AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. 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. View and edit tags.

Data Warehouse 87

Data Warehouse Management Snapshot Data Lake 87

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

OCTOBER 4, 2022

According to Gartner 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted.” Challenges around managing risk. This includes capturing of the metadata, tracking provenance and documenting the model lifecycle.

Metadata 99

Metadata Risk Risk Management Experimentation 99

IBM Big Data Hub

MAY 9, 2023

There are 3 main reasons why organizations struggle with adopting AI: a lack of confidence in operationalizing AI, challenges around managing risk and reputation, and scaling with growing AI regulations. This solution is designed to include everything needed to develop a consistent transparent model management process.

Metadata 75

Metadata Risk Experimentation Dashboards 75

IBM Big Data Hub

APRIL 20, 2023

When consumers lose trust in a bank’s ability to manage risk, the system stops working. This trust depends on an understanding of the data that inform risk models: where does it come from, where is it being used, and what are the ripple effects of a change? Trust is the cornerstone on which the banking industry is built.

Risk 71

Risk Risk Management Reporting Metadata 71

Octopai

JANUARY 19, 2020

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. BCBS 239 and Automated Metadata Management Tools. Getting Compliant with Metadata Management Automation .

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

IBM Big Data Hub

DECEMBER 4, 2023

In a new case study featuring IBM, Gartner talks about how to establish a governance framework to streamline the process of detecting and managing technology ethics concerns in AI projects. It helps accelerate responsible, transparent and explainable AI workflows. GARTNER is a registered trademark and service mark of Gartner, Inc.

Consulting 78

Consulting Risk Metadata Risk Management 78

erwin

OCTOBER 31, 2019

The Regulatory Rationale for Integrating Data Management & Data Governance. Data is a critical asset used to operate, manage and grow a business. However, when key data isn’t discovered, harvested, cataloged, defined and standardized as part of integration processes, audits may be flawed and therefore your organization is at risk.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

CIO Business Intelligence

JULY 8, 2022

Offered by The Open Group, TOGAF advises enterprises on how best to implement, deploy, manage, and maintain enterprise architecture. TOGAF is designed to help organizations implement enterprise architecture management using a standardized framework that is still highly customizable to a company’s specific enterprise architecture needs.

Risk Management 102

Risk Management Risk Enterprise Metadata 102

erwin

APRIL 2, 2021

Organizations are managing more data than ever. 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. Data is a valuable asset used to operate, manage and grow a business.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

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

Alation

MARCH 14, 2023

A data strategy is a long-term plan setting out the technologies, processes, people, and rules that manage data. A well-executed data strategy ensures best practice in data management – and is therefore key for defence partners in meeting the outcomes and rules set out here. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Octopai

JULY 9, 2020

As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. It required banks to develop a data architecture that could support risk-management tools.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

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

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

Smart Data Collective

OCTOBER 28, 2020

What few of these groups know how to reckon with, though, is how to best manage data that’s no longer in use – particularly data from systems the organization has since retired. This can apply to any of the major data management systems used in healthcare , from EHRs to medical imaging platforms and opioid use monitoring platforms.

Cost-Benefit 127

Cost-Benefit Risk Metadata Software 127

erwin

SEPTEMBER 3, 2020

Documenting data in motion looks at how data flows between source and target systems and not just the data flows themselves but also how those data flows are structured in terms of metadata. You can better manage risk because of real-time data coming into the EA space. Automating Data Governance and Enterprise Architecture.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

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

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. Innovation Management. Application Portfolio Management. See also: Forrester’s Enterprise Architecture Management Suite Report. Process (including the product life cycle, the development, the quality, the management and the assurance processes). Cloud Migration.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

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

IBM Big Data Hub

SEPTEMBER 20, 2022

Guardrails during model building, deployment, management and monitoring. This is where technology such as IBM FactSheets , can help by reducing the manual labor needed to capture metadata and other facts about a model across stages of the AI lifecycle. According to Gartner, 53% of AI and ML projects are stuck in pre-production phases.

Metadata 56

Metadata Machine Learning Data-driven Modeling 56

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

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 Data Quality 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. In addition to compliance, top drivers turned out to be improving customer satisfaction, reputation management, analytics and Big Data.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Laminar Security

NOVEMBER 16, 2023

Increasingly, businesses are turning to what Gartner has termed Data Security Posture Management (DSPM). DSPM solutions help organizations achieve data security compliance, reduce data breach risks, lower cloud costs, remediate ROT data, and enable data-driven innovation. DSPM enriches the data security intelligence of SIEM.

Risk 59

Risk Cost-Benefit Dashboards Management 59

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 82

Data Architecture Risk Management Risk Management 82

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. Intelligent systems powered by machine learning are necessary for overcoming the challenges of data management.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Changes in system architecture get reflected as substantial changes in how we collect, use, and manage data, and therefore become drivers for DG. Granted, I’m no expert in DG.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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. They can add metadata in the business glossary to indicate what types of compliance reporting a term supports.

Finance 52

Finance Data Transformation Enterprise Metrics 52

Octopai

FEBRUARY 21, 2022

There’s no denying the immense benefits that cloud computing can bring to data management: easier scalability, reduced cost of IT operations, improved performance… the list goes on. But since lucky stars are generally frowned upon as a risk management strategy, we highly recommend you plan out your cloud migration process.

Recreation/Entertainment 78

Recreation/Entertainment Cost-Benefit ROI Reporting 78

TDAN

SEPTEMBER 17, 2019

There have been a couple of different things converged in my media feeds that highlight a key issue that all data management professionals and leaders in information management need to be conscious of – Group Think. This manifests itself in at least two ways in the following examples I’ll use to illustrate my points. Each […].

Management 80

Management Risk Management Risk Data Governance 80

Octopai

JUNE 16, 2021

The excessive financial risk-taking engaged in by banks on the eve of the 2007-2009 financial recession prompted new regulations to strengthen the supervision, regulation and risk management of banks. 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

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 76

Risk Management Risk Metrics Machine Learning 76

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 89

Data Governance Metadata Data Quality Risk Management 89

Ontotext

FEBRUARY 26, 2024

Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

FEBRUARY 8, 2023

There is a growing need to proactively drive responsible, fair, and ethical decisions, designed to: Manage risk and reputation No organization wants to be in the news for the wrong reasons, and recently there have been a lot of stories in the press regarding issues of unfair, unexplainable, or biased AI.

Risk Management 52

Risk Management Risk Modeling Metadata 52

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