Datacast Podcast Por James Le arte de portada

Datacast

Datacast

De: James Le
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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.James Le
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
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