We met in the late 90’s as graduate students of computer science in the department for machine learning. Hewlett Packard R&D was looking for expertise within the fields of artificial intelligence and machine learning and the BATS project (Bayesian Automated Troubleshooting System) was born based on the idea that it should be possible to capture expert troubleshooting knowledge in a structured form and make it available to everyone everywhere.
We researched and patented several innovations in Bayesian networks, allowing the commercialization of Bayesian networks in a software solution for causal AI-powered, efficient guided troubleshooting and diagnostics. These inventions broke previous barriers, making it possible to capture knowledge using causes, probabilities, time, and cost.
In 2001 it was time to turn our primary research into a commercial product and make the technology we had created generally available.
So, after much preparation and a lot of coffee, we spun off from Hewlett Packard, creating an independent business operated by people passionate about causal AI, troubleshooting, and knowledge management.
We call it Dezide.
20 years of experience rolling out Causal-AI-powered efficient troubleshooting software to leading service organizations.
We work together to establish the process of harnessing explicit and tacit expertise to create dynamic troubleshooting guides.