iMerit ML DataOps Summit
December 2, 2021
Speakers
Radha Basu
Founder and CEOiMerit
DJ Patil
Former U.S Chief Data ScientistWhite House Office of Science and Technology Policy
Ragavan Srinivasan
Head of ProductFacebook AI
Hussein Mehanna
Head of Artificial Intelligence and Machine LearningCruise
Amanda Stent
Colby College DirectorDavis Institute for AI and Professor, Computer Science
Jinhua Zhao
Edward and Joyce Linde Associate Professor of City and Transportation PlanningMIT
Kriti Gupta
Data EngineerThe Floor
Eldar Khaliullin
Principal Engineer, Data ToolsMagic Leap
Jeff Mills
President and Chief of Revenue OperationsiMerit Technology
Ethan Kurzweil
PartnerBessemer Venture Partners
Ankit Jain
Founder & CEOInfinitus Systems
Jack Xiaojiang Guo
Head of Autonomy PlatformNuro
Huma Zaidi
Director of Search, Browse and VoiceTarget
John Dolan
Principal Systems Scientist CMU Robotics Institute and CMU Argo AI Center for AV Research FacultyCarnegie Mellon University
Daniel Chow, MD, MBA
Co-Director, Center for Artificial Intelligence in Diagnostic Medicine, Radiological SciencesUniversity of California, Irvine
Bobby Anderson
Clinical Insights Leader for GE Point of Care UltrasoundGE Healthcare
Brett Hallinan
Director of MarketingiMerit
Chris Barker
Founder and CEOCBC Transportation Consulting
Eran Shlomo
Co-Founder and CEODataloop
Georg Poier
Lead DeveloperReactive Reality
Glen Ford
VP ProductiMerit
Ivan Lee
CEO and FounderDatasaur
Jai Natarajan
Vice President, Strategic Business DevelopmentiMerit
Kai Wang
Director of PredictionZoox
Karthik Paga
Senior Research EngineerRaven Applied Technology
Keith Fieldhouse
Director of Cyber-Physical SystemsKitware
Naqi Khan, MD, MS
Principal Program Manager, Health AIMicrosoft Health & Life Sciences
Prabhdeep Singh
VP of Software ProductsSambaNova Systems
Sina Bari, MD
Director of Medical AIiMerit
Sudeep George
Vice President, EngineeringiMerit
Sumit Agarwal
Sr Director AnalystGartner
Teresa O'Neill
Principal Language and Data ArchitectOpenCity
Radha Basu is the founder and CEO of iMerit, a global data annotation company delivering high-quality data that powers machine learning and artificial intelligence applications for Fortune 500 companies. Under Radha’s leadership, iMerit employs an inclusive workforce of more than 5,500 people worldwide, with 80% from underserved communities and 54% are women. Radha led iMerit through two funding rounds, raising $23.5 million to date from investors and led the company to reach new revenue heights. Previously, Radha was the SupportSoft Chairwoman and CEO. She spent 20 years at Hewlett Packard, where she grew HP’s electronic software division into a $1.2 billion business and launched HP in India. Radha has received accolades including the Global Thinkers Forum Award, UN Women-ITU Gender-Equality Mainstreaming Technology Award, Silicon Valley Business Journal Women of Influence Award, Top 25 Women of the Web and CEO of the Year. She serves on the boards of NetHope, Jhumki Basu Foundation and the Miller Center for Social Entrepreneurship. Radha founded the SCU’s Frugal Innovation Hub and co-founded the Anudip Foundation.
Radha's Sessions
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.’
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.
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.
DJ Patil was the Chief Data Scientist at White House Office of Science and Technology Policy. Previously, he worked as the VP of Product at [RelateIQ](/organization/relateiq) and [Greylock Partners](/organization/greylock) as Chief Data Scientist, [Color Labs](/organization/color-labs) as Chief Product Officer, [LinkedIn](/organization/linkedin) as Chief Scientist and Chief Security Officer, and [eBay](/organization/ebay) as their Director of Strategy, Analytics, and Product. Prior to that he focused on National Security issues on Counter Terrorism and Bioweapons Proliferation Prevention. In the academic community he is best known for his work in numerical weather prediction.
DJ's Sessions
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.
Ragavan's Sessions
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.
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.
