PODCAST · technology
Datacast
by James Le
Datacast follows the narrative journey of data practitioners and researchers to unpack the career lessons they learned along the way. James Le hosts the show. datacast.substack.com
Episodes
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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. 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…
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Episode 132: Big Data Engineering, Data Culture from First Principles, and Reimagined Metadata with Suresh Srinivas
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…
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Episode 130: Towards Accessible Data Analysis with Emanuel Zgraggen
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...
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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. 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...
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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. 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,...
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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 ecosystem. She is passionate about delivering innovative solutions and business models that improve business outcomes and drive revenue growth. She...
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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. 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…
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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 in their San Francisco office, where he primarily focuses on early-stage investments in developer platforms, data products, and software infrastructure. He has been involved with Bessemer’s investments, including Prefect, Coiled, Arcion,...
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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. He is on the boards of Huntress, JumpCloud, StarTree, Tetrate, Upytcs, and Zesty. For his work, Insider listed Casber as an Enterprise VC Rising Star Investor and as an...
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Episode 123: AI Monitoring, Product-Oriented Data Science, and the Israeli ML community with Itai Bar Sinai
With over 10 years of experience (Google, AI-focused startups) with big data and as the Chief Product Officer and co-founder at Mona, the leading AI monitoring intelligence company, Itai has a unique view of the AI industry. Working closely with data science and ML teams applying dozens of...
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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 metrics. She is also the co-founder of Data Culture, a data engineering and visualization consultancy. Previously Gabi led data visualization…
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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 workloads. He has spent his career immersed in deeply technical environments and is passionate about finding and building solutions to the challenges...
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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. As the 4th data scientist at Airbnb and an early data scientist at companies like Webflow, Chetan has been focused on the maturity curve of growth-stage companies...
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Episode 119: Experimentation Culture, Immutable Data Warehouse, The Data Collaboration Problem, and The Rise of Data Contracts with Chad Sanderson
Chad Sanderson was the Product Lead for Convoy's Data Platform team, which includes the data warehouse, streaming, BI & visualization, experimentation, machine learning, and data discovery. Previously he worked on Microsoft's AI Platform team and led Data initiatives at SEPHORA and Subway. He has...
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Episode 118: Overcoming Hardships, Confident Learning, Dataset Improvement, and The Ph.D. Rapper with Curtis Northcutt
Curtis Northcutt is an American computer scientist and entrepreneur focusing on AI to empower people. He is the CEO and Co-Founder of Cleanlab, building next-generation data-centric AI and open-source technologies that enable AI to work with real-world, messy data. He completed his Ph.D. at MIT,...
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Episode 117: Vector Databases, The Embeddings Revolution, and Working in China with Frank Liu
Frank Liu is the Director of Operations at Zilliz with nearly a decade of industry experience in machine learning and hardware engineering. Prior to joining Zilliz, Frank co-founded an IoT startup based in Shanghai and worked as a ML Software Engineer at Yahoo in San Francisco. He presents at…
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Episode 116: Distributed Databases, Open-Source Standards, and Streaming Data Lakehouse with Vinoth Chandar
Vinoth Chandar is the creator and PMC chair of the Apache Hudi project, a seasoned distributed systems/database engineer, and a dedicated entrepreneur. He has deep experience with databases, distributed systems, and data systems at the planet scale, strengthened through his work at Oracle,...
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Episode 115: Product-Led Sales, Community-Led Category Creation, and Unlocking Revenue Data with Alexa Grabell
Alexa Grabell is the co-founder and CEO of Pocus, a Revenue Data platform that is purpose-built for GTM teams to analyze, visualize, and action data about their prospects and customers without needing engineers. Alexa’s passion for Product-Led Sales started when she led sales strategy &…
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Episode 114: Building Data Products and Unlocking Data Insights with Carlos Aguilar
Carlos Aguilar is the Founder and CEO of Glean, a data visualization company based in New York City. He grew up in Washington, DC, where he started tinkering with robots and websites early on and fell in love with the intersection of art and technology. At Cornell, he studied Mechanical…
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Episode 113: Data Applications, Real-Time Analytics, and Cloud Product Management with Shruti Bhat
Shruti Bhat leads product management and marketing at Rockset. Before Rockset, she led Product Management for Oracle Cloud, focusing on AI, IoT, and Blockchain. Previously, she was the VP of Marketing at Ravello Systems, where she drove the start-up's rapid growth from pre-launch to hundreds of...
