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. Lastly, CLTR said, capacity to monitor, investigate, and respond to incidents needs to be enhanced through measures such as the establishment of a pilot AI incident database.

Reporting 129

Reporting Risk Management Experimentation Risk 129

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. Residual analysis.

Machine Learning 194

Machine Learning Modeling Testing Risk Management 194

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 Risk 105

erwin

MARCH 25, 2021

Usually we talk about benefits which are rather qualitative measures, but what we need for decision-making processes are values,” Pörschmann says. “We Risk Management and Regulatory Compliance. Risk management, specifically around regulatory compliance, is an important use case to demonstrate the true value of data governance.

Data Governance 109

Data Governance IT Cost-Benefit Risk 109

erwin

APRIL 21, 2020

By combining physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals, you can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

As COVID-19 continues to spread, organizations are evaluating and adjusting their operations in terms of both risk management and business continuity. One example is the European Union (EU) Open Data Portal , which is used to document, catalog and govern EU data related to the pandemic.

Measurement 96

Measurement Sales Data Governance Metadata 96

CIO Business Intelligence

AUGUST 30, 2023

One executive said that it’s essential to toughen up basic security measures like “a combination of access control, CASB/proxy/application firewalls/SASE, data protection, and data loss protection.” This includes documentation of the risks and potential impacts of AI technology.

Enterprise 132

Enterprise Risk Measurement Software 132

CIO Business Intelligence

DECEMBER 6, 2024

Develop an AI platform and write a gen AI playbook to allow it to move quickly without shortchanging on security and governance measures. The model has five core pillars that guide the introduction of all new technology and provide a roadmap for assessments, evaluations, and approvals: Discover, Ideate, Elaborate, Execute, and Measure.

Marketing 121

Marketing Technology Risk Measurement 121

Octopai

JULY 9, 2020

It required banks to develop a data architecture that could support risk-management tools. Not only did the banks need to implement these risk-measurement systems (which depend on metrics arriving from distinct data dictionary tools), they also needed to produce reports documenting their use.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

CIO Business Intelligence

JUNE 8, 2023

This role helps oversee the development of new systems, working alongside software developers and hardware engineers with an eye on quality control measures and maintaining a steady pace toward established milestone goals.

IT 140

IT Digital Transformation Software Risk 140

Cloudera

JUNE 12, 2024

Traditional machine learning (ML) models enhance risk management, credit scoring, anti-money laundering efforts and process automation. Some of the biggest and well-known financial institutions are already realizing value from AI and GenAI: JPMorgan Chase uses AI for personalized virtual assistants and ML models for risk management.

Finance 79

Finance Risk Management Risk Data-driven 79

CIO Business Intelligence

JULY 25, 2024

What is your concentration risk tolerance? Moving forward, understanding your organization’s exact acceptable level of concentration risk will be a key concern. Boards will be wanting management teams to measure this risk so they can define what their tolerances should be.

Risk 144

Risk Cost-Benefit Strategy Enterprise 144

CIO Business Intelligence

MARCH 24, 2023

They must be accompanied by documentation to support compliance-based and operational auditing requirements. Key features include a collaborative business glossary, the ability to visualize data lineage, and generate data quality measurements based on business definitions.

Data Governance 142

Data Governance Management Metadata Data Quality 142

DataRobot Blog

JULY 21, 2022

Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. dashes and parentheses in telephone numbers) Inconsistent units of measure (e.g., Create model compliance documentation for regulated industries. Define project scope.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

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 94

Risk Measurement Modeling Interactive 94

IBM Big Data Hub

MAY 28, 2024

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?

Strategy 81

Strategy Measurement Risk Cost-Benefit 81

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.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135

erwin

FEBRUARY 4, 2021

While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in complexity because of more: Data to handle, much of it unstructured.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

DataRobot

JULY 16, 2021

Accuracy — this refers to a subset of model performance indicators that measure a model’s aggregated errors in different ways. Robust documentation throughout the end- to-end modeling workflow is one of the strongest enablers of compliance. Security — large amounts of sensitive data are analyzed or transmitted with AI systems.

