エピソード
-
Salma Bakouk is the CEO and co-founder of Sifflet, a Full Data Stack Observability platform. Before Sifflet, Salma was an Executive Director at Goldman Sachs in Sales & Trading in Asia, leading key Data & Analytics initiatives. Salma holds an Engineering Degree from École Centrale Paris in Applied Mathematics and a Master's in Statistics and Data Science.
-
Suresh Srinivas was the Chief Architect of Uber’s data platform, responsible for all data initiatives at the company, including the Databook, Data Quality, and Data Lineage initiatives. Suresh was part of the original team that built Hadoop at Yahoo! and co-founded Hortonworks, which developed and supported open-source software to manage big data and associated processing.
He is leading the OpenMetadata Project to build Metadata APIs & specifications and a single place to discover, collaborate, and get your data right. -
エピソードを見逃しましたか?
-
Krishna Gade is the founder and CEO of Fiddler AI, an AI Observability startup that helps AI-forward organizations build trusted AI solutions and connect model outcomes to business KPIs. Fiddler addresses problems in model monitoring, explainability, analytics, and fairness.
An entrepreneur and engineering leader with strong technical experience in creating scalable platforms and delightful products, Krishna previously held senior engineering leadership roles at Facebook, Pinterest, Twitter, and Microsoft. At Facebook, Krishna led the News Feed Ranking Platform that created the infrastructure for ranking content and powered use-cases like Facebook Stories and recommendations like People You May Know, Groups You Should Join, etc. Krishna’s team built Facebook’s explainability features like ‘Why am I seeing this?’ which helped bring much-needed algorithmic transparency and, thereby, accountability to the News Feed for both internal and external users. -
Before founding Einblick in 2020, Emanuel was a postdoc in the database group at MIT and got his Ph.D. in Computer Science from Brown University. He worked on various interactive tools for visual data exploration and analysis during this time. Most of them either influenced or are direct predecessors of Einblick.
Before coming to the US, Emanuel worked as a Software and Data Engineer for various financial companies in Zurich. He tried his luck as a freelancer building in-studio touchscreen installations for Swiss National TV and developing a Spotify clone that failed miserably. -
Diana Hsieh is the Head of Product and Co-Founder at Correlated. She thrives on working with enterprise software startups. She was previously the first PM at infrastructure startups, including Cockroach Labs and Timescale. Before that, she was a VC at Norwest, focused on investing in early-stage enterprise software companies. Diana is always on the hunt for her next favorite coffee shop on weekends.
-
Jason Risch is an investor on the enterprise team at Greylock - investing in security, AI/ML, data, infrastructure, and developer tools. Before joining Greylock, he incubated ML companies at AI Fund and was a management consultant at McKinsey. Jason is a Bay Area native, graduated from Stanford, and when not working, can be found reading, hiking, playing Age of Empires, and cheering on Stanford Football.
-
Heather Wentworth is the founding Chief Data Officer - now working on special projects of Accelerant, an MGA-enabling insurtech focused on improving how risk is exchanged across the insurance ecosystem. She is passionate about delivering innovative solutions and business models that improve business outcomes and drive revenue growth. She was nominated as one of the top 100 Insurance Innovators of 2022 by Lightico.
-
Bob Van Luijt is the CEO and co-founder of Weaviate, the business created around the open-source vector database Weaviate. Besides Weaviate, Bob frequently speaks on open-source, digital technology, software business, and business philosophy. He has spoken at 100s of events on the topics mentioned above all over the world, including a TEDx talk.
-
Sakib Dadi is a vice president at Bessemer Venture Partners in their San Francisco office, where he primarily focuses on early-stage investments in developer platforms, data products, and software infrastructure. He has been involved with Bessemer’s investments, including Prefect, Coiled, Arcion, Periscope Data, Okera, Guild Education, and Sila Nanotechnologies. Before joining Bessemer, Sakib worked in product at Viagogo, an international marketplace for buying and selling tickets for live events.
