the U.S. CHIPS Act and the EU Chips Act.

Risk 96
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Structural Evolutions in Data

O'Reilly on Data

” Web3 has similarly progressed through “basic blockchain and cryptocurrency tokens” to “decentralized finance” to “NFTs as loyalty cards.” “Here’s our risk model. Bayesian data analysis and Monte Carlo simulations are common in finance and insurance.

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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

The EU has defined a sustainable finance framework to provide guidance and oversight in the goal of becoming the first climate-neutral continent. Firms face critical questions related to these disclosures and how climate risk will affect their institutions. What are the key climate risk measurements and impacts?

Risk 80
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AI Data, Traditional Trading, and Modern Investments

Smart Data Collective

Artificial intelligence is drastically changing the future of finance. One of the many ways that AI is being leveraged in finance is by helping improve the experience of investors. By analyzing, identifying, and predicting these trends, analysts are able to help their clients minimize risk while enjoying large returns.

Finance 145
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4 of the Biggest Data Breaches in Banking

Smart Data Collective

People use finances daily, but it doesn’t mean they are completely protected from data breaches. In 2008 they suffered a cyber incident which impacted more than 130 million debit and credit cards. We are not liable for risks or issues associated with using or acting upon the information on this site. Heartland Payment Systems.

Finance 131