bigeye logo
AI Trust
Back
AI Trust

Explore the components that make up AI Trust including Runtime Enforcement, Information Governance and Guardian Agents.

Product Demo
What is AI Trust?
Take the AI Trust Maturity Assessment
Platform
Back
Platform

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

AI Trust Platform Overview
Product Demo
Platform Modules
Metadata ManagementData LineageData ObservabilityData SensitivityData GovernanceAI Guardian
Features
IntegrationsData MonitoringAnomaly DetectionbigAIMonitoring as CodeDev ToolsSecurity
Register for our live monthly product demo webinar
Solutions
Back
Solutions

Understand how Bigeye products and services can help you resolve your data trust challenges based on your role.

Product Demo
By Role
Data EngineerData AnalystData LeaderData ArchitectData GovernanceData Executive
Bigeye Services
Professional Services
Download our Data Observability Guide
Why Bigeye
Back
Why Bigeye

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

Product Demo
Customer Stories
Register for our live monthly product demo webinar
Learn
Back
Learn

Learn more about Bigeye by exploring our content, product tutorials, docs pages and company news.

Product Demo
ResourcesEventsBlogsDocsAPI DocsGlossary
Download our Data Observability Guide
Company
Back
Company

We are at the forefront of helping enterprises scale their data and AI initiatives. Learn more about our history and check out our open roles!

Product Demo
About UsCareersNewsroomPartnersContact Us
Get the latest on data and AI trust right in your inbox.
Sign in
Get a demo
Sign in
Get a demo

Adrianna Vidal

Adrianna Vidal is a writer and content strategist at Bigeye, where she explores how organizations navigate the practical challenges of scaling AI responsibly. With over 10 years of experience in communications, she focuses on translating complex AI governance and data infrastructure challenges into actionable insights for data and AI leaders.

At Bigeye, her work centers on AI trust: examining how organizations build the governance frameworks, data quality foundations, and oversight mechanisms that enable reliable AI at enterprise scale.

Her interest in data privacy and digital rights informs her perspective on building AI systems that organizations, and the people they serve, can actually trust.

recent Posts from this author

Product

Introducing Bigeye’s Looker Connector: Lineage-Enabled Observability for Looker Workflows

Tracking lineage in BI tools can often be a complex and manual process. The Looker Connector changes that.

Adrianna Vidal
This is some text inside of a div block.
arrow icon

Product

Introducing Bigeye’s New Lineage-Enabled Workflows: Helping You Resolve Data Incidents Faster

Powered by Bigeye’s lineage graph, these workflows use downstream impact to prioritize issues, helping data engineering teams focus on what matters most.

Adrianna Vidal
This is some text inside of a div block.
arrow icon

Thought leadership

Only 28% of Organizations Trust Their Data: How Data Observability is Transforming Enterprise Reliability

Only 28% of organizations trust their data—here’s why two-thirds of enterprises are turning to automated observability to change that.

Adrianna Vidal
This is some text inside of a div block.
arrow icon

Thought leadership

What is Data Reliability?

Explore the essentials of data reliability and why it matters to enterprise organizations.

Adrianna Vidal
This is some text inside of a div block.
arrow icon

Thought leadership

A Quick Guide to Data Observability Tools: Finding the Best Fit for Reliable Data

Looking to improve data quality and reliability? This quick guide explores top data observability tools, from specialized solutions to built-in features, helping you find the best fit for monitoring and optimizing your data pipelines. Discover the tools that can elevate your data observability strategy.

Adrianna Vidal
This is some text inside of a div block.
arrow icon

Thought leadership

The Four Pillars of Data Observability

Discover the core pillars of data observability and how they provide the essential insights needed to monitor, manage, and improve data health.

Adrianna Vidal
This is some text inside of a div block.
arrow icon
Previous
Load More
platform
Monitoring
Anomaly detection
Lineage
Monitoring as code
Security
Integrations
Solutions
Data Engineer
Data Governance
Data Architect
Data Leader
Data Analyst
Data Executive
Company
About
Customer Stories
Newsroom
Careers
We're hiring!
Partners
We're hiring!
Contact Us
Terms
Privacy policy
Learn
Resources
Events & webinars
Blog
The Observatory
Developers
Documentation
Developer tools
API docs
Sign in
All systems operational
hello@bigeye.com
Terms of UsePrivacy
© Bigeye XXXX