The future of analytics and experimentation
AI has been on the tip of the tongue for a while now, but how will it reshape how experimentation and personalization programs will be running in the future?
This session explores how AI and data warehouse analytics will impact experimentation programs, through scale and business impact.
In this session you will learn how brands are starting to go beyond primary metrics and guardrail metrics as a value driver for their programs and actionable areas in which AI will provide the biggest impact on experimentation.
Mårten Bokedal
Over the past ten years, Mårten has focused on technical platforms that assist companies in enhancing customer experiences in digital channels. As Director of Strategy Solution at Optimizely, he divides his time between developing new products and services and conducting lectures and workshops in digital marketing.
Dejan Dragusin
Dejan Dragusin currently serves as a Technical Product Manager, managing the Experimentation Data Platform and driving innovation in data-driven experimentation. He previously specialized in onboarding customers into experimentation products at Optimizely for 2.5 years.
At PVH, Dejan led the experimentation program for Tommy Hilfiger close to 4 years. His experimentation career began at an agency, ClickValue as a developer, building experiments for various customers for over 4 years.