CIO Business Intelligence

JANUARY 14, 2025

Documentation and diagrams transform abstract discussions into something tangible. From documentation to automation Shawn McCarthy 3. Complex ideas that remain purely verbal often get lost or misunderstood. This alignment sets the stage for how we execute our transformation. From control to enablement Shawn McCarthy 2.

Enterprise 119

Enterprise Technology Metrics Measurement 119

Smart Data Collective

SEPTEMBER 17, 2020

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. 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.

Big Data 145

Big Data Finance Risk Management Risk 145

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]. That’s where remediation strategies come in.

Machine Learning 282

Machine Learning Modeling Testing Risk Management 282

IBM Big Data Hub

MAY 28, 2024

While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy? Why it’s important for your security strategy Data powers much of the world economy—and unfortunately, cybercriminals know its value.

Strategy 81

Strategy Measurement Risk Cost-Benefit 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

CIO Business Intelligence

MAY 2, 2024

Security and risk management pros have a lot keeping them up at night. Then, you can develop a strategy that integrates advanced technologies to help you prevent (not just detect) them. Then, you can develop a strategy that integrates advanced technologies to help you prevent (not just detect) them.

Strategy 115

Strategy Risk Management Risk Measurement 115

CIO Business Intelligence

JULY 31, 2023

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. Douglas Merrill, a partner at management consulting firm McKinsey & Co.,

Strategy 98

Strategy Risk Enterprise Risk Management 98

CIO Business Intelligence

JULY 1, 2024

By documenting cases where automated systems misbehave, glitch or jeopardize users, we can better discern problematic patterns and mitigate risks. Real-time monitoring tools are essential, according to Luke Dash, CEO of risk management platform ISMS.online.

Reporting 129

Reporting Risk Management Experimentation Risk 129

IBM Big Data Hub

DECEMBER 8, 2023

The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events. Contingency plans should be in place if something drastic changes or risk events occur.

Risk 67

Risk Strategy Risk Management Insurance 67

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. 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

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. Document Design and Deployment For Regulations and Clarity.

Risk Management 52

Risk Management Risk Modeling Management 52

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

CIO Business Intelligence

JUNE 27, 2024

They must also introduce operational processes document and disclose copyright-related information during dataset creation.” Effective risk management will be crucial for addressing legal and reputational risks, and innovation strategies may require adjustments to comply with regulatory standards.

Risk 128

Risk Measurement Risk Management Data-driven 128

erwin

SEPTEMBER 17, 2020

For example, automatically importing mappings from developers’ Excel sheets, flat files, Access and ETL tools into a comprehensive mappings inventory, complete with auto generated and meaningful documentation of the mappings, is a powerful way to support overall data governance. Data quality is crucial to every organization.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

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. Depending on the risk level of certain individuals, background checks can range from two to 24 hours.

Risk 145

Risk Reporting Marketing Risk Management 145

O'Reilly on Data

JANUARY 22, 2019

Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below. However, it is a well documented fact that stocks, bonds, currencies, and commodities have fat-tailed distributions. Indeed, this parameter is hard to estimate.

Modeling 210

Modeling Finance Uncertainty Data mining 210

erwin

FEBRUARY 20, 2020

Whether documenting systems and technology, designing processes and value streams, or managing innovation and change, organizations need flexible but powerful EA and BP tools they can rely on for collecting relevant information for decision-making. The Advantages of Enterprise Architecture & Business Process Modeling from erwin.

Enterprise 128

Enterprise Modeling Dashboards Visualization 128

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

CIO Business Intelligence

MARCH 4, 2025

It outlines strategies to ensure operations continue, minimize disruption, and drive preventative measures and contingency plans. This diligence results in a decision matrix that balances investment, value, and risk. Download the AI Risk Management Enterprise Spotlight.)

Testing 64

Testing Risk Consulting Risk Management 64

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 13, 2024

It focuses on three core areas of documentation: compliance, risk management, and model lifecycle management — processes IBM says are intertwined. What is IBM’s strategy with watsonx.governance? watsonx.governance is a toolkit for governing generative AI and machine learning models.

Machine Learning 122

Machine Learning Risk Enterprise Modeling 122

CIO Business Intelligence

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

CIO Business Intelligence

NOVEMBER 3, 2023

One major benefit of AI in supply chain management is that, in the source-to-pay process, companies can gather immediate intuitive intelligence. AI helps to turn past activities and successes into actionable strategies for future projects at a stroke. By automating repetitive tasks, difficult problems get more attention, too.

Digital Transformation 128

Digital Transformation Risk Management Machine Learning Risk 128

erwin

APRIL 30, 2021

The top priority became mobility through a cloud-first strategy. 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

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. It also helps define strategy and models, improving interdepartmental cohesion and communication.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

CIO Business Intelligence

JUNE 8, 2023

There’s a strong need for workers with expertise in helping companies make sense of data, launch cloud strategies, build applications, and improve the overall user experience. Companies need qualified CTOs, CIOs, vice presidents, and directors who are focused on developing and overseeing the business’ overall technology strategy and goals.

IT 140

IT Digital Transformation Software Risk 140

erwin

JULY 12, 2019

So it’s important to understand how to use strategic data governance to manage the complexity of regulatory compliance and other business objectives … Designing and Operationalizing Regulatory Compliance Strategy. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

SEPTEMBER 13, 2024

A holistic view of the environment To bridge this gap, Torres introduced risk management platform Asimily that delivers greater IoT device visibility so it’s easier to identify exploitable vulnerabilities on medical devices and equipment. According to Torres, the strategy has proven to be successful.

Risk 128

Risk IT IoT Statistics 128

CIO Business Intelligence

OCTOBER 3, 2023

They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. Intelligent document processing: uses artificial intelligence and machine learning techniques to automate the processing of documents and unstructured data.

Cost-Benefit 122

Cost-Benefit Machine Learning Interactive Software 122

CIO Business Intelligence

MARCH 24, 2023

The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Data governance framework Data governance may best be thought of as a function that supports an organization’s overarching data management strategy.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

AUGUST 30, 2024

The HRIP certification exam is comprised of 90 multiple-choice questions to be completed within 120 minutes, and covers technology strategy, assessment, selection, implementation, operations, and upgrades, as well as HR and business processes.

Cost-Benefit 118

Cost-Benefit Risk Management Strategy Testing 118

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

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. Today, top AI-assistant capabilities delivering results include generating code, test cases, and documentation. Generative AI, IT Strategy

Advertising 124

Advertising Cost-Benefit Experimentation Reporting 124

CIO Business Intelligence

JULY 6, 2023

Classic examples are the use of AI to capture and convert semi-structured documents such as purchase orders and invoices, Fleming says. We’re equipping this tool with a private ‘knowledge base’ of AT&T-specific data, with chat enabled to get answers directly from these internal AT&T documents and materials.”

Cost-Benefit 119

Cost-Benefit Technology Unstructured Data Testing 119

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. Invest in data hygiene and collection strategies to keep your engine running smoothly. Automate tedious, repetitive tasks.

Enterprise 118

Enterprise Testing Modeling Data-driven 118

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

DataRobot Blog

JULY 21, 2022

Document assumptions and risks to develop a risk management strategy. Identify a consumption strategy. This helps you identify high-impact factors to focus business strategies, explain results to stakeholders, and steer model development to comply with regulations. Define project scope.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98