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Middle East tech leaders explore AI’s role in modern risk management

CIO Business Intelligence

In today’s fast-paced digital environment, enterprises increasingly leverage AI and analytics to strengthen their risk management strategies. A recent panel on the role of AI and analytics in risk management explored this transformational technology, focusing on how organizations can harness these tools for a more resilient future.

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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

The Relationship between Big Data and Risk Management. While the sophisticated Internet of Things can positively impact your business, it also carries a significant risk of data misuse. Tips for Improving Risk Management When Handling Big Data. Risk management is a crucial element of any successful organization.

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

O'Reilly on Data

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Model risk management. AI projects in financial services and health care.

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Publish and enrich real-time financial data feeds using Amazon MSK and Amazon Managed Service for Apache Flink

AWS Big Data

In this post, we demonstrate how you can publish an enriched real-time data feed on AWS using Amazon Managed Streaming for Kafka (Amazon MSK) and Amazon Managed Service for Apache Flink. There are also more complex indicators such as Relative Strength Index (RSI) that measures the momentum of a stock’s price movement.

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How A Data Catalog Enhances Data Risk Management

Alation

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. The Increasing Focus On Data Risk Management. Or, read on for a brief summary.

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Big tech companies commit to new safety practices for AI

CIO Business Intelligence

The signatories agreed to publish — if they have not done so already — safety frameworks outlining on how they will measure the risks of their respective AI models. The risks might include the potential for misuse of the model by a bad actor, for instance. So, in a way, it is a step towards ethical AI.”

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Vendor Security is Key to Preventing Future Data Breaches

Smart Data Collective

The number of data breaches in the first nine months of 2020 dropped 30% compared to 2019, according to a report published by the Identity Theft Resource Center. As data breaches continue to be a serious concern, organizations need to take stringent measures to protect against them.