Remove Data Classification Remove Data Lakes Remove Machine Learning
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How foundation models and data stores unlock the business potential of generative AI

IBM Journey to AI blog

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. models are trained on IBM’s curated, enterprise-focused data lake. That’s where the foundation model enters the picture. All watsonx.ai

AI 70
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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data Integration A data pipeline can be used to gather data from various disparate sources in one data store. This makes it easier to compare and contrast information and provides organizations with a unified view of their data.

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The Role of the Data Catalog in Data Security

Alation

Do we know the business outcomes tied to data risk management? These questions drive classification. Once you have data classification then you can talk about whether you need to tokenize and why, or anonymize and why, or encrypt and why, etc.” Guided Navigation Guided navigation helps data stewards locate sensitive data.

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Harmonize data using AWS Glue and AWS Lake Formation FindMatches ML to build a customer 360 view

Flipboard

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
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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data Integration A data pipeline can be used to gather data from various disparate sources in one data store. This makes it easier to compare and contrast information and provides organizations with a unified view of their data.