CIO Business Intelligence

AUGUST 30, 2023

A CISO at a major marketing software firm worried about this explicitly, stating, “The real risk is that you have unintentional data leakage of confidential information. Maybe it gets used in modeling. So I think the real risk here is the exposure of sensitive information. Maybe it then winds up getting exposed.

Enterprise 128

Enterprise Risk Measurement Software 128

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

DataRobot

JULY 16, 2021

The first is trust in the performance of your AI/machine learning model. They all serve to answer the question, “How well can my model make predictions based on data?” How can identifying gaps or discrepancies in the training data help you build a more trustworthy model? Dimensions of Trust. How large is the data set?

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

CIO Business Intelligence

JUNE 8, 2023

Relevant skills include security architecture design, threat modeling, compliance and regulations, security operations, risk assessment and management, and security infrastructure implementation. Average salary: US$145,512 Increase since 2021: 7.7%

IT 135

IT Digital Transformation Software Risk 135

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 67

Risk Management Strategy Digital Transformation Enterprise 67

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

Alation

AUGUST 17, 2022

So, data culture and governance need a strong leader, charter, operating model, and budget (which is many times the hardest part). Focus on market and customer needs and define safe/compliant operating models. Enterprise risk management. Data management. Risk, however, is a different challenge.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

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

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

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

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. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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

CIO Business Intelligence

MARCH 13, 2024

So when on-boarding potential vendors, productivity has increased by 70 to 80% as a result of using gen AI to help analyze masses of documents. “We AI models are able to present best practice code systems to help junior developers learn and hone their skills.” Still, he urges companies to look beyond measurements of coding speed.

IT 124

IT Consulting Testing Cost-Benefit 124

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

Alation

MARCH 14, 2023

Creating a clear process with documented steps will help. Govern Data governance models should be flexible and dynamic while proactively addressing risk management and compliance with local and global regulations.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

DataRobot

AUGUST 9, 2021

However, many organizations don’t implement any feedback loop to monitor and control their models after they’re out in production. General Data Protection Regulation, California Consumer Privacy Act, SR 11-7 Guidance on Model Risk Management, etc).

Machine Learning 52

Machine Learning Risk Testing Insurance 52

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

DataRobot Blog

NOVEMBER 17, 2022

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. A well-designed model combined with proper AI governance can help minimize unintended outcomes like AI bias.

Risk Management 52

Risk Management Risk Modeling Management 52

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Note that the emphasis of SR 11-7 is on risk management.). Image by Ben Lorica.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

DataRobot Blog

JULY 22, 2022

Using AI-based models increases your organization’s revenue, improves operational efficiency, and enhances client relationships. You need to know where your deployed models are, what they do, the data they use, the results they produce, and who relies upon their results. That requires a good model governance framework.

Modeling 105

Modeling Risk Management Testing Risk 105

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 will also need recalibrated scorecards post-COVID as the existing models will not hold. Learn MORE. “We

Risk 52

Risk Management Scorecard Forecasting 52

DataRobot

SEPTEMBER 16, 2021

The later introduction of Generalized Linear Models (GLM) significantly expanded the pricing actuary’s toolbox. When it comes to insurance and loss cost modeling, DataRobot enforces best practices by automating model setup and incorporating various preprocessing and modeling approaches. Claim Count.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

IBM Big Data Hub

MAY 14, 2024

Many federal agencies are appointing CAIOs to oversee AI use within their domains, promote responsible AI innovation and address risks associated with AI, including generative AI (gen AI), by considering its impact on citizens. But, how will these CAIOs balance regulatory measures and innovation? How will they cultivate trust?

Risk 85

Risk Risk Management Measurement Strategy 85

IBM Big Data Hub

FEBRUARY 22, 2024

Earning trust in the outputs of AI models is a sociotechnical challenge that requires a sociotechnical solution. But it’s equally important that they have a deep understanding of the risks and limitations of AI and how to implement the appropriate security measures and ethics guardrails. The CRISP-DM model is useful here.

Metadata 101

Metadata Measurement Risk Modeling 101

DataRobot Blog

JULY 21, 2022

Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Machine learning models created in silos are rarely implemented. Models could also be deployed into multiple environments at once. Define project scope. Identify project stakeholders.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for There are models everywhere. In other words, #adulting.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

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. Data is critical to these decisions, such as how to ramp up and support remote employees, re-engineer processes, change entire business models, and adjust supply chains.

Measurement 96

Measurement Sales Data Governance Metadata 96

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. But these measures alone may not be sufficient to protect proprietary information.

Insurance 79

Insurance Risk Data-driven Finance 79

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

IBM Big Data Hub

JULY 28, 2023

In response, enterprises have made vulnerability management a key component of their cyber risk management strategies. The vulnerability management lifecycle offers a formal model for effective vulnerability management programs in an ever-changing cyberthreat landscape.

Management 68

Management Metrics Risk Measurement 68

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

O'Reilly on Data

OCTOBER 18, 2022

What if a named entity recognition (NER) system, based on a cutting-edge large language model (LLM), fails for Chinese, Cyrillic, or Arabic text? As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. For our audits, BNH.AI

Risk Management 291

Risk Management Risk Testing Measurement 291

CIO Business Intelligence

APRIL 22, 2022

It’s designed for those who aspire to have a career in project management and doesn’t require prior experience in the field. The certification includes a combination of hard and soft skills that are relevant to the role of project manager. Master Project Manager (MPM).

Management 110

Management Cost-Benefit Testing Risk 110

Grooper

OCTOBER 23, 2019

With the increasing value of data and more tools to process and analyze information than ever before, companies with information governance and master data model programs are outpacing their peers. By measuring performance, they drive improvements through necessary process and workflow changes. How does data benefit the entire company?

Metrics 59

Metrics Measurement Strategy Optimization 59

datapine

AUGUST 29, 2022

are using big data to their advantage, including: Progressive Insurance’s use of GPS trackers/accelerometers which determine customer safety ratings Google’s ability to predict local flu outbreaks by measuring spikes in flu-related local searches The government of Boston fixing potholes using data that residents enter into their smartphones.

Big Data 263

Big Data Data Analytics Analytics Data mining 263