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. In 2024, departments and teams experimented with gen AI tools tied to their workflows and operating metrics.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

Smart Data Collective

SEPTEMBER 21, 2021

However, your data-driven business model won’t be very helpful if you don’t focus on the right metrics. There are many excellent metrics you can monitor to help you grow your business and meet your goals. Plus, the metric can help you plan the best layout for your shop. Sales Per Square Foot.

Data-driven 131

Data-driven Metrics Big Data Sales 131

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. 4] Fairwashing: The Risk of Rationalization , How Can We Fool LIME and SHAP?

Machine Learning 282

Machine Learning Modeling Testing Risk Management 282

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

John Wheeler

SEPTEMBER 15, 2020

As the recovery efforts fully take hold in 2021, a deep understanding of the integrated nature of risks associated with business operations will take center stage. Those businesses that employ a “PRACtical” approach utilizing integrated risk management (IRM) will be in the best position to recover quicker and more successfully.

Risk Management 52

Risk Management Risk Management Business Objectives 52

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. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

CIO Business Intelligence

MARCH 19, 2025

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

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

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management.

Risk 99

Risk Marketing Risk Management Data-driven 99

Cloudera

OCTOBER 20, 2021

As part of these efforts, disclosure requirements will mandate that firms provide “the impact of a company’s activities on the environment and society, as well as the business and financial risks faced by a company due to its sustainability exposures.” What are the key climate risk measurements and impacts? They need to understand;

Risk 80

Risk Modeling Risk Management Measurement 80

IBM Big Data Hub

DECEMBER 8, 2023

.” This same sentiment can be true when it comes to a successful risk mitigation plan. 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.

Risk 67

Risk Strategy Risk Management Insurance 67

Smart Data Collective

NOVEMBER 19, 2021

Though it’s still a high-risk investment, crypto baskets can mitigate risks in various ways. Typically, each platform has its own set of guidelines and rubrics on what comprises a basket as well as notable metric points (such as volatility and developer activity) for an investor’s reference. They Can Mitigate Your Overall Risk.

Risk 133

Risk Risk Management Metrics Marketing 133

CIO Business Intelligence

SEPTEMBER 17, 2024

Rather, they rely on ad hoc inputs such as IT audits, pentest results, one-time security assessments, risk register analysis, and a general understanding of their program. Defining and describing the security risk appetite A security program does not have to achieve perfect security. In fact, achieving perfect security is impossible.

Measurement 111

Measurement Metrics Risk Dashboards 111

DataRobot Blog

DECEMBER 6, 2022

Taking a Multi-Tiered Approach to Model Risk Management. Understand why organizations need a three-pronged approach to mitigating risk among multiple dimensions of the AI lifecycle and what model risk management means to today’s AI-driven companies. Read the blog. Read the blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

JUNE 25, 2024

Charles Dickens’ Tale of Two Cities contrasts London’s order and safety with the chaos and risk of Paris. Such as: Wouldn’t some of this money be better spent improving the company’s infosec risk posture? But that doesn’t make share price a useful metric for evaluating business performance.

Risk 118

Risk Risk Management Statistics Management 118

AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. The calculation methodology and query performance metrics are similar to those of the preceding chart.

Data Warehouse 134

Data Warehouse Dashboards Risk Management Risk 134

CIO Business Intelligence

FEBRUARY 20, 2025

Solid reporting provides transparent, consistent and combined HR metrics essential for strategic planning, risk management and the management of HR measures. It ensures that all relevant data and information is consolidated, evaluated and presented in a clear and concise form.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

CIO Business Intelligence

JULY 13, 2022

Metrics that create a narrative and show how the business compares to competitors, the wider industry, and globally against all businesses give a clear picture that allows board members to set strategy. Burgess returns along with Atlassian Chief Trust Officer Adrian Ludwig to examine insider threats and third-party risk.

