| 01 - AI ecosystem and function with ML (Clause 8-8.4).mp4 | 6.3 MB | ||
| 01 - AI ecosystem and function with ML (Clause 8-8.4).srt | 4.1 KB | ||
| 01 - AI system lifecycle overview (Clause 6.1).mp4 | 8.6 MB | ||
| 01 - AI system lifecycle overview (Clause 6.1).srt | 4.8 KB | ||
| 01 - Autonomy, heteronomy, and automation (Clause 5.13).mp4 | 8.3 MB | ||
| 01 - Autonomy, heteronomy, and automation (Clause 5.13).srt | 6 KB | ||
| 01 - Computer vision and image recognition (Clause 9.1).mp4 | 9.8 MB | ||
| 01 - Computer vision and image recognition (Clause 9.1).srt | 6 KB | ||
| 01 - Continue your AI journey.mp4 | 5.1 MB | ||
| 01 - Continue your AI journey.srt | 1.7 KB | ||
| 01 - Overview of AI concepts (Clause 5.1).mp4 | 7.4 MB | ||
| 01 - Overview of AI concepts (Clause 5.1).srt | 5 KB | ||
| 01 - Supervised, unsupervised, and semi-supervised (Clause 5.11-5.11.3).mp4 | 10.9 MB | ||
| 01 - Supervised, unsupervised, and semi-supervised (Clause 5.11-5.11.3).srt | 6.8 KB | ||
| 01 - The benefits of a common AI language.mp4 | 4.1 MB | ||
| 01 - The benefits of a common AI language.srt | 1.3 KB | ||
| 02 - AI engineering (Clause 8.5-8.5.3).mp4 | 5.6 MB | ||
| 02 - AI engineering (Clause 8.5-8.5.3).srt | 4.6 KB | ||
| 02 - Additional training processes (Clause 5.11.4-5.11.8).mp4 | 11 MB | ||
| 02 - Additional training processes (Clause 5.11.4-5.11.8).srt | 8.6 KB | ||
| 02 - Internet of things and CPS (Clause 5.14).mp4 | 12.4 MB | ||
| 02 - Internet of things and CPS (Clause 5.14).srt | 8.1 KB | ||
| 02 - Lifecycle stages and processes (Clause 6.2).mp4 | 15.9 MB | ||
| 02 - Lifecycle stages and processes (Clause 6.2).srt | 9.3 KB | ||
| 02 - Natural language processing (Clause 9.2-9.2.1).mp4 | 6.8 MB | ||
| 02 - Natural language processing (Clause 9.2-9.2.1).srt | 5.6 KB | ||
| 02 - Strong, weak, general, and narrow AI (Clause 5-5.2).mp4 | 8.1 MB | ||
| 02 - Strong, weak, general, and narrow AI (Clause 5-5.2).srt | 4.8 KB | ||
| 03 - AI agents (Clause 5.3).mp4 | 9.6 MB | ||
| 03 - AI agents (Clause 5.3).srt | 7.5 KB | ||
| 03 - AI data, information, knowledge, and learning (Clause 7-7.3).mp4 | 6.3 MB | ||
| 03 - AI data, information, knowledge, and learning (Clause 7-7.3).srt | 5 KB | ||
| 03 - Big data (Clause 8.6-8.6.1).mp4 | 5.9 MB | ||
| 03 - Big data (Clause 8.6-8.6.1).srt | 4.7 KB | ||
| 03 - Data mining and planning (Clause 9.3-9.4).mp4 | 7.9 MB | ||
| 03 - Data mining and planning (Clause 9.3-9.4).srt | 6.8 KB | ||
| 03 - Retraining ML models (Clause 5.11.9).mp4 | 6.9 MB | ||
| 03 - Retraining ML models (Clause 5.11.9).srt | 4.5 KB | ||
| 03 - Trustworthiness, verification, and validation (Clause 5.15-5.16).mp4 | 12.9 MB | ||
| 03 - Trustworthiness, verification, and validation (Clause 5.15-5.16).srt | 9.9 KB | ||
| 04 - AI knowledge (Clause 5.4).mp4 | 5.4 MB | ||
| 04 - AI knowledge (Clause 5.4).srt | 3.9 KB | ||
| 04 - AI predictions to actions (Clause 7.4-7.4.4).mp4 | 6.7 MB | ||
| 04 - AI predictions to actions (Clause 7.4-7.4.4).srt | 4.9 KB | ||
