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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

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What keeps IT leaders up at night?

CIO Business Intelligence

To gain a better understanding of what IT leaders are focused on when it comes to modernization Rocket Software conducted a survey of 275 U.S.-based Risk Management: Risk management is a critical focus for technology professionals. based IT directors and vice presidents in companies with more than 1,000 employees.

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Vendor Security is Key to Preventing Future Data Breaches

Smart Data Collective

As data breaches continue to be a serious concern, organizations need to take stringent measures to protect against them. One issue that they need to take into consideration is the importance of third-party data security risks caused by improper vendor security. The truth is that data breaches are as common as ever.

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What is GRC? The rising importance of governance, risk, and compliance

CIO Business Intelligence

As a result, managing risks and ensuring compliance to rules and regulations along with the governing mechanisms that guide and guard the organization on its mission have morphed from siloed duties to a collective discipline called GRC. These executive lead risk or compliance departments with dedicated teams. What is GRC?

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CIOs are worried about the informal rise of generative AI in the enterprise

CIO Business Intelligence

Employees are using it to develop software, write code, create content, and prepare sales and marketing plans. Today, it is, as they create a mysterious new risk and attack surface to defend against. In this case, the input contained the source code of software responsible for the company’s semiconductor equipment.

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Data protection strategy: Key components and best practices

IBM Big Data Hub

A data protection strategy is a set of measures and processes to safeguard an organization’s sensitive information from data loss and corruption. Data risk management To protect their data, organizations first need to know their risks. What is a data protection strategy?