Arize AI

Arize for Fraud Models - Lunch and Learn
2022-05-16 08:00 - 17:00 (America/Los_Angeles) | Virtual, United States

Drift Happens, featuring Yunshi Zhao of Liftoff
2022-05-12 13:00 - 13:30 | https://arize.zoom.us/j/82831610497
Join us Thursday, May 12th, 4pm ET/ 1pm PT for Drift Happens, Arize’s weekly video chat where our host Amber Roberts will discuss ML use cases, best practices in model development and model deployment, as well as troubleshooting models in production with industry’s top MLEs and Data Scientists.
Ceci is a Machine Learning Engineer at Liftoff. Her responsibilities range from researching and training models to deployment. She is also part of the DEI committee at Liftoff, focusing on diversity in engineering. Before transitioning to the startup life, she was aerospace engineer, Ceci is also a pitbull enthusiast!
Join our Slack community to learn from machine learning engineers, data scientists, and AI researchers who are building more effective and responsible AI with ML observability.

Machine Learning Summit in Finance and Insurance
2022-05-10 08:00 - 2022-05-11 17:00 | Virtual, United States

Drift Happens, featuring Justin Chen of Google
2022-05-05 13:00 - 13:30
Join us Thursday, May 5th, 4pm ET/ 1pm PT for Drift Happens, Arize’s weekly video chat where our host Amber Roberts will discuss ML use cases, best practices in model development and model deployment, as well as troubleshooting models in production with industry’s top MLEs and Data Scientists.
This week we are joined by Justin Chen, Justin received his PhD in Physics from Rice University before making the transition to machine learning in industry. Justin has spent the last few years as a Machine Learning Engineer at Manifold building and deploying end to end ML and data pipelines from the ground up. He has recently made the transition to Google where he is currently on the hotword team.
Join our Slack community to learn from machine learning engineers, data scientists, and AI researchers who are building more effective and responsible AI with ML observability.

Voices of ML Leaders
2022-05-04 08:00 - 2022-06-28 17:00 | 785 Market Street, San Francisco, 785 Market Street, San Francisco, CA, United States
When it comes to aligning the data science team with the business, recruiting and retaining talents, and applying the most beneficial AI methodologies, AI leaders set up initiatives and are taking action. During this event, you will have the opportunity to connect and interact with your peers. This includes executives and leaders from Fortune 2000 companies that are already tackling these challenges, and you will discover new perspectives, best practices and actionable tips that will enable you to take your leadership to the next level.

Drift Happens, featuring Sylvia Si-Wei Lu
2022-04-28 13:00 - 13:30 | https://arize.zoom.us/j/82831610497
Join us Thursday April 28th, 4pm ET/ 1pm PT for Drift Happens, Arize’s weekly video chat where our host Amber Roberts will discuss ML use cases, best practices in model development and model deployment, as well as troubleshooting models in production with industry’s top MLEs and Data Scientists.

Sylvia Si-Wei Lu is an academic researcher and J.S.D. candidate at U.C. Berkeley School of Law, where her research interests include artificial intelligence regulation, data governance, data privacy and more. She holds an LL.M from the UC Berkeley School of Law and the National Tsing Hua University, Institute of Law for Science and Technology.

Drift Happens, featuring Jiazhen Zhu of Walmart Global Tech
2022-04-21 08:00 - 17:00 | Virtual, United States
Join us Thursday April 21st, 4pm ET/ 1pm PT for Drift Happens, Arize’s weekly video chat where our host Amber Roberts will discuss ML use cases, best practices in model development and model deployment, as well as troubleshooting models in production with industry’s top MLEs and Data Scientists.
Jiazhen Zhu is a Senior Data Engineer / Machine Learning Engineer, Tech Lead, at Walmart Global Tech. With a responsibilities spanning both data and machine learning engineering, Zhu leads an end-to-end data team at Walmart Global Governance DSI, a diverse group of data engineers and data scientists united in building a better protection platform through data-driven decisions and data-powered products. Before Walmart Global Tech, Zhu held data science and engineering roles at NTT Data and Citi.

Drift Happens, featuring Elizabeth Hutton from Cisco
2022-04-14 13:00 - 13:30 | https://arize.zoom.us/j/82831610497
Join us Thursday April 14th, 4pm ET/ 1pm PT for Drift Happens, Arize’s weekly video chat where our host Amber Roberts will discuss ML use cases, best practices in model development and model deployment, as well as troubleshooting models in production with industry’s top MLEs and Data Scientists.

This week we are joined by Elizabeth Hutton, Machine Learning Engineer at Cisco. Elizabeth has a background in computational math, cognitive science and NLP and is currently responsible for ML experimentation, model development, evaluation, and serving at Cisco. As the lead MLE on the Webex Contact Center AI Team, she is creating the first in-house AI solutions from R&D to production.

Drift Happens
2022-04-14 08:00 - 17:00 | Virtual, United States

Data Council
2022-03-23 08:00 - 2022-03-24 17:00 | Austin, Texas, Austin, TX, United States

Platform Demo with Gabe
2022-02-23 08:00 - 17:00 | Virtual, United States

World AI Conference - Cannes
2022-02-10 08:00 - 2022-02-12 17:00 | Cannes, France & Virtual

See It In Action: Arize Platform Demo, Live Q&A
2022-01-22 08:00 - 17:00 | Virtual, United States

Best Practices for ML Observability in Lending & Insurance
2021-12-08 08:00 - 17:00 | Virtual, United States

Best Practices in ML Observability for Monitoring, Mitigating and Preventing Fraud
2021-11-18 08:00 - 17:00 | Virtual, United States

ODSC West
2021-11-16 08:00 - 2021-11-18 17:00 | San Francisco, CA, San Francisco, CA, United States

TMLS
2021-11-15 08:00 - 2021-11-16 17:00 | Virtual, United States

The Rise of ML Observability
2021-10-12 08:00 - 17:00 | Virtual, United States
On-Demand
Detecting, diagnosing and resolving ML model performance can be difficult for even the most sophisticated ML engineers. Join Arize co-founders Aparna Dhinakaran and Jason Lopatecki as they reflect on the evolution of ML observability since pioneering the space over one year ago and demo the Arize AI platform publicly for the first time.
In this session, we will explore:
The challenges of productionalizing ML
Why an evaluation store is becoming a critical piece of the ML infrastructure stack
The four pillars of ML observability and how to tackle each: drift, performance analysis, data quality and explainability

ML Observability 101: How To Make Your Models Work IRL
2021-09-16 08:00 - 17:00 | Virtual, United States
