Where I express personal thoughts in words
With over 10 years of experience (Google, AI-focused startups) with big data and as the Chief Product Officer and co-founder at Mona, the leading AI monitoring intelligence company, Itai has a unique view of the AI industry. Working closely with data science and ML teams applying dozens of solutions in over 10 industries, Itai encounters a wide variety of business use cases, organizational structures and cultures, and technologies used in today’s AI world.
Alexander Gallego is the founder and CEO of Redpanda Data, a high-performance, Apache Kafka-compatible data streaming platform for mission-critical workloads. He has spent his career immersed in deeply technical environments and is passionate about finding and building solutions to the challenges of modern data streaming.
Before Redpanda, Alex was a principal engineer at Akamai and the co-founder and CTO of Concord.io, a high-performance stream-processing engine acquired by Akamai in 2016. He has also engineered software at Factset Research Systems, Forex Capital Markets, and Yieldmo; and holds a bachelor’s degree in computer science and cryptography from NYU.
Curtis Northcutt is an American computer scientist and entrepreneur focusing on AI to empower people. He is the CEO and Co-Founder of Cleanlab, building next-generation data-centric AI and open-source technologies that enable AI to work with real-world, messy data.
He completed his Ph.D. at MIT, where he invented confident learning to automatically find label issues in any dataset. Curtis received the MIT thesis award, NSF Fellowship, and Goldwater Scholarship for his work. Before Cleanlab, he worked in AI research teams at Google, Oculus, Amazon, Facebook, Microsoft, and NASA.
Dr. Eric Daimler is an authority in Artificial Intelligence with over 20 years of experience in the field as an entrepreneur, executive, investor, technologist, and policy advisor. Eric has co-founded six technology companies that have done pioneering work in areas ranging from software systems to statistical arbitrage.
As a Presidential Innovation Fellow during the Obama Administration, Eric helped drive the agenda for U.S. leadership in research, commercialization, and public adoption of AI. He has also served as the Assistant Dean and an Assistant Professor of Software Engineering at Carnegie Mellon’s School of Computer Science. He specializes in public policy and economics, helped launch Carnegie Mellon’s Silicon Valley Campus, and founded its Entrepreneurial Management program. His academic research focuses on the intersection of Machine Learning, Computational Linguistics, and Network Science.
As a frequent keynote speaker, Eric has presented at venues including the engineering schools of MIT, Stanford, and Harvard. He studied at Stanford University, the University of Washington-Seattle, and Carnegie Mellon University, where he earned his Ph.D. in its School of Computer Science.
Tarush Aggarwal is one of the leading experts in leveraging data for exponential growth, with over ten years of experience in the field.
After graduating with a degree in Computer Engineering from Carnegie Mellon in 2011, he became the first data engineer on the analytics team at Salesforce.com. Data was in its infancy, and the log metric framework he built was critical in allowing Salesforce to analyze data across customers and provide benchmarks across different industries and verticals.
Most recently, Tarush led Data for WeWork. WeWork leveraged data to grow 10x in 3 years, supporting a footprint of 800+ offices in 120+ cities in 23+ countries with over 12,000 employees, making WeWork one of the fastest-growing companies in the world. He scaled the data org from 2 to 100+, and their unique approach allowed them to stay lean while supporting every functional area of the business. In 2019, he moved to China to help establish WeWork’s Asia operations and focus on the hyper-growing Chinese market.
Cody Coleman is the Founder and CEO of Coactive AI. He is also a co-creator of DAWNBench and MLPerf and a founding member of MLCommons. His work spans from performance benchmarking of hardware and software systems to computationally efficient methods for active learning and core-set selection. He holds a Ph.D. in Computer Science from Stanford University, where Professors Matei Zaharia and Peter Bailis advised him, and an MEng and BS from MIT.
Mars Lan is the co-founder and CTO of Metaphor Data, a startup that offers a Modern Metadata Platform to solve many complex organizational data challenges, such as data discovery and data governance. He also co-created the popular open-source project DataHub while working as the Tech Lead of the metadata team at LinkedIn. Mars received his Ph.D. in Computer Science from the University of California, Los Angeles.
Kashish Gupta is the founder and co-CEO of Hightouch, a data startup based out of San Francisco. He grew up in Atlanta, loves playing racket sports, and always wanted to be an inventor when he grew up. He studied Machine Learning in college and had a short stint at a VC firm called Bessemer Venture Partners, and ever since graduating has been working on Startups. He and his co-founders are on their 5th business idea and have finally found a product-market fit.
Emeli Dral is a Co-founder and CTO at Evidently AI, a startup developing tools to analyze and monitor the performance of machine learning models. Earlier, she co-founded an industrial AI startup and served as the Chief Data Scientist at Yandex Data Factory. She led over 50 applied ML projects for various industries - from banking to manufacturing. Emeli is also a data science lecturer at St. Petersburg State Management School and Harbour.Space University. She is a co-author of the Machine Learning and Data Analysis curriculum at Coursera with over 100,000 students. She also co-founded Data Mining in Action, the largest open data science course in Russia.
Azin Asgarian is currently an applied research scientist on Georgian’s R&D team, where she works with companies to help adopt applied research techniques to overcome business challenges. Azin holds a Master of Science in Computer Science from the University of Toronto and a Bachelor of Computer Science from the University of Tehran. Before joining Georgian, Azin was a research assistant at the University of Toronto and part of the Computer Vision Group, where she worked on the intersection of Machine Learning, Transfer Learning, and Computer Vision. In addition, due to her interest in HealthCare, she has worked on various healthcare projects as a research assistant at University Health Network.
