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1:07:29
Episode 133: Full Data Stack Observability with Salma Bakouk
Salma Bakouk is the CEO and co-founder of Sifflet, a Full Data Stack Observability platform.
 • 
James Le
1:02:01
Episode 132: Big Data Engineering, Data Culture from First Principles, and Reimagined Metadata with Suresh Srinivas
Suresh Srinivas is leading the OpenMetadata Project to build Metadata APIs & specifications and a single place to discover, collaborate, and get your…
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James Le
1:21:27
Episode 131: Data Infrastructure for Consumer Platforms, Algorithmic Governance, and Responsible AI with Krishna Gade
Listen now | Krishna Gade is the founder and CEO of Fiddler AI, an AI Observability startup that helps AI-forward organizations build trusted AI…
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James Le
54:05
Episode 130: Towards Accessible Data Analysis with Emanuel Zgraggen
Emanuel Zgraggen is the Co-Founder and CEO of Einblick, a visual computing platform for modern data analysis.
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James Le
1:02:29
Episode 129: Early-Stage Product Management, Product-Led Revenue, and Startup Monologues with Diana Hsieh
Diana Hsieh is the Head of Product and Co-Founder at Correlated
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James Le
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Episode 130: Towards Accessible Data Analysis with Emanuel Zgraggen
 • James Le
Episode 131: Data Infrastructure for Consumer Platforms, Algorithmic Governance, and Responsible AI with Krishna Gade
 • James Le
Episode 129: Early-Stage Product Management, Product-Led Revenue, and Startup Monologues with Diana Hsieh
 • James Le
Episode 122: The Evolution of Data Visualization, Scaling Data Culture, and The Future of Data Transformation with Gabi Steele
 • James Le
56:12
Episode 128: Building Trust with Founders, VC Funding For The Cloud, and The Next Platform For Data Apps with Jason Risch
Jason Risch is an investor on the enterprise team at Greylock - investing in security, AI/ML, data, infrastructure, and developer tools.
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James Le
1:01:01
Episode 127: Data Intelligence for Insurance Transformation with Heather Wentworth
Heather Wentworth is the Chief Data Officer of Accelerant, an MGA-enabling insurtech focused on improving how risk is exchanged across the insurance…
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James Le
1:21:23
Episode 126: Vector Search Engine, Building An Open-Source Business, and Digital Technology Through The Lens of Language with Bob Van Luijt
Bob Van Luijt is the CEO and co-founder of Weaviate, the business created around the open-source vector database Weaviate.
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James Le
1:02:24
Episode 125: The Next Wave of Developer Platforms, Data Products, and Software Infrastructure with Sakib Dadi
Sakib Dadi is a vice president at Bessemer Venture Partners, where he primarily focuses on early-stage investments in developer platforms, data…
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James Le
1:12:40
Episode 124: The Open-Source Cloud Playbook, The Modular Future of Data and AI Infrastructure, and Meta-Learning as a VC with Casber Wang
Casber Wang is Partner at Sapphire Ventures. He focuses primarily on security, enterprise infrastructure, and data analytics.
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James Le
1:16:32
Episode 123: AI Monitoring, Product-Oriented Data Science, and the Israeli ML community with Itai Bar Sinai
Itai is the Chief Product Officer and co-founder at Mona, the leading AI monitoring intelligence company.
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James Le
1:06:44
Episode 122: The Evolution of Data Visualization, Scaling Data Culture, and The Future of Data Transformation with Gabi Steele
Gabi Steele is the co-founder and co-CEO of Preql, a no-code data transformation tool that empowers business users to model and manage their own…
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James Le
1:35:54
Episode 121: High-Performance Processing Engine, Modern Data Streaming, and Propelling Minority in Tech with Alex Gallego
Alexander Gallego is the founder and CEO of Redpanda Data, a high-performance, Apache Kafka-compatible data streaming platform for mission-critical…
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James Le
1:26:36
Episode 120: Next-Generation Experimentation, Statistics Engineering, and The Modern Growth Stack with Chetan Sharma
Chetan Sharma is the Founder & CEO of Eppo, a next-gen A/B experimentation platform that is designed to spur entrepreneurial culture.
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James Le
Datacast
Datacast
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.
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