Datacast

Datacast Episode 83: Startup Scrappiness, Venture Matchmaking, and Thinking In Bets with Leigh-Marie Braswell

Datacast Episode 83: Startup Scrappiness, Venture Matchmaking, and Thinking In Bets with Leigh-Marie Braswell

Leigh-Marie Braswell is an investor at Founders Fund.

Before joining Founders Fund, she was an early engineer & the first product manager at Scale AI, where she originally built & later led product development for the LiDAR/3D annotation products, used by many autonomous vehicles, robots, and AR/VR companies as a core step in their machine learning lifecycles. She also has done software development at Blend, machine learning at Google, and quantitative trading at Jane Street.

She is originally from Alabama, graduated from MIT, and loves to play poker, run long distances, and scuba dive.

Datacast Episode 82: Enabling AI-Powered AR Navigation For Driving with Chen-Ping Yu

Datacast Episode 82: Enabling AI-Powered AR Navigation For Driving with Chen-Ping Yu

Dr. Chen-Ping Yu is the co-founder and CEO of Phiar, a company that is bringing human-like perception to every vehicle with its advanced lightweight spatial AI. Prior to founding Phiar, he was a postdoctoral fellow at Harvard University, researching neuro-inspired deep learning.

Chen-Ping received his Ph.D. from Stony Brook University in Computer Vision and Machine Learning and his MS from Penn State University. He was the recipient of numerous honors and awards, including from the NSF, and has published more than 15 scientific publications at top computer vision, AI, and cognitive science conferences and journals.

Datacast Episode 81: Research, Engineering, and Product in Machine Learning with Aarti Bagul

Datacast Episode 81: Research, Engineering, and Product in Machine Learning with Aarti Bagul

Aarti Bagul is a machine learning engineer at Snorkel AI. Before Snorkel, she worked closely with Andrew Ng in various capacities: (1) at AI Fund helping build ML companies from scratch internally and investing in ML companies, (2) as an ML engineer at his startup Landing AI, (3) as head TA for his deep learning class CS230, and (4) as an assistant in his research lab at Stanford.

Aarti graduated with a master’s in Computer Science from Stanford, where she participated in the Threshold Venture and Greylock X fellowships. Before Stanford, she got her bachelor’s in Computer Science and Computer Engineering from NYU with the highest honors. During her time at NYU, she worked in David Sontag’s lab on machine learning applications to clinical medicine and at Microsoft Research as a research intern for John Langford (where she contributed to Vowpal Wabbit, an open-source project).

Datacast Episode 80: Creating The Sense of Sight with Alberto Rizzoli

Datacast Episode 80: Creating The Sense of Sight with Alberto Rizzoli

Alberto Rizzoli is co-Founder of V7, a platform for deep learning teams to manage training data workflows and create image recognition AI. V7 is used by AI-first companies and enterprises, including Honeywell, Merck, General Electrics, and MIT.

Alberto founded his first startup at age 19 and made the MakerFaire’s 20 under 20 list. In 2015, he began working on AI with Simon Edwardson while studying under Ray Kurzweil, leading to the creation of the first engine capable of running large deep neural networks on smartphone CPUs. Later, this project became Aipoly, a startup that helped the blind identify over 3 billion objects to date using their phones.

Alberto's work on AI granted him an award and personal audience by Italian President Sergio Mattarella and Italy’s Premio Gentile for Science and Innovation. V7's underlying technology won the CES Best of Innovation in 2017 and 2018.

Datacast Episode 79: Analytics Culture, Digital Contracting, and Data Angels with Jessica Cherny

Datacast Episode 79: Analytics Culture, Digital Contracting, and Data Angels with Jessica Cherny

Jessica Cherny currently runs the data analytics team at Ironclad, a series D digital contracting startup. As part of her job, Jessica builds out the data analytics function and provides analytics and data insights to inform business decisions for the product, customer success, engineering, sales, marketing, and operations organizations. Prior to joining Ironclad, she graduated from UC Berkeley as part of the university’s first cohort of Data Science majors.

