CIO Business Intelligence

OCTOBER 30, 2024

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

IBM Big Data Hub

MAY 4, 2020

Many financial firms are increasing their use of AI models because they can represent the real world more accurately, and they can deliver better projections than traditional, rule-based models. But some AI models can add complexity and risk.

Risk Management 81

Risk Management Risk Modeling Management 81

John Wheeler

NOVEMBER 24, 2020

However, for security and risk management professionals it can make a huge difference. Take for example the terms cyber risk, digital risk and the digitalization of risk management. Viewed together, the three terms represent key aspects of integrated risk management (IRM).

Risk Management 85

Risk Management Risk Management Technology 85

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. Management. The Impact of COVID-19 on Financial Services & Risk Management. As past data isn’t relevant anymore, current models aren’t going to work. PODCAST: COVID 19 | Redefining Digital Enterprises. Listening time: 12 minutes.

Risk Management 128

Risk Management Risk Enterprise Management 128

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 48

Machine Learning Management Enterprise Risk Management 48

CIO Business Intelligence

JANUARY 24, 2024

“Our analytics capabilities identify potentially unsafe conditions so we can manage projects more safely and mitigate risks.” There’s also investment in robotics to automate data feeds into virtual models and business processes.

Risk Management 118

Risk Management Risk Management Digital Transformation 118

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

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

O'Reilly on Data

JANUARY 22, 2019

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

Modeling 183

Modeling Finance Uncertainty Data mining 183

Domino Data Lab

AUGUST 6, 2021

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. As such, model governance needs to be applied to each model for as long as it’s being used.

Machine Learning 145

Machine Learning Modeling Testing Data Science 145

CIO Business Intelligence

JANUARY 21, 2025

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. Even this breakdown leaves out data management, engineering, and security functions.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. What is a model?

Risk 111

Risk Modeling IT Risk Management 111

erwin

FEBRUARY 20, 2020

Enterprise architecture (EA) and business process (BP) modeling tools are evolving at a rapid pace. These initiatives can include digital transformation, cloud migration, portfolio and infrastructure rationalization, regulatory compliance, mergers and acquisitions, and innovation management.

Enterprise 128

Enterprise Modeling Dashboards Visualization 128

CIO Business Intelligence

MARCH 19, 2025

Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. Were developing our own AI models customized to improve code understanding on rare platforms, he adds. SS&C uses Metas Llama as well as other models, says Halpin. Devin scored nearly 14%.

Software 143

Software Risk Enterprise Cost-Benefit 143

Domino Data Lab

AUGUST 6, 2021

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Risk Management 64

Risk Management Risk Enterprise Modeling 64

erwin

JULY 8, 2020

With the help of business process modeling (BPM) organizations can visualize processes and all the associated information identifying the areas ripe for innovation, improvement or reorganization. There’s a clear connection between business process modeling and digital transformation initiatives. BPM for Regulatory Compliance.

Slice and Dice 136

Slice and Dice Modeling Digital Transformation Visualization 136

Dataiku

SEPTEMBER 8, 2021

This article presents how financial modeling can be done inside Dataiku. Let’s begin with the context: spreadsheet-based tools like Microsoft Excel are some of the most popular tools for financial modeling and are used for all kinds of tasks including investment analysis, P&L modeling, and risk management.

Modeling 105

Modeling Risk Management Risk Management 105

bridgei2i

NOVEMBER 20, 2020

Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.

Risk Management 92

Risk Management Risk Management Metrics 92

CIO Business Intelligence

DECEMBER 20, 2024

As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. as AI adoption and risk increases, its time to understand why sweating the small and not-so-small stuff matters and where we go from here. isnt intentionally or accidentally exfiltrated into a public LLM model?

Risk 105

Risk Measurement Modeling Interactive 105

CIO Business Intelligence

MARCH 31, 2025

The 2024 Security Priorities study shows that for 72% of IT and security decision makers, their roles have expanded to accommodate new challenges, with Risk management, Securing AI-enabled technology and emerging technologies being added to their plate. Ensuring diversity in data sources helps models make impartial decisions.

