CIO Business Intelligence

SEPTEMBER 17, 2024

CISOs can only know the performance and maturity of their security program by actively measuring it themselves; after all, to measure is to know. However, CISOs aren’t typically measuring their security program proactively or methodically to understand their current security program. people, processes, and technology).

Measurement 111

Measurement Metrics Risk Dashboards 111

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

O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Before I continue, it’s important to emphasize that machine learning is much more than building models. Model lifecycle management.

Machine Learning 277

Machine Learning Risk Management Statistics 277

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

CIO Business Intelligence

JANUARY 21, 2025

As a secondary measure, we are now evaluating a few deepfake detection tools that can be integrated into our business productivity apps, in particular for Zoom or Teams, to continuously detect deepfakes. Data poisoning and model manipulation are emerging as serious concerns for those of us in cybersecurity.

Behavioral Analytics 122

Behavioral Analytics Data-driven Risk Insurance 122

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

Cloudera

OCTOBER 20, 2021

Firms face critical questions related to these disclosures and how climate risk will affect their institutions. What are the key climate risk measurements and impacts? When it comes to measuring climate risk, generating scenarios will be a critical tactic for financial institutions and asset managers.

Risk 80

Risk Modeling Risk Management Measurement 80

CIO Business Intelligence

MARCH 19, 2025

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

MAY 22, 2024

The signatories agreed to publish — if they have not done so already — safety frameworks outlining on how they will measure the risks of their respective AI models. The risks might include the potential for misuse of the model by a bad actor, for instance. So, in a way, it is a step towards ethical AI.”

Risk Management 122

Risk Management Risk Publishing Modeling 122

Alation

JANUARY 9, 2023

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. The Increasing Focus On Data Risk Management. Download the complete white paper now.

Risk Management 52

Risk Management Risk Management Metadata 52

CIO Business Intelligence

JANUARY 6, 2025

These regulations mandate strong risk management and incident response frameworks to safeguard financial operations against escalating technological threats. DORA mandates explicit compliance measures, including resilience testing, incident reporting, and third-party risk management, with non-compliance resulting in severe penalties.

Risk Management 52

Risk Management Risk Insurance Reporting 52

CIO Business Intelligence

JUNE 27, 2024

The issue has become a concern for builders of generative AI models and the enterprises that use them, as some data sets used in AI training have legally and ethically uncertain origins. Trade associations like the DPA may play a role in supporting the enforcement of such legislation and advocating for other similar measures.

Risk 128

Risk Measurement Risk Management Strategy 128

Smart Data Collective

JULY 16, 2023

We will talk about some of the biggest ways that big data is changing the future of risk management among hedge funds. Data Analytics Helps Create More Robust Risk Management Controls We mentioned years ago that big data is changing risk management.

ROI 97

ROI Data Analytics Analytics Risk Management 97

CIO Business Intelligence

JULY 1, 2024

Notable examples of AI safety incidents include: Trading algorithms causing market “flash crashes” ; Facial recognition systems leading to wrongful arrests ; Autonomous vehicle accidents ; AI models providing harmful or misleading information through social media channels.

Reporting 129

Reporting Risk Management Experimentation Risk 129

DataRobot Blog

JUNE 27, 2022

In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

JUNE 23, 2023

An astounding 93% of respondents noted they strongly agree with the sentence, “I believe my organization needs to embrace a hybrid infrastructure model that spans from mainframe to cloud.” Risk Management: Risk management is a critical focus for technology professionals.

IT 98

IT Risk Management Risk Optimization 98

CIO Business Intelligence

MAY 28, 2024

OpenAI is setting up a new governance body to oversee the safety and security of its AI models, as it embarks on the development of a successor to GPT-4. The first task for the OpenAI Board’s new Safety and Security Committee will be to evaluate the processes and safeguards around how the company develops future models.

Risk 116

Risk Risk Management Consulting Modeling 116

CIO Business Intelligence

OCTOBER 16, 2024

In the executive summary of the updated RSP , Anthropic stated, “in September 2023, we released our Responsible Scaling Policy (RSP), a public commitment not to train or deploy models capable of causing catastrophic harm unless we have implemented safety and security measures that will keep risks below acceptable levels.

