From 7329d3886297c65e13d49281aff838b3ecbd0a0f Mon Sep 17 00:00:00 2001
From: David <119470903+PubliusAu@users.noreply.github.com>
Date: Tue, 6 Dec 2022 16:31:01 -0600
Subject: [PATCH] Update company name/link

For those that want to learn more
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 122a3f2..75a8933 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@
 A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
 
  * [Aporia](https://www.aporia.com/): Observability with customized monitoring and explainability for ML models.
- * [Arize](https://github.com/Arize-ai/client_python): An end-to-end ML observability and model monitoring platform.
+ * [Arize AI](https://www.arize.com/): An end-to-end ML observability and model monitoring platform.
  * [Datatile](https://github.com/polyaxon/datatile): A library for managing, summarizing, and visualizing data.
  * [DataProfiler](https://github.com/capitalone/DataProfiler): A Python library designed to make data analysis, monitoring and sensitive data detection easy.
  * [Deepchecks](https://github.com/deepchecks/deepchecks): Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.