AI Trust

Back

AI Trust

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

What is AI Trust?Agent Trust Hub

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

Platform Modules

Metadata Management Data Lineage Data Observability Data Sensitivity Data Governance AI Guardian Agent Trust Hub

Features

Integrations Data Monitoring Anomaly Detection bigAI Monitoring as Code Dev Tools Security

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.

By Role

Data Engineer Data Analyst Data Leader Data Architect Data Governance Data Executive

By Industry

Lineage for Financial Services

Pro Services

Professional Services

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.

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.

Resources Events Blogs Docs API Docs Glossary

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!

About Us Executive Leadership Careers Newsroom Partners Contact Us

Get the latest on data and AI trust right in your inbox.

The Observatory

filter

Company

Engineering

Product

Thought leadership

Clear all filters

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Introducing Bigeye's Databricks connector for Agent Trust Hub

Connect Databricks to Agent Trust Hub.

This is some text inside of a div block.

Agent Trust Hub for compliance teams

Controlling AI agents when they act on data.

This is some text inside of a div block.

Agent Trust Hub for enterprise AI leaders

Visibility and trust for enterprise AI programs.

This is some text inside of a div block.

Why Data Reliability Needs An Operating Model (Not More Alerts)

Gaurav Rastogi shares a smarter model for scaling data trust.

This is some text inside of a div block.

GRC vs. AI governance: what's the difference?

How GRC and AI governance differ.

This is some text inside of a div block.

What is GRC?

Governance, risk, and compliance.

This is some text inside of a div block.

Best AI certifications in 2026

Which AI certifications are worth pursuing?

This is some text inside of a div block.

Agentic AI vs. generative AI: what's the difference?

What separates agentic from generative AI?

This is some text inside of a div block.

A brief history of Snowflake

A brief history of Snowflake.

This is some text inside of a div block.

What is shadow AI?

Unauthorized AI use across your organization.

This is some text inside of a div block.

Klarna's AI customer service deployment | AI Autopsy 002

Investigating the reversal.

This is some text inside of a div block.

How to detect shadow AI agents

Detecting AI agents you didn't authorize

This is some text inside of a div block.

Introducing Agent Trust Hub

One hub for agent trust and activity.

This is some text inside of a div block.

The Slack emoji pack for data and AI teams

Download the pack, add your favorites to Slack, and react accordingly.

This is some text inside of a div block.

Agent registry vs. agent catalog vs. agent inventory

Three terms, three distinct definitions.

This is some text inside of a div block.

What is an agent registry?

The system of record for AI agents.

This is some text inside of a div block.

Data classification tools: how to evaluate them

How to evaluate data classification software.

This is some text inside of a div block.

What is data discovery and classification?

Find it, classify it, control access.

This is some text inside of a div block.

What is data classification?

Levels, types, policy, and the AI question.

This is some text inside of a div block.

AI TRiSM explained

Gartner's framework for AI trust and security.

This is some text inside of a div block.

What is agentic AI?

AI that acts.

This is some text inside of a div block.

What is AI agent governance?

The controls that keep AI agents accountable

This is some text inside of a div block.

What is an AI trust hub?

Centralizing trust signals across enterprise AI.

This is some text inside of a div block.

What are guardian agents?

Enforcement for AI agents in production.

This is some text inside of a div block.

Why AI governance programs fail to move from policy to practice

The main issue with enterprise AI governance programs.

This is some text inside of a div block.

What AI governance platforms cover and the data pipelines they don't

Not all platforms are created equal.

This is some text inside of a div block.

What is an agent trust platform? The answer depends on who you ask

A full breakdown of the category.

This is some text inside of a div block.

How Starbucks' AI inventory tool went from 99% accuracy to retired in nine months | AI Autopsy Issue 01

Dissecting the public rollback.

This is some text inside of a div block.

What is AI agent sprawl?

Why AI agents multiply faster than oversight.

This is some text inside of a div block.

Data governance for Snowflake Intelligence agents

What governing Snowflake Intelligence requires.

This is some text inside of a div block.

How to track AI agent costs and token usage

What tracking AI agent costs actually requires.

This is some text inside of a div block.

AI Trust Supported by Governance: Notes from DAMA NYC Data Day

Jim Barker recaps DAMA NYC 2026.

This is some text inside of a div block.

What Does a Chief AI Officer Do?

A breakdown of the role and responsibilities.

This is some text inside of a div block.

Critical Metrics for AI Trust

Learn the key metrics for AI trust across evolving, agent-driven AI systems.

This is some text inside of a div block.

The Data + AI Iceberg: What's Below the Surface

The eleven foundational disciplines that sit below the waterline.

This is some text inside of a div block.

The State of 'State of AI' Reports in 2026

A running list of major AI reports published in 2026.

This is some text inside of a div block.