-
Casber Wang is Partner at Sapphire Ventures. He focuses primarily on security, enterprise infrastructure, and data analytics.
He is a board director/observer at JumpCloud, Tetrate, Upytcs, Verbit, and Zesty. In addition, he works closely with the team at CircleCI, Cypress, Dremio, Privacera, Side, StackHawk, and Thoughtspot. In 2020, Business Insider listed Casber as an Enterprise VC Rising Star Investor.
Prior to Sapphire, he was part of the technology investment banking group at Bank of America Merrill Lynch, where he worked on a number of high-profile IPO and M&A transactions. He also spent time at Wish, a leading mobile commerce platform in North America and Europe. -
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.
-
Gabi Steele is the co-founder and co-CEO of Preql, a no-code data transformation tool that empowers business users to model and manage their own metrics. She is also the co-founder of Data Culture, a data engineering and visualization consultancy. Previously Gabi led data visualization engineering at WeWork and worked on data storytelling at the Washington Post.
-
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. -
Chetan Sharma is the Founder & CEO of Eppo, a next-gen A/B experimentation platform that is designed to spur entrepreneurial culture. As the 4th data scientist at Airbnb and an early data scientist at companies like Webflow, Chetan has been focused on the maturity curve of growth-stage companies and how to establish data as a central stakeholder in decision-making. He previously led the team that developed Airbnb's knowledge repo and has led data teams focused on production machine learning and instrumentation integrity.
-
Chad Sanderson was the Product Lead for Convoy's Data Platform team, which includes the data warehouse, streaming, BI & visualization, experimentation, machine learning, and data discovery.
Previously he worked on Microsoft's AI Platform team and led Data initiatives at SEPHORA and Subway. He has built everything from feature stores, experimentation platforms, metrics layers, streaming platforms, analytics tools, data discovery systems, and workflow development platforms.
His love of the data space has also allowed him to implement open-source and SaaS products (early and late-stage) and build cutting-edge technology from the ground up. -
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. -
Frank Liu is the Director of Operations at Zilliz with nearly a decade of industry experience in machine learning and hardware engineering. Prior to joining Zilliz, Frank co-founded an IoT startup based in Shanghai and worked as an ML Software Engineer at Yahoo in San Francisco. He presents at major industry events such as Open Source Summit and writes tech content for leading publications such as Towards Data Science and DZone. Frank holds MS and BS degrees in Electrical Engineering from Stanford University.
-
Vinoth Chandar is the creator and PMC chair of the Apache Hudi project, a seasoned distributed systems/database engineer, and a dedicated entrepreneur. He has deep experience with databases, distributed systems, and data systems at the planet scale, strengthened through his work at Oracle, Linkedin, Uber, and Confluent.
During his time at Uber, he created Hudi, which pioneered transactional data lakes as we know them today, to solve unique speed and scale needs for Uber’s massive data platform. Most recently, Vinoth founded Onehouse - a cloud-native managed lakehouse to make data lakes easier, faster, and cheaper. -
Alexa Grabell is the co-founder and CEO of Pocus, a Revenue Data platform that is purpose-built for GTM teams to analyze, visualize, and action data about their prospects and customers without needing engineers.
Alexa’s passion for Product-Led Sales started when she led sales strategy & operations at Dataminr, where she built internal solutions to equip sales teams with data. She studied engineering at Vanderbilt University and received her MBA from Stanford University. -
Carlos Aguilar is the Founder and CEO of Glean, a data visualization company based in New York City.
He grew up in Washington, DC, where he started tinkering with robots and websites early on and fell in love with the intersection of art and technology. At Cornell, he studied Mechanical Engineering and robotics and did research in machine learning applications in robotics and art. In 2009, he joined an early robotics startup called Kiva Systems, where he got deep into data and analytics.
After Kiva was acquired by Amazon, Carlos joined Flatiron Health and worked on data products to help cancer centers and cancer researchers. As the head of the Data Insights team, Carlos grew the team to 25 people who helped launch dozens of data products and supported Flatiron's core data infrastructure. - もっと表示する