The Data Downtime Blog

The latest trends and news in data + AI observability.

Most recent

When the Model Isn’t the Problem: How Data Gaps Undermine AI Systems

AI quality issues are on the rise and data + AI leaders are just beginning to feel the pain. One of the most common perpetrators? Data quality issues. At Monte Carlo, we’re no strangers to the impact of data quality—particularly at the scale and complexity of AI applications. However, we recently experienced that impact first-hand—and […]

How Model Context Protocol (MCP) Drives Adoption—and Doesn’t.

Why CDAIOs Are Losing Sleep—Top 3 Priorities for 2025

Best Data Observability Tools (with RFP Template)

The Past, Present, and Future of Data Quality Management: Testing, Monitoring, and Data Observability in 2025

2026 Will Be The Year of Data + AI Observability

What is a Data Mesh — and How Not to Mesh it Up

The Ultimate Guide To Data Lineage

What is Data Observability? 5 Key Pillars To Know

Data Observability

17 Valuable Use Cases for Automated Data Lineage

Learn how today's data teams apply automated lineage to boost productivity, reduce time to incident resolution, and more.

Download

What is Data Quality Assurance? Components, Best Practices, and Tools

Best Data Observability Tools (with RFP Template)

Data Quality Evaluation: A 6-Step Framework Anyone Can Use

Monte Carlo Launches Observability Agents To Accelerate Data + AI Monitoring and Troubleshooting

Crossing The Trust Threshold: When Quality Becomes Imperative in AI

Monitoring Unstructured Data with Monte Carlo

Data Platforms

Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

Top Enterprise Data Catalog Tools

Cheat Sheet: A Data Leader's Guide to Data Metrics

Access the must-have metrics today's data leaders use to measure data quality, platform ROI, team productivity, and more.

Download Your Copy

Just Launched: AI Monitor Recommendations for Proactive Data Quality Management

Monte Carlo Now Available As A Snowflake Native App on Snowflake Marketplace

Top Data Lake Vendors (Quick Reference Guide)

Open Source Business Intelligence Tools

Generative AI

The Top 5 AI Reliability Pitfalls

Are We In An AI Bubble?

RAG vs. CAG: What’s Right for Your AI Strategy?

AI FOMO is Tearing Your Company Apart

Crossing The Trust Threshold: When Quality Becomes Imperative in AI

Monitoring Unstructured Data with Monte Carlo

Data Culture

Databricks Data + AI Summit 2025: Everything You Need to Know

The Ultimate Guide to Data Product Management

Learn how to build, manage, and scale reliable data products in our latest how-to guide, written by and for data product managers.

Download

Everything You Need to Know for Snowflake Summit 2025

Know Before You Go: Gartner Data & Analytics Summit 2025 in London

Gearing Up for Gartner Data & Analytics Summit 2025

Data Quality Engineer: Skills, Salary, & Tools Required

Top 10 Data Engineering & AI Trends for 2025

Data Reliability

AI FOMO is Tearing Your Company Apart

Data Quality Framework Guide: Components to Implementation

2023 Modern Data Leader's Playbook

Stay up-to-date with the latest technologies, trends, and processes shaping modern data management.

Access Today

Information Overload? 5 Data Sustainability Tips for 2025

What is Unstructured Data Quality? And How to Keep the Bar High

4 AI Reliability Challenges for Enterprise Media Companies

Nasdaq’s Journey to Data Reliability with Monte Carlo

Data Discovery

Messy Files and Confused Teams? You Need Product Data Management

Critical Data Elements: What They Are, Why They Matter, How to Identify Yours

The Best Data Dictionary Tools in 2025

Data Lake vs. Delta Lake: What You Need to Know

Data Classification: A Step-by-Step Guide

6 ML Orchestration Tools You Need to Know

Case Studies

Nasdaq’s Journey to Data Reliability with Monte Carlo

How Much Does Bad Data Cost You?

Do you know the cost of data downtime? This guide will help you calculate the cost of bad data for your company.

Download

How Skyscanner Enabled Data & AI Governance with Monte Carlo

How an Enterprise Intelligence Platform Delivered Self-Service Data Trust with Data Observability

How Roche Built Trust in the Data Mesh with Data Observability

On-Demand Delivery Service Drives AI Success by Boosting Data Trust with Alation & Monte Carlo

How WHOOP Built and Launched a Reliable GenAI Chatbot

Announcements

Monte Carlo and Databricks Partner to Deliver Data + AI Observability

Monte Carlo and Snowflake Partner to Provide Observability Into Unstructured Data

Just Launched: AI Monitor Recommendations for Proactive Data Quality Management

Monte Carlo Now Available As A Snowflake Native App on Snowflake Marketplace

Monte Carlo Recognized as the #1 Leader in Data Observability and Data Quality by G2

IMPACT 2024 Keynote Recap: Product Vision, Announcements, And More

Video resources

Data Mesh 101: How Not to Mesh It Up

What is Data Observability – and Do You Need It?