| 04 - Application of AI systems (Clause 10-10.4).mp4 | 10.3 MB | ||
| 04 - Application of AI systems (Clause 10-10.4).srt | 5.8 KB | ||
| 04 - Cloud and edge computing (Clause 8.6.2).mp4 | 7.9 MB | ||
| 04 - Cloud and edge computing (Clause 8.6.2).srt | 5.5 KB | ||
| 04 - Jurisdictional issues and societal impact (Clause 5.17-5.18).mp4 | 5.7 MB | ||
| 04 - Jurisdictional issues and societal impact (Clause 5.17-5.18).srt | 3.8 KB | ||
| 04 - Machine learning algorithms, part one (Clause 5.12-5.12.2).mp4 | 10.3 MB | ||
| 04 - Machine learning algorithms, part one (Clause 5.12-5.12.2).srt | 7.1 KB | ||
| 05 - AI stakeholder roles (Clause 5.19-5.19.7).mp4 | 9.6 MB | ||
| 05 - AI stakeholder roles (Clause 5.19-5.19.7).srt | 7.1 KB | ||
| 05 - Cognitive, semantic, and soft computing (Clause 5.5-5.7).mp4 | 9.7 MB | ||
| 05 - Cognitive, semantic, and soft computing (Clause 5.5-5.7).srt | 6.9 KB | ||
| 05 - Machine learning algorithms, part two (Clause 5.12.1.3-5.12.1.3.2).mp4 | 8.9 MB | ||
| 05 - Machine learning algorithms, part two (Clause 5.12.1.3-5.12.1.3.2).srt | 6.6 KB | ||
| 05 - Resource pools and ASIC (Clause 8.7-8.7.2).mp4 | 5.9 MB | ||
| 05 - Resource pools and ASIC (Clause 8.7-8.7.2).srt | 4 KB | ||
| 06 - Genetic symbolic and subsymbolic algorithms (Clause 5.8-5.9).mp4 | 10.3 MB | ||
| 06 - Genetic symbolic and subsymbolic algorithms (Clause 5.8-5.9).srt | 6.8 KB | ||
| 06 - Machine learning algorithms, part three (Clause 5.12.1.4 – 5.12.2).mp4 | 9.8 MB | ||
| 06 - Machine learning algorithms, part three (Clause 5.12.1.4 – 5.12.2).srt | 6.6 KB | ||
| 07 - Data (Clause 5.10).mp4 | 9.8 MB | ||
| 07 - Data (Clause 5.10).srt | 6.8 KB | ||
| 07 - Machine learning algorithms, part four (Clause 5.12.3 – 5.12.4).mp4 | 15.8 MB | ||
| 07 - Machine learning algorithms, part four (Clause 5.12.3 – 5.12.4).srt | 10.5 KB | ||
| AdditionalResources.pdf | 27.2 KB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 71 total files | |||
Understanding Artificial Intelligence Concepts and Terminology with ISO/IEC 22989:2022
https://WebToolTip.com
Released 02/2025
With Lyron Andrews
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 2h 17m 4s | Size: 296 MB
Learn how the concepts and terminology of ISO/IEC 22989 aid your organization to establish common objectives and goals for AI use or production and maintain strategic alignment.
Course details
As the use cases and implementation of AI tools continue growing, there are risks of misinterpreting intent and purpose across an organization. Having an aligned understanding of strategies and objectives related to AI first begins with establishing a common organizational taxonomy. In this course, instructor Lyron Andrews shows you how the standard language of ISO/IEC 22989 concepts and terminology can establish a common language for AI within your organization. Lyron also nstrates how this document can be used to develop other standards and support communications among diverse interested parties or stakeholders.
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