Hussein Mehanna is the Head of Artificial Intelligence and Machine Learning at Cruise. He is an expert in AI with a passion for machine learning. He has over 15 years of experience and has successfully built and led AI teams at multiple Fortune 500 companies. Prior to Cruise, Hussein led the Cloud AI Platform organization at Google. Under his leadership, his team revamped the product line and rebuilt the organization. Cloud AI Platform became Cloud AI’s fastest growing product segment. Before Google, Hussein worked at Facebook where he co-founded the Applied Machine Learning group that combined applied research in machine learning and advanced platforms. He helped democratize artificial intelligence with more than 2000 engineers using the technologies, and his team added billions of dollars of revenue. Hussein has a Masters in Computer Speech, Text and Internet Technology from the University of Cambridge and a Bachelors of Science in Computer Science from Ain Shams University.
Hussein's Sessions
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.
Dr. Amanda Stent is inaugural director of the Davis Institute for AI and professor of computer science at Colby College. Previously she held positions as the NLP Architect in the Chief Technology Office at Bloomberg, Director of Research and Principal Research Scientist at Yahoo, as Principal Member of Technical Staff at AT&T Labs — Research, and as associate professor in the Computer Science Department at Stony Brook University in Stony Brook, NY. She has authored or co-authored over 100 papers on natural language processing and is co-inventor on over 30 patents.
Amanda's Sessions
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.
Jinhua Zhao is the Edward and Joyce Linde Associate Professor of City and Transportation Planning at the Massachusetts Institute of Technology (MIT). Prof. Zhao brings behavioral science and transportation technology together to shape travel behavior, design mobility system and reform urban policies. He develops methods to sense, predict, nudge and regulate travel behavior, and designs multimodal mobility system that integrates autonomous vehicles, shared mobility and public transport. He sees transportation as a language to describe a person, characterize a city, and understand an institution. Prof. Zhao directs the JTL Urban Mobility Lab and the Transit Lab at MIT and leads long-term research collaborations between MIT and major transportation authorities and operators worldwide including London, Chicago, and Hong Kong. Prof. Zhao has founded and directs the MIT Mobility Initiative.
Jinhua's Sessions
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.
Kriti Gupta is a Data Engineer at The Floor, an Israeli startup. She graduated from HKUST in 2020 with a major in Industrial Engineering and Financial Engineering. With multiple internship experiences in the data space with established banks, she ultimately decided to pivot and build her future in the startup space. At The Floor, Kriti is currently overseeing the data strategy where she is working on researching and designing new strategic data points and exploring the use of AI and ML for automating data workflows. Kriti has a passion for travel and food and is looking forward to being able to travel again post-pandemic.
Kriti's Sessions
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.
Eldar has a Ph.D in Electrical Engineering from Purdue University. In the past he worked in science projects with high power lasers and vacuum chambers solving fundamental physics problems in nano-science. He has spent the last decade in Silicon Valley working in a dynamic environment of startups as a co-founder or an engineer solving large-scale machine learning problems. Five years ago he started a new chapter at Magic Leap and now leads the perception data team which plays an instrumental role in creating data for evaluating and training machine learning algorithms.
Eldar's Sessions
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.
Jeff Mills is the President and Chief of Revenue Operations at iMerit. Bringing more than 20 years of experience, Jeff oversees the global customer experience, revenue initiatives and delivery at iMerit. Previously, Jeff held leadership roles at Gengo, Criteo, Sojern and SideStep (acquired by Kayak). Jeff holds a strong passion for working with emerging technology companies, which began during his time at Yahoo! From 1998 to 2006, Jeff immersed himself in multiple phases of company growth across the commerce and media divisions at Yahoo!. In 2021, Jeff completed the Stanford University Graduate School of Business Executive Program.
Jeff's Sessions
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.
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.
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.
Ethan Kurzweil is a partner at Bessemer Venture Partners.
Ethan's Sessions
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.
Ankit Jain is the Vice President of Special Projects at SimilarWeb; he joined via the acquisition of mobile intelligence startup Quettra, which he founded and led as CEO. Prior to that he was the Head of Search & Discovery for Google Play, which he joined through the acquisition of Cuil. Ankit holds a BS and MS in Electrical Engineering and Computer Science from UC Berkeley. He received a Certificate in Management of Technology from the Walter A. Haas School of Business at UC Berkeley in 2008.
Ankit's Sessions
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.
Jack Guo is the Head of Autonomy Platform at Nuro, a robotics company that aims to better everyday life through robotics with its first application in autonomous goods delivery. Autonomy Platform consists of simulation, evaluation, data platform, data science, ML infra, ground truth eng teams and data labeling operation team, and its mission is to build tools, infra and services that accelerate the development of autonomy. Before joining Nuro, Jack was managing the machine learning infrastructure team at Twitter, powering key ML applications like ads prediction and feeds ranking. Jack earned a Bachelor’s degree from Tsinghua University and Master’s in Electrical Engineering from Stanford University.
