Discover the next major trend in AI

Find mixture of Knowledge AI & Data AI (Causal AI) to power agents

Discover the next major trend in AI.

Watch this webinar on demand now!

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

Agenda

Meet the speakers

Sumit Pal

Sumit Pal

Strategic Technology Director at Graphwise (Former VP Gartner Analyst)

Todd Blaschka

Todd Blaschka

Chief Strategy Advisor at Graphwise (Former Tigergraph - CCO and CRO)

Jonathan Doan

Jonathan Doan

Head of Sales at Parabole.ai

Rajib Saha

Rajib Saha

Co-Founder and CEO at Parabole.ai

Aditya Narayanamoorthy

Aditya Narayanamoorthy

Senior Solutions Architect

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