Session: How to Model a Digital Twin of a Market through Agent Based Modelling
I have over 15 years of experience in engineering systems which deploy agent-based modeling for business decisions. I can take a deep dive into the mechanics of key considerations when building an AI-based software, as well as give practical examples of how we have augmented models in real life scenarios. I also envision telling the audience about a case study where we have helped a company form its business strategy using AI and digital twins like when we advised Toyota on the launch of its Mirai vehicle or when we helped Netflix form it's strategy to launch original content to address subscriber churn.
- AI is a proven tool for efficiency in businesses demonstrated by real life use cases
- 2023 will be the year in which businesses will race to adopt AI Analytics to maximize efficiency and minimize costs
- Digital twins can serve as a cost-efficient, lower-error alternative to external consultants
Maya Mateva is a software engineer and co-founder at Scios, having previously worked at the US-based Decision Intelligence company Concentric. In her former role, she was vital for the development of the current platform deployed by Scios, leveraging her expertise in C# and cognitive AI. At Scios, she is spearheading the efforts on platform expansion and is the driving force behind key initiatives like the software’s Goal Optimizer and a Storytelling feature currently in development.
Maya is passionate about creating innovative solutions that solve complex problems and improve the lives of people. In addition to her leadership role at Scios, she is currently pursuing a PhD in Enhanced Software for Aiding Disabilities at the Technical University of Sofia and serves as an advisor for blockchain projects.