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Schaun Wheeler

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The NeuralPodThe NeuralPodShaun Wheeler - Agentic Personalization, Building Aampe and Crafting User ExperienceExploring Agentic Systems in AI & Machine Learning with Sean Wheeler, Chief Scientist at AampeIn this in-depth discussion with Schaun, we discuss his unique career path, from cognitive anthropology to leading roles in civil service and ad tech. Sean offers insights into the development of agentic systems for optimizing user experience and the challenges within. Here's what we covered 👇✓ Sean’s career journey: From cognitive anthropology to data science✓ The role of anthropology in data science and decision-making✓ Common themes and challenges in machine learning projects✓ Developing agentic infrastructure for consumer apps✓ Key tech...2025-07-1658 minThe Agentic Edge PodcastThe 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 minThe Agentic Edge PodcastThe 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 minThe Agentic Edge PodcastThe 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 minBanana Data PodcastBanana Data PodcastBuilding accessible queries, codes, and speech using AIAccessibility, by definition, is about making tasks more achievable. In episode 7 of the podcast, Triveni and Will explore how AI is shaping our world to become more accessible, and how we as data scientists can help it get there, diving into Salesforce’s new “unstructured” querying tool, the various physical manifestations of AI, and even questioning some of their previous takes on ethics. They’ll also walk us through the contributions of BERT to the NLP space, and the how and why it’s been so revolutionary. As always, be sure to rate and subscribe! Be sure to c...2019-08-0221 minAdversarial LearningAdversarial LearningEpisode 16: My Code of Ethics Will Forbid YAMLAdversarial Learning is back! In this long-delayed episode (thanks, technical difficulties) we are joined by data scientist Schaun Wheeler to discuss our favorite topic, data ethics. Highlights include: * Schaun's Medium post "An ethical code can’t be about ethics" * Do we need a "Hippocratic Oath" for data science * How to hire data scientists who won't steal people's kidneys * Why Joel has a Values Mug * The Manifesto for Data Practices * Is this all secretly a competency problem? * Skin in the Game * Are data ethics issues really just business et...2018-05-2549 min