Bigeye launches the industry’s first Enterprise AI Trust Platform. Explore now →
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Explore the components that make up AI Trust including Runtime Enforcement, Information Governance and Guardian Agents.

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Ensure your AI data is accurate, governed, and compliant — so you can scale your AI responsibly.

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Bigeye is the Enterprise AI Trust platform that improves data and AI visibility, accelerates AI deployments, and promotes stakeholder trust.

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Engineering

Lessons Learned from Uber: Designing an Intelligent Data Quality Monitor

In this blog, I will discuss the considerations that should be made before undertaking a data quality initiative.

Henry Li
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Mar 30, 2021

min read

Engineering

Seven Principles for Reliable Data Pipelines

How we applied Google’s SRE principles to data at Uber

Kyle Kirwan
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Oct 1, 2021

min read

Engineering

Deploying data observability: wide or deep?

Borrowing patterns from Site Reliability Engineering (SRE) and DevOps, data observability tools help data teams to understand the internal state and behavior of their data.

Kyle Kirwan
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Feb 10, 2022

min read

Engineering

A day in the life of a data reliability engineer

We researched recent job posts to gather a series of common responsibilities that candidates might expect to find in a DRE role.

Kyle Kirwan
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May 20, 2022

min read

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Making sense of machine learning and artificial intelligence models by monitoring the training data

When you're training ML /AI models, the input data selection process matters. Build solid ML/AI model performance with data observability.

Henry Li
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Jul 18, 2023

min read

Engineering

Why data lineage is mission-critical for businesses today

What is data lineage, what makes it difficult to do well, and how should organizations leverage it? In this post, we'll walk through it.

Egor Gryaznov
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Aug 7, 2023

min read

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