Carlos Serrano-Morales
Sparkling Logic - Co-Founder & CTO

Carlos Serrano-Morales
Carlos started his career working for major European technology projects as well as at the European Space Agency, focusing on distributed real-time systems and real-time diagnosis software. He later co-founded a startup providing front-office trading systems for the European derivatives financial market.

He joined AI pioneer Neuron Data in its early days, worked on Nexpert Object, expert system leader, and then was at the origin of Blaze Advisor, which helped bring about the BRMS revolution to business applications. He was later responsible for all Decision Management technologies at FICO, including business rules, predictive analytics, optimization and decision analysis, as well as the company’s Enterprise Architecture group.

Carlos is now co-founder and CTO for Sparkling Logic, where he has helped create the next generation award-winning Decision Management platform with SMARTS™.

Carlos holds a number of patents in real-time and decision management systems, and is a frequent speaker at trade conferences.

@casmrv
Automated Decision Management, relying mostly on the concrete application of business rules, predictive modeling and optimization technologies, has established itself as a core component of large business applications. While these applications are largely configured and managed based on the knowledge elicited from experts and data, they also need to take into account the fact that a lot is not known in advance in terms of the outcome of the decisions they make.

This talk will focus on approaches to achieve adaptive decision management, and in particular the corresponding technology and architecture implications.

Adaptive Decision Management complements and extends rules, analytics and optimization approaches with the capability to include feedback from the outcome of decisions into online and offline processes that evolve the configuration of the decisions to account from the lessons learned from the analysis of these outcomes.