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Datacast episodes

  • 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.
    1 hr 19 min
  • 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.
    58 min
  • 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.
    1 hr 12 min
  • Episode 73: Datasets for Software 2.0 with Taivo Pungas
    Taivo Pungas is a tech entrepreneur working on a stealth-mode startup. Previously, he built the AI team at Veriff from scratch to 20+ people and contributed to various ML/data roles at Starship and other Estonian startups. On the side, he advises startups and writes a blog at taivo.ai.
    1 hr 18 min
  • Episode 72: Folding Data with Gleb Mezhanskiy
    Gleb Mezhanskiy is the CEO & Co-founder of Datafold -  a data observability platform that helps companies unlock growth through more effective and reliable use of their analytical data. As a founding member of the Data teams at Autodesk and Lyft and the Head of Product at Phantom Auto, Gleb has built some of the world's largest and most sophisticated data platforms and has developed tools to improve productivity and data quality in organizations with hundreds of data users.
    1 hr 8 min
  • Episode 71: Trusted AI with Saishruthi Swaminathan
    Saishruthi Swaminathan is an Advisory Data Scientist at IBM's AI Strategy and Innovation division. Previously, she was a technical lead and data scientist in the IBM Center for Open-Source Data and AI Technologies team, whose main focus is to democratize data and AI through open source technologies. She has a Masters's in Electrical Engineering that specializes in Data Science and a Bachelor's degree in Electronics and Instrumentation. Her passion is to dive deep into the ocean of data, extract insights, and use AI for social good.
    Previously, she worked as a Software Developer on a mission to spread the knowledge and experience she acquired in her learning process. She also leads an initiative to bring education to rural children and organizes meetups that focus on women's empowerment.
    1 hr 14 min
  • Episode 70: Machine Learning Testing with Mohamed Elgendy
    Mohamed Elgendy is a seasoned AI expert, who has previously built and managed AI organizations at Amazon, Rakuten, Twilio, and Synapse. In particular, he founded and managed Amazon's computer vision think tank. He is the author of the "Deep Learning for Vision Systems" book published by Manning in November 2020. Mohamed regularly speaks at many AI conferences like Amazon's DevCon, O'Reilly's AI, and Google's I/O.
    1 hr 3 min
  • Episode 69: DataPrepOps, Active Learning, and Team Management with Jennifer Prendki
    Dr. Jennifer Prendki is the founder and CEO of Alectio, the first startup fully focused on DataPrepOps. She and her team are on a fundamental mission to help ML teams build models with less data. Before Alectio, Jennifer was the Vice President of ML at Figure Eight. She also built an entire ML function from scratch at Atlassian and led multiple Data Science projects on the Search team at Walmart Labs. She is recognized as one of the top industry experts on Active Learning and ML lifecycle management. She is an accomplished speaker who enjoys addressing both technical and non-technical audiences.
    1 hr 29 min
  • Episode 68: Threat Intelligence, Venture Stamina, and Data Investing with Sarah Catanzaro
    Sarah Catanzaro is a Partner at Amplify Partners, where she focuses on investing in and advising high potential startups in machine intelligence, data management, and distributed systems. Her investments at Amplify include startups like RunwayML, Maze Design, OctoML, and Metaphor Data, among others. Sarah also has several years of experience defining data strategy and leading data science teams at startups and in the defense/intelligence sector, including roles at Mattermark, Palantir, Cyveillance, and the Center for Advanced Defense Studies.
    1 hr 17 min
  • Episode 67: Model Observability, AI Bias, and ML Infrastructure Ecosystem with Aparna Dhinakaran
    Aparna Dhinakaran is the Chief Product Officer at Arize AI, a startup focused on ML Observability. She was previously an ML engineer at Uber, Apple, and TubeMogul (acquired by Adobe). During her time at Uber, she built several core ML Infrastructure platforms, including Michelangelo. She has a bachelor's from Berkeley's Electrical Engineering and Computer Science program, where she published research with Berkeley's AI Research group. She is on a leave of absence from the Computer Vision Ph.D. program at Cornell University.
    49 min

About Datacast

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Datacast follows the narrative journey of founders, operators, and investors in the data and AI infrastructure space to unpack the careers that they have built. James Le hosts the show.