AI is officially everywhere - and it’s creating dangerous traps for large organizations.
The promise of large-scale AI adoption is beginning to see large-scale failure for organizations that try to build on top of messy, inconsistent, and outdated data processes. AI systems can only deliver trustworthy insights with clean, comparable, automated data. Fixing the problem of “slow, hard AI” implementations means it’s time to clean house on the data going in. Praecipio's Principal Consultant Michiko Quinones will show you how through Atlassian Cloud.
Learning Outcomes:
- Understand the problem of "slow, hard AI" that enterprises are facing.
- Discuss the approach for getting AI to properly read your business data.
- Leverage the small, measurable wins that create value from AI implementations.
