A clip from our Customer RoundTable where Olay Cirit from Uber Ai discusses his team’s ML Ai challenges at the company.

Some of the ML challenges Olay faced at Uber Ai were helping the company adopt machine learning best practices and having difficulty replacing an XGBoost model with a deep learning model.

You can access the hour long session, for free and on-demand, here:
https://info.comet.ml/roundtable-developing-ml-at-enterprise-scale/

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About the event:

Developing ML at Enterprise Scale: Challenges, Tools, and Surprising Discoveries in 2021

Description:

This virtual roundtable features a wide ranging discussion with ML leaders from Uber AI, The RealReal, and WorkFusion, exploring the past year of their ML work in the enterprise. You will learn about:

* Key challenges faced by enterprise teams and how they are overcoming them
* Helpful tools and approaches for building and deploying ML at scale
* Surprising discoveries that have changed the way enterprise teams build AI

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About Comet (https://www.comet.ml/site):

Comet provides a self-hosted and cloud-based meta machine learning platform allowing data scientists and teams to track, compare, explain and optimize experiments and models.

Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams.

#mlai, #ML, #Ai, #machinelearning

Artificial Intelligence (AI) and Machine Learning (ML) are at the core of IT and business strategy for Digital Enterprises aiming to deliver personalized customer and employee experience, reduce opex, prevent risk materialization and create a resilient and Live Enterprise. Quality assurance of AI systems has been a territory less explored and needs formal and structured approach to ensure systems are robust and safe. In ‘Virtual QA Roundtable: Driving QA in an AI-led world’, hear Dr. Jim Whitehead talk about building a robust and safe digital enterprise in an AI-led world.

Explore the current limitations of artificial intelligence and the possibility of creating human-compatible technology.

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In the coming years, artificial intelligence is probably going to change your life— and likely the entire world. But people have a hard time agreeing on exactly how AI will affect our society. Can we build AI systems that help us fix the world? Or are we doomed to a robotic takeover? Explore the limitations of artificial intelligence and the possibility of creating human-compatible technology.

This video is based on interview excerpts from the Radio Davos Podcast. The episode is called, “The promises and perils of AI – Stuart Russell on Radio Davos”.
Listen to the full episode here: https://www.weforum.org/agenda/2022/01/artificial-intelligence-stuart-russell-radio-davos

Directed by Christoph Sarow, AIM Creative Studios.

This video made possible in collaboration with World Economic Forum
Learn more about how TED-Ed partnerships work: https://bit.ly/TEDEdPartners

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Animator’s website: http://aimcreativestudios.com
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