This session on Big Data Analytics & Artificial Intelligence is the fourth session in the DACT series on Digital Treasury Innovation.
More and more companies are investing heavily in big data and data science to see how business value can be created. Concepts such as data engineering, pattern recognition, predictive analytics and machine learning are much heard and will be part of common treasury processes in the (near) future. Also, the rise of artificial intelligence has not gone unnoticed. The ability to work and react faster helps Treasuries to become more adaptive to changes which are likely to come more and more in this dynamic time.
During this session, hosted by Orchard Finance, expert speakers will share their insights and experiences. Frans Feldberg, Professor of Data Driven Business Innovation at the Vrije Universiteit Amsterdam will elaborate on the why, what and how of big data, analytics and data driven business model innovation. How has the world changed in the past years and why are companies investing so much in big data and data science?
Stefan van Heukelum, Product Owner Financial Data Analytics at Royal KLM Airlines and Tim de Knegt, Treasurer and Manager Strategic Finance and Treasury at Port of Rotterdam will share their experiences of the successes, failures and learnings of working with big data analytics as an enabler for new or optimized and more data driven business models within Finance and Treasury. During this session Orchard Finance will provide insight in the supplier landscape for big data analytics and AI tooling.
Don’t miss the opportunity to discuss with peers about the importance and possibilities of data analytics for Treasury.