Leveraging Artificial Intelligence and Machine Learning Techniques to Build a Customer Insights Engine
Capitalize on a wealth of opportunities to improve customer acquisition, value and retention
Walk away realizing: -The key components of a customer insights engine -Where to start and how to prioritize customer value initiatives - a step by step approach -The challenges and best practices between Data, Technology and People
The webinar aims to provide key insights, step-by-step methodology and a hands-on example of how to create a customer insights engine. Consolidating increasingly varied and granular customer data and leveraging AI / ML techniques is creating a wealth of opportunities to improve customer acquisition, value and retention.
Walk away realizing:
- The key components of a customer insights engine
- Where to start and how to prioritize customer value initiatives - a step by step approach
- The challenges and best practices between Data, Technology and People
This webinar is anchored as real-life examples and will provide a comprehensive view of how organizations can improve customer value - from ideation to deploying use cases and insights into the company’s processes.
We will discuss use cases, best practices, as well as the concrete methodology to develop and deploy a 360 customer view and maximize its impact on the company’s performance.
Presenters:
Vincent De Stoecklin
AI Success Director, APAC
Dataiku
Vincent started his career in consulting, leading digital transformation projects for larger multinational companies. In 2013 he specialized in Big Data and Data Analytics, before joining Dataiku in 2015 where he started building the partner ecosystem and participated in early business development efforts across European markets. For the past 3 years, he has been focusing on helping Dataiku customers accelerate their data-driven transformation through the implementation of high-value AI use cases, specifically in the FSI and CPG industries.
