Analytics Vidhya

DECEMBER 4, 2022

When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. In the epic financial and economic collapse, many lost their jobs, savings, and much more.

Modeling 395

Modeling Risk Management Risk Management 395

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

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

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

CIO Business Intelligence

OCTOBER 30, 2024

This challenge is particularly front and center in financial services with the arrival of new regulations and policies like the Digital Operational Resilience Act (DORA), which puts strict ICT risk management and security guidelines in place for firms in the European Union.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

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

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.

Risk Management 40

Risk Management Risk Management Machine Learning 40

IBM Big Data Hub

MAY 4, 2020

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

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

John Wheeler

AUGUST 28, 2020

That’s why digital risk management has become so critically important for organizations now. How can you gain a better understanding and visibility of digital risk across your business? The only way is through an integrated risk management (IRM) approach using digital risk management technology.

Risk 117

Risk Risk Management Internet of Things IoT 117

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. Perhaps one of the most anticipated applications of AI in cybersecurity is in the realm of behavioral analytics and predictive analysis.

Behavioral Analytics 122

Behavioral Analytics Data-driven Risk Insurance 122

CIO Business Intelligence

JULY 23, 2024

CIOs facing a growing IT landscape of monitoring tools and alerts may want to investigate AIops solutions , which help centralize observability data and use machine learning to correlate the high volumes of systems alerts into a smaller number of manageable incidents.

Risk 142

Risk IT Risk Management Cost-Benefit 142

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

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

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

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

DataRobot Blog

APRIL 29, 2022

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. However, after the financial crisis, financial regulators around the world stepped up to the challenge of reigning in model risk across the financial industry.

Risk 111

Risk Modeling IT Risk Management 111

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. But with multiple lines of defense, the overlapping are a powerful form of risk management.

Risk Management 52

Risk Management Risk Modeling Management 52

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

Smart Data Collective

JUNE 19, 2022

Because the internet reveals more about supplier relationships and social media provides consumers with louder voices , businesses need to be especially careful about the brand reputation risks they face in their supply chains. How can AI help with brand reputation management? Quality Risk.

Risk 144

Risk Cost-Benefit Risk Management Manufacturing 144

CIO Business Intelligence

OCTOBER 13, 2023

Machine learning engineer Machine learning engineers are tasked with transforming business needs into clearly scoped machine learning projects, along with guiding the design and implementation of machine learning solutions.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smart Data Collective

DECEMBER 9, 2021

The advent of AI, machine learning, big data, and blockchain technology are already transforming how many businesses handle their daily operations. AI and Machine Learning. AI and machine learning are poised to play a major part in the future of several industries.

Technology 133

Technology Big Data Machine Learning Deep Learning 133

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

NOVEMBER 6, 2024

We use machine learning all the time. In his organization, that process means exploring options, comparing technological options, and working with trusted advisors. Currently, we don’t have gen AI-driven products and services,” he says. “We

Forecasting 133

Forecasting Risk Technology Strategy 133

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. 1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions.

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. With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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

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

CIO Business Intelligence

OCTOBER 3, 2024

Rather than pull away from big iron in the AI era, Big Blue is leaning into it, with plans in 2025 to release its next-generation Z mainframe , with a Telum II processor and Spyre AI Accelerator Card, positioned to run large language models (LLMs) and machine learning models for fraud detection and other use cases.

Machine Learning 140

Machine Learning Experimentation Insurance Modeling 140

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.”

Consulting 120

Consulting Risk Risk Management Marketing 120

CIO Business Intelligence

JANUARY 18, 2024

Half of CEOs say their organization is at least somewhat unprepared for AI and machine learning (ML) adoption, according to Workday’s C-Suite Global AI Indicator Report. That’s a big difference with machine learning vs. traditional approaches.” Just 6% say they are fully prepared.)

Machine Learning 126

Machine Learning Finance Risk Management Optimization 126

CIO Business Intelligence

MAY 9, 2024

That means having a deep understanding of various AI technologies, including machine learning, natural language processing, retrieval-augmented generation (RAG), and, where applicable, robotics, Mathison says. This includes skills in statistical analysis, data visualization, and predictive modeling.

Risk Management 138

Risk Management Cost-Benefit Risk Technology 138

Cloudera

MAY 30, 2024

In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation. What are some of the reasons that TAI Solutions’ customers choose Cloudera?

Data Analytics 81

Data Analytics Analytics Risk Management Digital Transformation 81

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. As time goes by, the insurance industry will need to update the way it sees both new challenges and traditional risk profiles.

Insurance 110

Insurance Data Analytics Analytics Big Data 110

CIO Business Intelligence

SEPTEMBER 14, 2023

The company’s pivot to new tech development and SaaS began in 2021 and is keenly focused on the cloud, machine learning, and AI, as well as blockchain for tracking digital assets. When you have to calculate risk, it works really well to spread it horizontally in the cloud,” Peterson says.

Risk Management 116

Risk Management Risk Marketing Cost-Benefit 116

Octopai

JULY 9, 2020

Your Guide to Machine Learning Data Lineage for BI: From Source to Target. As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98