IBM Big Data Hub

DECEMBER 8, 2023

The only thing left to do is to let the risks play out and monitor them continuously. An organization is always changing and so are business needs; therefore, it’s important that an organization has strong metrics for tracking over time each risk, its category and the corresponding mitigation strategy.

Risk 68

Risk Strategy Risk Management Insurance 68

IBM Big Data Hub

FEBRUARY 28, 2024

Successful strategic sourcing often results in process optimization, cost management, customer satisfaction, risk management , increased sustainability and other benefits. However, due to their symbiosis, sourcing and procurement strategies often share similar initiatives, business goals and metrics.

Strategy 96

Strategy Technology Cost-Benefit Risk Management 96

IBM Big Data Hub

APRIL 4, 2024

By connecting workflow management, centralizing data management , and fostering collaboration and communication, BPM enables organizations to remain competitive by providing access to accurate and timely data. BPM can also provide real-time visibility into claim status and performance metrics.

Management 55

Management Cost-Benefit Metrics Consulting 55

IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 79

Measurement Metrics Reporting Strategy 79

IBM Big Data Hub

SEPTEMBER 6, 2023

A continuous vulnerability management process helps stop cyberattacks—and soften the blow of those that succeed—by finding and fixing flaws before threat actors can weaponize them. The vulnerability management lifecycle Corporate networks are not static. appeared first on IBM Blog.

Management 99

Management Metrics Risk Reporting 99

Cloudera

OCTOBER 20, 2021

Since then, a further update has been made to the BIS stress testing principles that continues to emphasize the importance of scenarios in better understanding risk. . When it comes to measuring climate risk, generating scenarios will be a critical tactic for financial institutions and asset managers. Assess Variables.

Risk 80

Risk Modeling Risk Management Measurement 80

IBM Big Data Hub

DECEMBER 14, 2023

IBM is supporting clients across industries in their cybersecurity journey by providing comprehensive security capabilities to help make it easier to simplify their risk management and demonstrate regulatory compliance postures.

Risk 84

Risk Enterprise Digital Transformation Risk Management 84

IBM Big Data Hub

MARCH 26, 2024

Our clients are improving their ability to measure and track progress against ESG metrics, while concurrently operationalizing sustainability transformation. Data not only provides the quantitative requirements for ESG metrics, but it also provides the visibility to manage the performance of those metrics.

Measurement 61

Measurement Metrics Strategy Reporting 61

IBM Big Data Hub

APRIL 3, 2024

These new rules join existing regulations in both the US and around the world requiring companies to make climate-related disclosures and provide other ESG-related metrics. The post SEC climate-related disclosure rules for public companies appeared first on IBM Blog.

Risk 53

Risk Gap analysis Reporting Risk Management 53

IBM Big Data Hub

FEBRUARY 13, 2024

It also can help optimize transportation costs and service-level agreements as well as improve inventory management and visibility. Sign up for a 30-day free trial here Risk management Supply chains are under tremendous stress, facing challenges from supply, demand, logistics and shifting industry landscapes.

Cost-Benefit 79

Cost-Benefit Scorecard Risk Recreation/Entertainment 79

IBM Big Data Hub

FEBRUARY 19, 2024

Moreover, enterprise resource planning (ERP) software can integrate different aspects of a business into one system, providing a holistic view of operations and the metrics needed to streamline supply chain processes. A supply chain control tower can connect many sources of data-driven information and improve end-to-end visibility.

Strategy 82

Strategy Management Forecasting Cost-Benefit 82

IBM Big Data Hub

MARCH 4, 2024

Pairing existing cloud governance with new AI governance controls is essential, requiring continual focus to comply with emerging regulatory changes, such as NIST AI Risk Management Framework, the European Union’s Artificial Intelligence act, ISO/IEC 42001 AI Management, and ISO/IEC 23894 AI Risk Management.

Enterprise 98

Enterprise ROI Risk Strategy 98

IBM Big Data Hub

DECEMBER 13, 2023

Additional goals might be risk management and mitigation, supplier relationship management and sustainability considerations. These metrics should align with the defined business objectives and provide quantifiable benchmarks for evaluating performance. Provide necessary training to ensure procurement success.

Strategy 66

Strategy Cost-Benefit Key Performance Indicator Consulting 66

Domino Data Lab

AUGUST 10, 2021

This can be done automatically using the Domino Model Monitor platform by specifying model accuracy metrics and then having the platform notify you if the model performs outside of those metrics. This comes down to model risk management. Modeling in Enterprise MLOps.

Modeling 64

Modeling IT Risk Management Deep Learning 64

CDW Research Hub

MAY 24, 2021

To support these plans, components such as prevention and detection mechanisms, access management, incident response, privacy and compliance, risk management, audit and monitoring, and business continuity planning are all necessary to a successful security program. Develop a security risk management program.

Risk Management 52

Risk Management Risk Unstructured Data Business Objectives 52

DataRobot Blog

JUNE 27, 2022

Monitoring Model Metrics. With this data in hand, we are able to measure both the data drift and model performance, both of which are essential metrics in measuring the health of the deployed model. The accuracy of a model is another essential metric that informs us about its health in a deployed setting.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

JULY 11, 2023

In this blog post, we will delve deeper into each of these principles and provide concrete examples to illustrate their importance. Although metrics may not always be perfect, they must be transparent and available across a comprehensive risk management framework.