Your AI Agents are Organizationally Blind. Lineage and Context Can Fix That.

AI agents don't know which data to trust, until you teach them.

This is some text inside of a div block.

Thought leadership

AI in Financial Services: How the Largest Institutions Are Using it Right Now

How financial services is deploying AI at enterprise scale.

This is some text inside of a div block.

Thought leadership

CDO and CISO: The Relationship That Makes or Breaks Enterprise AI Rollouts

The real blocker isn't what (or who) you think it is.

This is some text inside of a div block.

Thought leadership

The AI Data Readiness Model

Four capabilities. Five stages. One clear picture.

This is some text inside of a div block.

Thought leadership

The Enterprise AI Stack, Explained

A simple guide of the enterprise AI stack.

This is some text inside of a div block.

Thought leadership

AI in the Energy Sector: Oil and Gas, Utilities, and Renewables

Where the energy sector is using AI at enterprise scale.

This is some text inside of a div block.

Thought leadership

The Relationship Between Data Quality and AI Trust

Data quality alone doesn't produce AI trust.

This is some text inside of a div block.

Thought leadership

The House of Data Series: People & Leadership

This is some text inside of a div block.

Thought leadership

Data Trust vs. AI Trust: What's the Difference?

Understand the key differences between data trust and AI trust.

This is some text inside of a div block.

Thought leadership

The House of Data Series: Data Literacy

This is some text inside of a div block.

Thought leadership

Trustworthy AI: What It Means and Why It's Important

What trustworthy AI means, and what it requires.

This is some text inside of a div block.

Thought leadership

The House of Data Series: Data Consumption

This is some text inside of a div block.

Thought leadership

We're Launching The AI Trust Summit

The AI Trust Summit in 2026 will bring together the leaders solving the biggest AI challenges.

This is some text inside of a div block.

Thought leadership

Responsible AI: Principles and Why It's Important

What responsible AI looks like for enterprises.

This is some text inside of a div block.

Day Three Dispatch: Gartner Data & Analytics Summit 2026

The theme of Day Three? Adaptability.

This is some text inside of a div block.

Thought leadership

The House of Data Series: Enablement

This is some text inside of a div block.

Thought leadership

Day Two Dispatch: Gartner Data & Analytics Summit 2026

The silent threats threatening to derail enterprise AI initiatives.

This is some text inside of a div block.

Thought leadership

Day One Dispatch: Gartner Data & Analytics Summit 2026

Four key themes and where to get started.

This is some text inside of a div block.

Thought leadership

The House of Data Series: Compliance

This is some text inside of a div block.

Product

How Lineage Works: A Bigeye Product Walkthrough

How end-to-end data lineage works within Bigeye.

This is some text inside of a div block.

Product

Introducing: Lineage for Financial Services

Audit-ready lineage for financial services.

This is some text inside of a div block.

Thought leadership

The House of Data Series: DataOps

This is some text inside of a div block.

Thought leadership

The 5 Reliability Metrics Every CDO Must Improve Quarterly

A quarterly data reliability report card.

This is some text inside of a div block.

Company

Onsites and Remote Life: Swimming Together While We Work Apart

Balancing remote work, distributed teams, and in-person bonding time.

This is some text inside of a div block.

Product

Architecting AI Trust: The Role of Sensitive Data Scanning

Sensitive Data Scanning powers AI-safe access to enterprise data.

This is some text inside of a div block.

Thought leadership

Webinar Recap: Insights from 400+ Enterprise AI Initiatives

A quick recap of our top takeaways.

This is some text inside of a div block.

Thought leadership

The House of Data Series: Data Security

This is some text inside of a div block.

Thought leadership

Webinar Replay: Insights from 400+ Enterprise AI Initiatives

What the data reveals in 2026.

This is some text inside of a div block.

Thought leadership

The House Of Data Series: Data Privacy

This is some text inside of a div block.

Product

How Sensitive Data Scanning Works: A Bigeye Product Walkthrough

How and when to use Sensitive Data Scanning in Bigeye.

This is some text inside of a div block.

Thought leadership

Live Keynote: Ensuring Trust Through Governed Agentic AI

A talk from The AI Summit New York on scaling AI safely without slowing innovation.

Eleanor Treharne-Jones

This is some text inside of a div block.

Thought leadership

Speed vs. Safety: The AI Dilemma Enterprise Leaders Are Facing

Enterprise AI leaders feel trapped between moving fast and staying safe.

This is some text inside of a div block.

Thought leadership

The House Of Data Series: Data Quality

This is some text inside of a div block.

Thought leadership

The House of Data Series: Data Architecture

This is some text inside of a div block.

Product

Introducing: Bigeye's AI Guardian

The AI Guardian acts as a data access gateway that evaluates every AI request against policies.

This is some text inside of a div block.

Thought leadership

The Data Quality Crisis Killing AI Projects (and Other Hard Truths.)

