Observe 2023 - Arize AI

ML Observability Meets The Year of Generative

The third annual Arize:Observe is the first conference dedicated solely to ML observability in the year of generative AI. Thanks to all our speakers and guests for making the industry’s most-attended event on modern model monitoring and performance management possible.

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2023 IS IN THE BOOK

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70+

Speakers
50+

Sessions
5000+

Attendees

VIDEOS

TOP SESSIONS FROM ARIZE:Observe 2023

Keynote - The New Wave of ML - How Generative AI Has Forever Changed ML

Arize:Observe 2023 Keynote: The New Wave of ML – LLMOps

MLops in Enterprises_ A Holistic Perspective for a Successful AI Strategy

MLOps in Enterprises – A Holistic Perspective for a Successful AI Strategy With Lamia Youseff

Datasaur Demo_ Label Data with Premiere Quality and Productivity

Data Labeling: Common Pitfalls and How To Fix Them with Datasaur

Why You Need To Understand These Five Papers Reshaping AI's Future

Why You Need To Understand These Five Papers Reshaping AI’s Future

Running AI at scale in hybrid cloud_ an interactive example

Running AI at Scale In Hybrid Cloud: An Interactive Example with UbiOps

Train, Serve, Fine-Tune, Repeat_ The Future of the ML Lifecycle

Train, Serve, Fine Tune, Repeat – The Future of the ML Lifecycle with Anyscale, Tecton and Others

Strategies for Successful MLOps Adoption

Strategies for Successful MLOps Adoption with Doordash Machine Learning

Responsible AI_ Tooling and Techniques

Responsible AI – Tooling and Techniques with Google’s Andrew Zaldivar

ML Observability Made Easy - A Beginner's Guide to Monitoring Your Models

ML Observability Made Easy – A Beginner’s Guide to Monitoring Your Models

Integrating LangChain and Arize - Monitoring & fine tuning flows for your LLM agent

LangChain: LLM Agent and Monitoring Workflow Tutorial

Improving Support for Deep Learning in Etsy’s Machine Learning Platform

Improving Support for Deep Learning in Etsy’s Machine Learning Platform

A Practical Perspective on Using LLMs

Using LLMs with Hugging Face: the Necessity of In-Context Learning

How To Be a More Effective Data Scientist

How To Become a (Better) Data Scientist

Empowering the engineer_ a conversation with OpenAI about chatGPT and its implications

OpenAI’s Boris Power On Empowering the Engineer and the Implications of ChatGPT

Embeddings at Spotify's Scale_ How Hard Could It Be_

Embeddings at Spotify’s Scale – How Hard Could It Be? Building Modern Recommendation Systems

Cracking the ML Interview_ Tips and Tricks for your Next Role in Tech

Data Science Interview Questions – Tips and Tricks To Land a Role in Tech

Arize Phoenix OSS - ML Observability in a Notebook

Arize Phoenix OSS – ML Observability in a Notebook

Evaluating Models Traditional ML _and LLMs_

Evaluate a Model: Traditional Machine Learning and LLMs with Sumble’s Anthony Goldbloom

Advanced ML Observability - Uplevel Your ML Models with Arize

Advanced ML Observability – Uplevel Your ML Models with Arize

A Framework for Data Storytelling

A Framework for Data Storytelling with Shopify’s Wendy Foster

Building a Generative AI Company - Jasper’s Journey

Jasper AI’s Journey Building a Generative AI Company

Practical Insights on Maximizing your job search

Practical Insights On Maximizing Your Job Search and Finding Entry Level Tech Jobs

Building real time inference pipelines with Ray Serve

Ray Serve – Tutorial for Building Real Time Inference Pipelines

How to generate continuous AI ROI

How To Generate Continuous AI ROI

Future of Agents with Harrison Chase, Founder of LangChain

Arize:Observe – Future of Agents with Harrison Chase, Founder of LangChain

Optimizing through Automation_ End to end data quality checks and model deployment

Optimizing Through Automation End to End Data Quality Checks and Model Deployment Featuring Spectrum Labs

MLOps Evolution in a Fast-Growing Enterprise

Arize: Observe – MLOps Evolution in a Fast Growing Enterprise

Build Reliable High-Performing Models with BentoML's Model Serving Framework

BentoML On Building Reliable High Performing Model Applications

MLOps Workflows and Best Practices on Google Cloud Platform with Scotiabank’s Hoda Abokhadra

Introducing Phoenix_ ML Observability in Your Notebook

Arize:Observe – Introducing Phoenix – ML Observability in Your Notebook

AI in transportation_ building and maintaining models at all scales

AI in Transportation – Building and Maintaining Models At All Scales with Archer and Seafar

MLOps Build vs. Buy_ Understanding Tradeoffs and ROI

MLOps Software Build vs. Buy – Understanding Tradeoffs and ROI

How enterprises are realizing value with Generative AI

How Enterprises Are Realizing Value with Generative AI Featuring IBM’s Shobit Varshney

Tecton Workshop_ Building Production-Ready batch, Streaming, and Real-Time ML Features in Jupyter Notebooks

Arize:Observe – Tecton Workshop – Building Production Ready batch, Streaming, and… in Jupyter Notebook

How to build & deploy custom, enterprise-grade LLM apps

Scale AI On How to Build and Deploy Custom, Enterprise Grade Large Language Model Apps

How LlamaIndex Brings your Data to LLM's

How LlamaIndex Brings your Data to LLMs

Generative AI Startups_ New Opportunities, Unique Challenges, and Big Visions

Generative AI Founders Panel Featuring Cerebrium, Rosebud AI, Lavender AI, Synativ