Modeling 66

Modeling Testing Experimentation Risk Management 66

IBM Big Data Hub

JUNE 29, 2023

This blog explores the significance of IBP in today’s modern business landscape and highlights its key benefits and implementation considerations. Risk management IBP facilitates proactive risk management by considering various scenarios and identifying potential risks and opportunities.

Key Performance Indicator 76

Key Performance Indicator Forecasting Data Integration Sales 76

IBM Big Data Hub

JUNE 13, 2022

” Examples of RegTech include chatbots that can advise on regulatory questions, cloud-based platforms for regulatory and compliance data management, and computer code that enables more automated processing of data relating to regulations [9]. The post The Future of RegTech for AI Governance appeared first on Journey to AI Blog.

Risk 98

Risk Risk Management Data-driven Metrics 98

IBM Big Data Hub

FEBRUARY 22, 2024

Co-chair Trusted AI committee Linux Foundation AI Contributed to the NIST AI Risk Management Framework; engage with NIST in the area of AI metrics, standards, and testing Curating responsible AI is a multifaceted challenge because it demands that human values be reliably and consistently reflected in our technology.

Metadata 93

Metadata Measurement Risk Modeling 93

DataRobot Blog

JULY 21, 2022

Data scientists need to understand the business problem and the project scope to assess feasibility, set expectations, define metrics, and design project blueprints. Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Define project scope.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

IBM Big Data Hub

FEBRUARY 15, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important as it relates to a company’s business model, risk management strategy , reporting requirements and more. This lack of meaningful metrics isn’t necessarily by design, though.

Reporting 79

Reporting Consulting Risk Metrics 79

Sisense

MAY 13, 2021

An analytic application, on the other hand, displays key performance indicators (KPIs) that enable active monitoring of performance, efficiency, or other business metrics and actions. Metrics and visualizations should reveal actionable insights and advise people on what to do next instead of simply being a dump of data.

Reporting 59

Reporting Analytics Dashboards Key Performance Indicator 59

IBM Big Data Hub

DECEMBER 15, 2023

Sustainable businesses keep track of these metrics to be more proactive with their sustainability efforts. They span business strategy, ESG data, risk management and reporting, circular supply chains, reduced carbon emissions and the energy transition to renewable energy, intelligent assets, responsible computing and green IT.

Consulting 66

Consulting Manufacturing Strategy Risk Management 66

IBM Big Data Hub

JULY 28, 2023

In response, enterprises have made vulnerability management a key component of their cyber risk management strategies. The vulnerability management lifecycle offers a formal model for effective vulnerability management programs in an ever-changing cyberthreat landscape. appeared first on IBM Blog.

Management 64

Management Metrics Risk Measurement 64

Alation

OCTOBER 26, 2021

And, by implementing continuous data reviews, finance teams better support compliance and risk management. Analyst productivity: With Alation, finance teams gain an end-to-end data management perspective. Analyst productivity: With Alation, finance teams gain an end-to-end data management perspective.

Finance 52

Finance Data Transformation Enterprise Metrics 52

Cloudera

MARCH 18, 2021

A single, enterprise-wide platform or coordinated approach for storing and maintaining data can facilitate alignment between the front office, risk management, and finance, setting the stage for a more seamless transition. appeared first on Cloudera Blog. The post FRTB: Will 2023 Finally be the Year?

Risk 55

Risk Machine Learning Risk Management Measurement 55

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. Conclusion.

Risk 52

Risk Modeling Metrics Business Objectives 52

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. However, it is possible to identify some potential drawbacks and apply risk management practices in advance. Pursue a phased approach. Rome wasn’t built in a day: neither will your BI.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CDW Research Hub

NOVEMBER 27, 2019

Monitor metrics and make necessary adjustments. To maintain your email security program, you must review your metrics and key performance indicators (KPIs) regularly. Learn more about our security and risk management approach here or contact a Sirius representative today. Enable reliable cleanup and automation.

Key Performance Indicator 52

Key Performance Indicator Metrics Risk Management Reporting 52

IBM Big Data Hub

JULY 27, 2023

Risk management : Because EAM offers a comprehensive view of all critical assets, it can be an invaluable tool for identifying potential risks, empowering companies to take preemptive steps to avoid accidents and operational disruptions. It can also significantly increase uptime and lifespan.

Cost-Benefit 56

Cost-Benefit IoT Internet of Things Enterprise 56

Sisense

SEPTEMBER 3, 2020

They also put together custom database queries to answer the questions of business users, implement new metrics from existing data, strive to improve data quality, and contribute to correct acquisition of new data. This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports.

Statistics 97

Statistics Metrics Visualization Finance 97

Alation

AUGUST 17, 2022

Constellation Analyst Dion Hinchcliffe suggests that functions should be loosely integrated into the following streams: Governance, risk, compliance. Enterprise risk management. Data management. In terms of measurement, he says “metrics are in the eye of the data consumer. Subscribe to Alation's Blog.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

IBM Big Data Hub

DECEMBER 4, 2023

Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. This phase of planning also covers projected project milestones and well-defined metrics for the system once it goes live.

Testing 73

Testing Consulting Digital Transformation Cost-Benefit 73

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 96

Risk Marketing Risk Management Data-driven 96

IBM Big Data Hub

APRIL 21, 2023

CSRD values sustainability metrics alongside environmental performance, paying particular attention to the “S” in ESG, such as employee health, human rights, bribery, anti-corruption and diversity. Companies that are already subject to the NFRD will need to report on 2024 data (reporting year 2025).

Reporting 43

Reporting Metrics Risk Strategy 43

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