AI for Enterprise Decisioning at Scale with Rob Walker - #573
Research#AI in Business📝 Blog|Analyzed: Dec 29, 2025 07:42•
Published: May 16, 2022 15:36
•1 min read
•Practical AIAnalysis
This podcast episode from Practical AI features Rob Walker, VP of decisioning & analytics at Pegasystems, discussing the application of AI and ML in customer engagement and decision-making. The conversation covers the "next best" problem, differentiating between next best action and recommender systems, the interplay of machine learning and heuristics, scaling model evaluation, responsible AI challenges, and a preview of the PegaWorld conference. The episode provides insights into practical applications of AI in a business context, focusing on real-world problems and solutions.
Key Takeaways
- •Focus on AI and ML applications in customer engagement and decisioning.
- •Discussion of the "next best" problem and its solutions.
- •Exploration of responsible AI challenges and model scaling.
Reference / Citation
View Original"We explore the distinction between the idea of the next best action and determining it from a recommender system..."