Data Infrastructure

Datacast Episode 131: Data Infrastructure for Consumer Platforms, Algorithmic Governance, and Responsible AI with Krishna Gade

Datacast Episode 131: Data Infrastructure for Consumer Platforms, Algorithmic Governance, and Responsible AI with Krishna Gade

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.

Datacast Episode 128: Building Trust with Founders, VC Funding for the Cloud, and The Next Platform for Data Apps with Jason Risch

Datacast Episode 128: Building Trust with Founders, VC Funding for the Cloud, and The Next Platform for Data Apps with Jason Risch

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.

Datacast Episode 125: The Next Wave of Developer Platforms, Data Products, and Software Infrastructure with Sakib Dadi

Datacast Episode 125: The Next Wave of Developer Platforms, Data Products, and Software Infrastructure with Sakib Dadi

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.

Datacast Episode 117: Vector Databases, The Embeddings Revolution, and Working in China with Frank Liu

Datacast Episode 117: Vector Databases, The Embeddings Revolution, and Working in China with Frank Liu

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.

Datacast Episode 116: Distributed Databases, Open-Source Standards, and Streaming Data Lakehouse with Vinoth Chandar

Datacast Episode 116: Distributed Databases, Open-Source Standards, and Streaming Data Lakehouse with Vinoth Chandar

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.

Datacast Episode 110: Wisdom in Building Data Infrastructure, Lessons from Open-Source Development, The Missing README, and The Future of Data Engineering with Chris Riccomini

Datacast Episode 110: Wisdom in Building Data Infrastructure, Lessons from Open-Source Development, The Missing README, and The Future of Data Engineering with Chris Riccomini

Chris Riccomini is an engineer, author, investor, and advisor. He has worked on infrastructure as an engineer and manager for about 15 years at PayPal, LinkedIn, and WePay. He was involved in open source as the original author of Apache Samza and an early contributor to Apache Airflow. He has also written a book with Dmitriy Ryaboy called The Missing README, a guide for software engineers. Lately, he has been investing in startups in the data space.

Datacast Episode 109: Developer Productivity, Real-Time Data Infrastructure, and The Fat-Tailed Nature of Enterprise Software with Nnamdi Iregbulem

Datacast Episode 109: Developer Productivity, Real-Time Data Infrastructure, and The Fat-Tailed Nature of Enterprise Software with Nnamdi Iregbulem

Nnamdi Iregbulem, a Partner at Lightspeed Venture Partners, is a self-taught programmer and lifelong technology nerd. His mission is to increase total software output by supporting entrepreneurs building technical tools for technical people. He focuses on investments in technical enterprise software such as developer tools, application infrastructure, and machine learning.

Datacast Episode 107: Investing At The Nexus of Computational Sciences with Grace Isford

Datacast Episode 107: Investing At The Nexus of Computational Sciences with Grace Isford

Grace Isford is a Partner based in Lux Capital's New York City office. She invests in companies innovating at the nexus of the computational sciences – data, AI and ML infrastructure, network and compute infrastructure, and cutting-edge technological applications, especially in healthcare and financial services. She focuses on data and machine-learning startups that are hyper-personalizing user experiences and transforming legacy industries, as well as fintech and blockchain infrastructure companies building the next-gen developer stack and payment rails.

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.