Wednesday July 9th, 2025
10am PT / 1pm ET / 6pm UK
Netflix, McKinsey and Meta aren’t keeping it a secret – some of their most important decisions are increasingly being powered by Causal AI. These companies, along with many others, have invested in Causal AI to overcome one of AI’s most persistent challenges: understanding why something happens.
Causal AI brings cause-and-effect reasoning to your AI strategy, helping teams identify the true drivers behind outcomes—not just patterns and correlations. The result? Smarter, more reliable decisions that teams can act on with confidence.
Until recently, Causal AI was complex and difficult for most companies to deploy better decision-making at scale. That is no longer the case.
What you’ll learn:
- The value of Causal AI: Why understanding cause and effect outperforms traditional AI for making data-driven decisions.
- How to deploy Causal AI at enterprise scale—without the complexity: Practical approaches to getting started with existing data and teams.
- Why a Causal Knowledge Graph brings true value to LLMs: Unlock smarter, more consistent generative AI initiatives that result in true business value
- How to get started today: How you can quickly see results from a Causal AI project.
If you're responsible for reliability, operations, or digital transformation in industrial environments — this session is for you.
#CausalAI, #DigitalTransformation, #EnterpriseAI, #AIForDecisionMaking
#CausalKnowledgeGraph, #IndustrialAI, #GenerativeAI
