Accelerate 2022

Wednesday, Nov 9th 2022 | Virtual event

 Accelerate 2022 <br/> Iterate better

Hear how organizations across different industries are configuring their ML Ops teams, designing workflows and gathering data on what’s working

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Network with other AI industry leaders both in-person and virtually

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Meet the Labelbox team and get an in-depth look at what’s coming next

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Manu Sharma

Anthony Goldbloom

Manager, Machine Learning and Digital Solutions

Xi Liu

David Bartram Shaw

Giaocomo Vianello

Giacomo Vianello

Noe Barrell 2

Dr. Ali Arsanjani

Noé Barrell

Ishan Babbar

Noe Barrell 1

Curtis Northcutt

Nitin Wagh

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Dr. Mark Wronkiewicz

Noe Barrell 3 (2)

Stanley Fujimoto

Noe Barrell 3 (3)

Robert Coop

8:30AM-8:45AM PST

Anthony and Manu will be covering a wide range of topics, including Anthony’s key learnings from building leading data science and machine learning community Kaggle, what makes a good data scientist, where he sees the future of ML, as well as the importance of iterating on data and finding great datasets for building transformative products. 

8:45-9:30 AM PST

As more ML teams shift their focus from iterating on models to improving the quality of their training data, quality assurance and better collaboration is becoming a central pillar of their larger MLOps strategy. Creating, managing, and maintaining an efficient labeling pipeline that produces high-quality training data is an underestimated challenge. Learn how leading AI teams can improve their labeling operations to deliver accurate and scalable training data by emphasizing better collaboration, transparency and communication.

Xi Liu (Intuitive, Manager, Machine Learning and Digital Solutions), Stanley Fujimoto (Ancestry, Senior Data Scientist)

9:30-10:15AM PST

Learn how enterprises are dramatically reducing labeling time using the latest in automation, from AI-assisted annotation tools to model-assisted labeling. See what workflows can help you increase labeling velocity, whether you’re actively iterating on production models or are just getting started on your AI journey. Teams using automation have saved 50-70% on annotation costs and can significantly improve overall project efficiency.

Ishan Babbar (Nayya, Lead Data Scientist), Giacomo Vianello (Cape Analytics, Principal Data Scientist)

10:15-11AM PST

Data science has evolved past the traditional method of iterating on models with a single large training dataset. Today, leading ML teams extend their focus to carefully selecting their training data, training their model, examining its performance, and modifying the next training dataset accordingly. In this session, learn how ML teams are utilizing the latest advances in active learning and weak supervision, both of which are vital to data-centric ML.

David Bartram Shaw (Edelman, SVP Global Head of Data Science), Noé Barrell (Deque, ML lead), Robert Coop (Advent Health Partners, Chief AI Officer)

11-11:45AM PST

Discover how Cleanlab is automating data correction and building reliable data-centric ML tools.

Curtis Northcutt (CEO & co-founder, Cleanlab)

11:45AM-12:05PM PST

Learn about the latest research from NASA/JPL on how they are leveraging Labelbox to build ML-ready datasets for planetary research to identify martian frost.

Mark Wronkiewicz (NASA, Research data scientist)

12:05PM-12:25PM PST

See real-life success stories of ML teams saving time and greatly improving the accuracy of model training by creating and managing training data, collaboration, and processes in a single place, as well as integrating with Databricks — so they can focus on building AI-powered products.

Nitin Wagh (Databricks, Head of Product Growth, Machine Learning)

12:25PM-12:45PM PST

Discover how leveraging GCP with Labelbox makes it easier than ever for anyone to build ML models, from ML engineers and data scientists to non-technical roles such as analysts, marketers, and more.

Dr. Ali Arsanjani (Google, Director, Cloud Partner Engineering)

12:45PM-1:05PM PST

Learn what 2023 and beyond has in store for the Labelbox data engine as we showcase the latest advances for Labelbox Annotate, active learning and weak supervision, and the developer experience. 

Thank You

Accelerate 2022
Iterate better

Wednesday, Nov 9th 2022 | Virtual event

Featured Speakers

Manu Sharma

Anthony Goldbloom

Xi Liu

David Bartram Shaw

Giacomo Vianello

Dr. Ali Arsanjani

Noé Barrell

Ishan Babbar

Curtis Northcutt

Nitin Wagh

Dr. Mark Wronkiewicz

Stanley Fujimoto

Robert Coop

At this event, you will:

Thank You

Accelerate 2022 Iterate better

Wednesday, Nov 9th 2022 | Virtual event

Featured Speakers

Manu Sharma

Anthony Goldbloom

Xi Liu

David Bartram Shaw

Giacomo Vianello

Dr. Ali Arsanjani

Noé Barrell

Ishan Babbar

Curtis Northcutt

Nitin Wagh

Dr. Mark Wronkiewicz

Stanley Fujimoto

Robert Coop

At this event, you will:

Accelerate 2022
Iterate better