The Top 6 Data Trends in 2023

2023: The state of data quality

Did you know that bad data impacts 31% of a company’s revenue? And that 74% of data engineers say data quality issues are surfaced first by stakeholders? These stats and more in our recent survey with Wakefield Research.

Learn more

3 simple steps for Snowflake cost optimization without getting too crazy.

Snowflake cost optimization efforts need to be right sized. Learn how to get the most savings with investing too much of your team’s time.

Learn more

Data testing vs. data quality monitoring vs. data observability: What's right for your team?

In the fight against bad data and broken pipelines, there are a few popular options. But what makes the most sense for your data quality needs? We’ve got the answers.

Learn more

The Data Downtime Blog

Most recent

When the Model Isn’t the Problem: How Data Gaps Undermine AI Systems

How Model Context Protocol (MCP) Drives Adoption—and Doesn’t.

Why CDAIOs Are Losing Sleep—Top 3 Priorities for 2025

Featured

Best Data Observability Tools (with RFP Template)

The Past, Present, and Future of Data Quality Management: Testing, Monitoring, and Data Observability in 2025

2026 Will Be The Year of Data + AI Observability

Editors picks

What is a Data Mesh — and How Not to Mesh it Up

The Ultimate Guide To Data Lineage

What is Data Observability? 5 Key Pillars To Know

Data Observability

17 Valuable Use Cases for Automated Data Lineage

What is Data Quality Assurance? Components, Best Practices, and Tools

Best Data Observability Tools (with RFP Template)

Data Quality Evaluation: A 6-Step Framework Anyone Can Use

Monte Carlo Launches Observability Agents To Accelerate Data + AI Monitoring and Troubleshooting

Crossing The Trust Threshold: When Quality Becomes Imperative in AI

Monitoring Unstructured Data with Monte Carlo

Data Platforms

Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

Top Enterprise Data Catalog Tools

Cheat Sheet: A Data Leader's Guide to Data Metrics

Just Launched: AI Monitor Recommendations for Proactive Data Quality Management

Monte Carlo Now Available As A Snowflake Native App on Snowflake Marketplace

Top Data Lake Vendors (Quick Reference Guide)

Open Source Business Intelligence Tools

Generative AI

The Top 5 AI Reliability Pitfalls

Are We In An AI Bubble?

RAG vs. CAG: What’s Right for Your AI Strategy?

AI FOMO is Tearing Your Company Apart

Crossing The Trust Threshold: When Quality Becomes Imperative in AI

Monitoring Unstructured Data with Monte Carlo

Data Culture

Databricks Data + AI Summit 2025: Everything You Need to Know

The Ultimate Guide to Data Product Management

Everything You Need to Know for Snowflake Summit 2025

Know Before You Go: Gartner Data & Analytics Summit 2025 in London

Gearing Up for Gartner Data & Analytics Summit 2025

Data Quality Engineer: Skills, Salary, & Tools Required

Top 10 Data Engineering & AI Trends for 2025

Data Reliability

AI FOMO is Tearing Your Company Apart

Data Quality Framework Guide: Components to Implementation

2023 Modern Data Leader's Playbook

Information Overload? 5 Data Sustainability Tips for 2025

What is Unstructured Data Quality? And How to Keep the Bar High

4 AI Reliability Challenges for Enterprise Media Companies

Nasdaq’s Journey to Data Reliability with Monte Carlo

Data Discovery

Messy Files and Confused Teams? You Need Product Data Management

Critical Data Elements: What They Are, Why They Matter, How to Identify Yours

The Best Data Dictionary Tools in 2025

Data Lake vs. Delta Lake: What You Need to Know

Data Classification: A Step-by-Step Guide

6 ML Orchestration Tools You Need to Know

Case Studies

Nasdaq’s Journey to Data Reliability with Monte Carlo

How Much Does Bad Data Cost You?

How Skyscanner Enabled Data & AI Governance with Monte Carlo

How an Enterprise Intelligence Platform Delivered Self-Service Data Trust with Data Observability

How Roche Built Trust in the Data Mesh with Data Observability

On-Demand Delivery Service Drives AI Success by Boosting Data Trust with Alation & Monte Carlo

How WHOOP Built and Launched a Reliable GenAI Chatbot

Announcements

Monte Carlo and Databricks Partner to Deliver Data + AI Observability

Monte Carlo and Snowflake Partner to Provide Observability Into Unstructured Data

Just Launched: AI Monitor Recommendations for Proactive Data Quality Management

Monte Carlo Now Available As A Snowflake Native App on Snowflake Marketplace

Monte Carlo Recognized as the #1 Leader in Data Observability and Data Quality by G2

IMPACT 2024 Keynote Recap: Product Vision, Announcements, And More

Video resources

Data Mesh 101: How Not to Mesh It Up

What is Data Observability – and Do You Need It?

The Top 6 Data Trends in 2023

Related resources

2023: The state of data quality