CIO Business Intelligence

DECEMBER 20, 2024

A new report from the US Government Accountability Office (GAO) appears to indicate that no US federal agency reporting into the Department of Homeland Security (DHS) knows the full extent or probability of harm that AI can do the nations critical infrastructure.

Risk 72

Risk Reporting Strategy Risk Management 72

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

erwin

MARCH 12, 2020

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

Enterprise 85

Enterprise Reporting Management ROI 85

CIO Business Intelligence

DECEMBER 19, 2023

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

NOVEMBER 15, 2024

A once in a generation opportunity Mayorkas explained the need for the framework in a report outlining the initiative, “AI is already altering the way Americans interface with critical infrastructure. Hopefully, we will see this framework continue to evolve.” “Hopefully, we will see this framework continue to evolve.”

Risk 118

Risk Risk Management Strategy Software 118

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

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

CIO Business Intelligence

NOVEMBER 21, 2023

There are ample reasons why 77% of IT professionals are concerned about shadow IT, according to a report from Entrust. At the same time, CIOs, CISOs, and compliance officers need to establish a risk management framework to quantify when shadow IT creates business issues or significant risks.

IT 137

IT Risk Cost-Benefit Risk Management 137

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

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

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. Models built in the past may be embedded in reports, application systems, and business processes. White Paper.

Modeling 105

Modeling Risk Management Testing Risk 105

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data. Who are the data owners?

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8]. Currency amounts reported in Taiwan dollars.

Machine Learning 194

Machine Learning Modeling Testing Risk Management 194

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 89

Metadata Risk Management Business Intelligence Data Governance 89

erwin

APRIL 30, 2021

According to Deloitte’s Enterprise Architecture’s Role in Recovering from a Crisis report, organizations typically respond to a crisis over three phases: respond, recover and thrive. Priority 3: Risk Management – Security and Compliance. Businesses are paying close attention to risk from internal and external sources.

Enterprise 131

Enterprise Digital Transformation Risk Management Risk 131

erwin

OCTOBER 17, 2019

Analyst firm Ovum recently released a new report titled Ovum Market Radar: Enterprise Architecture. it ensures not only access to proper documentation but also current, updated information. The Regulatory Rationale for Integrating Data Management & Data Governance. Data security/risk management.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

CIO Business Intelligence

JUNE 27, 2024

“For instance, to comply with the Generative AI Copyright Disclosure Act, organizations will need to allocate workforce and budget for tracking and reporting copyrighted content, ensuring transparency, and complying with the disclosure requirements,” said Dai.

Risk 128

Risk Measurement Risk Management Strategy 128

CIO Business Intelligence

MARCH 5, 2024

CIOs must also partner with CISOs, legal, human resources, and business leaders to build awareness of policies and develop a generative AI risk management strategy. While that’s a limitation, there are reports of promised functionality not yet available.

Advertising 124

Advertising Cost-Benefit Experimentation Software 124

Cloudera

AUGUST 12, 2021

A data-driven approach to talent management and development brings about greater transparency, reduced attrition and more effective training and enablement. A 2020 retention report by the Work Institute revealed that over 42 million employees in the US left their jobs voluntarily in 2019, and this trend appeared to be increasing.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

IBM Big Data Hub

FEBRUARY 8, 2024

” European Parliament News The EU AI Act in brief The primary focus of the EU AI Act is to strengthen regulatory compliance in the areas of risk management, data protection, quality management systems, transparency, human oversight, accuracy, robustness and cyber security.

Risk Management 72

Risk Management Risk Machine Learning Metrics 72

CIO Business Intelligence

NOVEMBER 23, 2022

Unlike other frameworks, EA doesn’t include a formal documentation structure; instead, it’s intended to offer a more holistic view of the enterprise. EA is also used in systems development, IT management and decision-making, and IT risk management to eliminate errors, system failures, and security breaches.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

CIO Business Intelligence

JUNE 26, 2023

The average mortgage requires 280 pages 2 of documents to be prepared, verified, and checked, contributing to an average cost of more than $11,000 in production expenses 3 per loan in the third quarter of 2022. Machine-managed risk Risk management is a top-of-mind issue for all financial services firms.

