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 60

Cost-Benefit Risk Management Risk Digital Transformation 60

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

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 80

Cost-Benefit Testing Strategy Risk Management 80

CIO Business Intelligence

JUNE 8, 2023

This demand for skilled IT workers is reflected in the rising average salaries of certain job titles as companies compete for top talent, according to data from the 2023 Dice Tech Salary Report.

IT 135

IT Digital Transformation Software Risk 135

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 AI and machine learning algorithms can monitor compliance in real time.

Risk Management 52

Risk Management Consulting Metrics Data Quality 52

Octopai

JULY 9, 2020

Actually, effective data lineage delivers important enhancements to BI and enables informed decision-making , as it enables data teams to tackle numerous use cases such as regulatory compliance, system upgrades & migrations, M&A (system consolidation), reporting inaccuracies, business changes etc.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

Smart Data Collective

MAY 17, 2023

According to the Identity Theft Resource Center’s 2022 Data Breach Report, the number of data breaches decreased slightly in 2022 from the number reported in 2021. Reports were significantly lower in the first half of 2022, possibly due to the war in Ukraine and volatile cryptocurrency prices.

Risk 89

Risk Measurement Software Management 89

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

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 123

Digital Transformation Uncertainty Metrics Business Objectives 123

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

MARCH 13, 2024

According to a research report IDC released in November, based on a survey of over 2,100 business leaders and decision makers with responsibility for AI transformation, 71% of companies already using AI are seeing returns on their AI investments within 14 months, averaging $3.50 for every $1 spent. We did side-by-side testing,” he says.

IT 124

IT Consulting Testing Cost-Benefit 124

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

Alation

AUGUST 17, 2022

And while IT should never be the data owner for business data, research from Digital Trailblazer author and former CIO Isaac Sacolick shows that 40 percent of business leaders “just want IT to fix the data and deliver reports.” Enterprise risk management. Data management. Risk, however, is a different challenge.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

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 70

Cost-Benefit Risk Digital Transformation Risk Management 70

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. Predictive Analytics. REFERENCES. [1]

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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

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]. Currency amounts reported in Taiwan dollars.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

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 128

Management Cost-Benefit Key Performance Indicator Software 128

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

O'Reilly on Data

JULY 15, 2019

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Model risk management. AI projects in financial services and health care.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

DataRobot

AUGUST 9, 2021

For instance, the New York Times recently reported, “ We Need Laws to Take On Racism and Sexism in Hiring. ”. General Data Protection Regulation, California Consumer Privacy Act, SR 11-7 Guidance on Model Risk Management, etc). It empowers enterprises to measure, monitor, and manage AI-introduced risks at scale.

Machine Learning 52

Machine Learning Risk Testing Insurance 52

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 121

Risk Management Measurement Optimization 121

erwin

DECEMBER 20, 2018

Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. The driving factors behind data governance adoption vary. The Top Five Data Governance Use Cases and Drivers.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. They have to assess risk and build strategies dynamically. Even onboarding has gone digital. Learn MORE. “We

Risk 52

Risk Management Scorecard Forecasting 52

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

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. Models built in the past may be embedded in reports, application systems, and business processes. White Paper.

Modeling 105

Modeling Risk Management Testing Risk 105

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

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 Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

IBM Big Data Hub

JULY 28, 2023

Reporting and improvement. The vulnerability management lifecycle allows organizations to improve security posture by taking a more strategic approach to vulnerability management. In response, enterprises have made vulnerability management a key component of their cyber risk management strategies.

Management 68

Management Metrics Risk Measurement 68

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. These reports streamline the regulatory filing process. Feature Impact.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

Ontotext

FEBRUARY 26, 2024

Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Cloudera

SEPTEMBER 7, 2023

But these measures alone may not be sufficient to protect proprietary information. Even when backed by robust security measures, an external AI service is a tempting, outsized target for potential security breaches: each integration point, data transfer, or externally exposed API becomes a target for malicious actors.

Insurance 79

Insurance Risk Data-driven Finance 79

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. Edge caches become crucial for managing data on its way from web servers to mobile devices.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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. And then there is the Cloud.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

APRIL 22, 2022

Almost any IT pro can benefit from adding a project management certification to their list of IT credentials, showing you have the know-how to plan, schedule, budget, execute, deliver, and report on IT initiatives. Top project management certifications.

Management 110

Management Cost-Benefit Testing Risk 110

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. Improved risk management: Another great benefit from implementing a strategy for BI is risk management. CFOs and CMOs are good fits.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218