Episodios

  • Episode 133: Full Data Stack Observability with Salma Bakouk

    Episode 133: Full Data Stack Observability with Salma Bakouk
    Feb 21 2024
    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.
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    1 h y 7 m
  • Episode 132: Big Data Engineering, Data Culture from First Principles, and Reimagined Metadata with Suresh Srinivas

    Episode 132: Big Data Engineering, Data Culture from First Principles, and Reimagined Metadata with Suresh Srinivas
    Feb 9 2024
    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.
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    1 h y 2 m
  • Episode 131: Data Infrastructure for Consumer Platforms, Algorithmic Governance, and Responsible AI with Krishna Gade

    Episode 131: Data Infrastructure for Consumer Platforms, Algorithmic Governance, and Responsible AI with Krishna Gade
    Jan 11 2024
    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.
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    1 h y 21 m
  • Episode 130: Towards Accessible Data Analysis with Emanuel Zgraggen

    Episode 130: Towards Accessible Data Analysis with Emanuel Zgraggen
    Nov 21 2023
    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.
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    54 m
  • Episode 129: Early-Stage Product Management, Product-Led Revenue, and Startup Monologues with Diana Hsieh

    Episode 129: Early-Stage Product Management, Product-Led Revenue, and Startup Monologues with Diana Hsieh
    Nov 16 2023
    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.
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    1 h y 2 m
  • Episode 128: Building Trust with Founders, VC Funding For The Cloud, and The Next Platform For Data Apps with Jason Risch

    Episode 128: Building Trust with Founders, VC Funding For The Cloud, and The Next Platform For Data Apps with Jason Risch
    Oct 28 2023
    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.
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    56 m
  • Episode 127: Data Intelligence for Insurance Transformation with Heather Wentworth

    Episode 127: Data Intelligence for Insurance Transformation with Heather Wentworth
    Oct 8 2023
    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.
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    1 h y 1 m
  • Episode 126: Vector Search Engine, Building An Open-Source Business, and Digital Technology Through The Lens of Language with Bob Van Luijt

    Episode 126: Vector Search Engine, Building An Open-Source Business, and Digital Technology Through The Lens of Language with Bob Van Luijt
    Sep 13 2023
    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.
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    1 h y 21 m