At a recent meeting focused on AI and Automation for Customer Engagement, we had the opportunity to explore how the Predictive Customer Engagement model has evolved over the years, and how we might apply it to the emerging artificial intelligence landscape.
One topic we covered was a way to understand the structure of an AI implementation, including:
-a data repository, where data gets collected and accessed,
-machine learning techniques, where we apply these technologies,
-capabilities, where we analyze what we learn from applying AI,
-and visualizations, where we communicate what we’ve learned.
This brief video explains a little more.
