Published: 14 March 2018
Summary
Enterprises conflate AI training and learning. By putting both in the hands of vendors, they create dangerous lock-in. By delineating training and learning, data and analytics leaders can shape training capabilities as a strategy to train commodity AI platforms and tools that learn.
Included in Full Research
- Moving Beyond Tactical Siloed Deployments for AI Is a Major Challenge
- Pockets of Intelligence Rather Than Collective Intelligence
- Organizations Block Their Ability to Train Through Poor Mining and Exploitation of Data
- View AI Efforts Through Two Lenses — Training and Learning
- Platform-Independent Training and Test Data Curation Is Within Reach for Most Enterprises
- Conclusion
- Implement the Concept by Developing AI Data Skills and Using Middleware to Connect Training to Learning
- Training Is a Process Involving Both Technology and People
- A New Breed of a Problem-Solving Team — From Data Science to Cognitive Science