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.”
- 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
About the speakers
Joseph Busch is Founder & Principal at Taxonomy Strategies. He is a knowledge leader in metadata frameworks and taxonomy strategies for global 2000 companies, government agencies, and NGO’s. He was a Senior Principal at Project Performance Corporation (PPC), and a principal of the start-up company Metacode that was sold to the content management company Interwoven in 2001. Interwoven is now owned by Autonomy.
Mr. Busch is an authority in the field of information science, a Past President of the American Society for Information Science and Technology, and a former member of the Board of Directors of the Dublin Core Metadata Initiative. He is a frequent speaker on metadata, taxonomy, semantic technologies, indexing, classification research, information retrieval and other information management topics.