KDnuggets

MARCH 23, 2022

How sound risk management acts as a catalyst to building successful AI/ML models.

Risk Management 108

Risk Management Risk Modeling Management 108

CIO Business Intelligence

JULY 23, 2024

Call it survival instincts: Risks that can disrupt an organization from staying true to its mission and accomplishing its goals must constantly be surfaced, assessed, and either mitigated or managed. While security risks are daunting, therapists remind us to avoid overly stressing out in areas outside our control.

Risk 142

Risk IT Risk Management Cost-Benefit 142

CIO Business Intelligence

OCTOBER 30, 2024

In fact, among surveyed leaders, 74% identified security and compliance risks surrounding AI as one of the biggest barriers to adoption. As data is moved between environments, fed into ML models, or leveraged in advanced analytics, considerations around things like security and compliance are top of mind for many.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

Smart Data Collective

JULY 4, 2021

Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry. But is AI becoming the end-all and be-all of asset management ? Why Machine Learning? What Machine Learning Means to Asset Managers.

Machine Learning 143

Machine Learning Management B2B Unstructured Data 143

John Wheeler

AUGUST 28, 2020

Digital risk continues to grow in importance for corporate boards as they recognize the critical nature of digital business transformation today. Not only that, but 49% of directors cite the need to reduce legal, compliance and reputation risk related to digital investments. However, digital risk is different.

Risk 117

Risk Risk Management Internet of Things IoT 117

Smart Data Collective

JUNE 19, 2022

AI is particularly helpful with managing risks. How AI Can Help Suppliers Manage Risks Better. All companies require complex relationships with various suppliers and service providers to develop the products and services they offer to clients and customers — but those relationships always carry some risk.

Risk 144

Risk Cost-Benefit Risk Management Manufacturing 144

Domino Data Lab

AUGUST 6, 2021

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards.

Machine Learning 145

Machine Learning Modeling Testing Data Science 145

Dataiku

DECEMBER 3, 2024

What began with traditional machine learning (ML) and AI making predictions and identifying patterns has expanded to include powerful Generative AI (GenAI) tools that can write, create images, and engage in human-like conversation. This rapid transformation has introduced remarkable technologies that revolutionize work processes.

Risk Management 40

Risk Management Risk Management Machine Learning 40

IBM Big Data Hub

MAY 4, 2020

But some AI models can add complexity and risk. You can minimize that risk and also streamline the process of model validation by using IBM Cloud Pak for Data , a data and AI platform that includes IBM Watson Studio, Watson Machine Learning, Watson OpenScale and other services.

Risk Management 81

Risk Management Risk Modeling Management 81

CIO Business Intelligence

SEPTEMBER 29, 2022

New York-based insurance provider Travelers, with 30,000 employees and 2021 revenues of about $35 billion, is in the business of risk. Managing all of its facets, of course, requires many different approaches and tools to achieve beneficial outcomes, and Mano Mannoochahr, the companyâ??s Watch the full video below for more insights.

Machine Learning 134

Machine Learning Insurance Technology Software 134

DataRobot Blog

APRIL 29, 2022

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks.

Risk 111

Risk Modeling IT Risk Management 111

DataRobot Blog

JULY 21, 2022

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

CIO Business Intelligence

JANUARY 21, 2025

By leveraging machine learning algorithms, AI can analyze user behavior and network traffic patterns, identifying anomalies that might indicate insider threats or other malicious activities. Theres also the risk of over-reliance on the new systems. While AI is undoubtedly powerful, its not infallible.

Behavioral Analytics 122

Behavioral Analytics Data-driven Risk Insurance 122

CIO Business Intelligence

MARCH 19, 2024

Ask your average schmo what the biggest risks of artificial intelligence are, and their answers will likely include: (1) AI will make us humans obsolete; (2) Skynet will become real, making us humans extinct; and maybe (3) deepfake authoring tools will be used by bad people to do bad things. Risks perceived by an average schmo 1.

Risk 124

Risk Machine Learning Risk Management Measurement 124

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

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

Risk 100

Risk Optimization Management Insurance 100

CIO Business Intelligence

NOVEMBER 6, 2024

We use machine learning all the time. That high level of democratization doesn’t come without risks, and that’s where CIOs, as the guardians of enterprise technology, play a crucial role. He says this collaborative approach with other senior stakeholders weighs the benefits against the risks. “We

Forecasting 133

Forecasting Risk Technology Strategy 133

DataRobot Blog

NOVEMBER 17, 2022

What’s your AI risk mitigation plan? 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. Enterprise Ready AI: Managing Governance and Risk.

Risk Management 52

Risk Management Risk Modeling Management 52

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

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform. End-to-end Data Lifecycle.

