IBM Big Data Hub

APRIL 20, 2023

When consumers lose trust in a bank’s ability to manage risk, the system stops working. Banks and their employees place trust in their risk models to help ensure the bank maintains liquidity even in the worst of times. Put simply, consumers trust banks to keep their money safe and return the money when requested.

Risk 71

Risk Risk Management Reporting Metadata 71

Octopai

JUNE 19, 2023

Catalogs also allow for better Risk Management; data catalogs help businesses maintain regulatory compliance by providing a clear record of what data is stored and how it’s used. Automate Metadata Capture Leverage metadata management tools like Octopai to automate the process of capturing metadata from various sources.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

IBM Big Data Hub

MAY 9, 2023

Today, AI presents an enormous opportunity to turn data into insights and actions, to help amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. This solution is designed to include everything needed to develop a consistent transparent model management process. It is an imperative.

Metadata 75

Metadata Risk Experimentation Dashboards 75

IBM Big Data Hub

DECEMBER 4, 2023

IBM’s governance framework is built around four core roles within the company: The Policy Advisory Committee: senior global leaders who provide oversight of the AI Ethics Board and help to establish the company’s strategy and risk tolerance. It helps accelerate responsible, transparent and explainable AI workflows.

Consulting 80

Consulting Risk Metadata Risk Management 80

erwin

JULY 12, 2019

Activating their metadata to drive agile data preparation and governance through integrated data glossaries and dictionaries that associate policies to enable stakeholder data literacy. We help customers overcome their data governance challenges, with risk management and regulatory compliance being primary concerns.

Data Governance 110

Data Governance Management Metadata Risk Management 110

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 61

Metadata Risk Management Business Intelligence Data Governance 61

erwin

APRIL 2, 2021

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Lack of a solid data governance foundation increases the risk of data-security incidents. Data Security Starts with Data Governance.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

erwin

OCTOBER 31, 2019

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, introducing governance, manageability and risk issues that must be managed. So being prepared means you can minimize your risk exposure and the damage to your reputation.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

CIO Business Intelligence

JULY 8, 2022

Integrating Risk and Security Certification. The Open Group also offers the Integrating Risk and Security Certification , which validates that you understand several security and risk concepts as they apply to enterprise architecture. The English TOGAF Business Architecture Level 1 exam is priced at US$315.

Risk Management 89

Risk Management Risk Enterprise Metadata 89

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

TDAN

APRIL 20, 2021

Modern airplanes travel the world through all kinds of weather via the use of radar. Oxford Dictionary defines radar as “a system for detecting the presence, direction, distance and speed of an object. Radar is used to indicate there is something that has not yet come to the attention of a person or a group.” […].

Risk 52

Risk Risk Management Metadata Data Governance 52

TDAN

JANUARY 19, 2021

In October 2020, the Office of the Comptroller of the Currency (OCC) announced a $400 million civil monetary penalty against Citibank for deficiencies in enterprise-wide risk management, compliance risk management, data governance, and internal controls.

Data Governance 80

Data Governance Risk Management Risk Management 80

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

erwin

SEPTEMBER 3, 2020

You can collect complete application ecosystem information; objectively identify connections/interfaces between applications, using data; provide accurate compliance assessments; and quickly identify security risks and other issues. You can better manage risk because of real-time data coming into the EA space.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. We bundle these events under the collective term “Risk and Opportunity Events” This post is part of Ontotext’s AI-in-Action initiative aimed to empower data, scientists, architects and engineers to leverage LLMs and other AI models.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Octopai

JUNE 16, 2021

Do you ever feel like taking risks? . If you’re a bank, however, taking risks doesn’t just have implications for you, but for all your customers and (if you’re big enough) for the economy as a whole. . The Basel III framework, as well as Basel IV, call for regulation changes in multiple areas, including: Credit risk.

Management 52

Management Risk Management Risk Visualization 52

erwin

APRIL 29, 2020

An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata? Who are the data owners? What are the transformation rules? Data Governance. The post What is Data Lineage?

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

Octopai

JULY 9, 2020

By adopting automated data lineage and automated metadata tagging, companies have the opportunity to increase their data processing speed. That increase can manage huge endeavors, such as migrations, error location, and new data governance integrations which then become “routine” operations.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

Smart Data Collective

OCTOBER 28, 2020

Many healthcare organizations also retain data for future research into care improvements or related projects, in which case it’s critical to ensure that when you decommission a data system , you also export and appropriately store any associated metadata. Consider, for example, an old piece of software used to manage healthcare data.

