From Black Box to Glass Box: Observability for Scalable AI Systems

From Black Box to Glass Box: Observability for Scalable AI Systems

Discover how observability transforms AI systems from black boxes to glass boxes, ensuring scalability, transparency, and reliability.

By Data Science Connect

Date and time

Wednesday, August 13 · 11am - 12pm PDT

Location

Online

About this event

  • Event lasts 1 hour

As AI systems continue to scale, observability has become an essential component for success. This webinar explores two key dimensions: data observability, which focuses on monitoring and improving the quality of data that drives AI systems, and AI observability, which provides transparency and accountability for model performance and decision-making. 

Learn practical strategies for building "glass box" AI systems where insights are clear, issues are easy to diagnose, and scalability is seamless.


YOU'LL LEARN


1️⃣ Understand Data Observability: Learn how to implement monitoring systems to ensure high-quality, reliable data pipelines for AI systems.
2️⃣ Explore AI Observability: Discover tools and techniques for monitoring AI models, ensuring they are transparent, unbiased, and explainable.
3️⃣Bridge the Gap: Integrate data and AI observability practices to achieve robust, scalable, and trustworthy AI deployments.

Panelists to be announced soon

REGISTER HERE

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Organized by

Data Science Connect

And we believe that this connectedness empowers us to use data science for a higher purpose that reaches beyond traditional networking.

By joining forces and connecting Atlanta's diverse and progressive collection of

  • corporations
  • people
  • universities
  • civic initiatives
  • disciplines + resources

We are more equipped to use data science to tackle the greater challenges, drive breakthrough results and realize a higher potential across our lives, work and society.

Data Science Connect (DSC) is the largest data science organization in the southeastern United States, and one of the most attended in the world.

Free