---
title: "Navigating The AI Revolution: The Importance Of Adaptation"
description: "A TDWI survey conducted with MongoDB and Capgemini found that only 11% of companies have AI applications in production, despite widespread recognition of AI’s value. The report identifies data readiness challenges including managing diverse data types, ensuring accessibility, and providing sufficient compute power, with less than half of companies managing newer data formats and only 41% feeling they have enough compute. The post argues that AI applications are dynamic, continuously adapting and learning from user behavior, requiring a flexible data foundation unlike traditional static software. MongoDB positions its modern database solutions as essential, citing examples like Lombard Odier’s modernization with generative AI tooling and Victoria’s Secret’s AI-powered visual search using MongoDB Atlas Vector Search. The post concludes that organizations must modernize their tech stacks and execution to keep pace with AI-driven change, or risk being left behind."
---

# Navigating The AI Revolution: The Importance Of Adaptation

[MongoDB](https://yomu.fyi/company/mongodb) · Jun 4, 2025

**Type:** Problem & solution

## Summary

A TDWI survey conducted with MongoDB and Capgemini found that only 11% of companies have AI applications in production, despite widespread recognition of AI’s value. The report identifies data readiness challenges including managing diverse data types, ensuring accessibility, and providing sufficient compute power, with less than half of companies managing newer data formats and only 41% feeling they have enough compute. The post argues that AI applications are dynamic, continuously adapting and learning from user behavior, requiring a flexible data foundation unlike traditional static software. MongoDB positions its modern database solutions as essential, citing examples like Lombard Odier’s modernization with generative AI tooling and Victoria’s Secret’s AI-powered visual search using MongoDB Atlas Vector Search. The post concludes that organizations must modernize their tech stacks and execution to keep pace with AI-driven change, or risk being left behind.

## Context

A blog post from MongoDB discussing a TDWI survey on AI readiness, highlighting that only 11% of companies have AI apps in production, and emphasizing the need for a flexible data foundation and expert execution to adapt to AI-driven change.

## Takeaways

- Only 11% of survey respondents have AI applications in production, indicating a significant gap between recognizing AI’s value and deploying it.
- Data readiness challenges include managing diverse data types, ensuring accessibility, and providing sufficient compute power; less than half of companies manage newer data formats and only 41% have enough compute.
- AI applications are dynamic and require a flexible data foundation that can handle all data types, respond instantly to new information, and deliver security, resilience, scalability, and performance.

## FAQ

### What percentage of companies have AI apps in production?

Only 11% of survey respondents indicated that they had AI applications in production, despite widespread recognition of AI's potential.

### What are the main data readiness challenges for AI?

The report highlights managing diverse data types, ensuring accessibility, and providing sufficient compute power. Less than half of companies manage newer data formats, and only 41% feel they have enough compute.

### Why is a modern database important for AI?

AI applications are dynamic and continuously adapt, requiring a flexible data foundation that can handle all data types, respond instantly to new information, and deliver security, resilience, scalability, and performance.

**Tags:** [AI](https://yomu.fyi/topic/ai), [Databases](https://yomu.fyi/topic/databases), [MongoDB](https://yomu.fyi/topic/mongodb)

- Source: [MongoDB](https://www.mongodb.com/company/blog/innovation/announcing-a-modernization-toolkit)
- Source URL: https://www.mongodb.com/company/blog/innovation/announcing-a-modernization-toolkit
- Ingested by Yomu: 2026-09-20T08:16:50.170Z

[Read original post](https://www.mongodb.com/company/blog/innovation/announcing-a-modernization-toolkit)