Labelbox Accelerate 2022: Iterate better

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The road to powerful, game-changing AI isn’t a straight line — it’s an iterative loop.

Hundreds of organizations have built powerful AI products by improving and accelerating their iteration process. Those who embrace advanced techniques like pre-labeling, data curation, and active learning train their models and realize competitive advantages faster. This virtual event will feature Labelbox customers and AI experts as they share success stories, live demos of transformative solutions, and more.

View agenda

Featured Speakers

Manu Sharma

Labelbox, CEO

Anthony Goldbloom

Founder of Kaggle

Xi Liu

Intuitive, Manager, Machine Learning and Digital Solutions

David Bartram Shaw

Edelman Data & Intelligence, SVP, Global Head of Data Science

Giacomo Vianello

Cape Analytics, Principal Data Scientist

Dr. Ali Arsanjani

Google, Director, Cloud Partner Engineering

Noé Barrell

Deque, Machine Learning Engineer

Ishan Babbar

Nayya, Lead Data Scientist

Curtis Northcutt

Cleanlab, CEO and Co-founder

Nitin Wagh

Databricks, Head of Product Growth, Machine Learning

Dr. Mark Wronkiewicz

NASA, Data Scientist

Stanley Fujimoto

Ancestry, Data Scientist

Robert Coop

Advent Health Partners, Chief Artificial Officer

Agenda (All times are in PST)

8:30AM-8:45AM PST

Kickoff

Speakers: Labelbox

8:45-9:30 AM PST

A fireside chat with Anthony Goldbloom (Founder of Kaggle) and Manu Sharma (CEO of Labelbox)

Speakers: Manu and Anthony

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.

9:30-10:15AM PST

How data quality and collaboration helps ML teams win

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

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.

10:15-11AM PST

How to leverage automation when building AI products

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

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.

11-11:45AM PST

How to improve model performance with active learning and weak supervision

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

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.

11:45AM-12:05PM PST

How to improve your data sets: Recent research from Cleanlab

Speakers: Curtis Northcutt (CEO & co-founder, Cleanlab)

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

12:05PM-12:25PM PST

How to build ML-ready data sets: Recent research from NASA/JPL

Speakers: Mark Wronkiewicz (NASA, Research data scientist)

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.

12:25PM-12:45PM PST

How to leverage your unstructured data for AI with Databricks

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

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.

12:45PM-1:05PM PST

How to optimize your entire ML pipeline with GCP

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

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.

1:05PM-1:50PM PST

What's next for Labelbox?

Speakers: Labelbox Product Team

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.

At this event, you will:

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

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

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

Thank You

Accelerate 2022
Iterate better

Wednesday, Nov 9th 2022 | Virtual event

Register for free

The road to powerful, game-changing AI isn’t a straight line — it’s an iterative loop.

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

Kickoff

A fireside chat with Anthony Goldbloom (Founder of Kaggle) and Manu Sharma (CEO of Labelbox)

How data quality and collaboration helps ML teams win

How to leverage automation when building AI products

How to improve model performance with active learning and weak supervision

How to improve your data sets: Recent research from Cleanlab

How to build ML-ready data sets: Recent research from NASA/JPL

How to leverage your unstructured data for AI with Databricks

How to optimize your entire ML pipeline with GCP

What's next for Labelbox?

At this event, you will:

Thank You

Accelerate 2022 Iterate better

Wednesday, Nov 9th 2022 | Virtual event

Register for free

The road to powerful, game-changing AI isn’t a straight line — it’s an iterative loop.

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