What BARC's new research uncovered about AI's biggest production challenges.

This is some text inside of a div block.

Product

Introducing: Sensitive Data Scanning

Today, we’re announcing Sensitive Data Scanning capabilities within Bigeye

This is some text inside of a div block.

Thought leadership

The House of Data Series: What Is The House Of Data?

A systems view of enterprise data.

This is some text inside of a div block.

Product

How We Turn Customer Needs into Product Features

Behind the scenes of working with customers to build their dream features.

This is some text inside of a div block.

Company

Life at Bigeye: Drew Stark, Head of Sales

Meet Drew, Head of Sales at Bigeye.

This is some text inside of a div block.

Product

How Does Bigeye Handle Your Sensitive Data? Our Field CTO Breaks It Down.

A technical breakdown of what data Bigeye stores, which features access raw data, and security configuration options.

This is some text inside of a div block.

Product

Inside Bigeye: How We Use AI to Solve Enterprise Data’s Biggest Problems

Machine learning, patent-pending tech, and automation built for enterprise data.

This is some text inside of a div block.

Thought leadership

Your GPAI Compliance Strategy Has a Vendor-Shaped Hole

How to audit your AI vendors (before they become regulatory nightmares,)

This is some text inside of a div block.

Company

Life at Bigeye: Tyler Jones, Senior Staff Software Engineer

Meet Tyler, Senior Staff Software Engineer at Bigeye.

This is some text inside of a div block.

Thought leadership

The CISO's Guide to Not Getting Blindsided by EU GPAI Rules: Part I, Foundations

If your understanding of EU AI Act compliance stops at "we use OpenAI Enterprise," you're about to have a problem.

This is some text inside of a div block.

Thought leadership

So You Want to Buy a Data Observability Tool– Now What?

You’re ready to buy a data observability tool, but are you aware of these considerations before you do?

This is some text inside of a div block.

Product

How NOV Built Data Confidence Across Eight Data Warehouses with Bigeye

Data observability success in the oil and gas industry.

This is some text inside of a div block.

Thought leadership

In Conversation with EY Park and Rahim Hajee: The 4 Pillars of Enterprise AI Success

A recap of the Toronto roadshow conversation with EY and Rahim.

Eleanor Treharne-Jones

This is some text inside of a div block.

Product

Monte Carlo vs Bigeye: An In-Depth Feature Comparison

Explore how Monte Carlo and Bigeye stack up across key features and use cases.

This is some text inside of a div block.

Company

Life at Bigeye: Alex Nouhan, Customer Success Engineer

Meet Alex, Bigeye's Customer Success Engineer.

This is some text inside of a div block.

Thought leadership

From Unaware to Operational: The 5 Stages of AI Trust Maturity

Explore the five stages of AI Trust maturity and what it takes to continue advancing.

This is some text inside of a div block.

Product

Bigeye Expands Data Quality Capabilities with Three New Features

Introducing: customizable data quality dimensions, join rules, and asset linking.

This is some text inside of a div block.

Thought leadership

How to Overcome AI Fear in Your Organization

Four strategies to overcome organizational AI anxiety.

This is some text inside of a div block.

Thought leadership

3 Enterprise Leaders on Building AI Agents That Actually Work

Enterprise leaders from Improzo, Frontdoor, and GlobalLogic share their experiences building AI agents.

This is some text inside of a div block.

Thought leadership

5 Hard-Won Lessons from the Frontlines of Enterprise AI Leadership

5 lessons from enterprise leaders who have been in the AI trenches.

This is some text inside of a div block.

Company

Life at Bigeye: Diane Worthington, People and Engagement Manager

Meet Diane, Bigeye's People and Engagement Manager.

Diane Worthington

This is some text inside of a div block.

Product

Enterprise Software Accessibility: Bigeye’s Approach to Inclusive Data Tool Design

Accessibility is deeply integrated into our development process. Here's how we approach it.

This is some text inside of a div block.

Thought leadership

AI Risk Management: The Gap Nobody Wants to Talk About

If you're not managing AI risk, you're not managing AI: you're chasing hype.

This is some text inside of a div block.

Company

Life at Bigeye: Riley Gercak, Event Marketing Manager

Meet Riley, Bigeye's Event Marketing Manager.

This is some text inside of a div block.

Thought leadership

Understanding Data Profiling: A Foundation for Better Business Intelligence

Learn how data profiling creates a solid foundation for reliable business intelligence and analytics.

This is some text inside of a div block.

Thought leadership

5 Questions to Pressure-Test Your AI Foundation

Five critical questions every data leader should ask to assess where your org is at with AI.

This is some text inside of a div block.

Thought leadership

AI Readiness Audit: The 5 Questions Every Data Leader Should Be Asking | Video Webinar

A practical framework for assessing whether your data is helping (or hurting) your AI strategy.

