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Ways in Which AI can Improve Enterprise Risk Management

bridgei2i

In dynamic markets, enterprises need to keep looking for ways to gain an edge over competitors to retain their position and stride forward to the top place. However, risk management is no way lagging. ERM or Enterprise Risk Management is being used to identify crises long before it blows up into a huge problem.

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Can Machine Learning Address Risk Parity Concerns?

Smart Data Collective

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. 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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Managing risk in machine learning

O'Reilly on Data

Fortunately there are members of our data community who have been thinking about these problems. One important change outlined in the report is the need for a set of data scientists who are independent from this model-building team. “How How to build analytic products in an age when data privacy has become critical”.

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Data protection strategy: Key components and best practices

IBM Big Data Hub

A good DLM process can help organize and structure critical data, particularly when organizations rely on diverse types of data storage. It can also help them reduce vulnerabilities and ensure data is efficiently managed, compliant with regulations, and not at risk of misuse or loss.

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Discovering Data Monetization Opportunities in Financial Services

Cloudera

Data has become an essential driver for new monetization initiatives in the financial services industry. Third party opportunities One way for financial services firms to monetize their data is by selling it to third parties. The post Discovering Data Monetization Opportunities in Financial Services appeared first on Cloudera Blog.

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3 key reasons why your organization needs Responsible AI

IBM Big Data Hub

Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 Organizations in highly regulated markets such as healthcare, government and financial services have additional challenges in meeting industry regulations around data and models. billion by 2025.

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Make data protection a 2023 competitive differentiator

IBM Big Data Hub

Differentiate your brand image with privacy practices rooted in data ethics When integrated appropriately, data protection and the surrounding data ethics creates a deep trust with clients and the market overall. It goes beyond preventing data breaches or having secure means for data collection and storage.