ABSTRACT

THE OPPORTUNITIES AND PITFALLS OF AI FOR ASSET MANAGEMENT

AI is omnipresent and hyped across industries. Some expect it to be the solution to all problems - also in asset management. In this session, we investigate the myths and truths of AI-powered Asset Lifecycle Management based on industry use cases and best practices.

BIO

Bostjan Gabrijelcic
Since his first job as an Industry Automation engineer 27 years ago, Bostjan has spent the last 20 years in Enterprise Asset Management over various industries and geographies. Bostjan's inspiration is driven by working with leading client and IBM experts on addressing raising business challenges of changing demographics, aging assets and climate change, while leveraging the latest technologies of Asset Lifecycle Management and Generative AI.

Sven Strassburg
Sven Strassburg is the Sustainability Software Thought Leader and Principal Solution Architect for IBM Sustainability Software, Europe. He has both a production and software engineering background. For the past 21 years he has gained experience in all aspects of process automation, system integration, production optimisation, supply chain optimisation and IOT focused engagements across multiple industry sectors from Financial Service, Manufacturing, Rail, Energy and Utilities through to Automotive. Starting some 10 years ago he became increasingly involved in connecting the physical world to the digital world to address the challenges of sustainability in such diverse and complex operational environments. This is now his full-time focus within the
Sustainability Software division of IBM.