This is some text inside of a div block.

Thought leadership

Bridging the AI Hype Gap: Real-World Insights From Data Leaders On What It Takes To Succeed

Real talk from data leaders on closing the gap between AI hype and reality.

This is some text inside of a div block.

Product

Introducing Bigeye's AI Trust Platform

Bigeye is building the first AI Trust Platform for agent data usage.

This is some text inside of a div block.

Events & Webinars

The Observatory

filter

Case study

eBook

Guide

Research

Whitepaper

Clear all filters

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Guide

House of Data Series

A strong data program is built like a house. Seven domain pillars rise from the Data Architecture support, each one essential to a complete data program: Data Quality, Privacy, Data Security, DataOps, Compliance, Data Enablement, and Data Consumption. With Data Leadership and Literacy protecting and enabling the program itself.

This is some text inside of a div block.

Guide

Gartner® Market Guide for Data Observability Tools

This is some text inside of a div block.

Guide

Gartner® Market Guide for Guardian Agents

This is some text inside of a div block.

Guide

EU AI Act: Evaluate GPAI Vendor Readiness

A comprehensive vendor due diligence questionnaire for GPAI compliance.

This is some text inside of a div block.

Research

BARC Research Study: Successful Delivery of AI/GenAI

This is some text inside of a div block.

Whitepaper

AI Trust at Scale: Your Guide to Managing Agentic AI in the Enterprise

This is some text inside of a div block.

Guide

Build vs Buy: Choosing a Data Observability Platform

Make a confident decision with this essential guide to building vs. buying observability solutions.

This is some text inside of a div block.

Guide

Ultimate Guide To Data Observability

This is your one-stop shop for all things data observability. Learn what data observability is, who it’s for and who uses it, how it benefits organizations, how it works, key terms, use cases, and best practices.

This is some text inside of a div block.

Guide

Data Observability RFP

Data observability vendors vary widely in their capabilities. Use this template to accelerate your evaluation process and improve your chances of partnering with the right vendor for your unique needs.

This is some text inside of a div block.

Guide

Team Deployment Guide for Data Observability

In this guide, we have taken our collective learnings and created a path to building observability according to the unique structure of your data team.

This is some text inside of a div block.

Guide

Data Quality Survey Template

Prior to making an investment in data observability products or data quality initiatives, companies often want to conduct a data quality survey. Below, we present a template for such a survey that can be filled out for your own use.

This is some text inside of a div block.

Whitepaper

Autothresholds: Intelligent Anomaly Detection

A detailed overview of how Bigeye Autothresholds alert data teams to the issues that matter most.

This is some text inside of a div block.

Guide

How to Evaluate a Data Observability Platform

This guide is the end result of thousands of hours and dozens of experts and customers, distilled into the best way to run a thorough data observability evaluation. Check it out!

This is some text inside of a div block.

Guide

Trustworthy Data in Snowflake: A Field Guide

In this guide, we have taken our collective learnings and created a path to building trust in your Snowflake data.

This is some text inside of a div block.

Research

Bigeye's Growth and Vision in Data Observability

From 451: 'Data observability' specialist Bigeye is treating data quality more like a continuous engineering and monitoring challenge rather than an ad hoc remediation challenge.

This is some text inside of a div block.

Case study

Scaling enterprise data management with Bigeye

Learn how Bigeye is helping Freedom Mortgage achieve their mission of helping veterans and low-income borrowers buy homes.

Case study

How NOV built data confidence across eight data warehouses

Oil and Gas

Case study

Delivering trusted data products to the enterprise

Learn how Bigeye is helping Zoom achieve their vision of delivering trusted data products to business decision makers.

Case study

Driving marketing performance with reliable testing data

Learn how JustAnswer uses Bigeye to ensure optimal marketing results and drive customer acquisition and revenue performance for their business.

Business-logic monitoring

Case study

Bringing Reliability to CI/CD Data Pipelines

Mayan uses Bigeye to validate data pipeline merges and deliver self-serve analytics dashboards at scale.

Growth

Case study

Reliability at scale for highly-sensitive industries

About Crux: Solving tough data problems at scale

Growth

Case study

A Strong Data Culture Gets Stronger with Trusted Data

With Bigeye, Udacity has one place to understand data quality and has reduced detection times from 3+ days to under 24 hours.

Enterprise

Case study

Embracing risk without sacrificing reliability

Impira uses Bigeye as the safety net for its dynamic go-to-market strategy — ensuring that the team can move fast with reliable data.

Machine learning

Case study

Managing big data with a nimble team

Learn how the SimpleRose team uses Bigeye to deliver reliable data for large-scale data operations.

Big data

filter

Conference

Webinar

Clear all filters

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Data & AI Leaders Dinner at Databricks

Join Bigeye for a private dinner with AI and Data leaders, featuring meaningful discussion and modern dining at Alexander’s Steakhouse in San Francisco.