Data-driven 71

Data-driven Risk Risk Management Metrics 71

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 270

Machine Learning Risk Management Statistics 270

Domino Data Lab

JULY 14, 2022

The financial services industries are starting to realize the full import of the fact that, like household chores like dishwashing and garden work, ML models are never really done. Rather, AI and ML models need to be monitored for validity, and often, they also need to be re-explained and re-documented for regulators.

Insurance 98

Insurance Modeling Management Risk Management 98

CIO Business Intelligence

NOVEMBER 8, 2024

Media outlets and entertainers have already filed several AI copyright cases in US courts, with plaintiffs accusing AI vendors of using their material to train AI models or copying their material in outputs, notes Jeffrey Gluck, a lawyer at IP-focused law firm Panitch Schwarze.

Risk 133

Risk Software Recreation/Entertainment Modeling 133

BA Learnings

JANUARY 10, 2018

The principle of the Swiss cheese model has been successfully applied to safety engineering and healthcare practices across the world. Latent conditions can be highlighted and corrected via effective risk management before problems manifest in the system. What’s your opinion of the Swiss cheese model?

Risk Management 183

Risk Management Risk Interactive Modeling 183

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

NOVEMBER 19, 2024

Controlling public cloud costs can also be problematic due to lack of visibility into cloud usage patterns, inadequate governance and cost management policies, the complexity of cloud pricing models, and insufficient monitoring of resource use.

Analytics 97

Analytics Cost-Benefit Finance Data-driven 97

CIO Business Intelligence

JANUARY 21, 2025

Data poisoning and model manipulation are emerging as serious concerns for those of us in cybersecurity. Attackers can potentially tamper with the data used to train AI models, causing them to malfunction or make erroneous decisions. Theres also the risk of over-reliance on the new systems.

Behavioral Analytics 122

Behavioral Analytics Data-driven Risk Insurance 122

CIO Business Intelligence

MARCH 8, 2023

As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and risk management, with clear boundaries of shared responsibility. The security-shared-responsibility model provides a clear definition of the roles and responsibilities for security.”

Modeling 95

Modeling Risk Management Internet of Things Risk 95

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

IBM Big Data Hub

JANUARY 28, 2020

Any financial services firm using AI must revisit its approach to model risk management. The reason is that AI models are evolving faster than the rules-based models that were standard previously. If AI models perform inadequately, major operational losses can grow quickly.

Risk 80

Risk Modeling Big Data Management 80

CIO Business Intelligence

NOVEMBER 4, 2024

The Cybersecurity Maturity Model Certification (CMMC) serves a vital purpose in that it protects the Department of Defense’s data. This often resulted in lengthy manual assessments, which only increased the risk of human error.” To address compliance fatigue, Camelot began work on its AI wizard in 2023.

Dashboards 115

Dashboards Risk Risk Management Data-driven 115

John Wheeler

MARCH 5, 2021

Simply put, business leaders need a better way to manage risks. For them, the way forward is IRM – integrated risk management. Our clients are telling us that their risk management priorities have shifted dramatically due to COVID-19. Technology Outlook for Integrated Risk Management.

Risk Management 105

Risk Management Risk Technology Management 105

CIO Business Intelligence

JULY 11, 2023

In recent years, we have witnessed a tidal wave of progress and excitement around large language models (LLMs) such as ChatGPT and GPT-4. In short, providers must demonstrate that their models are safe and effective.

Modeling 95

Modeling Testing Experimentation Risk Management 95

CIO Business Intelligence

JULY 23, 2024

Security and data governance is a growing challenge, and 61% of companies reported a third-party data breach or security incident, a 49% increase over the last year, according to The 2024 Third-Party Risk Management Study. “Be Confirm that the financial models accurately explain budget-to-actual variances.

Risk 142

Risk IT Risk Management Cost-Benefit 142

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Taking a Multi-Tiered Approach to Model Risk Management. How Model Observability Provides a 360° View of Models in Production. Read the blog. Read the blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

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

SEPTEMBER 17, 2020

Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. Big Data provides financial and banking organizations with better risk coverage.

Big Data 145

Big Data Finance Risk Management Risk 145