https://github.com/houseofai/adaptto2020-aiworkshop

Digital Asset Management in an AI-First World - Workshop - adaptTo() 2020
https://github.com/houseofai/adaptto2020-aiworkshop

Last synced: 5 days ago
JSON representation

Digital Asset Management in an AI-First World - Workshop - adaptTo() 2020

• Host: GitHub
• URL: https://github.com/houseofai/adaptto2020-aiworkshop
• Owner: houseofai
• License: apache-2.0
• Created: 2020-08-28T15:16:57.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2020-09-29T08:21:05.000Z (about 4 years ago)
• Last Synced: 2023-07-28T08:35:58.204Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 4.36 MB
• Stars: 3
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# adaptTo() 2020 - AI Workshop

#### Europe's leading AEM Developer Conference

-----

## Digital Asset Management in an AI-First World - Workshop

___

Tuesday, 29. September 2020 17:15 - 18:45 (90 min)

Artificial intelligence is redefining fields, including digital asset management (DAM), by automating cumbersome tasks and improving productivity and time to market. AI is generating new, valuable insights for marketers and content managers, helping them optimize  experiences at scale and deliver greater ROI.

Adobe’s content intelligence beta services are now available for  Adobe Experience Manager (AEM), with the creation of a robust extensibility framework which allows the application of AI precisely where it’s needed in the asset workflows. Done right, AI can be transformational — but the key is to get the packaging and features of AI spot-on so that it can best augment the effectiveness of your marketer and customers.

In this workshop, learn about:

- Adobe Sensei AI capabilities in DAM workflows, such as metadata management, search

- Content and Commerce AI Beta services for AEM CS

- Best practices for using AI in DAM

- Data Science in AEM using Python with AEMpy

- Building Data Science Reports using AEM data and Jupyter Notebook

- Project Firefly Intro

**Speakers**

[Santosh Mishra](https://adapt.to/2020/en/conference/speaker.detail.suffix.html/santosh-mishra.html), Adobe

[Odyssée Tremoulis](https://adapt.to/2020/en/conference/speaker.detail.suffix.html/odyssee-tremoulis.html), Adobe