Data & AI Leaders Dinner

Join Bigeye for a private evening of exceptional dining and roundtable discussion, hosted at STK Steakhouse.

Data & AI Leaders Dinner at Data Decoded

Join Bigeye for a private evening of exceptional dining and roundtable discussion, hosted at Faber.

AI Leaders Dinner

Join Bigeye for a private evening of exceptional dining and roundtable discussion, hosted on property at the Gaylord Palms Resort.

September 24, 2025

Data + AI Leaders Dinner in London

Join Bigeye and Atlan for a private evening of roundtable discussion and exceptional dining in London.

Snowflake Summit 2025

Get a personalized demo, grab exclusive swag, and see data observability in action at Booth #1805.

Data & AI Leaders Dinner

Join us for an exclusive evening of networking, roundtable discussion and fine dining at The Fly Trap.

Data & AI Executive Dinner

Join us for an exclusive evening of modern dining, hand-crafted drinks, and even better connections at Zero Sette.

October 21, 2024

Data & Dine Executive Dinner

Join us for an exclusive evening of thoughtful discussion and exceptional dining at Jaleo by José Andrés.

Data Leaders Dinner

Join us for an exclusive evening of roundtable discussion and exceptional dining at Jaleo by José Andrés.

The AI Data Readiness Tour

Join us in NYC for the kick-off to our data and AI readiness roadshow. Hear from industry leaders at the forefront of AI-ready data.

Data & Dine Executive Dinner

Join us for an exclusive evening of networking, roundtable discussion and fine dining at STK Steakhouse.

Snowflake Summit 2024

Meet us at Snowflake Summit! Sign up for a personalized demo, grab exclusive swag at booth 1302, and see enterprise data observability in action.

filter

Company

Engineering

Product

Thought leadership

Clear all filters

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Introducing Bigeye's Databricks connector for Agent Trust Hub

Connect Databricks to Agent Trust Hub.

This is some text inside of a div block.

Agent Trust Hub for compliance teams

Controlling AI agents when they act on data.

This is some text inside of a div block.

Agent Trust Hub for enterprise AI leaders

Visibility and trust for enterprise AI programs.

This is some text inside of a div block.

Why Data Reliability Needs An Operating Model (Not More Alerts)

Gaurav Rastogi shares a smarter model for scaling data trust.

This is some text inside of a div block.

GRC vs. AI governance: what's the difference?

How GRC and AI governance differ.

This is some text inside of a div block.

What is GRC?

Governance, risk, and compliance.

This is some text inside of a div block.

Best AI certifications in 2026

Which AI certifications are worth pursuing?

This is some text inside of a div block.

Agentic AI vs. generative AI: what's the difference?

What separates agentic from generative AI?

This is some text inside of a div block.

A brief history of Snowflake

A brief history of Snowflake.

This is some text inside of a div block.

What is shadow AI?

Unauthorized AI use across your organization.

This is some text inside of a div block.

Klarna's AI customer service deployment | AI Autopsy 002

Investigating the reversal.

This is some text inside of a div block.

How to detect shadow AI agents

Detecting AI agents you didn't authorize

This is some text inside of a div block.

Introducing Agent Trust Hub

One hub for agent trust and activity.

This is some text inside of a div block.

The Slack emoji pack for data and AI teams

Download the pack, add your favorites to Slack, and react accordingly.

This is some text inside of a div block.

Agent registry vs. agent catalog vs. agent inventory

Three terms, three distinct definitions.

This is some text inside of a div block.

What is an agent registry?

The system of record for AI agents.

This is some text inside of a div block.

Data classification tools: how to evaluate them

How to evaluate data classification software.

This is some text inside of a div block.

What is data discovery and classification?

Find it, classify it, control access.

This is some text inside of a div block.

What is data classification?

Levels, types, policy, and the AI question.

This is some text inside of a div block.

AI TRiSM explained

Gartner's framework for AI trust and security.

This is some text inside of a div block.

What is agentic AI?

AI that acts.

This is some text inside of a div block.

What is AI agent governance?

The controls that keep AI agents accountable

This is some text inside of a div block.

What is an AI trust hub?

Centralizing trust signals across enterprise AI.

This is some text inside of a div block.

What are guardian agents?

Enforcement for AI agents in production.

This is some text inside of a div block.

Why AI governance programs fail to move from policy to practice

The main issue with enterprise AI governance programs.

This is some text inside of a div block.

What AI governance platforms cover and the data pipelines they don't

Not all platforms are created equal.

This is some text inside of a div block.

What is an agent trust platform? The answer depends on who you ask

A full breakdown of the category.

This is some text inside of a div block.

How Starbucks' AI inventory tool went from 99% accuracy to retired in nine months | AI Autopsy Issue 01

Dissecting the public rollback.

