Part 11/12:
Transition towards AI-driven big data pipelines, enabling low-code/no-code solutions.
Centralization of data as a product accessible across organizations.
Distributed architectures like lakehouse designs for scalability and agility.
Use of propensity models to prioritize outreach strategies and recommendations.
Emphasis on hyper-personalization—predicting needs before they are expressed.