The Rise of ML Observability
2021-10-12 08:00 - 17:00 (America/Los_Angeles) | 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

TMLS
2021-11-15 08:00 - 2021-11-16 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

Best Practices in ML Observability for Monitoring, Mitigating and Preventing Fraud
2021-11-18 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

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

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

Platform Demo with Gabe
2022-02-23 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

Drift Happens
2022-04-14 08:00 - 17:00 | Virtual, United States
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, featuring Elizabeth Hutton from Cisco
2022-04-14 13:00 - 13:30 | https://arize.zoom.us/j/82831610497

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 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.

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 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.

Machine Learning Summit in Finance and Insurance
2022-05-10 08:00 - 2022-05-11 17:00 | 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.

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

apply(conf)
2022-05-18 08:00 - 2022-05-19 17:00 | Virtual, United States

Drift Happens featuring Mike Stefferson of Cerebral
2022-05-19 13:00 - 13:30 | https://arize.zoom.us/j/82831610497
Join us Thursday, May 19th, 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 will be joined by Michael Stefferson. Mike has a PhD in Physics the University of Colorado and has been a staff Machine Learning Engineer at Manifold AI for the past several years. Recently, Mike has joined Cerebral as a Staff Machine Learning Engineer.
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.

Drift Happens featuring Chris Murphy of Homepoint
2022-05-26 13:00 - 13:30 | https://arize.zoom.us/j/82831610497
Join us Thursday, May26th, 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 on Drift Happens we are joined by Chris Murphy, Chris is currently working as a Sn Director for Data Scientists at Homepoint, whose mission is to create financially happy, healthy homeowners. Prior to his current role Chris was a Sn Data Scientist at Wayfair and Post-Doc in Physics at Brookhaven National Lab.
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.

Arize:Observe 2022
2022-05-29 08:00 - 17:00 | Virtual, United States

Drift Happens featuring Sid Roy of Devron
2022-06-02 13:00 - 13:30 | https://arize.zoom.us/j/82831610497
Join us Thursday, June 2nd, 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.
Sid Roy is currently working as a Machine Learning Engineering Manager at Devron, a company dedicated to unlocking the innovation and insight of data without compromising privacy. Prior to his current role Sid was an AI Fellow at Insight Data Science and received his PhD in computer science with a focus in machine learning .
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.

MLOps World
2022-06-09 08:00 - 2022-06-10 17:00 | Toronto, Canada, Toronto, Canada

Arize:Observe Unstructured
2022-06-21 08:00 - 17:00 | Virtual, United States

Build trust in models in production with ML observability and performance tracing
2022-06-21 08:00 - 2022-06-28 01:56 | Virtual, United States
Taking a model from research to production is hard — and keeping it there is even harder! As more machine learning models are deployed into production, it is imperative to have tools to monitor, troubleshoot, and explain model decisions. Join Amber Roberts, Machine Learning Engineer at Arize AI, in an overview of Arize AI’s ML Observability platform, enabling ML teams to surface, resolve, and improve model performance issues automatically.
Gain confidence taking your models from research to production with a deep dive into the Arize platform. Attendees will learn how to identify segments where a model is underperforming, troubleshoot and perform root cause analysis, and proactively monitor your model for future degradations.

MLOps Day 2 Summit: Monitor, Observe, Explain
2022-06-23 08:00 - 17:00 | Virtual, United States
So you deployed a model. Now what?
The AI Infrastructure Alliance’s Day 2 Summit gives you the answers you need to keep those models running smoothly.
Hear from the top platforms dedicated to the world of Machine Learning Monitoring, Observability and Explainability

See It In Action: Arize Platform Demo, Live AMA
2022-06-27 08:00 - 17:00

ML Observability Workshop Series
2022-07-12 09:00 - 09:30 | Virtual, United States

Arize X W&B Meetup
2022-07-28 10:00 - 12:00 | Virtual, United States
Join us for the first Arize x W&B virtual event! You’ll learn how to build better/faster models using Weights & Biases and then monitor those models in production with Arize. Building a model and taking it from experimentation to production is hard — and keeping it there is even harder! During this workshop you will build a model to predict customer churn with Weights and Biases, using tools like Hyperparameter Sweeps and Reports to share your findings. Once you’ve built a solid candidate model, Arize is going to show you how to monitor and troubleshoot performance, drift and data quality issues in production. This virtual meetup will also include challenges and prizes, so come learn how to build, deploy, and monitor your models using W&B – the developer-first experiment monitoring tool – and Arize – the industry’s top ML Observability Platform.
