# Build AI, ML and Data Engineering Workflows in 2026 | Temporal

DevFeed: [Build AI, ML and Data Engineering Workflows in 2026 | Temporal](<https://devfeed.tech/articles/build-ai-ml-and-data-engineering-workflows-in-2026-temporal-35703.md>)

Original publisher: [Read original article](<https://temporal.io/blog/ai-ml-and-data-engineering-workflows-with-temporal>)

Author: Joshua Smith

Published: 2024-04-22T04:00:00Z

Content type: article

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [data-engineering](<https://devfeed.tech/topics/data-engineering.md>), [Data pipelines](<https://devfeed.tech/topics/data-pipelines.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [data-engineering](<https://devfeed.tech/tags/data-engineering.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [long-running](<https://devfeed.tech/tags/long-running.md>), [ml](<https://devfeed.tech/tags/ml.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [pipelines](<https://devfeed.tech/tags/pipelines.md>), [recovery](<https://devfeed.tech/tags/recovery.md>), [temporal-concepts](<https://devfeed.tech/tags/temporal-concepts.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

## AI overview

This article explains how Temporal is used to orchestrate AI and machine learning workflows, including end-to-end processes and complex data pipelines. It describes job coordination across GPU resources, failure recovery, retries, and management of long-running tasks, with Descript as an example.

## Source excerpt

Build reliable AI and ML pipelines faster. See how Temporal handles job coordination, failure recovery, and GPU orchestration so your team can do more.