AI vs. Automation: The Current State of Automated Content Tagging: Dangers and Opportunities
If you’re interested in the latest approaches that help to reduce labor-intensive tagging and content structuring for today’s expansive digital experiences, this workshop will arm you with an informed perspective.
Some technologies like IBM Watson are being touted as artificial intelligence (AI). In response, there are many new AI offerings provided by large software companies as well as start-ups. But is this AI or automation? This workshop reviews the difference and demonstrates how many AI solutions use natural language processing, entity extraction, and complex Boolean queries rather than actual AI. Additionally, we will explore how machine learning operates in much the same way as crowdsourcing and whether it is susceptible to “the tyranny of the mob.”
Takeaways
- Understand important aspects of artificial intelligence
- Learn how automated tagging works
- Become familiar with the leading automated tagging tools
- Learn how to evaluate automated tagging tools
- Review the pitfalls and benefits of automated tagging tools in practice