Jack's Sessions
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.
Silicon Valley results-driven leader, focused on growth and innovation in consumer technology products powered by AI and ML techniques. Over 15 years of experience leading global teams of product managers, analytics and data scientist at Target, eBay, First American Corp, and CashEdge. Passionate about building customer centric design, growing world-class global teams, and being the change agent on diversity and inclusion initiatives.
Huma's Sessions
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.
Dr. John M. Dolan received his B.S.E. from Princeton University and his master’s and doctorate from Carnegie Mellon University (CMU), all in mechanical engineering. He has been on the faculty of CMU’s Robotics Institute since 1991 and is Director of the Master of Science in Robotic Systems Development (MRSD) and RI Summer Scholars Programs. He has extensive experience in multirobot systems and autonomous navigation and control, and was the Behaviors team lead for CMU’s winning entry in the DARPA 2007 Urban Challenge race. He is PI for multiple projects in the CMU-Argo AI Autonomous Driving Center. He has been PI for DARPA, DOT, GM, NASA, NSF, and industry projects involving robots for autonomous driving, reconnaissance, exploration, manufacturing, environmental sensing, and reliable operation. Dr. Dolan is the former chairman of the SAE Unmanned Ground Vehicle Reliability Task Force, a member of the SAE On-Road Autonomous Vehicle Standards Committee, and a Senior Member of the IEEE. He has served on the program committee of numerous international conferences, including IEEE Systems, Man, and Cybernetics and Autonomous Agents and Multi-Agent Systems (AAMAS). He has extensive experience in creating working systems through industrial collaborations including ABB, Bombardier, GM, Kajima, Leidos, SAIC, and Shimizu. He is co-founder of three startup companies: Ottomatika, Discovery Robotics, and Retrofit AI. Dr. Dolan served as an active-duty and Reserve Army military intelligence officer, completing his reserve career as brigade commander of a Strategic Military Intelligence Group within the Military Intelligence Readiness Command.
John's Sessions
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.
Daniel S. Chow, MD is the Co-Director for the Center for Artificial Intelligence in Diagnostic Medicine. He joined the University of California, Irvine in December 2016 and holds an appointment as Assistant Professor-in-Residence for the Department of Radiological Sciences and Neurology. Dr. Chow completed his medical degree at the University of California, Los Angeles in 2010. He subsequently completed his radiology residency at Columbia University Medical Center through the Leonard Holman Research Pathway. During his residency, Dr. Chow received numerous awards including the RSNA Roentgen Resident/ Fellow Research Award. ARRS Resident in Radiology President’s Award, and RSNA Resident Research Grant Award. After completing residency in 2015, he completed his neuroradiology fellowship training at the University of California, San Francisco. After completing his fellowship, Dr. Chow joined the neuroradiology faculty at the University of California, Irvine. His work has led to several grant awards, over 40 peer-reviewed publications, 6 book chapters, and over 50 abstracts. Dr. Chow provides his expertise to several professional organizations with a focus on clinical applications for artificial intelligence tools. Dr. Chow works regularly with students and other researchers by providing guidance and assistance in designing studies that seek to leverage artificial intelligence for biomedical applications.
Daniel's Sessions
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.
Bobby Anderson is a Global Clinical Insights Leader for Point of Care Ultrasound at GE Healthcare. In his role with GE he uses his clinical expertise and professional relationships to help guide the development of Point of Care ultrasound systems. Bobby has 15 years of clinical experience in ultrasound including Cardiac, General imaging, OB/Gyn, Vascular, Interventional, Surgical and Point of Care ultrasound and 10 years of experience in research and development of ultrasound systems and technology. In his current role at GE, Bobby has worked closely with engineers to develop 5 AI tools which help physicians perform difficult measurements with a single button press.
Bobby's Sessions
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.
Brett Hallinan oversees the product, marketing and public relations efforts at iMerit. With more than 20 years of experience, Brett has deep management experience in building scalable online businesses through innovative marketing, products and services. He spent 10 years at Yahoo in leadership roles for product marketing, business development and general management. He’s developed revenue models and led teams at both large companies and small start-ups such as Kollective, Navis, Merrill Lynch, Glam Media, Position Technologies and CitySearch. Brett earned a Masters of Business Administration from UCLA Anderson School of Management and Bachelor of Science in Information Technology from Syracuse University.
Brett's Sessions
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.
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.
Chris is the founder and CEO for CBC, a global transportation and technology consulting firm focused on helping cities, companies, universities, and governments around the world to advance autonomous transportation and other new mobility services. Chris has more than 25 years of experience in deploying aerospace, autonomous transportation, cybersecurity, and smart city innovations for companies such as Boeing, Cisco, Honeywell, Lucent, Microsoft, Raytheon, Real Networks, and the Volvo Group. Chris is currently a transportation/smart cities advisor for the Cities Today Institute helping cities around the world with transportation infrastructure and autonomous surface transportation planning. His CBC team has also developed and deployed self-driving car simulators for State DOTs/DMVs, universities, museums and other public facilities – to teach the public about self-driving vehicles. Previously, Chris was the Vice President of New Mobility at Keolis Group and helped launch the first open road #autonomous #shuttle service in North America. Chris is a national Board Member for the Association for Commuter Transportation. He’s also a global keynote speaker on topics ranging from smart cities and new mobility services to cybersecurity, alternative energy options and advancements in artificial intelligence.
Chris's Sessions
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.
Eran Shlomo is the co-founder and CEO of Dataloop.
Eran's Sessions
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.
Georg Poier joined Reactive Reality in 2021 and leads the machine learning team. Georg received his Ph.D. degree from Graz University of Technology, where he worked with Professor Bischof on label efficiency of learning-based systems. His previous stops include Siemens Corporate Research (SCR), the Foundation for Research and Technology Hellas (FORTH) and Microsoft Research (MSRC) where his roles focused on computer vision and machine learning.
Georg's Sessions
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.
Glen Ford is VP of Product at iMerit — a leading AI data solutions company — where he leads the product management and design teams. Glen holds more than two decades of product development experience across the technology sector. A Graduate of Texas A&M University—Commerce, Glen began his career as a consultant where he handled full-stack web programming and architecture for clients including Time Warner and AIM Funds. Over the years, he has held senior and director-level product management roles at several companies including Demand Media, WP Engine and Humanify. Most recently, Glen spent four years at Alegion — an ML-powered data annotation platform — where he helped the company grow from eight full-time employees to more than 100 in a challenging, emerging market
Glen's Sessions
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.
Ivan Lee is the CEO and Founder of Datasaur.ai. He graduated with a Computer Science B.S. from Stanford University. He took a leave of absence from pursuing his Computer Science Master’s degree to co-found Loki Studios with three other Stanford students. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Ivan went on to participate in Yahoo’s inaugural Associate Product Manager program. He spent two years as a Product Manager defining and re-building mobile search using artificial intelligence. Ivan went on to serve as VP of Product at GoButler, working to define a new genre of virtual personal assistant. He most recently worked on AI Products at Apple. He currently lives in the Bay Area. Aside from thinking about technology and its application to products, he enjoys playing Ultimately Frisbee on warm California days.
Ivan's Sessions
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.
Jai Natarajan is the Vice President, Strategic Business Development at iMerit, a global AI data solutions company delivering high-quality data that powers machine learning and artificial intelligence applications for Fortune 500 companies. Bringing more than 24 years of experience, Jai works with more than 5500 data experts who label and enrich data at scale to help customers get better results from their machine learning algorithms. Jai works with iMerit’s partner ecosystem to develop iMerit’s solutions for its customers, and provides strategic inputs to the company. Previously, Jai worked at Lucasfilm and Sony, and founded Xentrix, an Emmy-winning animation studio. He is a board member of the Anudip Foundation. JaI has an M.S. in Computer Science from UCLA, and undergraduate degrees from Birla Institute of Technology and Science.
Jai's Sessions
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.
Kai Wang is the Director of Prediction at Zoox. At Zoox, the Prediction team is responsible for modeling the future behavior of all dynamic agents (vehicles, pedestrians, bicyclists, etc.) around our vehicle so that we can navigate through the world in a safe and efficient manner. Kai has been with Zoox since 2016 and prior to that was a Software Engineer at Google working on Computer Vision. Kai received his PhD from UC San Diego and BS from the University of Washington, both in Computer Science.
Kai's Sessions
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.
Karthik Paga is a Sr. Research Engineer in Raven’s Applied Technology Division. Within Raven’s Precisions Agriculture Business, his team is focused on developing and deploying AI systems for situational awareness that directly enable autonomous operations that involve close interactions with people and machines in the field. Raven’s Level $ & 5 autonomy products are actively being used by customers and constantly being tested in a variety of field conditions, all the more driving the need for data and AI systems. Karthik graduated from the Carnegie Mellon’s Robotics Institute where he had the opportunity to team up and build robots for marine and lunar exploration, AI models for robotic manipulation tasks etc. Prior to Carnegie Mellon he was involved in developing the planning and control software for robotic manipulators used in factory floors. Beyond robots, he shares interests in exploring & conserving the natural world and enabling communities for better healthcare.
Karthik's Sessions
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.
Keith joined Kitware in May 2010 as a research and development engineer and was rapidly promoted to technical lead for his technical contributions and leadership across multiple projects on the Computer Vision Team, particularly the DARPA PerSEAS and VIRAT efforts. He was then promoted to an assistant director, where he demonstrated outstanding leadership on large, multi-year, multi-phase projects. Through these projects, which include DARPA Squad-X Core Technologies and DARPA URSA, he has developed a new area of business for Kitware in cyber-physical systems (CPS). This resulted in his most recent promotion to director of cyber-physical systems. Previously, Keith worked for IBM, Digital Equipment Corporation, and as an independent consultant building medical software for Apple Macintosh computers. He then took a position with Adobe Systems in Seattle, Washington, where he pioneered Adobe’s early online commerce activities and joined the Consumer Systems Group dedicated to bringing Adobe technology to non-traditional consumer computing devices. The Consumer Systems Group was spun out by Adobe as PictureIQ Inc. where Keith served as the head of engineering, architecting and developing award winning server technology for the then nascent online photo industry. Keith Fieldhouse graduated with a B.S. in Computer Science from the Rochester Institute of Technology. He also holds a M.A. in Military History from Norwich University. More recently Keith worked at Simmetrix Inc, where he was the lead and principal architect of a Python-based rapid development environment for Simulation Based Design.
Keith's Sessions
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.
Dr. Naqi Khan is a physician specializing in clinical informatics, who currently leads health AI initiatives for real-world evidence platform development and biomedical natural language processing at Microsoft Health & Life Sciences. Previously, Dr. Khan led projects in clinical decision support, clinical AI, and consumer health informatics for Kaiser Permanente (KP) Southern California. He helped develop KP’s strategy and design of machine learning-powered solutions targeting areas of virtualized care and clinical charting improvement. Prior to his time at KP, Dr. Khan led company-wide interoperability and clinical knowledge engineering initiatives as Director of Medical Informatics at MCG Health (part of Hearst Health). Dr. Khan earned his M.D. from Stony Brook University School of Medicine, a M.S. in biomedical informatics from Vanderbilt University, and a B.S. in biology and information science from Cornell University.
Naqi's Sessions
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.
PD is the VP of software products at Sambanova systems – a vertically integrated AI company and one of the highest funded AI companies in the world. Prior to this he was the VP Products at UiPath, founded the Al business, and led it through the IPO. He has two decades of experience building Al/ML systems in varied enterprise areas, such as healthcare, CRM, Retail, and productivity apps. His past work includes an automated retail stores startup and a system for predicting patient readmissions. As research lead for Microsoft Office, PD founded some of the first intelligent mobile apps, and ML and NLP components for Microsoft Office. At Microsoft, he also built a new business group focused on Al for sales and marketing with a multibillion-dollar impact on Microsoft revenue. Prabhdeep earned an M.S. from Stony Brook University in New York, is a Stanford Alum, and holds multiple patents.
Prabhdeep's Sessions
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.
Dr. Sina Bari is a Stanford University trained reconstructive surgeon, medical technology innovator and leading voice in medical AI development. He currently serves as director of medical AI at iMerit where he helps create large-scale datasets to power a variety of medical AI machine learning use cases.
Sina's Sessions
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.
Sudeep George is the vice president of engineering at iMerit, where he develops production-ready frameworks for a data-centric approach to machine learning. He has a strong background in imaging sensors, computer vision and has built and manufactured multi-sensor computational imaging platforms for several market verticals.
Sudeep's Sessions
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.
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.
Sumit Agarwal is a technologist with a practitioner mindset and extensive experience on solutions implementations across data and AI technologies. He has a research focus on Artificial Intelligence, Machine Learning, Advanced Analytics and Data Science. He provides guidance on AI topics including end-to-end solution implementations, architectures, frameworks and best practices related to cloud AI, responsible AI (explainability, privacy, fairness, adversarial robustness), skills development and organization structure, governance, technical strategy and open-source components.
Sumit's Sessions
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.
Teresa O’Neill is a linguist and product leader, uniting linguistic research, customer experience, and data operations to drive the development of next-generation Conversational AI technology. Teresa is the former Principal Architect for NLP at iMerit, and now heads the Linguistics team at OpenCity, transforming how restaurants and their customers communicate.
Teresa's Sessions
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.