Cost-Benefit 126

Cost-Benefit Risk Metadata Software 126

Alation

MARCH 14, 2023

All critical data elements (CDEs) should be collated and inventoried with relevant metadata, then classified into relevant categories and curated as we further define below. Store Where individual departments have their own databases for metadata management, data will be siloed, meaning it can’t be shared and used business-wide.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

IBM Big Data Hub

SEPTEMBER 20, 2022

Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to. Your model risk management team, IT operations team and line-of-business employees also need appropriate access.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. Inaccurate Data Management Leads to Financial Collapse. Inaccurate Data Management Leads to Financial Collapse. Download the Whitepaper.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. Innovation Management. An enterprise architect is now required to understand improved value through many different aspects of the business, including profits and loss, share value, risk, sales, customers and products, to name a few. Digital Transformation. Compliance/Legislation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

erwin

SEPTEMBER 17, 2020

For example, capital markets trading firms must implement data lineage to support risk management, data governance and reporting for various regulations such as the Basel Committee on Banking Supervision’s standard number 239 (BCBS 239) and Markets in Financial Instruments Directive (MiFID II).

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Ontotext

APRIL 21, 2021

The problem was the left hand had no way of knowing the systemic issues around data governance, risk management and compliance framework. Manage Regulation, Manage Risk. Through rich metadata and automated reasoning , it is possible to express the complexity of assets and their relationships. Conclusion.

Metadata 59

Metadata Finance Cost-Benefit Risk 59

Laminar Security

MAY 3, 2023

Six Important Takeaways Around DSPM #1: Organizations are Rapidly Adopting DSPM Solutions to Combat Shadow Data “By 2026, more than 20% of organizations will deploy DSPM technology, due to the urgent requirements to identify and locate previously unknown data repositories and to mitigate associated security and privacy risks.”

Management 52

Management Risk Risk Management Data Processing 52

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 83

Data Architecture Risk Management Risk Management 83

Ontotext

MAY 5, 2023

For example, it can identify subsidiaries of a parent company or detect hidden ownership structures that may be indicative of reputational risk, fraud or regulatory violations. This makes it easier to manage and update information as the industry changes. Abstractions Alignment As humans, we are constantly using abstractions.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

AWS Big Data

MARCH 27, 2023

Tags allows you to assign metadata to your AWS resources. You can define your own key and value for your resource tag, so that you can easily manage and filter your resources. Tags can also improve transparency and map costs to specific teams, products, or applications.

Data Warehouse 83

Data Warehouse Management Snapshot Data Lake 83

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. How do we define “risk” and “value” in the context of data products, and how can we measure this?

Management 77

Management Risk Measurement Optimization 77

Laminar Security

NOVEMBER 16, 2023

DSPM solutions help organizations achieve data security compliance, reduce data breach risks, lower cloud costs, remediate ROT data, and enable data-driven innovation. DSPM solutions scan and monitor your cloud data and identify any sensitive or regulated data that could be at risk or non-compliant.

Risk 59

Risk Cost-Benefit Dashboards Management 59

erwin

DECEMBER 20, 2018

Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Its value can be hard to demonstrate to those who don’t work directly with data and metadata on a daily basis.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Alation

OCTOBER 26, 2021

They need trusted data to drive reliable reporting, decision-making, and risk reduction. Consistent, reliable reporting can then drive more positive outcomes for the entire business, including improved compliance, risk reduction, and increased revenue. “We This is because accurate data is “table stakes” for finance teams.

Finance 52

Finance Data Transformation Enterprise Metrics 52

Alation

JUNE 14, 2021

Do we know the business outcomes tied to data risk management? To support data security, an effective data catalog should have features, like a business glossary, wiki-like articles, and metadata management. “Everything starts by answering basic questions,” says Wayne Anderson, Principal, Security Architect, Microsoft.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

erwin

OCTOBER 24, 2019

While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata. This isn’t an easy task.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Octopai

JULY 12, 2020

With Octopai’s suite of metadata management tools in place, the BI team had a central location for data lineage. We now get the benefit of proliferated data quality.” – Andrew Stewardson, Data Risk Manager, FCSA. Automated Data Lineage & Discovery Provides Enterprise-Wide Benefits.

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

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 78

Risk Management Risk Metrics Machine Learning 78