Introducing Causal AI: Your Gateway to Making Causal-Driven Business Decisions
Quickly understand why many industry leaders are investing in Causal AI with this curated list of resources. While traditional AI relies on correlations from past data, Causal AI focuses on the cause-and-effect relationships underpinning complex systems. This approach offers not just predictions, but the reasons behind them -- unlocking the ability for business leaders to make superior decisions based on causality rather than mere correlations.
Platform Introduction
Causal AI Articles
Background on what Causal AI is and how it is revolutionizing the way businesses make decisions.
Stanford Social Innovation Review
Lengthy introduction -- discusses the power of Causal AI to understand the direct causes behind events or behaviors, moving beyond the mere prediction of outcomes to understanding the underlying reasons for them. The article showcases how Causal AI has been effectively applied in areas like climate change, public health, and policy decisions, offering more precise and actionable insights than traditional methods. This article will give you a comprehensive introduction to the immense potential of Causal AI -- demonstrating its transformative impact across diverse sectors and insight into why it is superior to predictive analytics in driving effective interventions and helping business make better decisions. Read more
Meta use of Causal Inference to better target Instagram notifications
Summary: Meta employed causal inference in its notification management for Instagram to address a limitation of the traditional click-through rate (CTR) model. While the CTR model effectively predicted a user's likelihood of clicking a notification, it frequently targeted highly active users with daily digest notifications. These active users often viewed content organically without the need for notifications. Causal inference, combined with machine learning, enabled Meta to discern the incremental value of sending versus not sending a notification (the causal impact), ensuring that active users weren't overloaded with redundant alerts, thereby optimizing user experience and conserving resources. Read more
Technical Use Case
How Causal AI can enhance a predictive maintenance use case using a Causal Twin
Summary: Predictive maintenance in manufacturing seeks to leverage causal AI through the creation of a Causal Twin. This approach offers insight into equipment performance's cause-and-effect relationship. Moving beyond the historical data reliance of traditional methods, Causal Digital Twins enhance predictive accuracy, minimize downtime, and optimize maintenance, leading to increased equipment lifespan and overall operational efficiency. Read more
Webinars from Geminos Software
The Future of Data-Driven Decision Making: Introducing Causal Digital Twins
You are introduced to the concept of Causal Digital Twins—a revolutionary method enabling organizations to simulate cause-effect scenarios within their business processes without real-world risks. This session demonstrates the creation and application of Causal Digital Twins, offering techniques to replicate complete business cause-and-effect relationships within the Geminos Causeway platform. You learn how the Geminos software can help to visualize and quantify interventions, and how to quickly deploy these twins with the Geminos low-code platform. This approach empowers businesses to make causal-driven decisions while remaining in control of anticipated outcomes – rather than guessing based on correlations. Watch now
ChatGPT Meets Causal AI - Delivering Smarter Causal AI Solutions with ChatGPT
In this webinar, participants are introduced to the integration of ChatGPT with the Geminos Causeway platform. Owen Frost, Geminos Data Analyst & Platform Expert demonstrates how users can make better data-driven decisions by using causal analysis aided by Generative AI. The session covers the role of ChatGPT in building advanced Causal AI models, the synergy between human experts and ChatGPT in identifying unobserved causal variables, and provides a comprehensive roadmap for a Causal AI development journey. Watch now
Geminos Customer Joins the Webinar -- The Future of AI is Causal - 3 Things You Should Know Now
Leading firms like Uber and Netflix are betting on Causal AI, an approach spotlighted by Gartner for its ability to answer critical "what if" questions. In this webinar, business veteran Al Nugent shared how he is using Causal AI to enhance healthcare outcomes in Ghana, and his choice of Geminos over open-source solutions. Joined by Geminos' CEO Stuart Frost and chief evangelist Judith Hurwitz, attendees gained insights into Causal AI's real-world impact, the power of Geminos Causeway’s visual models to help teams collaborate, and the inclusion of open-source technology within the Causeway software platform. Watch now