 |
AlchemistX: Innovators InsideAuthor: AlchemistX: Innovators Inside, Hosted by Ian Bergman
What is new in Corporate Innovation, and why is it so hard? Join us for a series of interviews with thought leaders, founders, and high achievers inside the world of innovation. Through intimate conversations with Host and Head of AlchemistX, Ian Bergman, we explore what makes innovation so challenging. Guests range from established stars to the most exciting up-and-comers. Innovators Inside is a must-listen for anyone trying to instill a culture of curiosity into a large corporation or organization. Language: en Genres: Business, Entrepreneurship Contact email: Get it Feed URL: Get it iTunes ID: Get it |
Listen Now...
How to Get AI Into Production: Wendy Gonzalez on Data Quality, Human-in-the-Loop Systems, and Trustworthy AI
Episode 10
Tuesday, 31 March, 2026
In this episode, Wendy Gonzalez, CEO of Sama, breaks down why high-quality data, human-in-the-loop systems, and clear evaluation standards are essential for building AI that actually works at scale.Wendy shares how enterprises train, validate, and improve AI models in the real world, from autonomous vehicles to e-commerce recommendations and generative AI. She also explains why dirty data, edge cases, and weak quality standards can quietly kill AI performance, trust, and adoption.You’ll also hear a sharp conversation on responsible AI, model bias, regulation, language inclusion, and why founders and innovation leaders need to define what “good” looks like before shipping AI products.If you are building, buying, or leading AI initiatives, this episode offers practical insight on AI deployment, trustworthy AI, training data, model accuracy, and the human systems behind production-grade machine learning.Key topics🤖 How to get AI into production and keep it there🧠 Why human-in-the-loop systems still matter in modern AI🧹 What dirty data is and how it hurts model performance🎯 Why edge cases define real-world AI success📊 How enterprises think about AI quality, validation, and ROI🚗 Lessons from autonomous vehicles, safety, and model training🛒 How recommendation engines and search relevance depend on better data🌍 Why language, culture, and context matter in AI models⚖️ Responsible AI, regulation, and the tension between policy and speed🔍 How users can think critically and decide when to trust AI outputs👥 How Sama connects AI training work with economic opportunity and impact💼 Leadership lessons on humility, growth, and “firing yourself” as a CEO📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
.jpg)
