Precisely

SEPTEMBER 5, 2023

As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises.

Data Governance 52

Data Governance Government Data Management Management 52

Precisely

FEBRUARY 23, 2024

How Industry Leaders Get Superior Results The majority of respondents in the Arizent/Digital Insurance study rated their data management processes as being only moderately effective at meeting the core criteria for success. This is especially important when matching third-party data with internal data sets.

Insurance 62

Insurance Data Validation Government High Quality Data 62

Precisely

OCTOBER 16, 2023

For organizations that continue to rely on mainframe systems to process their most mission-critical workloads, the digital revolution demands new approaches to integration. Businesses must tear down the barriers that stand between their core data assets and the globally distributed computing systems driving today’s economy.

Cloud 70

Cloud Cloud Computing Metadata Data Governance 70

The Modern Data Company

FEBRUARY 2, 2023

If ad hoc requests are being answered using the exact same underlying data, governance, and security infrastructure as self-service requests, then it becomes that much easier to migrate a new process from manual ad hoc status to fully self-service. This makes managing and implementing self-service tools easier than ever before.

Government 98

Government Data Governance Machine Learning SQL 98

The Modern Data Company

FEBRUARY 8, 2023

A modern data operating system, like DataOS from The Modern Data Company, provides the underlying platform that can enable successful rollouts of self-service tools to experts and non-experts alike. Is there a way to make this easier? It will compile the results and feed them back to the application that requested it.

Government 98

Government Data Engineering Data Engineer Data Pipeline 98

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. They identified four main categories: capturing intent, system design, human judgement & oversight, regulations. An AI system trained on data has no context outside of that data. System Design.

Government 100

Government Hospitality Education Data Governance 100