Prompt Engineering in the Real World

PromptLayer for Prompt Engineering in the Real World

Training Billions of Parameters LLMs

Training Billions of Parameter LLMs with MosaicML

The Most Desired and Competive Skills for MLEs in 2023

The Most Desired and Competitive Skills for Machine Learning Engineering in 2023

Supercharging Data Science Directly In Your Data Warehouse

Supercharging Data Science Directly In Your Data Warehouse with Ponder

Surface Insights and Discover Issues - Understand UMAP and HDBScan

Understanding UMAP and HDBScan: Surface Insights and Discover Issues

Bioengineering & Generative AI_ Considerations in Research and Clinical Use Cases

Generative AI In BioEngineering: Research and Clinical Use Cases Featuring PathAI, MIT, Google

Got embeddings_ Discover the key to building AI applications that scale

Embeddings: Discover the Key To Building AI Applications That Scale with Zilliz, Creator of Milvus

How to Test and Monitor Your LLM Integrations

Voiceflow: How to Test and Monitor LLM Integrations

Intro to Relative Representations Intro to Relative Representations_

Intro to Relative Representations with NVIDIA’s Luca Moschella

Improving Deep Learning Model Robustness for Improved Performance Over Time

Deci AI – Improving Deep Learning Model Robustness for Better Performance Over Time

Custom Performance Metrics For Classification Models

Custom Performance Metrics For Classification Models with Flipp’s Josh Straynor

Reliable Machine Learning_ A Conversation with the Authors of the O’Reilly Book

Reliable Machine Learning: A Conversation with the Authors of the O’Reilly Book

Empowering Your Narrative_ Leveraging Self-Value and Negotiation Tactics

Empowering Your Narrative: Leveraging Self Value and Job Negotiation Tactics

IN CASE YOU MISSED IT

Launched at arize:OBSERVE 2023

ML Observability in a Notebook

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Arize: Self-Guided LLMOps Course

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SPEAKERS FROM

Industry Leaders

2023 SPEAKERS

Boris Power
Applied Research Manager,
Open AI
Rajiv Shah
ML Solutions Engineer,
Hugging Face
Hanlin Tang
CTO and Co-Founder,
Mosaic ML
Jerry Liu
Co-Founder & CEO,
Llamaindex
Anthony Goldbloom
CEO, Co-Founder,
Sumble
Robert Nishihara
Co-Founder and CEO,
Anyscale
Lukas Biewald
Co-Founder and CEO,
Weights & Biases
Ivan Lee
CEO, Founder,
Datasaur
Mike del Balso
CEO & Co-Founder,
Tecton
Doris Lee
CEO & Co-Founder,
Ponder
Frank Liu
ML Architect,
Zilliz
Shobhit Varshney
VP & Sr. Partner, Americas AI
Analytics Lead, IBM
Chip Huyen
Co-Founder,
Claypot AI
Korri Jones
MLOps Principal Program Lead, Chick-fil-A
Wendy Foster
Director, Engineering and Data, Shopify
Kyle Gallatin
Senior Software Engineer, ML, Etsy
Hien Luu
Head of ML Platform,
DoorDash
Lamia Youseff
Director of Engineering,
Stanford
Andrew Zaldivar
Senior Developer Relations Engineer, Google Research
Manu Sharma
CEO and Co-Founder,
Labelbox
Ian Anderson
Staff Machine Learning Engineer, Spotify
David Rokeach
VP of Enterprise AI,
Scale AI
Bihan Jiang
Product Manager of Spellbook, Scale AI
Jared Zoneraich
Founder, PromptLayer
Nina Lopatina
Director of Data Science, Spectrum Labs
Lisha Li
Founder & CEO, Rosebud AI
Lou Kratz
Principal Research Engineer, Bazaarvoice
Brian Burns
Founder, AI Pub
Laszlo Sragner
Founder, Hypergolic
Alexey Grigorev
Founder, DataTalks Club
Nina Lopetina
Director, Data Science, Spectrum Labs
Yonatan Geifman
CEO & Co-Founder, Deci
Hoda Abokhadra
Analytics DevOps Engineer, Scotiabank
Yuanbo Wang
Principle ML Engineer, Spectrum Labs
Jonathan Bruce
Senior Operations Coordinator, Datasaur
Melissa Runfeldt
Founding Data Scientist, CueIn
Jared Zoneraich
Founder, PromptLayer
Anna Danes
AI Ethics Expert,
Ethical Intelligence
Michael Louis
Co-Founder, CEO,
Cerebrium
Laszlo Sragner
Founder, Hypergolic
Anouk Dutree
Product Owner, UbiOps
Chris Labbe
Team Lead ML & AI, Vivun
Denys Linkov
ML Lead, Voiceflow
Andrea Parker
Machine learning engineer, Weights & Biases
Osvald Nitski
Strategic Product Manager for Generative AI, Scale AI
Niall Murphy
CEO, Stanza
Cathy Chen
Lead Program Manager, Google
Kamil Kaczmarek
Technical Training Lead, Anyscale
Jennifer Riggins
Tech Culture Journalist
The News Stack
Todd Underwood
Sr. Director Capital Engineering, Google
Josh Staynor
Data Engineer, Flipp
Olivia Gambelin
Founder & AI Ethicist,
Ethical Intelligence
Rob Miles
Senior Engineering Manager, Etsy
Frank Liu
Director of Operations & ML Architect, Zilliz

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