Datacast

Datacast Episode 103: Computational Economics, Statistical Arbitrage, and Adaptable Data Consolidation with Eric Daimler

Datacast Episode 103: Computational Economics, Statistical Arbitrage, and Adaptable Data Consolidation with Eric Daimler

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.

Datacast Episode 102: Early-Stage Investing, Modern Venture Capital, and Trends in Enterprise Infrastructure with Astasia Myers

Datacast Episode 102: Early-Stage Investing, Modern Venture Capital, and Trends in Enterprise Infrastructure with Astasia Myers

Astasia Myers is a Partner on Quiet Capital's enterprise team leading investments in ML, data infrastructure, open-source, developer tools, and security. She focuses on pre-seed, seed, and Series A.

Prior to joining Quiet, Astasia was an investor in Redpoint's early-stage enterprise team, where she partnered with Dremio, LaunchDarkly, Solo.io, Preset, Hex, Cyral, among others. Before that, she worked at Cisco Investments, where she focused on cloud-infrastructure M&A and investments, including Cohesity, Datos IO, Elastifile, Guardicore, Springpath, and the funding of internal stealth projects.

Datacast Episode 101: Scaling Data Engineering, Building Data Teams, and Managed Data Stack with Tarush Aggarwal

Datacast Episode 101: Scaling Data Engineering, Building Data Teams, and Managed Data Stack with Tarush Aggarwal

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.

Datacast Episode 100: Data-Centric Computer Vision, Productizing AI, and Scaling a Global Startup with Hyun Kim

Datacast Episode 100: Data-Centric Computer Vision, Productizing AI, and Scaling a Global Startup with Hyun Kim

Hyun Kim is the co-founder and CEO of Superb AI, an ML DataOps platform that helps computer vision teams automate and manage the entire data pipeline: from ingestion and labeling to data quality assessment and delivery. He initially studied Biomedical Engineering and Electrical Engineering at Duke but shifted from genetic engineering to robotics and deep learning. He then pursued a Ph.D. in computer science at Duke with a focus on Robotics and Deep Learning but ended up taking leave to further immerse himself in the world of AI R&D at a corporate research lab. During this time, he started to experience the bottlenecks and obstacles that many companies still face to this day: data labeling and management were very manual, and the available solutions were nowhere near sufficient.

Datacast Episode 99: Data Mobility, Enterprise GTM, and Tech Leadership with Gary Hagmueller

Datacast Episode 99: Data Mobility, Enterprise GTM, and Tech Leadership with Gary Hagmueller

Gary Hagmueller is CEO of Arcion Labs, Inc., the only cloud-native, zero-code data mobility platform that allows enterprises to build high-performance, real-time data pipelines in seconds. He brings 20+ years of tech industry leadership experience and has generated nearly $8B in enterprise value through two IPOs and four M&A exits. He holds an MBA from the Marshall School of Business at the University of Southern California, where he was named Sheth Fellow, and a bachelor’s in Business Administration from Arizona State University.

Datacast Episode 98: Building Developer Tools, Managing Platform Products, Fostering Diversity, and Enabling Real-Time Data Applications with DeVaris Brown

Datacast Episode 98: Building Developer Tools, Managing Platform Products, Fostering Diversity, and Enabling Real-Time Data Applications with DeVaris Brown

DeVaris Brown is the CEO and co-founder of Meroxa, a VC-backed company enabling teams of any size and level of expertise to build real-time data pipelines in minutes, not months.

Prior to founding Meroxa, DeVaris was a product leader at Twitter, Heroku, VSCO, and Zendesk. When he’s not sitting in front of a computer, you can find DeVaris behind a camera capturing moments in time, at the stove whipping up the finest delicacies, or behind a set of turntables, moving a sea of people through music.

Datacast Episode 97: Escaping Poverty, Embracing Digital Learning, Benchmarking ML Systems, and Advancing Data-Centric AI with Cody Coleman

Datacast Episode 97: Escaping Poverty, Embracing Digital Learning, Benchmarking ML Systems, and Advancing Data-Centric AI with Cody Coleman

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.

Datacast Episode 96: Data Science Training and The Power of Education with Merav Yuravlivker

Datacast Episode 96: Data Science Training and The Power of Education with Merav Yuravlivker

Merav Yuravlivker is the Co-founder and Chief Executive Officer of Data Society. With over ten years of experience in instructional design, training, and teaching, she started her career teaching elementary special education in NYC public schools through the Teach for America program. She went on to join the International Baccalaureate Organization, where she developed deep expertise in online training, assessments, and recruitment. She also taught as a Kaplan GRE instructor, where she ranked as one of their top 10% instructors based on student surveys.

Merav found her passion for education and knew that she wanted to make an impact on an even larger scale. She recognized the importance of data literacy and began her data journey by learning how to program and design best practices for students during her free time. Six months later, she left her full-time job to focus on building Data Society along with her co-founders. Over the past seven years, she and her team have developed customized, industry-tailored data science training solutions that educate, equip and empower an organization’s workforce to achieve its goals and expand its impact.

Datacast Episode 95: Open-Source DataOps, Building In Public, and Remote Work Culture with Douwe Maan

Datacast Episode 95: Open-Source DataOps, Building In Public, and Remote Work Culture with Douwe Maan

Douwe Maan is the founder and CEO of Meltano, an open-source DataOps platform. Before joining Meltano, he was hired as the tenth employee at GitLab, later becoming an Engineering Manager. While at GitLab, he spent six months traveling the world, visiting colleagues in 14 different countries. In 2019, he joined the internal Meltano project at GitLab and quickly became its General Manager. In early 2021, Douwe led Meltano in spinning out of GitLab to become an independent startup, raising seed funding from investors led by Alphabet's GV.

Datacast Episode 94: Modern Metadata Management, Open-Source Adoption, and Early-Stage Culture with Mars Lan

Datacast Episode 94: Modern Metadata Management, Open-Source Adoption, and Early-Stage Culture with Mars Lan

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.