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Hidden risk of shadow data and shadow AI leads to higher breach costs

IBM Journey to AI blog

.” This translated into data not being classified properly or at all, not being properly protected, and not being managed in terms of its lifecycle as it moves into and within the organization. Breaches involving shadow data also took 26.2% longer to identify and 20.2% longer to contain, averaging 291 days.

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Alation Named a Leader in the IDC MarketScape for Data Catalogs (Again!)

Alation

This report underscores the growing need at enterprises for a catalog to drive key use cases, including self-service BI , data governance , and cloud data migration. You can download a copy of the report here. But do they empower many user types to quickly find trusted data for a business decision or data model?

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How Alation’s Data Team Uses the Modern Data Stack to Power Insights

Alation

We specialize in multiple functions, which include but are not limited to, data governance , dashboarding, data & analytics engineering, and data science. At Alation, we focus most of our time on connecting data sources and building useful data transformations to provide reporting for different teams.

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Why Data without Context Lacks Integrity

Precisely

Many people use the term to describe a data quality metric. Technical users, including database administrators, might tell you that data integrity concerns whether or not the data conforms to a pre-defined data model. That gives decision-makers visibility to the “whole truth” of their enterprise data.

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Alation Ranked Top Data Catalog Third Year in a Row

Alation

A key finding of the survey is that the ability to find data contributes greatly to the success of BI initiatives. In the study, 75% of the 770 survey respondents indicated having difficulty in locating and accessing analytic content including data, models, and metadata. Subscribe to Alation's Blog.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Model versioning, lineage, and packaging : Can you version and reproduce models and experiments? Can you see the complete model lineage with data/models/experiments used downstream? It sits between the data lake and cloud object storage, allowing you to version and control changes to data lakes at scale.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

NoSQL Databases NoSQL databases do not follow the traditional relational database structure, which makes them ideal for storing unstructured data. They allow flexible data models such as document, key-value, and wide-column formats, which are well-suited for large-scale data management.