00:00 Data Umbrella introduction
03:25 Pablo begins presentation, overview
04:18 Internet Archive (IA) context + brief history lesson
05:09 The IA for data scientists (data source, data + code storage use cases)
07:14 IA organizational structure
08:43 IA history, continued
09:25 In numbers / metrics
10:38 Core Infrastructure Engineering (including PHP migration from 7 to 8)
11:38 Site reliability
12:18 Wayback Machine (WBM) context
13:25 Open Library project for book metadata
15:00 Digitization Centers / Centres (microfiche scanning)
15:31 Partner organizations and more information
16:10 More about Pablo, additional commentary
17:22 Q&A
19:19 Using IA through the website
19:52 User navigation: Creating an account via GUI, uploading materials, beginning derivatives
23:39 Derivatives (processing over uploaded files) and what is included
26:57 Collections
27:44 Patron Services
29:07 Why Pablo is taking a break from artificial intelligence (AI)
31:22 Using the IA through the Python ia tool (pip install, pause for Q&A or comment check)
33:11 ia tool S3-like access
33:58 Understanding the Archive APIs
34:14 Search API
35:33 Metadata API
36:42 Tasks API
38:02 Internet Archive and Crawlers
40:23 Changes API
40:49 Book pitch
41:29 Contributing to the Internet Archive (using it, volunteering)
42:28 Copyright reform (joining the Electronic Frontier Foundation)
43:29 Donating (https://archive.org/donate)
43:55 Keeping in touch with Pablo
44:05 Q&A: Curation-related
46:51 Q&A: Overlap between IA and Zenodo
47:43 Visual pause begin to reduce possibility of network issues; Wayback Machine disc., continued (end-of-term archiving)
49:22 Q&A: Additional IA details, website translation thoughts
52:30 Blog availability
53:02 Visual pause, continued
53:30 Book pitch, notebooks (GB)
55:17 Q&A: Kaggle, librarians
56:39 Wrap-up
