Automating processes within the workflow to improve efficiency & guarantee high quality

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In Partnership with Sama:

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You

200+

Global Participants

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Saul Miller

Director of Product Management

Sama

What to Expect

    1. Interactive Q&A Get all of your questions answered! You can also pre-submit your questions ahead of time
    2. Hear best practices from Sama on ML Assisted Annotation (MAA) powered by MicroModels
    3. Connect with the AI community during and post-webinar on our Slack channel
    4. Complimentary webinar to allow for accessibility to all
    5. Participate from any device so that if you're on the move or at home, you'll be sure not to miss out!
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Automating Data Annotation with MicroModels

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Topics we cover

Enterprise Software

Business Applications

Business Case Studies

Computer Vision

Data Quality

Data Annotation

Data Efficiency

Data Infrastructure

Autonomous Vehicles

Automation

Data Accuracy

Machine Learning

Operational Efficiency

Applied AI

Enterprise Software

Business Applications

Business Case Studies

Computer Vision

Data Quality

Data Annotation

Data Efficiency

Data Infrastructure

Autonomous Vehicles

Automation

Data Accuracy

Machine Learning

Operational Efficiency

Applied AI

Why Join?

Our webinars explore the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. We bring together a mix of academia and industry to share their learnings and insights, offering new perspectives for you to take away, as well as the chance for you to ask your burning questions and continue conversations with the community after the webinar, forming new relationships to solve the unthinkable with AI.

  • Speakers

    Webinar Overview

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    ML Assisted Annotation (MAA) powered by MicroModels are used to generate high quality pre-labeled and human-assisted annotations. Sama will share how their annotaters validate ML generated labels that are constantly improving, instead of annotating from scratch. As a result, their clients predictably get higher quality training data in half the time to bring their models to production faster.

    Industries featured include:

    • Autonomous Vehicles
    • Transportation
    • Retail & Commerce
    • Biotechnology & Pharmaceutical
    • Food & Agriculture
    • Food Security
    • Manufacturing & Robotics
    • Media
    • Technology (Hardware, Software, Devices, Services)
    • Healthcare
  • Discover

    Key Takeaways

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    1. Introduction to MAA powered by MicroModels
    2. Predictably producing 94-98% accuracy
    3. Created 2-4x efficiency improvement for applied classes annotated
    4. Applications in automotive use cases
  • Network

    Who Should Attend?

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    • Director of Engineering
    • CTO
    • Data Scientist
    • Machine Learning Engineer
    • Computer Vision
    • R&D
    • Program & Project Managers
    • Quality Assurance
    • Innovation
    • AI Engineer
    • Product Managers
    • Deep Learning Engineer
    • Computer Vision Engineer
    • Robotics Engineer

Regular Attendees

Ford
volkswagen
Apple
Google
Uber
Toyota
Audi
General Motors
Nissan
renault
Bosch
lyft
Hyundai
huawei
Rolls-Royce Motor Cars
Intel
Microsoft
University of South Carolina
Texas A&M
NVIDIA
Drive Capital
bmw
Fedex - Attending Company

Summary

Jeff Clune, Team Lead at OpenAI

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Presentation

Dawn Song, Professor of Computer Science at UC Berkeley

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Interview

Shalini Ghosh, Director of AI Research at Samsung Research

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Event Organiser/

Nikita Johnson

Founder

Our webinars are all created from scratch and individually curated to share the most up-to-date AI advancements and current global issues for discussion. We look forward to hearing your thoughts, ideas and burning questions!

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Exclusively Sponsored By

Sama21.001
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Automating Data Annotation with MicroModels

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