Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Discover opportunities for applied AI
Organizations that successfully apply AI innovate and compete more effectively. How is AI transforming your business?
Be a part of the program—apply to speak by October 16.
Maja Vukovic

Maja Vukovic
Research Manager, IBM

Website

Maja Vukovic is a Research Manager and a Research Staff Member at IBM T.J. Watson Research Center. Maja’s research expertise is in IT service innovation, AI planning, crowdsourcing technologies, API ecosystems innovation and social media applications for disaster management. Maja leads Cognitive Service Management team, with focus on AI driven insights and automation in hybrid cloud systems.

Maja has received numerous IBM Outstanding Technical Achievement Awards and IBM Research awards for her technical leadership. Maja is an IBM Master Inventor, with over 160 patents filed and 50 granted. Maja is an author of over 90 papers in top international conferences and journals. Maja is a co-founder of a number of workshops: Enterprise Crowdsourcing, Ubiquitous Crowdsourcing and Social Web for Disaster Management, collocated with leading international conferences.

Maja received her PhD from University of Cambridge, UK, for her work on context aware service composition using AI planning. Maja received her MSc from International University in Germany, and her BSc from University of Auckland, New Zealand. Prior to IBM, Maja was a Research Scientist at MercedesBenz Research and Technology Center in Palo Alto, working in the field of telematic services.

Maja is a Member of IBM Academy of Technology.

Maja is a Senior Member of Institute of Electrical and Electronics Engineers (IEEE).

Maja is a IEEE TCSVC Award Winner: Women in Services Computing 2018.

Sessions

4:55pm5:35pm Thursday, April 18, 2019
Machine Learning, Models and Methods
Location: Grand Ballroom West
Secondary topics:  AI in the Enterprise, Models and Methods
Maja Vukovic (IBM)
Existing AI driven automation in enterprises employ ML, NLP and chatbots. There is additional opportunity for AI Planning to drive reasoning about action trajectories to help build automation. I will demo application of AI planning for migration of legacy infrastructure to Cloud, based on real world examples and data, and discusses challenges in adopting AI planning solutions in the enterprise. Read more.