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 68

Risk Risk Management Reporting Metadata 68

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

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. It drives an AI governance solution without the excessive costs of switching from your current data science platform. It is an imperative.

Metadata 72

Metadata Risk Experimentation Dashboards 72

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 74

Consulting Risk Metadata Risk Management 74

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. That’s a problem since old software quickly becomes a security risk.

Cost-Benefit 128

Cost-Benefit Risk Metadata Software 128

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. It’s not just about granting proper access to data science teams.

Metadata 56

Metadata Machine Learning Data-driven Modeling 56

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. 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. Data Governance 2.0 for Financial Services.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

AWS Big Data

MARCH 27, 2023

Developers, data scientists, and analysts can work across databases, data warehouses, and data lakes to build reporting and dashboarding applications, perform real-time analytics, share and collaborate on data, and even build and train machine learning (ML) models with Redshift Serverless.

Data Warehouse 85

Data Warehouse Management Snapshot Data Lake 85

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). We keep feeding the monster data. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. 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. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

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 Metrics Machine Learning 72

erwin

FEBRUARY 4, 2021

However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Impact analysis has equal importance to IT for automatically tracking changes and understanding how data from one system feeds other systems and reports.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Smart Data Collective

AUGUST 14, 2022

A comprehensive DLP plan can monitor data in transit within networks, cloud storage, and active endpoints. In addition to vulnerability assessment, DLP improves system administrators’ visibility – they can track how every user accesses data and bring the risk of a data leak to a minimum. Building a DLP Plan.

Risk 124

Risk Cost-Benefit Software Reporting 124

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

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.

Management 80

Management Risk Management Risk Data Governance 80

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 Metadata Modeling 52

IBM Big Data Hub

FEBRUARY 22, 2024

Defense leaders focused on operationalizing the responsible curation of AI must first agree upon a shared vocabulary—a common culture that guides safe, responsible use of AI—before they implement technological solutions and guardrails that mitigate risk. Data interpretation takes practice and is an interdisciplinary effort.

Metadata 92

Metadata Measurement Risk Modeling 92

Grooper

OCTOBER 23, 2019

Responsibility for managing your company’s data must be clearly defined and supported. For example, business growth, profits, cost and performance optimization, efficiency, compliance, and risk management. Edwards Deming said, “In God we trust, all others must bring data.” Life Cycle.

Metrics 59

Metrics Measurement Strategy Optimization 59

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. When do new data products get created, and who is allowed to create them?

Management 79

Management Risk Measurement Optimization 79

Andrew White

JANUARY 11, 2021

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Value Management or monetization. Product Management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52