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See the most recent Vendor articles below.


Solving “Bad Data” -- A $3 Trillion-Per-Year Problem

Data quality is still a struggle for many enterprises, and new types of data and input techniques are adding to the burden. Jonathan Grandperrin, CEO of Mindee, explains the impact of bad data and how enterprises can use deep learning and APIs as part of their “good data” strategy.

Data Digest: Data Governance, Self-Service, and Data Quality

These articles explore modern approaches to data governance and the goals of data governance programs.

Pecan AI Announces One-Click Data Science Model Deployment, Automated Live Model Monitoring

By automating model deployment, Pecan takes brings data science to BI analysts, marketers, and other business users.

Data Stories: Food Labels, Land for Agriculture, Coffee Treats

Data visualizations about labeling food for carbon impact, the amount of land used for food production, and the calories in caffeinated drinks.

ChaosSearch Enhances Log Analytics for Operational Investigation, Visualization, Alerting at Scale

New features eliminate architectural complexity challenges associated with existing cloud data platforms to deliver operational intelligence for cloud services monitoring, threat hunting, and troubleshooting.

Data Digest: Data Science, Customer Data, and Problem-Solving

Using data science in retail, improving customer experience, and solving problems with design thinking.

5 Steps to Implementing a Modern Data Fabric Framework

If your organization wants a modern data management strategy, consider following the five fundamental steps to implementing a data fabric framework described here.

Data Digest: Data Mesh Advantages and Alternatives, Plus Data Sharing

Combining data mesh and data fabric, considering the hub-and-spoke model, and modern knowledge-sharing tools.

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