Tecton
timezone
+00:00 GMT
SIGN IN
  • Home
  • Events
  • Content
  • Help
Sign In
Sign in or Join the community to continue

MLOps Done Right with Centralized Model Performance Management Powered by XAI

Posted Mar 28
# Explainability and Observability
Share
SPEAKER
Krishna Gade
Krishna Gade
Krishna Gade
Co-Founder and CEO @ Fiddler

Krishna is the co-founder and CEO of Fiddler, an Explainable AI Monitoring company that helps address problems regarding bias, fairness and transparency in AI. Prior to founding Fiddler, Gade led the team that built FacebookÕs explainability feature ÔWhy am I seeing this?Õ. HeÕs an entrepreneur with a technical background with experience creating scalable platforms and expertise in converting data into intelligence. Having held senior engineering leadership roles at Facebook, Pinterest, Twitter and Microsoft, heÕs seen the effects that bias has on AI and machine learning decision-making processes, and with Fiddler, his goal is to enable enterprises across the globe solve this problem.

+ Read More

Krishna is the co-founder and CEO of Fiddler, an Explainable AI Monitoring company that helps address problems regarding bias, fairness and transparency in AI. Prior to founding Fiddler, Gade led the team that built FacebookÕs explainability feature ÔWhy am I seeing this?Õ. HeÕs an entrepreneur with a technical background with experience creating scalable platforms and expertise in converting data into intelligence. Having held senior engineering leadership roles at Facebook, Pinterest, Twitter and Microsoft, heÕs seen the effects that bias has on AI and machine learning decision-making processes, and with Fiddler, his goal is to enable enterprises across the globe solve this problem.

+ Read More
SUMMARY

Machine Learning brings success to any business through additional revenue and competitive advantages. But due to its high reliance on data, it is natural for ML models to degrade in performance over time. Whether it be from data drift or integrity, thereÕs a new way to ensure high-quality model performance with a centralized ML Model Performance Management framework powered by Explainable AI. Join us to learn how to maximize your model performance at all times using explainability and continuous model monitoring.

+ Read More

Watch More

1:00
Posted Jun 01 | Views 152
# Data engineering
# Model serving
# Systems and Architecture
10
Posted Mar 28 | Views 129
# Data engineering
# Feature Stores
# Open Source