This is some text inside of a div block.

What is AI agent sprawl?

Why AI agents multiply faster than oversight.

This is some text inside of a div block.

Data governance for Snowflake Intelligence agents

What governing Snowflake Intelligence requires.

This is some text inside of a div block.

How to track AI agent costs and token usage

What tracking AI agent costs actually requires.

This is some text inside of a div block.

AI Trust Supported by Governance: Notes from DAMA NYC Data Day

Jim Barker recaps DAMA NYC 2026.

This is some text inside of a div block.

What Does a Chief AI Officer Do?

A breakdown of the role and responsibilities.

This is some text inside of a div block.

Critical Metrics for AI Trust

Learn the key metrics for AI trust across evolving, agent-driven AI systems.

This is some text inside of a div block.

The Data + AI Iceberg: What's Below the Surface

The eleven foundational disciplines that sit below the waterline.

This is some text inside of a div block.

The State of 'State of AI' Reports in 2026

A running list of major AI reports published in 2026.

This is some text inside of a div block.

Your AI Agents are Organizationally Blind. Lineage and Context Can Fix That.

AI agents don't know which data to trust, until you teach them.

This is some text inside of a div block.

Thought leadership

AI in Financial Services: How the Largest Institutions Are Using it Right Now

How financial services is deploying AI at enterprise scale.

This is some text inside of a div block.

Thought leadership

CDO and CISO: The Relationship That Makes or Breaks Enterprise AI Rollouts

The real blocker isn't what (or who) you think it is.

This is some text inside of a div block.

Thought leadership

The AI Data Readiness Model

Four capabilities. Five stages. One clear picture.

This is some text inside of a div block.

Thought leadership

The Enterprise AI Stack, Explained

A simple guide of the enterprise AI stack.

This is some text inside of a div block.

Thought leadership

AI in the Energy Sector: Oil and Gas, Utilities, and Renewables

Where the energy sector is using AI at enterprise scale.

This is some text inside of a div block.

Thought leadership

The Relationship Between Data Quality and AI Trust

Data quality alone doesn't produce AI trust.

This is some text inside of a div block.

Thought leadership

The House of Data Series: People & Leadership

This is some text inside of a div block.

Thought leadership

Data Trust vs. AI Trust: What's the Difference?

Understand the key differences between data trust and AI trust.

This is some text inside of a div block.

Thought leadership

The House of Data Series: Data Literacy

This is some text inside of a div block.

Thought leadership

Trustworthy AI: What It Means and Why It's Important

What trustworthy AI means, and what it requires.

This is some text inside of a div block.

Thought leadership

The House of Data Series: Data Consumption

This is some text inside of a div block.

Thought leadership

We're Launching The AI Trust Summit

The AI Trust Summit in 2026 will bring together the leaders solving the biggest AI challenges.

This is some text inside of a div block.

Thought leadership

Responsible AI: Principles and Why It's Important

What responsible AI looks like for enterprises.

This is some text inside of a div block.

Day Three Dispatch: Gartner Data & Analytics Summit 2026

The theme of Day Three? Adaptability.

This is some text inside of a div block.

Thought leadership

The House of Data Series: Enablement

This is some text inside of a div block.

Thought leadership

Day Two Dispatch: Gartner Data & Analytics Summit 2026

The silent threats threatening to derail enterprise AI initiatives.

This is some text inside of a div block.

Thought leadership

Day One Dispatch: Gartner Data & Analytics Summit 2026

Four key themes and where to get started.

This is some text inside of a div block.

Thought leadership

The House of Data Series: Compliance

This is some text inside of a div block.

Product

How Lineage Works: A Bigeye Product Walkthrough

How end-to-end data lineage works within Bigeye.

This is some text inside of a div block.

Product

Introducing: Lineage for Financial Services

Audit-ready lineage for financial services.

This is some text inside of a div block.

Thought leadership

The House of Data Series: DataOps

This is some text inside of a div block.

Thought leadership

The 5 Reliability Metrics Every CDO Must Improve Quarterly

A quarterly data reliability report card.

This is some text inside of a div block.

Company

Onsites and Remote Life: Swimming Together While We Work Apart

Balancing remote work, distributed teams, and in-person bonding time.

This is some text inside of a div block.

Product

Architecting AI Trust: The Role of Sensitive Data Scanning

Sensitive Data Scanning powers AI-safe access to enterprise data.

This is some text inside of a div block.

Thought leadership

Webinar Recap: Insights from 400+ Enterprise AI Initiatives

A quick recap of our top takeaways.

This is some text inside of a div block.

Thought leadership

The House of Data Series: Data Security

This is some text inside of a div block.

Thought leadership

Webinar Replay: Insights from 400+ Enterprise AI Initiatives

What the data reveals in 2026.

This is some text inside of a div block.

