iMerit ML DataOps Summit 2022

3000+ data scientists, engineers and ML professionals joined virtually at the ML DataOps Summit to hear from 30+ senior leaders at the forefront of deploying data operations to power machine learning and AI.

 

2022 iMerit ML DataOps

Watch AI and ML senior leaders that spoke at the iMerit ML DataOps Summit in November 2022.

Attendees gained insights on commercializing AI with data intelligence, ML DataOps readiness for enterprise AI, solving edge cases in production AI and the latest trends happening in the ML DataOps landscape. The event brought together AI and ML leaders, data scientists, and engineers from a variety of industries including autonomous mobility, medical AI, and technology.

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Join The Journey: ML DataOps for Advancing AI

iMerit CEO, Radha Basu welcomes all attendees to join her on the journey to explore the machine learning data operations landscape.
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Pushing the Frontiers in AI For Billions Around the World

Meta AI’s Manohar Paluri shares a framework for pushing the frontiers in AI research, while advancing technology that is impactful to the product end game.

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The Stakes Are High: Best Practices For Deploying Responsible AI

In this session, Seth Dobrin, IBM’s Former Chief AI Officer shares insights into the best practices for deploying artificial intelligence responsibly.
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Overcoming the Obstacles of Achieving High-Quality Data

Learn about the 6 obstacles holding companies back from achieving high-quality data and the innovative solutions needed to overcome them.
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Convergence of ML Ops and Data Pipelines

Leadership from Capital One, DoorDash, and Overstock, share how they are transforming their data pipelines to improve ML throughput.
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Role of Automation in ML DataOps

Danny Lange, SVP of AI and ML at Unity reveals the role automation plays in machine learning data operations today, and in the foreseeable future.
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Navigating Data Tooling and Expertise To Achieve High-Quality AI Training Data

Data tooling experts unveil what makes enterprise-grade worthy tools and what lies ahead in the data tooling ecosystem.
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It’s a Duo: Human-in-the-Loop and High-Quality Data Are Catalysts in ML and AI

Experts from Glassdoor & Salesforce discuss why human-in-the-loop and high-quality data go hand-in-hand to achieve widespread production of AI applications.
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Why Solving Data Edge Cases is Key to Accelerating AI

Learn from machine learning experts how to identify and solve data edge cases in order to maximize AI performance and achieve widespread adoption.
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Mastering Anomaly Detection and Test Case Generation in ML

Zoox and Embark Trucks unveil the challenges and opportunities of identifying data anomalies and generating test cases to optimize machine learning.
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Unforeseen Challenges and Opportunities in Commercializing AI

Shutterstock, AMP Robotics and Infinitus Systems executives share how they overcame the obstacles that enabled widespread adoption of their AI applications.
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Current and Future State of ML DataOps Landscape

Seed stage and growth stage venture capitalists share their perspectives on the current and future state of the machine learning data operations landscape.
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The Journey Wraps: ML DataOp Summit Key Takeaways

iMerit CEO, Radha Basu wraps up the summit by sharing key takeaways that attendees can use as tools to move forward in deploying their enterprise AI application.

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