---
title: "Escape the AI Graveyard: Fixing Data and Machine Learning Failures"
url: https://daily.dev/posts/escape-the-ai-graveyard-fixing-data-and-machine-learning-failures-nbfziyldq
source_url: https://www.youtube.com/watch?v=tE7e1w0XARk
type: video:youtube
source: "IBM Technology"
published: 2026-01-13T12:13:51.638Z
updated: 2026-01-13T12:14:09.856Z
tags: ["ai", "machine-learning", "data-science", "project-management", "mlops"]
reading_time: 7
upvotes: 0
comments: 0
language: en
---

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# Escape the AI Graveyard: Fixing Data and Machine Learning Failures

**[IBM Technology](https://daily.dev/sources/ibmtechnology)** · 7 min read · 0 upvotes · 0 comments

## Summary

Most AI projects fail to deliver ROI, with only 25% meeting expectations and 16% scaling enterprise-wide. Three key strategies prevent failure: start with a clear business problem and measurable outcomes rather than technology; secure early stakeholder buy-in by communicating value in terms relevant to each role; and plan for production deployment from day one, including monitoring and model retraining. Models that remain in notebooks without production deployment deliver no real value.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=tE7e1w0XARk>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#project-management](https://daily.dev/tags/project-management), [#mlops](https://daily.dev/tags/mlops)

[View this post on daily.dev](https://daily.dev/posts/escape-the-ai-graveyard-fixing-data-and-machine-learning-failures-nbfziyldq)