Outside of work, Jessica is passionate about data mentorship and founded Data Angels -- a Slack community of women in data that provides resources, support, job opportunities, education, and community to its members.

Datacast Episode 78: Open-Source Investing and Data Product Management with Julia Schottenstein

Datacast Episode 78: Open-Source Investing and Data Product Management with Julia Schottenstein

Julia Schottenstein is a Product Manager at dbt Labs, the maker of the popular open-source project dbt. Before joining dbt Labs, Julia was an investor at New Enterprise Associates, where she invested in infrastructure, developer tools, open-source, and data startups. She currently sits on the boards of Sentry and Metabase while being an active angel investor. Julia graduated from Stanford University with degrees in Computer Science and Management Science & Engineering.

Datacast Episode 77: Delivering Modern Data Engineering with Einat Orr

Datacast Episode 77: Delivering Modern Data Engineering with Einat Orr

Einat Orr is the CEO and Co-founder of Treeverse, the company behind lakeFS, an open-source platform that delivers resilience and manageability to object-storage-based data lakes. She received her PhD. in Mathematics from Tel Aviv University in optimization in graph theory. Einat previously led several engineering organizations, most recently as the CTO at SimilarWeb.

Datacast Episode 76: Modern Data Collaboration and Social Entrepreneurship with Prukalpa Sankar

Datacast Episode 76: Modern Data Collaboration and Social Entrepreneurship with Prukalpa Sankar

Prukalpa Sankar is the Co-founder of Atlan. Atlan is a modern data collaboration workspace (like Github for engineering or Figma for design). By acting as a virtual hub for data assets ranging from tables and dashboards to models & code, Atlan enables teams to create a single source of truth for all their data assets and collaborate across the modern data stack through deep integrations with tools like Slack, BI tools, data science tools and more. As a pioneer in the space, Atlan was recognized by Gartner as a Cool Vendor in DataOps, as one of the top 3 companies globally.

Prukalpa previously co-founded SocialCops, a world-leading data-for-good company recognized as a New York Times Global Visionary and a World Economic Forum Tech Pioneer. SocialCops is behind landmark data projects, including India’s National Data Platform and SDGs global monitoring in collaboration with the United Nations.

Prukalpa was awarded the Economic Times Emerging Entrepreneur for the Year and recognized in multiple lists such as Forbes 30u30, Fortune 40u40, and Top 10 CNBC Young Business Women 2016.

Datacast Episode 75: Commoditizing Data Integration Pipelines with Michel Tricot

Datacast Episode 75: Commoditizing Data Integration Pipelines with Michel Tricot

Michel Tricot has been working in data engineering for 15 years. Originally from France, Michel came to the US in 2011 to join a small startup named LiveRamp. As the company grew, he became the Head of Integrations and Director of Engineering, where his team built and scaled over 1,000 data ingestion and distribution connectors to replicate hundreds of TB worth of data every day. 

After LiveRamp’s acquisition and later IPO (NYSE:RAMP), he wanted to return to an early-stage startup. So he joined rideOS as Director of Engineering, again deep in data engineering. While there, he realized that companies were always trying to solve the same problem repeatedly, which should be solved once and for all. 

This was when he decided to start a new company, and Airbyte was born.

Datacast Episode 74: The Next Generation of Business Intelligence with Cindi Howson

Datacast Episode 74: The Next Generation of Business Intelligence with Cindi Howson

Cindi Howson, the Chief Data Strategy Officer at ThoughtSpot, is an analytics and Business Intelligence expert with more than 20 years of experience and a flair for bridging business needs with technology.

Cindi was previously the Vice President in data and analytics at Gartner, where she was the lead author of the Analytics and BI Magic Quadrant. Additionally, she led the data and analytics maturity model, as well as research initiatives in data and AI for good, NLP/BI Search, and augmented analytics.

Prior to this, she was the founder of BI Scorecard, a contributor to Information Week, and the author of several books, including (1) Successful Business Intelligence: Unlock the Value of BI & Big Data and (2) SAP BusinessObjects BI 4.0: The Complete Reference. She has an MBA from Rice University and a BA from the University of Maryland.