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Research#AI in Business📝 BlogAnalyzed: Dec 29, 2025 07:42

AI for Enterprise Decisioning at Scale with Rob Walker - #573

Published:May 16, 2022 15:36
1 min read
Practical AI

Analysis

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.
Reference

“We explore the distinction between the idea of the next best action and determining it from a recommender system...”

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Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:15

Empathy in AI with Rob Walker - TWiML Talk #248

Published:Apr 5, 2019 18:31
1 min read
Practical AI

Analysis

This article summarizes a podcast episode featuring Rob Walker, VP of Decision Management at Pegasystems. The discussion centers on the crucial role of empathy in AI systems, particularly in consumer-facing interactions. The conversation explores the distinction between empathy and ethics within AI development and provides examples of how empathy should be integrated into enterprise AI systems. The article highlights the importance of considering human-AI interactions and the ethical implications of AI development.

Key Takeaways

Reference

“In our conversation, we dig into the role empathy plays in consumer-facing human-AI interactions, the differences between empathy and ethics, and a few examples of ways empathy should be considered when enterprise AI systems.”

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Research#AI in Customer Experience📝 BlogAnalyzed: Dec 29, 2025 08:25

Omni-Channel Customer Experiences with Vince Jeffs - TWiML Talk #154

Published:Jun 21, 2018 17:25
1 min read
Practical AI

Analysis

This article summarizes a podcast episode featuring Vince Jeffs, a Senior Director at Pegasystems, discussing the future of customer experiences with AI and advanced analytics. The conversation revolves around four technology scenarios from Pegasystems' innovation labs, including connected car experiences, deep learning for diagnostics, dynamic notifications, and optimized marketing. A key discussion point is the balance between hyper-personalization and potential overreach. The article provides links to the show notes and further information about the Pegaworld series, indicating a focus on practical applications of AI in customer-facing technologies.
Reference

“The article doesn't contain a direct quote.”

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Technology#AI in Customer Experience📝 BlogAnalyzed: Dec 29, 2025 08:28

Hyper-Personalizing the Customer Experience w/ AI with Rob Walker - TWiML Talk #127

Published:Apr 12, 2018 23:54
1 min read
Practical AI

Analysis

This article discusses the use of AI and machine learning to hyper-personalize customer experiences. It features an interview with Rob Walker, VP of decision management and analytics at Pegasystems. The conversation covers how enterprises can leverage AI to optimize sales, service, retention, and risk management. Key topics include balancing model performance with transparency, especially concerning regulations like GDPR, and addressing bias and ethical considerations in ML deployment. The article highlights the importance of AI in shaping customer interactions and the challenges of responsible implementation.
Reference

“Rob and I discuss what’s required for enterprises to fully realize the vision of providing a hyper-personalized customer experience, and how machine learning and AI can be used to determine the next best action an organization should take to optimize sales, service, retention, and risk at every step in the customer relationship.”

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