Seth Earley, author of The AI-Powered Enterprise, discusses the future of knowledge management.
AI and the Future of Work, Episode 37
Listen and learn:
- Seth’s contribution to AI history… including the term he coined that was co-opted by former IBM CEO Ginni Rometty
- Why all AI is a data (and information architecture) problem
- How the Applied Materials field services team reduced time spent finding information by 50% with knowledge engineering and ontologies
- Why proper information architecture is required for virtual agents to reduce call volume and help live agents
- What has changed since Seth first published his AI book in 2020
- The benefits of semantic search vs. traditional keyword search
- Where to start with a knowledge management strategy
- Why “data scientists spend more time being data janitors”
- How to mitigate the impact of bias in AI training data
References in this episode: