Agenda
December 2nd
2022: ‘The Year of ML DataOps’ – The Ground Truth of AI
iMerit Founder and CEO Radha Basu will share why machine learning data operations plays a critical role in bringing artificial intelligence to market at scale and unveils why 2022 is shaping up to be the ‘Year of ML DataOps.’
Emerging AI Companies Are Driving A Paradigm Shift in ML
Leadership from Cruise and Facebook AI discuss the emergence of AI native companies and the paradigm shift being driven by advances in ML and robotics. Just as web transformed business, then the emergence of mobile and cloud, autonomous technologies are redefining the companies building products that simply cannot exist without AI.
iMerit Unveils: Reporting, Analytics and Insights for Scaling your ML Data Pipeline
iMerit’s VP of Product, Glen Ford shares the challenges companies face when moving from proof-of-concept to production ready ML deployments. During this phase workflows within the data pipeline can quickly move from cumbersome to unmanageable. With a single point of management for reporting, analytics and insights you can scale your ML data pipeline more efficiently and effectively, allowing you to reach your goals faster.
Scaling your data pipeline for rapid deployment
Hear from experts SambaNova Systems and Raven Applied Technology as they share how companies are scaling their data pipeline to meet the ever-changing data requirements needed to rapidly deploy AI applications, from proof of concept to full production.
Building A Tooling Strategy with Humans-in-the-Loop
The machine learning journey requires strategic tooling to achieve high quality data and enable large scale production. Hear from natural language processing and computer vision experts as they uncover how to build scalable data labeling pipelines with humans-in-the-loop.
iMerit Unveils: AI Data Solutions for Solving Edge Cases with Greater Precision
Edge Cases are a major challenge for ML models and if addressed successfully they become the greatest area of competitive differentiation in your AI. In this quick session iMerit’s VP of Engineering Sudeep George, shares a solution to solve edge cases by creating proprietary data sets with greater precision, turning them into massive opportunities for companies and their AI.
How AI, ML and Motion Planning Testing Are Advancing New Mobility
Leading MIT and CMU professors will share how AI and ML are creating new breakthroughs in autonomous transportation. Attendees will learn the latest research and testing in motion planning behaviors that will enable autonomous mobility companies to safely and efficiently deploy autonomous vehicles at scale.
Solving Edge Cases: The Path To Accelerating AI
Discussion of why solving edge cases is critical to the success of artificial intelligence. Hear from Nuro and Zoox industry experts as they share what it takes to solve edge cases to achieve full scale deployment of autonomous mobility across the world.
Path to Growth for Creating a Complete AI Data Solution
In this brief session Brett Hallinan, Director of Marketing for iMerit, will recap the key learnings from the Summit thus far and discuss the path successful companies take in building their ML DataOps pipeline for the future.
The Future of Healthcare AI Depends on Data
Artificial intelligence is transforming healthcare across clinical use-cases like radiology and robotic surgery, as well as many other operational applications. Access to high quality data is one of the key components driving technological innovation in healthcare. Join healthcare AI experts as they share why high quality data is vital to the success of their AI initiatives today.
Bringing Complex Conversational AI to Production in RPA
Robotic processing automation (RPA) is a game-changer for enterprises looking to streamline customer service, create new operational efficiencies and realize cost savings. Hear from Infinitus CEO as he shares how RPA is taking complex conversational AI to new heights.
NLP is Transforming the Capabilities of AI
Gain insights from natural language processing experts at Target, The Floor and Colby College as they share how NLP-powered technologies are transforming artificial intelligence. Learn how NLP, search, voice and content are creating new complexities in the machine learning process, and why high quality data paired with humans-in-the-loop are key to success.
Alternate Reality: Creating a New Metaverse with Data
The augmented or virtual metaverse is expected to reach $454B by 2030. Whether it’s a consumer or B2B alternate reality, the companies quickest to solve the complexities in the ML DataOps landscape may lead the way. Join these AR/VR computer vision experts as they explore how to overcome the data operations challenges that will propel alternate reality into a new metaverse.
iMerit Unveils: The First-Ever End-to-End AI Data Solutions Platform
Companies today face the challenge of piecing together an ML data pipeline solution that allows them to create the high quality data needed for their ML, while accomplishing it in a scalable, cost efficient and timely manner. iMerit unveils the first end-to-end AI data solution platform that ensures you receive the structured proprietary data you need to advance your AI.
Fireside Chat with Former U.S. Chief Data Scientist DJ Patil
Join former U.S. chief data scientist DJ Patil and iMerit CEO Radha Basu as they discuss what’s needed from data science for artificial intelligence to advance and potentially achieve human-like intelligence in the future. These industry veterans will explore the complex relationship between technology and humans; what’s needed for humans and AI to work together to bring new opportunities to market that will truly have a societal impact.
State of the Industry: Exploring the AI and ML DataOps Market
Discussion with Gartner’s Sumit Agarwal, Bessemer Venture Partners Ethan Kurzweil and iMerit’s CRO Jeff Mills as they take a deep dive into the current and future state of the artificial intelligence and machine learning data operations market.
AI Data Solutions: Key Elements of Successful ML DataOps
iMerit CEO Radha Basu will explain the key elements for creating a successful ML data pipeline and why 2022 is shaping up to be the ‘Year of ML DataOps. Companies that integrate humans-in-the-loop strategies, utilize high quality data to solve edge cases and leverage the AI data solutions ecosystem will be the ones successful in taking AI to market.