Data-driven 98

Data-driven Insurance Risk Risk Management 98

Octopai

JULY 9, 2020

Actually, effective data lineage delivers important enhancements to BI and enables informed decision-making , as it enables data teams to tackle numerous use cases such as regulatory compliance, system upgrades & migrations, M&A (system consolidation), reporting inaccuracies, business changes etc.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

CIO Business Intelligence

SEPTEMBER 13, 2024

And in KnowBe4’s 2024 International Healthcare Report, the global healthcare sector experienced 1,613 cyberattacks per week in the first three quarters of 2023, nearly four times the global average. The global healthcare cybersecurity market is set to reach $58.4 So there was a very real gap in our defenses.”

Risk 128

Risk IT IoT Statistics 128

Jet Global

JUNE 25, 2021

Enter insightsoftware, a leading provider of financial reporting and enterprise performance management software. With tools that are efficient, flexible, and highly secure, insightsoftware is the financial reporting resource of choice for over 25,000 organizations worldwide. “We

Technology 95

Technology Finance Risk Management Manufacturing 95

CIO Business Intelligence

JANUARY 19, 2024

“It’s a key issue that needs attention, and a CIO can and should set the tone and practices for effective stakeholder management,” says Brett Tucker, an adjunct professor of cyber risk management at Carnegie Mellon University’s Heinz College.

Management 119

Management Consulting Risk Strategy 119

CIO Business Intelligence

MAY 15, 2024

According to Stanford’s AI Index Report, released in April, 149 foundation models were released in 2023, two-thirds of them open source. Europe’s AI Act will require some of this documentation, but most of its provisions won’t go into effect until 2026, she says. “I And there are an insane number of variants. Take bias, for example. “We

Modeling 137

Modeling Risk Software Enterprise 137

Cloudera

JUNE 12, 2024

Traditional machine learning (ML) models enhance risk management, credit scoring, anti-money laundering efforts and process automation. Some of the biggest and well-known financial institutions are already realizing value from AI and GenAI: JPMorgan Chase uses AI for personalized virtual assistants and ML models for risk management.

Finance 79

Finance Risk Management Risk Data-driven 79

CIO Business Intelligence

MARCH 24, 2023

They must be accompanied by documentation to support compliance-based and operational auditing requirements. It must be clear to all participants and auditors how and when data-related decisions and controls were introduced into the processes. Data-related decisions, processes, and controls subject to data governance must be auditable.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

FEBRUARY 4, 2021

While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in complexity because of more: Data to handle, much of it unstructured. Data Governance Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

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. Generative AI proves highly useful in rapidly creating various types of documentation required by coders. Automate tedious, repetitive tasks.

Enterprise 118

Enterprise Testing Modeling Data-driven 118

CIO Business Intelligence

JUNE 8, 2023

This demand for skilled IT workers is reflected in the rising average salaries of certain job titles as companies compete for top talent, according to data from the 2023 Dice Tech Salary Report.

IT 140

IT Digital Transformation Software Risk 140

erwin

JULY 8, 2020

You then can understand where your data is, how you can find it, how you can monetize it, how you can report on it, and how you can visualize it. Business process modeling is also critical for risk management and regulatory compliance. BPM for Regulatory Compliance.

Slice and Dice 136

Slice and Dice Modeling Digital Transformation Visualization 136

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. Innovation Management. See also: Forrester’s Enterprise Architecture Management Suite Report. 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.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

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 98

Data Lake Cost-Benefit Unstructured Data Modeling 98

erwin

OCTOBER 24, 2019

Organizations are dealing with numerous data types and data sources that were never designed to work together and data infrastructures that have been cobbled together over time with disparate technologies, poor documentation and with little thought for downstream integration. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

IBM Big Data Hub

OCTOBER 4, 2022

This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. The ability to track and share model facts and documentation across the organization provides backup for analytic decisions. Model risk management is used to identify, manage, monitor and report on risk and compliance initiatives at scale.

Metadata 97

Metadata Risk Management Risk Experimentation 97