Thought leadership

The House Of Data Series: Data Privacy

This is some text inside of a div block.

Product

How Sensitive Data Scanning Works: A Bigeye Product Walkthrough

How and when to use Sensitive Data Scanning in Bigeye.

This is some text inside of a div block.

Thought leadership

Live Keynote: Ensuring Trust Through Governed Agentic AI

A talk from The AI Summit New York on scaling AI safely without slowing innovation.

Eleanor Treharne-Jones

This is some text inside of a div block.

Thought leadership

Speed vs. Safety: The AI Dilemma Enterprise Leaders Are Facing

Enterprise AI leaders feel trapped between moving fast and staying safe.

This is some text inside of a div block.

Thought leadership

The House Of Data Series: Data Quality

This is some text inside of a div block.

Thought leadership

The House of Data Series: Data Architecture

This is some text inside of a div block.

Product

Introducing: Bigeye's AI Guardian

The AI Guardian acts as a data access gateway that evaluates every AI request against policies.

This is some text inside of a div block.

Thought leadership

The Data Quality Crisis Killing AI Projects (and Other Hard Truths.)

What BARC's new research uncovered about AI's biggest production challenges.

This is some text inside of a div block.

Product

Introducing: Sensitive Data Scanning

Today, we’re announcing Sensitive Data Scanning capabilities within Bigeye

This is some text inside of a div block.

Thought leadership

The House of Data Series: What Is The House Of Data?

A systems view of enterprise data.

This is some text inside of a div block.

Product

How We Turn Customer Needs into Product Features

Behind the scenes of working with customers to build their dream features.

This is some text inside of a div block.

Company

Life at Bigeye: Drew Stark, Head of Sales

Meet Drew, Head of Sales at Bigeye.

This is some text inside of a div block.

Product

How Does Bigeye Handle Your Sensitive Data? Our Field CTO Breaks It Down.

A technical breakdown of what data Bigeye stores, which features access raw data, and security configuration options.

This is some text inside of a div block.

Product

Inside Bigeye: How We Use AI to Solve Enterprise Data’s Biggest Problems

Machine learning, patent-pending tech, and automation built for enterprise data.

This is some text inside of a div block.

Thought leadership

Your GPAI Compliance Strategy Has a Vendor-Shaped Hole

How to audit your AI vendors (before they become regulatory nightmares,)

This is some text inside of a div block.

Company

Life at Bigeye: Tyler Jones, Senior Staff Software Engineer

Meet Tyler, Senior Staff Software Engineer at Bigeye.

This is some text inside of a div block.

Thought leadership

The CISO's Guide to Not Getting Blindsided by EU GPAI Rules: Part I, Foundations

If your understanding of EU AI Act compliance stops at "we use OpenAI Enterprise," you're about to have a problem.

This is some text inside of a div block.

Thought leadership

So You Want to Buy a Data Observability Tool– Now What?

You’re ready to buy a data observability tool, but are you aware of these considerations before you do?

This is some text inside of a div block.

Product

How NOV Built Data Confidence Across Eight Data Warehouses with Bigeye

Data observability success in the oil and gas industry.

This is some text inside of a div block.

Thought leadership

In Conversation with EY Park and Rahim Hajee: The 4 Pillars of Enterprise AI Success

A recap of the Toronto roadshow conversation with EY and Rahim.

Eleanor Treharne-Jones

This is some text inside of a div block.

Product

Monte Carlo vs Bigeye: An In-Depth Feature Comparison

Explore how Monte Carlo and Bigeye stack up across key features and use cases.

This is some text inside of a div block.

Company

Life at Bigeye: Alex Nouhan, Customer Success Engineer

Meet Alex, Bigeye's Customer Success Engineer.

This is some text inside of a div block.

Thought leadership

From Unaware to Operational: The 5 Stages of AI Trust Maturity

Explore the five stages of AI Trust maturity and what it takes to continue advancing.

This is some text inside of a div block.

Product

Bigeye Expands Data Quality Capabilities with Three New Features

Introducing: customizable data quality dimensions, join rules, and asset linking.

This is some text inside of a div block.

Thought leadership

How to Overcome AI Fear in Your Organization

Four strategies to overcome organizational AI anxiety.

This is some text inside of a div block.

Thought leadership

3 Enterprise Leaders on Building AI Agents That Actually Work

Enterprise leaders from Improzo, Frontdoor, and GlobalLogic share their experiences building AI agents.

This is some text inside of a div block.

Thought leadership

5 Hard-Won Lessons from the Frontlines of Enterprise AI Leadership

5 lessons from enterprise leaders who have been in the AI trenches.

This is some text inside of a div block.

Company

Life at Bigeye: Diane Worthington, People and Engagement Manager

Meet Diane, Bigeye's People and Engagement Manager.

Diane Worthington

This is some text inside of a div block.