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. End-users often struggle to find relevant information buried within extensive documents housed in data lakes, leading to inefficiencies and missed opportunities.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Modeling 98

CIO Business Intelligence

AUGUST 30, 2024

The two hour and 45-minute exam of 90 mostly multiple-choice scored questions and 25 pretest questions, covers talent acquisition, HR administration and shared services, talent management and development, compensation, benefits, work experience, employee relations, risk management, and HR info management.

Cost-Benefit 118

Cost-Benefit Risk Management Strategy Testing 118

CIO Business Intelligence

DECEMBER 20, 2024

Further, no agencies fully mapped mitigation strategies to risks, because the level of risk was not evaluated. Moreover, some broad mitigation strategies are valuable to implement regardless of specific risk (such as ensuring explainability or having regular audits).

Risk 72

Risk Reporting Strategy Risk Management 72

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.

Risk Management 94

Risk Management Strategy Digital Transformation Enterprise 94

Alation

AUGUST 17, 2022

Constellation Analyst Dion Hinchcliffe suggests that functions should be loosely integrated into the following streams: Governance, risk, compliance. Enterprise risk management. Data management. Risk, however, is a different challenge. While risk may be defined, it might not be well addressed.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

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.

Risk Management 52

Risk Management Risk Predictive Modeling Insurance 52

CIO Business Intelligence

OCTOBER 2, 2024

Risk management Imagine if you had to evacuate a six-mile radius due to a toxic substance being released into the air from one of your plants, such as what happened in 2020 at a well-known company’s food plant in Camilla, GA.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

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.

Risk 67

Risk Strategy Risk Management Insurance 67

Smart Data Collective

MAY 25, 2023

Fortunately, there are a number of measures that small businesses can take to protect their sensitive information from unauthorized access. Cybercriminals target these businesses primarily due to their resource inadequacy and often lack of progressive cyber security measures. Additionally, cybercrime costs SMEs over $2.2

Internet of Things 99

Internet of Things Cost-Benefit Risk Software 99

CIO Business Intelligence

JULY 6, 2023

From 1 January 2024, the provisions relating to supplier risk management will also apply to companies with more than 1,000 employees. CYVC offers the possibility to process large amounts of data (semi-) automatically in a short time frame and identifies risks based on different assessment methods.

Cost-Benefit 96

Cost-Benefit Risk Digital Transformation Risk Management 96

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

DECEMBER 5, 2022

Quality management: Identify quality requirements. Human resource management: Plan and identify human resource needs. Communications management: Plan stakeholder communications. Risk management: Perform qualitative and quantitative risk analysis, plan risk mitigation strategies.

Management 134

Management Cost-Benefit Key Performance Indicator Software 134

Smart Data Collective

APRIL 19, 2021

From conversing on personal devices (BYODs) to sending documents to the wrong recipient, or using unsecured applications for transfers, the risk for potential leaks is high. By putting the correct technical measures in place, you can ensure that any confidential data is protected in the best possible and most efficient manner.

Risk 126

Risk Management Measurement Optimization 126

CIO Business Intelligence

DECEMBER 13, 2024

But Discover is taking a measured approach to the technology, with a centralized AI governance function within the company responsible for evaluating risk management around developing gen AI solutions, Strle says. Were not going to go there, the CIO says.

Digital Transformation 81

Digital Transformation Risk Risk Management Enterprise 81

Smart Data Collective

MAY 17, 2023

Since so many companies use Office 365, they need to make sure the documents stored on it are safe from hackers. While Office 365 offers built-in security features, it is essential to understand that these measures alone may not be sufficient to safeguard your business data. This entails shielding applications from cyberattacks.

Risk 98

Risk Measurement Software Management 98

erwin

MARCH 12, 2020

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

Enterprise 85

Enterprise Reporting Management ROI 85

CIO Business Intelligence

JULY 25, 2024

Offered by the ISACA, the CRISC certification validates your ability to understand and mitigate enterprise IT risk using the latest best practices to identify, analyze, evaluate, assess, prioritize, and respond to risks.

IT 131

IT Management Risk Risk Management 131

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. Such datasets are measured by how many “tokens” (words or word parts) they include.

Risk 70

Risk Modeling Management Metadata 70