Risk 88

Risk Marketing Technology Management 88

CIO Business Intelligence

NOVEMBER 21, 2024

Importantly, where the EU AI Act identifies different risk levels, the PRC AI Law identifies eight specific scenarios and industries where a higher level of risk management is required for “critical AI.” As well, the principles address the need for accountability, authentication, and international standards.

Consulting 120

Consulting Risk Risk Management Marketing 120

John Wheeler

DECEMBER 18, 2018

Last week, I had the distinct privilege to join my Gartner colleagues from our Risk Management Leadership Council in presenting the Q4 2018 Emerging Risk Report. We hosted more than 500 risk leaders across the globe in our exploration of the most critical risks.

Digital Transformation 96

Digital Transformation Risk Management Internet of Things Risk 96

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Taking a Multi-Tiered Approach to Model Risk Management. Learn more artificial intelligence and machine learning tips on the DataRobot blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

Cloudera

MARCH 28, 2019

For all the advances in big data, machine learning and computational simulation in the decade since the global financial crisis, incumbent banks, still preoccupied with the twin imperatives of ever-tougher regulatory compliance and boosting shareholder returns, are playing catch-up in their adoption of new technologies.

Risk 74

Risk Management Risk Management Machine Learning 74

CIO Business Intelligence

FEBRUARY 20, 2025

By collecting and evaluating large amounts of data, HR managers can make better personnel decisions faster that are not (only) based on intuition and experience. Solid reporting provides transparent, consistent and combined HR metrics essential for strategic planning, risk management and the management of HR measures.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

CIO Business Intelligence

APRIL 30, 2025

Much of this work has been in organizing our data and building a secure platform for machine learning and other AI modeling. The cross-functional risk management team is also essential because you dont want to jeopardize your entire business over an AI pilot. Talk us through a gen AI use case.

Strategy 82

Strategy Data Science Modeling Risk Management 82

CIO Business Intelligence

MAY 20, 2024

Artificial intelligence and machine learning Unsurprisingly, AI and machine learning top the list of initiatives CIOs expect their involvement to increase in the coming year, with 80% of respondents to the State of the CIO survey saying so. Risk management came in at No. Foundry / CIO.com 3. For Rev.io

IT 142

IT Risk Management Machine Learning Risk 142

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. Automated machine learning (AutoML) tools make building hundreds of models almost as easy as building only one.

Modeling 105

Modeling Risk Management Testing Machine Learning 105

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

Smart Data Collective

AUGUST 2, 2019

Now, a new benefit of AI is joining the list: avoiding the risk of website accessibility lawsuits. A continuous machine learning algorithm that makes improvements to the website for all users with disabilities. The benefits of AI in ecommerce include enhancing products, optimizing processes, identifying new markets and more.

Risk 94

Risk Machine Learning Sales Visualization 94

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. CIOs should look for other operational and risk management practices to complement transformation programs.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

DECEMBER 4, 2022

Process – Developing, communicating and enforcing cybersecurity policy with alignments to enterprise risk management prioritisation and remediation. Technology – Leveraging telemetry data integration and machine learning to gain full cyber risk visibility for action.

Risk Management 104

Risk Management Risk Machine Learning Strategy 104

Smart Data Collective

JUNE 26, 2019

The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. The in-depth analysis of historical data gives insurers a platform to base their determination of risk. Seeing Into the Future.

Insurance 110

Insurance Data Analytics Analytics Big Data 110

O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Yet, finance textbooks, programs, and professionals continue to use the normal distribution in their asset valuation and risk models because of its simplicity and analytical tractability.

Modeling 216

Modeling Finance Uncertainty Data mining 216

Smart Data Collective

OCTOBER 13, 2021

Big data also helps you identify potential business risks and offers effective risk management solutions. Use machine learning. Machine learning is one of the biggest applications of AI.

Technology 133

Technology Cost-Benefit Experimentation Machine Learning 133

CIO Business Intelligence

SEPTEMBER 17, 2024

All this while CIOs are under increased pressure to deliver more competitive capabilities, reduce security risks, connect AI with enterprise data, and automate more workflows — all areas where architecture disciplines have a direct role in influencing outcomes.

Enterprise 145

Enterprise Digital Transformation Cost-Benefit Risk 145

CIO Business Intelligence

DECEMBER 14, 2023

AI and machine learning (ML) can do this by automating the design cycle to improve efficiency and output; AI can analyze previous designs, generate novel design ideas, and test prototypes, assisting engineers with rapid, agile design practices. Generative AI can help mitigate these often serious risks.

Manufacturing 143

Manufacturing Cost-Benefit Unstructured Data Optimization 143