Discover the next major trend in AI
Find mixture of Knowledge AI & Data AI (Causal AI) to power agents
Learn about techniques that make AI models robust, explainable, and fair while making accurate predictions based on causes rather than correlation with examples & use cases from industry.
Learn from experts to unravel the intricate web of cause-and-effect relationships that govern business operations, leverage enterprise knowledge to simulate “what-if” scenarios, and deliver optimal decision-making with agents.
Identify nuanced patterns, anomalies, and automation opportunities for operational efficiency to identify bottlenecks and constraints and enhance end-to-end business KPI visibility, improving enterprise decision control.
What You Will Learn
The webinar covers real-life scenarios/problems solved from 2-3 domains – spending 5-7 min on each.
- Problems with traditional AI
- Why Knowledge and Data AI – Causal AI is needed to solve traditional AI challenges
- Demo use cases with Causal AI – Asset performance monitoring for the industrial sector
- ROI / benefits of the approach