The Texas Record

FEBRUARY 2, 2021

What is metadata, and why is it so important when archiving electronic records? Metadata is descriptive information (data) about stuff. To use a common example, imagine you are buying a season of your favorite television show being sold as local store in whatever format you prefer (VHS, DVD, Blu-RAY, etc.).

Archiving 116

Archiving Digital preservation Metadata Computer and Electronics 116

IBM Big Data Hub

FEBRUARY 22, 2024

IBM’s Scaled Data Science Method , an extension of CRISP-DM, offers governance across the AI model lifecycle informed by collaborative input from data scientists, industrial-organizational psychologists, designers, communication specialists and others. The CRISP-DM model is useful here.

Artificial Intelligence 94

Artificial Intelligence Metadata Military Government 94

The Texas Record

JANUARY 25, 2021

What is metadata, and why is it so important when archiving electronic records? Metadata is descriptive information (data) about stuff. To use a common example, imagine you are buying a season of your favorite television show being sold as local store in whatever format you prefer (VHS, DVD, Blu-RAY, etc.).

Archiving 40

Archiving Digital preservation Metadata Computer and Electronics 40

erwin

APRIL 15, 2020

On a business level, decisions based on bad external data may have the potential to cause business failures. In business, data is the food that feeds the body or enterprise. Better data makes the body stronger and provides a foundation for the use of analytics and data science tools to reduce errors in decision-making.

Government 134

Government Data science Metadata Analytics 134

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. GPT-3, OpenAI’s language prediction model that can process and generate human-like text, is an example of a foundation model. Capture and document model metadata for report generation.

Government 72

Government Risk Artificial Intelligence Metadata 72

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Analytics 63

Analytics Data science Cloud Metadata 63

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Perform data quality monitoring based on pre-configured rules.

Metadata 52

Metadata Analytics Big data Unstructured data 52