Product

Enterprise Software Accessibility: Bigeye’s Approach to Inclusive Data Tool Design

Accessibility is deeply integrated into our development process. Here's how we approach it.

This is some text inside of a div block.

Thought leadership

AI Risk Management: The Gap Nobody Wants to Talk About

If you're not managing AI risk, you're not managing AI: you're chasing hype.

This is some text inside of a div block.

Company

Life at Bigeye: Riley Gercak, Event Marketing Manager

Meet Riley, Bigeye's Event Marketing Manager.

This is some text inside of a div block.

Thought leadership

Understanding Data Profiling: A Foundation for Better Business Intelligence

Learn how data profiling creates a solid foundation for reliable business intelligence and analytics.

This is some text inside of a div block.

Thought leadership

5 Questions to Pressure-Test Your AI Foundation

Five critical questions every data leader should ask to assess where your org is at with AI.

This is some text inside of a div block.

Thought leadership

AI Readiness Audit: The 5 Questions Every Data Leader Should Be Asking | Video Webinar

A practical framework for assessing whether your data is helping (or hurting) your AI strategy.

This is some text inside of a div block.

Thought leadership

Bridging the AI Hype Gap: Real-World Insights From Data Leaders On What It Takes To Succeed

Real talk from data leaders on closing the gap between AI hype and reality.

This is some text inside of a div block.

Product

Introducing Bigeye's AI Trust Platform

Bigeye is building the first AI Trust Platform for agent data usage.

This is some text inside of a div block.

Tags

Analytics

Census

Data catalog

Data governance

Data Science

Hex

Mode

Reverse ETL

Tech debt

Clear all filters

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

The observatory

Dan Shiebler, Abnormal

Dan Shiebler, head of ML and AI at Abnormal, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss resilient ML, cybersecurity, and more.

No items found.

This is some text inside of a div block.

The observatory

Dawn Woodard, LinkedIn

Dawn Woodard, distinguished data scientist and LinkedIn, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss data science careers, managing teams, and more.

No items found.

This is some text inside of a div block.

The observatory

Adi Polak, lakeFS

Adi Polak, VP of devex at Treeverse, and Kyle Kirwan, CEO and co-founder of Bigeye, careers in developer experience, the open-source data community, the biggest "oh damn moment" of Adi's career, and more.

Analytics

Data catalog

This is some text inside of a div block.

The observatory

Colin Zima, Omni

Colin Zima, founder of Omni, talks about workbook models, lessons learned from Looker, and nudging toward scalability.

No items found.

This is some text inside of a div block.

The observatory

Ethan Aaron, Portable

Ethan Aaron, founder of Portable, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss the MVP modern data stack, the data tracks controversy, and two trends in data you should be leveraging right now.

No items found.

This is some text inside of a div block.

The observatory

Andrew Jones, GoCardless

Andrew Jones, tech lead for the data pillar at GoCardless, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss the invention of data contracts and building out the data pillar of a fintech unicorn.

No items found.

This is some text inside of a div block.

The observatory

Justin Berka, Nearside

Justin Berka, head of data at Nearside, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss accidental data careers, finding superstars for data roles, and the challenges of the T-shape.

No items found.

This is some text inside of a div block.

The observatory

Chad Sanderson, Convoy

Chad Sanderson, head of data at Convoy, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss the hub-and-spoke data team structure, 1990s data initiatives, and resolving long-term technical debt.

Tech debt

This is some text inside of a div block.

The observatory

Caitlin Colgrove, Hex Technologies

Caitlin Colgrove, founder and CTO of Hex Technologies, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss the proliferation of tools along the data pipeline and why teams are gaining the technical chops to work with them.

Data Science

Hex

This is some text inside of a div block.

The observatory

Benn Stancil, Mode

Benn and Kyle Kirwan, CEO and co-founder of Bigeye, converse on the rise of code-forward data analytics tools and why, despite better tools, the demand for data analytics is still unmet.

Analytics

Mode

This is some text inside of a div block.

The observatory

Boris Jabes, Census

Boris Jabes, founder and CEO of Census, weighs in on reverse ETL (and its derivatives) and shares his view for what people get wrong about the data field.

Census

Reverse ETL

This is some text inside of a div block.

The observatory

Mark Grover, Stemma

Kyle, from The Observatory, and Mark Grover, founder and CEO of Stemma, discuss data catalogs, the history of data, and how open source and data catalogs go hand in hand.

Data catalog

Data governance

This is some text inside of a div block.

Join the Bigeye Newsletter

1x per month. Get the latest in data observability right in your inbox.

platform

Anomaly detection

Monitoring as code

Solutions

Data Governance

Company

Customer Stories

Learn

Events & webinars

The Observatory

Developers

Developer tools

All systems operational

hello@bigeye.com

Terms of Use Privacy

© Bigeye XXXX