Domino Data Lab

AUGUST 6, 2021

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.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Smart Data Collective

SEPTEMBER 17, 2020

Some prominent banking institutions have gone the extra mile and introduced software to analyze every document while recording any crucial information that these documents may carry. Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations.

Big Data 145

Big Data Finance Risk Management Risk 145

CIO Business Intelligence

JANUARY 21, 2025

Companies like CrowdStrike have documented that their AI-driven systems can detect threats in under one second. Aaron has 30 years of experience in managing cyber and technology risk, improving security maturity and integrating privacy for global organizations. For starters, its revolutionizing threat detection and response.

Behavioral Analytics 122

Behavioral Analytics Data-driven Risk Insurance 122

CIO Business Intelligence

JANUARY 14, 2025

Documentation and diagrams transform abstract discussions into something tangible. From documentation to automation Shawn McCarthy 3. Complex ideas that remain purely verbal often get lost or misunderstood. Experimentation: The innovation zone Progressive cities designate innovation districts where new ideas can be tested safely.

Enterprise 119

Enterprise Technology Metrics Measurement 119

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8]. That’s where model debugging comes in.

Machine Learning 276

Machine Learning Modeling Testing Risk Management 276

CIO Business Intelligence

FEBRUARY 21, 2025

When this review finally occurred and identified key issues, its findings were ignored, highlighting a systemic failure in the councils risk management approach, the report added. There are multiple reports including one from a manager at BCC highlighting the discrepancies at the Council, way back in June 2023.

Reporting 90

Reporting Risk Testing Risk Management 90

DataRobot Blog

NOVEMBER 17, 2022

What’s your AI risk mitigation plan? Just as you wouldn’t set off on a journey without checking the roads, knowing your route, and preparing for possible delays or mishaps, you need a model risk management plan in place for your machine learning projects. Document Design and Deployment For Regulations and Clarity.

Risk Management 52

Risk Management Risk Modeling Management 52

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.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

CIO Business Intelligence

DECEMBER 20, 2024

As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. as AI adoption and risk increases, its time to understand why sweating the small and not-so-small stuff matters and where we go from here. training image recognition models to misidentify objects).

Risk 105

Risk Measurement Modeling Interactive 105

CIO Business Intelligence

JUNE 6, 2024

RAI Institute described the template as an “industry-agnostic, plug-and-play policy document” that allow organizations to develop policies that are aligned with both business needs and risks.

Risk Management 131

Risk Management Risk Data-driven Consulting 131

CIO Business Intelligence

MAY 2, 2024

Security and risk management pros have a lot keeping them up at night. The digital injection attack A digital injection attack is when someone “injects” fake data, including AI-generated documents, photos, and biometrics images, into the stream of information received by an identity verification (IDV) platform.

Strategy 115

Strategy Risk Management Risk Measurement 115

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.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

JULY 1, 2024

By documenting cases where automated systems misbehave, glitch or jeopardize users, we can better discern problematic patterns and mitigate risks. Real-time monitoring tools are essential, according to Luke Dash, CEO of risk management platform ISMS.online.

Reporting 129

Reporting Risk Management Experimentation Risk 129

CIO Business Intelligence

MAY 24, 2022

Deloitte estimates that compliance costs for banks have increased by 60% since the financial crisis of 2008, and the Risk Management Association found that 50% of financial institutions spend 6 to 10% of their revenues on compliance. Depending on the risk level of certain individuals, background checks can range from two to 24 hours.

Risk 145

Risk Reporting Marketing Risk Management 145

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.

Risk 111

Risk Modeling IT Risk Management 111

erwin

FEBRUARY 20, 2020

Whether documenting systems and technology, designing processes and value streams, or managing innovation and change, organizations need flexible but powerful EA and BP tools they can rely on for collecting relevant information for decision-making. The Advantages of Enterprise Architecture & Business Process Modeling from erwin.

Enterprise 128

Enterprise Modeling Dashboards Visualization 128

Domino Data Lab

JULY 14, 2022

Rather, AI and ML models need to be monitored for validity, and often, they also need to be re-explained and re-documented for regulators. The financial services industries are starting to realize the full import of the fact that, like household chores like dishwashing and garden work, ML models are never really done.

Insurance 98

Insurance Modeling Management Risk Management 98

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.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. They can govern the implementation with a documented business case and be responsible for changes in scope. On the flip side, document everything that isn’t working. CFOs and CMOs are good fits.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

DataRobot Blog

JULY 22, 2022

At many organizations, the current framework focuses on the validation and testing of new models, but risk managers and regulators are coming to realize that what happens after model deployment is at least as important. They may not have been documented, tested, or actively monitored and maintained. Legacy Models. White Paper.

Modeling 105

Modeling Risk Management Testing Machine Learning 105

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.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

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 Cost-Benefit IT Risk 109

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.

Strategy 140

Strategy Risk Measurement IT 140

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.

Enterprise 131

Enterprise Digital Transformation Risk Management Risk 131

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137

IT Risk Cost-Benefit Data Science 137

O'Reilly on Data

JANUARY 22, 2019

However, it is a well documented fact that stocks, bonds, currencies, and commodities have fat-tailed distributions. Many institutions have dedicated analysts, including previous employees of the Fed, analyzing the Fed’s every document, speech, and event to try to estimate this parameter. Indeed, this parameter is hard to estimate.

Modeling 207

Modeling Finance Uncertainty Data mining 207

CIO Business Intelligence

OCTOBER 3, 2023

They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. Intelligent document processing: uses artificial intelligence and machine learning techniques to automate the processing of documents and unstructured data.

Cost-Benefit 122

Cost-Benefit Machine Learning Interactive Software 122

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

CIO Business Intelligence

SEPTEMBER 17, 2024

Sponsor for operational and risk management solutions While many business risk areas will find sponsors in operations, finance, and risk management functions, finding sponsors and prioritizing investments to reduce IT risks can be challenging.

Enterprise 145

Enterprise Digital Transformation Cost-Benefit Risk 145

CIO Business Intelligence

JUNE 27, 2024

They must also introduce operational processes document and disclose copyright-related information during dataset creation.” Effective risk management will be crucial for addressing legal and reputational risks, and innovation strategies may require adjustments to comply with regulatory standards.

Risk 128

Risk Measurement Risk Management Data-driven 128

CIO Business Intelligence

JUNE 26, 2023

The average mortgage requires 280 pages 2 of documents to be prepared, verified, and checked, contributing to an average cost of more than $11,000 in production expenses 3 per loan in the third quarter of 2022. Machine-managed risk Risk management is a top-of-mind issue for all financial services firms.

Data-driven 98

Data-driven Insurance Risk Risk Management 98

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.

Metadata 89

Metadata Risk Management Business Intelligence Data Governance 89

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.

Risk 98

Risk Risk Management Software Machine Learning 98

erwin

JULY 12, 2019

Modern, strategic data governance , which involves both IT and the business, enables organizations to plan and document how they will discover and understand their data within context, track its physical existence and lineage, and maximize its security, quality and value. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

MAY 13, 2024

It focuses on three core areas of documentation: compliance, risk management, and model lifecycle management — processes IBM says are intertwined. watsonx.governance is a toolkit for governing generative AI and machine learning models.

Machine Learning 122

Machine Learning Risk Enterprise Modeling 122

CIO Business Intelligence

MARCH 4, 2025

This diligence results in a decision matrix that balances investment, value, and risk. Download the AI Risk Management Enterprise Spotlight.) In addition, these parties may include legal, crisis management, LOB directors, business leaders team, communications, etc.

Testing 64

Testing Risk Consulting Risk Management 64