Strategy 124

Strategy Metrics Risk Risk Management 124

CIO Business Intelligence

JULY 10, 2024

And as gen AI is deployed by more companies, especially for high-risk, public-facing use cases, we’re likely to see more examples like this. But only 33% of respondents said they’re working to mitigate cybersecurity risks, down from 38% last year. But plans are progressing slower than anticipated because of associated risks,” she says.

Enterprise 136

Enterprise Risk Modeling Risk Management 136

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

CIO Business Intelligence

APRIL 21, 2022

Combining Agile and DevOps with elements such as cloud, testing, security, risk management and compliance creates a modernized technology delivery approach that can help an organization achieve greater speed, reduced risk, and enhanced quality and experience. All hands on deck .

Digital Transformation 145

Digital Transformation Key Performance Indicator Risk Testing 145

CIO Business Intelligence

JUNE 21, 2022

Governance should be designed with adaptability in mind to ensure IT remains in alignment with business objectives, continually providing value while effectively safeguarding the organization against potential risks, Bales says. Poor risk planning. Insufficient operational visibility.

IT 116

IT Risk Measurement Risk Management 116

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

DataRobot Blog

JUNE 27, 2022

If the assumptions are being breached due to fundamental changes in the process being modeled, the deployed system is not likely to serve its intended purpose, thereby creating further model risk that the institution must manage. Monitoring Model Metrics. Figure 1: Data drift tab of a deployed DataRobot model.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 137

IT Risk Cost-Benefit Data Science 137

CIO Business Intelligence

MARCH 12, 2024

When this happens, corporate risk is heightened as preemptive projects get delayed — sometimes for indefinite periods of time. CIOs can change this thinking by incorporating preemptive projects like disaster recovery into their corporate risk management strategies.

ROI 122

ROI IT Manufacturing Metrics 122

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. Hollywood is a $10 billion-a-year industry, and movies range from huge hits to box office bombs.

Risk 67

Risk ROI Modeling Metrics 67

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. Post risk analysis, the enterprise then compares models to see which model best suits the use case at hand, Gentile said.

Machine Learning 122

Machine Learning Risk Enterprise Modeling 122

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52

Risk Modeling Metrics Business Objectives 52

Smart Data Collective

JUNE 3, 2021

Analytics tools enable companies to assess the performance of employees across various metrics and find ways to improve performance. Making better risk assessments. Risk management is one of the most important elements of financial planning. Analytics tools help companies develop better risk scoring models.

Management 124

Management Analytics Finance Analytics Technologies 124

Octopai

JULY 9, 2020

It required banks to develop a data architecture that could support risk-management tools. Not only did the banks need to implement these risk-measurement systems (which depend on metrics arriving from distinct data dictionary tools), they also needed to produce reports documenting their use.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

Smart Data Collective

JUNE 24, 2021

Why Are Small Businesses at Greater Risk. You can evaluate various metrics to see how employees are progressing in their cybersecurity training process. Regulating the use and possession of portable storage devices is one way to manage risk. Cybersecurity analytics is helping address these concerns.

Data Analytics 122

Data Analytics Analytics Internet of Things Measurement 122

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Data-driven 150

CIO Business Intelligence

DECEMBER 6, 2024

Together, they formed an internal team of professionals in financial service fields including regulatory compliance, risk management, and audit, among others. to create risk audit control metrics that assign risk factors to every capability they audit. The team reviews and advises on gen AI use cases.

Marketing 122

Marketing Technology Risk Measurement 122

CIO Business Intelligence

SEPTEMBER 20, 2023

Agile is an amazing risk management tool for managing uncertainty, but that’s not always obvious.” The key is recognizing that planning must be an agile discipline, not a standalone activity performed independently of agile teams. He recommends that leaders identify a metric that focuses on value to the customer.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135

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 Dashboards 72

IBM Big Data Hub

APRIL 19, 2024

Asset management and technological innovation Advancements in technology underpin the need for holistic grid asset management, making the assets in the grid smarter and equipping the workforce with smart tools. Cybersecurity reduces risk exposure for cyberattacks on digitally connected assets.

Management 85

Management Internet of Things Risk IoT 85