This engaging 25-minute presentation explores the far-reaching implications of Artificial Intelligence (AI) and Machine Learning (ML) in modern data and experience management. It addresses a spectrum of topics, including Product Information Management (PIM), Master Data Management (MDM), Digital Asset Management (DAM), Customer Data Platforms (CDP), Digital Experience Platforms (DXP), E-Commerce, and Digital Marketing. The talk encapsulates the most recent trends in AI/ML and data/experience management, with a focus on practical strategies to make data management more efficient and experience management more successful. Attendees will gain insights into the innovative ways AI/ML can be leveraged to enhance their business operations and customer experiences.

-         In the realm of data management, we delve into the transformational power of AI/ML technologies. With the advent of AI/ML, PIM systems have evolved to incorporate machine learning algorithms for data cleansing, enrichment, and classification. AI's application in MDM provides an improved ability to handle vast volumes of data and ensure data quality. In the case of DAM, AI/ML expedites the process of content discovery and retrieval, whereas in CDP, it allows for more refined customer segmentation and personalized customer interactions.

-         Turning to experience management, we discuss the critical role of AI/ML in enhancing the DXP, E-Commerce, and Digital Marketing sectors. AI/ML-driven DXPs provide personalized experiences to users, taking into account their unique preferences and behaviours. In the E-Commerce sector, AI/ML facilitates personalized product recommendations, customer service automation, and predictive analytics for inventory management. In Digital Marketing, AI/ML's capabilities are harnessed for programmatic advertising, content curation, customer journey mapping, and campaign optimization.