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

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 Machine Learning 105

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

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

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

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 14, 2025

Documentation and diagrams transform abstract discussions into something tangible. Most importantly, architects make difficult problems manageable. They achieve this through models, patterns, and peer review taking complex challenges and breaking them down into understandable components that stakeholders can grasp and discuss.

Enterprise 119

Enterprise Technology Metrics Measurement 119

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

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 Interactive Modeling 105

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

CIO Business Intelligence

JANUARY 21, 2025

Companies like CrowdStrike have documented that their AI-driven systems can detect threats in under one second. Data poisoning and model manipulation are emerging as serious concerns for those of us in cybersecurity. Theres also the risk of over-reliance on the new systems. But AIs capabilities dont stop at detection.

Behavioral Analytics 122

Behavioral Analytics Data-driven Risk Insurance 122

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

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

Smart Data Collective

SEPTEMBER 17, 2020

Some prominent banking institutions have gone the extra mile and introduced software to analyze every document while recording any crucial information that these documents may carry. Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations.

Big Data 145

Big Data Finance Risk Management Risk 145

erwin

SEPTEMBER 3, 2020

It documents your data assets from end to end for business understanding and clear data lineage with traceability. Data governance and EA also provide many of the same benefits of enterprise architecture or business process modeling projects: reducing risk, optimizing operations, and increasing the use of trusted data.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

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

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

CIO Business Intelligence

MAY 24, 2022

Deloitte estimates that compliance costs for banks have increased by 60% since the financial crisis of 2008, and the Risk Management Association found that 50% of financial institutions spend 6 to 10% of their revenues on compliance. This is where sophisticated OCR (optical character recognition), NLP, and AI models come in.

Risk 145

Risk Reporting Marketing Risk Management 145

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137

IT Risk Cost-Benefit Data Science 137

erwin

OCTOBER 17, 2019

At erwin, we’re definitely witnessing this EA evolution as more and more as organizations undertake digital transformation initiatives, including rearchitecting their business models and value streams, as well as responding to increasing regulatory pressures. The Regulatory Rationale for Integrating Data Management & Data Governance.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

CIO Business Intelligence

DECEMBER 19, 2023

Many technology investments are merely transitionary, taking something done today and upgrading it to a better capability without necessarily transforming the business or operating model. These workstreams require documenting a vision, assigning leaders, and empowering teams to experiment.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

erwin

APRIL 30, 2021

In a world where agility and innovation are highly valued, speed is a critical factor for success.COVID-19 forced many businesses to radically change their business models – or re-evaluate their business processes – shifting the focus of enterprise architects. Priority 3: Risk Management – Security and Compliance.

Enterprise 131

Enterprise Digital Transformation Risk Management Risk 131

erwin

JULY 12, 2019

Modern, strategic data governance , which involves both IT and the business, enables organizations to plan and document how they will discover and understand their data within context, track its physical existence and lineage, and maximize its security, quality and value. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

MAY 15, 2024

It seems anyone can make an AI model these days. Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. According to Stanford’s AI Index Report, released in April, 149 foundation models were released in 2023, two-thirds of them open source.

Modeling 137

Modeling Risk Software Enterprise 137

AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. End-users often struggle to find relevant information buried within extensive documents housed in data lakes, leading to inefficiencies and missed opportunities.

Data Lake 115

Data Lake Cost-Benefit Unstructured Data Modeling 115

erwin

AUGUST 20, 2020

As a practice, EA involves the documentation, analysis, design and implementation of an organization’s assets and structure. With an enterprise architecture management suite (EAMS) , an organization can define and document its structure to more effectively determine how to achieve its goals. Innovation Management.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

CIO Business Intelligence

MAY 2, 2024

Security and risk management pros have a lot keeping them up at night. The digital injection attack A digital injection attack is when someone “injects” fake data, including AI-generated documents, photos, and biometrics images, into the stream of information received by an identity verification (IDV) platform.

Strategy 115

Strategy Risk Management Risk Measurement 115

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. They must also introduce operational processes document and disclose copyright-related information during dataset creation.”

Risk 128

Risk Measurement Risk Management Data-driven 128

CIO Business Intelligence

MAY 13, 2024

IBM is betting big on its toolkit for monitoring generative AI and machine learning models, dubbed watsonx.governance , to take on rivals and position the offering as a top AI governance product, according to a senior executive at IBM. watsonx.governance is a toolkit for governing generative AI and machine learning models.

Machine Learning 122

Machine Learning Risk Enterprise Modeling 122

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

IBM Big Data Hub

FEBRUARY 13, 2024

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task.

Enterprise 118

Enterprise Testing Modeling Data-driven 118

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

IBM Big Data Hub

OCTOBER 4, 2022

Manual processes that introduce risk and make it hard to scale. Multiple unsupported tools for building and deploying models. According to Gartner 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted.”

Metadata 97

Metadata Risk Management Risk Experimentation 97

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Cloudera

AUGUST 12, 2021

In a 2021 white paper titled “Data Excellence: Transforming manufacturing and supply systems“ written by the World Economic Forum and the Boston Consulting Group, it documented that 75% of executives interviewed believed that advanced analytics in manufacturing was more important today than three years ago. Risk Management.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. Innovation Management. For example, a COVID response plan will use EA to document if employees work from home, what their roles are, the projects on which they’re working, and what their schedules are. Digital Transformation. Compliance/Legislation. Artificial Intelligence.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

Smart Data Collective

APRIL 22, 2020

Big data software development models vary depending on the ultimate purpose, scale, and other constraints. Using a specified data-driven model/ methodology that considers these factors is key to ensuring a successful deployment of the software. Easier to monitor and troubleshoot Unlikely chance of new expenses Proper documentation.

Data-driven 115

Data-driven Software Big Data Testing 115