Datacast Episode 114: Building Data Products and Unlocking Data Insights with Carlos Aguilar

Datacast Episode 114: Building Data Products and Unlocking Data Insights with Carlos Aguilar

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.

Datacast Episode 113: Data Applications, Real-Time Analytics, and Cloud Product Management with Shruti Bhat

Datacast Episode 113: Data Applications, Real-Time Analytics, and Cloud Product Management with Shruti Bhat

Shruti Bhat leads product management and marketing at Rockset. Before Rockset, she led Product Management for Oracle Cloud, focusing on AI, IoT, and Blockchain. Previously, she was the VP of Marketing at Ravello Systems, where she drove the start-up's rapid growth from pre-launch to hundreds of customers and a successful acquisition. Before that, she was responsible for launching VMware's vSAN and led engineering teams at HP and IBM. Shruti has a bachelor's in computer science engineering and an MBA from UCLA Anderson.

Datacast Episode 112: Distributed Systems Research, The Philosophy of Computational Complexity, and Modern Streaming Database with Arjun Narayan

Datacast Episode 112: Distributed Systems Research, The Philosophy of Computational Complexity, and Modern Streaming Database with Arjun Narayan

Arjun Narayan is the co-founder and CEO of Materialize. Materialize is a streaming database for real-time applications and analytics, built on top of a next-generation stream processor – Timely Dataflow. He was previously an engineer at Cockroach Labs and held a Ph.D. in Computer Science from the University of Pennsylvania.

Datacast Episode 111: Astrophysics, Visualization Recommendation, and Scalable Data Science with Doris Lee

Datacast Episode 111: Astrophysics, Visualization Recommendation, and Scalable Data Science with Doris Lee

Doris Lee is the co-founder and CEO of Ponder, a startup delivering scalable, enterprise-ready pandas that improve the productivity of data teams. She graduated with her Ph.D. from UC Berkeley RISE Lab in 2021, where she developed data science tools to accelerate insight discovery.

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 108: Computer Vision, Product Management, and Enterprise Investing with Tom Rikert

Datacast Episode 108: Computer Vision, Product Management, and Enterprise Investing with Tom Rikert

Tom Rikert is the co-founder and CEO of Masterful AI, the training platform for computer vision that helps developers build models faster and with much less labeling. He is a former VC and invested in enterprise software and AI/ML at Andreessen Horowitz. Before VC, he held product management roles at Wildfire (acquired by Google), YouTube, and Autodesk. He began his AI/ML journey at MIT and started his career as an engineer at Silicon Graphics. Tom lives in the Bay Area with his wife and daughter and loves going fast, whether on a mountain bike or flying racing drones.

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 106: Advancing AI Adoption with Dania Meira

Datacast Episode 106: Advancing AI Adoption with Dania Meira

Dânia Meira has been a senior expert and mathematician in the data field since 2012, with a Data Science career in Berlin startups where her work focused on ML for predictive analytics. She is also an experienced teacher and mentor. Dânia is the Director of #datalift and a Founding Member of the AI Guild.

2022 Annual Review: The Year of Stability

2022 Annual Review: The Year of Stability

The holiday season is my favorite time of the year. It's a natural time to step back and reflect on what happened this year and define how we want to focus our energy and time in the year ahead. So much can happen over the course of a year: lessons learned, victories, hardships, special moments, personal growth, new relationships, etc. With our inboxes quiet and our schedules free of meetings, we can afford to take a moment and think about what we achieved and what’s next.

Dating back to 2014, I have taken time at the end of the year to conduct a comprehensive annual life review (2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014). This exercise has helped me identify what is important, remove what is not, and evolve in different ways. Continuing the tradition, in this annual review, I'll attempt to gain a holistic perspective of my life in 2022 and where I want to go in 2023.