iMerit ML DataOps Summit 2021

2500+ AL and ML enthusiasts attended the iMerit ML DataOps Summit on December 2021 to learn about the critical role machine learning data operations play in bringing AI to market at scale.

Watch AI and ML senior leaders who spoke at the iMerit ML DataOps Summit in December 2021

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2022: ‘The Year of ML DataOps’ – The Ground Truth of AI

iMerit CEO Radha Basu shares how machine learning data operations are vital to scaling AI and unveils why 2022 is shaping up to be the ‘Year of ML DataOps.’
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Emerging AI Companies Are Driving A Paradigm Shift in ML

Leadership from Cruise and Facebook AI discuss the emergence of AI companies and the paradigm shift from AI and autonomous technologies.
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iMerit Unveils: Reporting, Analytics and Insights for Scaling your ML Data Pipeline

Learn how to improve the scalability of your ML data pipeline through reporting, analytics and insights, allowing you to stay focused on your end-goals.
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Scaling your data pipeline for rapid deployment

Learn how companies are scaling their data pipeline to meet the ever-changing data requirements needed to rapidly deploy AI applications.
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Building A Tooling Strategy with Humans-in-the-Loop

Natural language processing and computer vision tool providers uncover how to build scalable data labeling pipelines with humans-in-the-loop.
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iMerit Unveils: AI Data Solutions for Solving Edge Cases with Greater Precision

Learn how to solve edge cases by creating proprietary data sets, turning them from challenges to competitive differentiation in your AI.
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How AI, ML and Motion Planning Testing Are Advancing New Mobility

Leading academics uncover AI and ML breakthroughs in autonomous mobility and discuss research and testing in motion planning behaviors.
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Solving Edge Cases: The Path To Accelerating AI

Nuro and Zoox experts share what it takes to solve edge cases to achieve full-scale deployment of autonomous mobility worldwide.
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Path to Growth for Creating a Complete AI Data Solution

Recap the summit’s key learnings revealed and explore the path many companies take in building their ML DataOps pipeline for the future.
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The Future of Healthcare AI Depends on Data

Healthcare AI experts discuss the innovations of AI and why high quality data is vital to the success of their AI initiatives today.

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Bringing Complex Conversational AI to Production with RPA

Hear from Infinitus CEO as he shares how robotic processing automation (RPA) is taking complex conversational AI to new heights.
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NLP is Transforming the Capabilities of AI

Gain insights from natural language processing experts on how NLP-powered technologies are transforming artificial intelligence.
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Alternate Reality: Creating a New Metaverse with Data

AR/VR computer vision experts examine how to overcome the ML DataOps challenges that will propel alternate reality into a new metaverse.
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iMerit Unveils: The First-Ever End-to-End AI Data Solutions Platform

iMerit unveils an end-to-end AI data solution platform that ensures you receive the structured proprietary data you need to advance your AI.
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Fireside Chat with Former U.S. Chief Data Scientist DJ Patil

Join former U.S. chief data scientist DJ Patil to learn what’s needed for humans and AI to work together to bring new opportunities to market.
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State of the Industry: Exploring the AI and ML DataOps Market

Hear industry experts share the current and future state of the artificial intelligence and machine learning data operations market.

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AI Data Solutions: Key Elements of Successful ML DataOps

Gain insights on the three key elements that companies must adopt in their ML DataOps landscape to successfully deploy AI applications.