Dr Adam Makarucha
Dr Adam Makarucha is a data scientist within the IBM Systems Team where he is developing deep learning use cases and demonstrations for clients on IBM's PowerAI platform. He recently completed his postdoctorate at IBM Research Australia, working within the Cognitive Analytics team on deep learning applications for the Financial Services industry. He has worked on machine and deep learning since joining IBM in 2015, primarily focused on natural language processing as well as risk and compliance.
Adam completed his PhD in Applied Physics at RMIT University in 2015 and has more than 8 years experience in using and setting up High Performance Computing environments. His current focus is on the intersection of deep learning and Kubernetes, and in particular how these two technologies can be used to create real outcomes from big data.
Taking AI to production
IBM Summit was recently officially announced as the world’s most powerful super computer. At 122 petaflops it provides unprecedented performance, which is largely due to its extensive use of GPUs and unique technology linking CPU and GPU. GPU technology has been driving revolutionary research in molecular modelling, fluid dynamics and space research, but most front of mind is in AI.
Almost every company is trying to use machine learning (ML) somewhere in their business, but how do you take the models developed with ML and put them into production using a repeatable and scalable process?
In this talk Adam will discuss how using cloud native technologies can enable you to build a lifecycle around ML model development, deployment and ongoing monitoring.
Register to see Adam's presentation on December 6th, 2018 here.