Manage the Digital Transformation with Machine Learning in a Reactive Microservices-Based Architectural Approach

Manage the Digital Transformation with Machine Learning in a Reactive Microservices-Based Architectural Approach

Wednesday, March 20
11:00 AM - 11:40 AM
Room 127-128

Digital transformation is undoubtedly the biggest challenge of Dutch telecom operator KPN in the coming years. By adopting new technologies like machine learning into the current operations procedures, companies like KPN will save money by eliminating manual tasks and better manage our telecom infrastructure.

Machine learning is changing the world, is automating processes that the human brain has done in the past, such as recommendations. By combining Bussiness Process Management (BPM) and machine learning together we can take automation to the other level. But how can we integrate machine learning and BPM into a reactive microservices architecture?

In this session, we will discuss an integration pattern for achieving this using technical components like Apache SPARK as a machine learning platform Apache KAFKA as a distributed streaming platform to trigger the external microservices, and (BPM) Bussiness Process Management tooling to manage just the workflow and lets the external microservices do the work.

SPEAKERS

Patrick de Vries
Architect
KPN
Patrick de Vries is an OSS manager (Demand), IT architect with more than 10 years experience in the mobile networks. He has a passion for data management and data warehousing. In this time he successfully led many IT architecture, design and implementation activities for operations readiness, assurance, service quality and business continuity projects. Currently, Patrick works at KPN in the Netherlands at further improvements in servicing both customer experience and operational excellence particularly within the even growing digital/online environment.