Production Embeddings for Business Critical Predictive & Generative AI

Embeddings-condensed, rich representations of unstructured data-have revolutionized predictive and generative AI. However, productionizing these embeddings for critical business AI systems at scale is complex.
In this webinar, we’ll show how embeddings can significantly enhance AI applications, enabling more accurate predictions and dynamic generative models. We'll tackle the main challenges of deploying embeddings effectively and offer insights on overcoming these hurdles. Join us to discover how to elevate your AI projects with this powerful technique. Here’s a preview of what we’ll cover:
-Embeddings, explained: Gain a clear understanding of embeddings as a means to transform unstructured data into dynamic inputs that enhance the accuracy and depth of predictive and generative AI models.
-Navigating technical challenges: Explore strategies to overcome key hurdles in scaling embeddings for production, including model selection and data pipeline management.
-Expert experiences: Learn how industry leaders have transitioned from prototype to production-ready embeddings, propelling their business-critical applications to new heights.
-Tecton's new capabilities: Discover how Tecton's latest capabilities enable you to leverage embeddings in business-critical applications.