Risk 117

Risk IT Measurement Modeling 117

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. came to the rescue because it had the ability and controls to effectively and safely use all these large language models, he says. Allys answer? The team reviews and advises on gen AI use cases.

Marketing 122

Marketing Technology Risk Measurement 122

DataRobot

OCTOBER 5, 2021

Throughout history, introducing innovations in fields like aviation and nuclear power to society required robust risk management frameworks. AI is no different, and by its nature, it demands a comprehensive approach to governance utilizing risk management.

Risk Management 95

Risk Management Testing Risk Data Science 95

CIO Business Intelligence

JUNE 18, 2024

While compliance frameworks provide guidelines for protecting sensitive data and mitigating risks, security measures must adapt to evolving threats. Security, on the other hand, encompasses the broader spectrum of protective measures implemented to defend against malicious activities, data breaches, and cyberattacks.

Risk 105

Risk Measurement Risk Management Management 105

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models can use language, vision and more to affect the real world.

Risk 70

Risk Modeling Management Metadata 70

CIO Business Intelligence

JULY 10, 2024

The only significant increase in risk mitigation was in accuracy, where 38% of respondents said they were working on reducing risk of hallucinations, up from 32% last year. However, organizations that followed risk management best practices saw the highest returns from their investments.

Enterprise 136

Enterprise Risk Modeling Risk Management 136

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 132

Enterprise Risk Measurement Software 132

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52

Risk Modeling Metrics Business Objectives 52

CIO Business Intelligence

MARCH 4, 2025

It outlines strategies to ensure operations continue, minimize disruption, and drive preventative measures and contingency plans. This diligence results in a decision matrix that balances investment, value, and risk. Download the AI Risk Management Enterprise Spotlight.) Stakeholder alignment: Who is responsible?

Testing 64

Testing Risk Consulting Risk Management 64

CIO Business Intelligence

DECEMBER 28, 2023

As a result, managing risks and ensuring compliance to rules and regulations along with the governing mechanisms that guide and guard the organization on its mission have morphed from siloed duties to a collective discipline called GRC. These executive lead risk or compliance departments with dedicated teams. What is GRC?

Risk 115

Risk Risk Management Strategy Enterprise 115

IBM Big Data Hub

MAY 31, 2024

At both gatherings, participants emphasized the importance of effective governance and risk management. The use of these AI assistants also helps streamline fast, accurate answers that deliver elevated experiences with measurable cost savings. Furthermore, biases against marginalized groups remain a risk.

Cost-Benefit 98

Cost-Benefit Risk Risk Management Reporting 98

Cloudera

JUNE 12, 2024

Traditional machine learning (ML) models enhance risk management, credit scoring, anti-money laundering efforts and process automation. Capital One leverages GenAI to create synthetic data for model training while protecting privacy. What Should Institutions Invest In?

Finance 77

Finance Risk Management Risk Data-driven 77

Cloudera

MAY 24, 2022

I recently attended the CeFPro environmental, social, and corporate governance (ESG) conference in London along with a variety of risk experts and ESG leaders from large global institutions. I discussed the complex modeling considerations of physical, transition, and alignment risks in a prior post about climate risk models. .

Risk 89

Risk Measurement Modeling Risk Management 89

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

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. The suite, according to the company, consists of three layers: Cropin Apps, the Cropin Data Hub and Cropin Intelligence.

B2B 105

B2B Contextual Data Deep Learning IoT 105

IBM Big Data Hub

APRIL 19, 2024

Mobile-connected technicians experience improved safety through measures such as access control, gas detection, warning messages or fall recognition, which reduces risk exposure and enhances operational risk management (ORM) during work execution.

Management 85

Management Internet of Things Risk IoT 85

CIO Business Intelligence

MAY 2, 2024

Security and risk management pros have a lot keeping them up at night. Using mobile cryptography to determine the authenticity of the device, its operating system, and the app it’s running is a crucial and decisive measure for stopping injection attacks in their tracks.

Strategy 115

Strategy Risk Management Risk Measurement 115

Smart Data Collective

JUNE 23, 2022

A typical car needs an estimated 30,000 individual components (the exact number may vary depending on the make and model). Risk Management. The automotive industry faces numerous risks, from missed production goals to mishaps on the factory floor. Supply Chain Visibility.

Analytics 132

Analytics Manufacturing Internet of Things Advertising 132

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