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

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

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

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 124

Strategy Risk Measurement IT 124

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 92

Data Lake Cost-Benefit Unstructured Data Modeling 92

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

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 Insurance Predictive Modeling 52

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

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

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

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 142

Risk Cost-Benefit Strategy Enterprise 142

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

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

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

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 110

Cost-Benefit Risk Management Strategy Testing 110

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 139

IT Digital Transformation Software Risk 139

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.

Cost-Benefit 55

Cost-Benefit Risk Management Risk Digital Transformation 55

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 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 78

Risk Management Strategy Digital Transformation Enterprise 78

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

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 133

Digital Transformation Uncertainty Metrics Business Objectives 133

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.

Risk Management 52

Risk Management Risk Data-driven Metrics 52

CIO Business Intelligence

MARCH 24, 2023

However, there are many other challenges as well, including regulatory requirements, human capital, stakeholder engagement, alignment of materiality and performance, and the need to embed ESG into an existing ERM (Enterprise Risk Management) framework. “The

Risk Management 52

Risk Management Consulting Metrics Machine Learning 52

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

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

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 83

Cost-Benefit Risk Digital Transformation Risk Management 83

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 93

Internet of Things Cost-Benefit Risk Software 93

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 196

Machine Learning Modeling Testing Risk Management 196

IBM Big Data Hub

AUGUST 18, 2023

The Digital Operational Resilience Act , or DORA, is a European Union (EU) regulation that created a binding, comprehensive information and communication technology (ICT) risk-management framework for the EU financial sector. Entities will also be expected to put appropriate cybersecurity protection measures in place.

Cost-Benefit 74

Cost-Benefit Testing Strategy Risk Management 74

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

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 92

Risk Measurement Software Management 92

CDW Research Hub

FEBRUARY 14, 2020

Let’s take a closer look at the options, tools and documentation involved with choosing a CSP. As a prerequisite, your organization must already have governance and risk management teams, which will define the company policies and set compliance standards from which you can establish procedures. NIST, HIPAA, FIPS and ENISA).

Risk 52

Risk Reporting Measurement Insurance 52

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 130

IT Management Risk Risk Management 130

DataRobot

SEPTEMBER 16, 2021

Exposure is a measure of the unit of risk for an insurance policy. For example, a car-year is a reasonable measure for personal auto insurance, while a home-year could be an exposure for homeowners insurance. Compliance documentation. Loss cost modeling-related features. Feature Impact.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

DataRobot Blog

JUNE 27, 2022

A prerequisite in measuring a deployed model’s evolving performance is to collect both its input data and business outcomes in a deployed setting. With this data in hand, we are able to measure both the data drift and model performance, both of which are essential metrics in measuring the health of the deployed model.

Risk 59

Risk Modeling Metrics Measurement 59

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In this case, once a customer’s documents are scanned and uploaded, the necessary data is extracted from the key documents and then converted to machine-readable form.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In this case, once a customer’s documents are scanned and uploaded, the necessary data is extracted from the key documents and then converted to machine-readable form. Predictive Analytics. REFERENCES. [1]

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52