IBM Journey to AI blog

AUGUST 1, 2023

A foundation model is built on a neural network model architecture to process information much like the human brain does. models are trained on IBM’s curated, enterprise-focused data lake. The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021.

AI 70

AI AI Machine Learning Machine Learning 70

Alation

MAY 16, 2023

Many organizations use data visualization to identify patterns or consumer trends and communicate findings to stakeholders better. Data Integration A data pipeline can be used to gather data from various disparate sources in one data store. Checking the data quality before and after the cleansing steps is critical.

Data Pipeline 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

Flipboard

JUNE 26, 2023

Companies are faced with the daunting task of ingesting all this data, cleansing it, and using it to provide outstanding customer experience. Typically, companies ingest data from multiple sources into their data lake to derive valuable insights from the data. This will open the ML transforms page.

AWS 123

AWS ML ML ETL 123

Alation

MARCH 1, 2022

Airline Reporting Corporation (ARC) sells data products to travel agencies and airlines. Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed).

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

IBM Journey to AI blog

JULY 3, 2024

Align your data strategy to a go-forward architecture, with considerations for existing technology investments, governance and autonomous management built in. Look to AI to help automate tasks such as data onboarding, data classification, organization and tagging.

AI 45

AI Data Quality AI Database 45

Alation

MAY 16, 2023

Many organizations use data visualization to identify patterns or consumer trends and communicate findings to stakeholders better. Data Integration A data pipeline can be used to gather data from various disparate sources in one data store. Checking the data quality before and after the cleansing steps is critical.

Data Pipeline 40

Data Pipeline Data Governance Data Lakes Data Warehouse 40

IBM Journey to AI blog

JULY 7, 2023

Data protection and data privacy Data protection , defined as protecting important information from corruption, damage or loss, is critical because data breaches resulting from cyberattacks can include personally identifiable information (PII), health information, financial information, intellectual property and other personal data.

Data Governance 40

Data Governance Data Lakes Database Cloud Computing 40