How Customer Success is Shaping the Future of AI, Machine Learning, and Big Data

About the Session

Customer success is at the forefront of transforming how organizations leverage Artificial Intelligence (AI), Machine Learning (ML), and Big Data. No longer just a reactive support function, customer success teams are playing a critical role in shaping the way these advanced technologies are developed and applied to improve customer experiences. In this session, we will explore how customer success teams are integrating AI and ML tools into their workflows to proactively engage customers, predict needs, and optimize the customer experience. By using AI-driven analytics and big data insights, CSMs can identify at-risk customers, personalize interactions, and boost customer retention, all while freeing up time for higher-value tasks. At the same time, customer success managers (CSMs) are contributing valuable insights that directly inform AI and ML models. Their in-depth understanding of customer pain points, behaviors, and feedback helps fine-tune machine learning algorithms, ensuring these models are more aligned with real-world use cases. As a result, AI and Big Data strategies are evolving to become more customer-centric and effective. In this talk, attendees will learn how to harness AI, ML, and Big Data to: • Drive proactive customer success by predicting needs and behaviors before they arise. • Leverage AI-driven tools to improve efficiency, reduce churn, and personalize the customer experience. • Use real-world customer insights to refine AI/ML models and ensure they are aligned with actual customer needs. • Integrate big data into your customer success workflows to drive smarter decisions and deliver measurable outcomes.

Speaker

Mark Mosley

Customer Success & AI