Shows
The Agentic Edge PodcastYour CMS is a gold mine: time to digSchaun Wheeler and Arpit Choudhury talk about Content Management Systems (CMS) and how they are a treasury of information that can be leveraged for hyper-personalization. They explore how generative AI is transforming CMS, the importance of data quality, and the potential of LLMs in enhancing user experiences. The discussion also covers the challenges of implementing AI in recommendation systems, the significance of integrating external data, and the future of personalization in various applications, including food delivery and travel.KEY POINTS* CMSs are often seen as repositories of content to present on webpages but they can...2024-10-2342 min
The Agentic Edge PodcastGet comfortable with Decision AutomationPaul Meinshausen and Schaun Wheeler talk about the key components behind decision-making and what goes into automating it in this discussion hosted by Arpit Choudhury. They emphasize that successful decision automation includes understanding the nuances of decision repeatability, outcome evaluation, user preferences, and business constraints. They discuss the importance of designing systems that can learn effectively from user interactions, the limitations of current approaches, and the ongoing need for human input to provide crucial context.KEY POINTS: 1. Decisions can be broken down into three components:* The decision set (options of the decision)2024-10-0737 min
The Agentic Edge PodcastYou can't Google your way to a recommender systemSchaun Wheeler and DJ Rich delve into the intricacies of building recommender systems in this podcast hosted by Arpit Choudhury. The discussion highlights the steps to developing a recommender system, practical advice for startups, and the evolving landscape of recommender technologies. KEY POINTS: * Identify the Problem: Recommender systems address the "discovery problem" by helping users sift through vast amounts of options to find relevant content quickly. Recognizing this problem is crucial before diving into solutions.* System Components: Recommender systems are complex and involve multiple components such as:* Item Inventory: Detailed metadata ab...2024-09-0229 min