How leading brands, retailers and ecommerce companies can accelerate AI time to value with Labelbox and Google Cloud

Building AI systems to improve merchandising, enhancing customer care, optimizing marketing strategies can be challenging projects with long iteration cycles, costly and time consuming data labeling requirements, and more. With the right architecture and tech stack, however, your team can mitigate these roadblocks and accelerate the path to deployment.

In this webinar, Labelbox Solutions Engineer Robert Wood and Google Cloud Platform Sales Engineer Akash Gupta will share a series of technical demos and reference architectures that leverage powerful foundation models and the seamless integration between Labelbox and Google Cloud to deliver successful AI systems in significantly less time. Join the event to learn how you can:

Establish shorter development cycles for personalized search and recommendation applications with state-of-the art data management and labeling solutions
Lower your dependency on human labeling by automating key processes and leveraging foundation models
Deploy a visual layer on top of your data warehouse, allowing your team to perform weak supervision, similarity search, and bulk labeling tasks
Draw deeper business insights within Google BigQuery and as you engage in multiple data science and machine learning activities across your ML lifecycle

Watch for free now

Rob Wood

Solutions Engineer, Labelbox

Featured Speakers:

Accelerating time to value with AI in Retail and Ecommerce

ML Unboxed: How to diagnose and improve model performance

January 12: 11am PT

January 13: 8am PT/11am ET/4pm GMT

Mark Ghannam

Solutions Engineer, EMEA, Labelbox

Akash Gupta

ISV Sales Engineer, Google

Trusted by leading Fortune 500 enterprises and AI-fueled companies

Trusted by leading startups and Fortune 500 enterprises