DataRobot Blog

APRIL 29, 2022

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. However, after the financial crisis, financial regulators around the world stepped up to the challenge of reigning in model risk across the financial industry.

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IBM Big Data Hub

FEBRUARY 13, 2024

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Generative AI proves highly useful in rapidly creating various types of documentation required by coders. Automate tedious, repetitive tasks.

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CIO Business Intelligence

DECEMBER 19, 2023

Create these six generative AI workstreams CIOs should document their AI strategy for delivering short-term productivity improvements while planning visionary impacts. These workstreams require documenting a vision, assigning leaders, and empowering teams to experiment.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

IBM Big Data Hub

DECEMBER 8, 2023

While plans will vary by necessity, here are five key steps to building a successful risk mitigation strategy: Step 1: Identify The first step in any risk mitigation plan is risk identification. Bring in stakeholders from all aspects of the business to provide input and have a project management team in place.

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CIO Business Intelligence

NOVEMBER 3, 2023

What’s more, when dealing with vast repositories of documents such as contracts, AI allows users to request specific actions, such as which contracts are affected by a change in law or by new regulations. Automation elevates risk management, opportunity identification and effective relationship management.

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erwin

SEPTEMBER 3, 2020

It documents your data assets from end to end for business understanding and clear data lineage with traceability. Data governance and EA also provide many of the same benefits of enterprise architecture or business process modeling projects: reducing risk, optimizing operations, and increasing the use of trusted data.

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IBM Big Data Hub

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Capture and document model metadata for report generation. Increase trust in AI outcomes.

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IBM Big Data Hub

DECEMBER 4, 2023

The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. Customer engagement Providing insurance coverage involves working with numerous documents. IBM works with several insurance companies to identify high-value opportunities for using generative AI.

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DataRobot Blog

APRIL 11, 2022

An AI impact assessment will carefully document the harms for each stakeholder. It is designed by humans, built by humans, managed by humans, with the objective to serve human goals. Your documentation should describe how the AI system contributes to human values and human rights. Imperfection. Conclusion.

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CIO Business Intelligence

JANUARY 19, 2024

“It’s a key issue that needs attention, and a CIO can and should set the tone and practices for effective stakeholder management,” says Brett Tucker, an adjunct professor of cyber risk management at Carnegie Mellon University’s Heinz College.

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IBM Big Data Hub

OCTOBER 30, 2023

Five documented questions and answers must be included in all incident reports with responses containing high levels of detail for the “reasonable investor” to gain insight into the data breach. Among the passed regulations were updated requirements for Form 8-K reporting as well as new guidance for Form 10-K Amendments.

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John Wheeler

OCTOBER 20, 2020

We continue our “20 for 20” theme this year by highlighting the integrated risk management (IRM) critical capabilities and top 20 software functions / features. These five capabilities support both integrated view of strategic, operational and technology risk as well as the related business outcomes, processes and assets.

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CIO Business Intelligence

APRIL 14, 2023

Involving IT and innovation groups can help show that the policy isn’t just a clamp-down from a risk management perspective, but a balanced set of recommendations that seek to maximize productive use and business benefit while at the same time manage business risk.

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erwin

MARCH 25, 2021

Risk Management and Regulatory Compliance. Risk management, specifically around regulatory compliance, is an important use case to demonstrate the true value of data governance. According to Pörschmann, risk management asks two main questions. How likely is a specific event to happen? “You

Data Governance 109

Data Governance IT Cost-Benefit Risk 109

IBM Big Data Hub

OCTOBER 4, 2022

This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. The ability to track and share model facts and documentation across the organization provides backup for analytic decisions. Model risk management is used to identify, manage, monitor and report on risk and compliance initiatives at scale.

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CIO Business Intelligence

SEPTEMBER 7, 2023

Established risk management framework to evaluate the use cases and validate the controls to manage relevant risks Continuous authentication and authorization to maintain the principles of least privilege and context of user entitlement.

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Risk Management Risk Testing Digital Transformation 98

IBM Big Data Hub

APRIL 4, 2024

Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few. A third-party risk management review, where the ISV needs to describe how it is complying to required controls. Most of these new technologies are born-in-cloud.

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IBM Big Data Hub

OCTOBER 26, 2023

A corporate sustainability report is a comprehensive document that outlines a company’s efforts, policies, practices and performance related to social, environmental and economic sustainability. If the weather plays a major role in business and affects corporate sustainability goals, then the focus will be on climate risk management.

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erwin

SEPTEMBER 17, 2020

For example, automatically importing mappings from developers’ Excel sheets, flat files, Access and ETL tools into a comprehensive mappings inventory, complete with auto generated and meaningful documentation of the mappings, is a powerful way to support overall data governance. Data quality is crucial to every organization.

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DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States. To reference SR 11-7: .

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erwin

OCTOBER 17, 2019

it ensures not only access to proper documentation but also current, updated information. The Regulatory Rationale for Integrating Data Management & Data Governance. Data security/risk management. In an M&A scenario, businesses need to ensure their systems are fully documented and rationalized.

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Enterprise Digital Transformation Data Governance Risk Management 106

erwin

APRIL 30, 2021

Priority 3: Risk Management – Security and Compliance. Businesses are paying close attention to risk from internal and external sources. Understanding the applications you have, the applications in use, and the applications that are ripe for retirement is an important part of running an efficient IT operation.

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erwin

AUGUST 20, 2020

As a practice, EA involves the documentation, analysis, design and implementation of an organization’s assets and structure. With an enterprise architecture management suite (EAMS) , an organization can define and document its structure to more effectively determine how to achieve its goals. Innovation Management.

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Enterprise Cost-Benefit Risk Data Governance 140

John Wheeler

JUNE 29, 2018

The same can occur for integrated risk management (IRM) technology customers. At the same time, IRM technology must ensure the objectives remain in alignment with the risk management goals of key stakeholders such as the board of directors, senior executives, regulators and investors. Vendor Risk Management.

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CIO Business Intelligence

JUNE 8, 2023

It’s a crucial role for businesses to ensure they have the right IT pros to handle troubleshooting, incident and risk management, application maintenance and monitoring, and maintaining proper documentation of issues.

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Smart Data Collective

SEPTEMBER 7, 2021

Properly safeguard physical documents. You and your employees should treat sensitive paper documents with the same level of attention as you treat your online transactions. You and your employees should treat sensitive paper documents with the same level of attention as you treat your online transactions.

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Cloudera

AUGUST 12, 2021

In a 2021 white paper titled “Data Excellence: Transforming manufacturing and supply systems“ written by the World Economic Forum and the Boston Consulting Group, it documented that 75% of executives interviewed believed that advanced analytics in manufacturing was more important today than three years ago. Risk Management.

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CIO Business Intelligence

MARCH 24, 2023

They must be accompanied by documentation to support compliance-based and operational auditing requirements. It must be clear to all participants and auditors how and when data-related decisions and controls were introduced into the processes. Data-related decisions, processes, and controls subject to data governance must be auditable.

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DataRobot

JANUARY 18, 2022

The purpose of these checklists is to avoid complacency and to ensure conscious observation of risk management. AI governance should be proportionate to the risk. But when there is material risk, it helps to list, then consciously investigate these risks. The Need For Documentation. Describing an AI System.

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CIO Business Intelligence

SEPTEMBER 20, 2023

The best way to address this gap is to draft a simple vision statement written by product managers and delivery leaders in collaboration with stakeholders and agile teams. The writing process builds trust, and a documented vision builds a shared understanding of priorities.

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CIO Business Intelligence

JANUARY 24, 2024

We’re piloting a way to do automated payments to subcontractors based on work in place that’s been identified with photo and video documentation,” Higgins-Carter says. There’s also investment in robotics to automate data feeds into virtual models and business processes.

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CIO Business Intelligence

JUNE 12, 2023

In 2012, COBIT 5 was released and in 2013, the ISACA released an add-on to COBIT 5, which included more information for businesses regarding risk management and information governance. Other changes included minor edits to terminology and phrasing used throughout the documentation.

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Risk Management Strategy Digital Transformation Enterprise 94

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

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CIO Business Intelligence

AUGUST 30, 2023

Another CIO pointed to reading and implementing some of the concrete steps offered by the National Institute of Standards and Technology Artificial Intelligence Risk Management Framework report. This includes documentation of the risks and potential impacts of AI technology.

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CIO Business Intelligence

NOVEMBER 23, 2022

Unlike other frameworks, EA doesn’t include a formal documentation structure; instead, it’s intended to offer a more holistic view of the enterprise. EA is also used in systems development, IT management and decision-making, and IT risk management to eliminate errors, system failures, and security breaches.

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O'Reilly on Data

MAY 18, 2020

Materiality is a widely used concept in the world of model risk management , a regulatory field that governs how financial institutions document, test, and monitor the models they deploy. How Material Is the Threat? Transparency Is Key.

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CIO Business Intelligence

OCTOBER 13, 2023

The role of algorithm engineer requires knowledge of programming languages, testing and debugging, documentation, and of course algorithm design. They help direct customers to the right associates, connect users with important documentation, and can alleviate some of the load on customer service representatives.

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