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Episode 112: Distributed Systems Research, The Philosophy of Computational Complexity, and Modern Streaming Database with Arjun Narayan
Arjun Narayan is the co-founder and CEO of Materialize. Materialize is a streaming database for real-time applications and analytics, built on top of a next generation stream processor – Timely Dataflow. He was previously an engineer at Cockroach Labs and holds a Ph.D in Computer Science from the...
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Episode 111: Astrophysics, Visualization Recommendation, and Scalable Data Science with Doris Lee
Doris Lee is the co-founder and CEO of Ponder, a startup delivering scalable, enterprise-ready pandas that improve the productivity of data teams. She graduated with her Ph.D. from UC Berkeley RISE Lab in 2021, where she developed data science tools to accelerate insight discovery. This is a…
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Episode 110: Wisdom in Building Data Infrastructure, Lessons From Open-Source Development, The Missing README, and The Future of Data Engineering with Chris Riccomini
Chris Riccomini is an engineer, author, investor, and advisor. He has worked on infrastructure as an engineer and manager for about 15 years at PayPal, LinkedIn, and WePay. He was involved in open source as the original author of Apache Samza and an early contributor to Apache Airflow. He has…
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Episode 109: Developer Productivity, Real-Time Data Infrastructure, and The Fat-Tailed Nature of Enterprise Software with Nnamdi Iregbulem
Nnamdi Iregbulem is a Partner at Lightspeed Venture Partners. His mission is to increase total software output by supporting entrepreneurs building technical tools for technical people. He focuses on investments in technical enterprise software such as developer tools, application infrastructure,...
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Episode 107: Investing At The Nexus of Computational Sciences with Grace Isford
Grace Isford is a Partner based in Lux Capital's New York City office, where she invests in companies innovating at the nexus of the computational sciences – data, AI and ML infrastructure, network and compute infrastructure and cutting edge technological applications especially in healthcare and...
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Episode 106: Advancing AI Adoption with Dânia Meira
Dânia Meira has been a senior expert and mathematician in the data field since 2012, with a Data Science career in Berlin startups where her work focused on ML for predictive analytics. She is also an experienced teacher and mentor. Dânia is the Director of #datalift and a Founding Member of the…
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Episode 105: Building The Next-Generation Spreadsheet, Being A Curious Analyst, and Engineering Entrepreneurship with Bobby Pinero
Bobby Pinero is the CEO and Co-Founder of Equals, a next-generation spreadsheet. He has worked in Finance, Analytics, and Data generally for the last few years. Previously he was the head of Finance and early employee number 8 at Intercom. This is a public episode. If you'd like to discuss this...
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Episode 104: Streamlining Machine Learning In Production with Ran Romano
Ran Romano is the co-founder and VP of Engineering at Qwak, where he is focused on building the next-generation ML infrastructure for ML teams of various sizes. Before Qwak, Ran led the Data and ML engineering groups at Wix.com - where he built Wix's internal ML Platform. Previous to that, he was…
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Episode 102: Early-Stage Investing, Modern Venture Capital, and Trends in Enterprise Infrastructure with Astasia Myers
Astasia Myers is a Partner on Quiet Capital's enterprise team leading investments in ML, data infrastructure, open-source, developer tools, and security. She focuses on pre-seed, seed, and Series A. Prior to joining Quiet, Astasia was an investor in Redpoint's early-stage enterprise team, where…
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Episode 103: Computational Economics, Statistical Arbitrage, and Adaptable Data Consolidation with Eric Daimler
Dr. Eric Daimler is an authority in Artificial Intelligence with over 20 years of experience in the field as an entrepreneur, executive, investor, technologist, and policy advisor. Eric has co-founded six technology companies that have done pioneering work in areas ranging from software systems…
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Episode 101: Scaling Data Engineering, Building Data Teams, and Managed Data Stack with Tarush Aggarwal
Tarush Aggarwal is one of the leading experts in leveraging data for exponential growth, with over ten years of experience in the field. After graduating with a degree in Computer Engineering from Carnegie Mellon in 2011, he became the first data engineer on the analytics team at Salesforce.com....
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Episode 88: Sales Engineering and Future of Work with Evan Cummack
Show Notes (02:00) Evan shared his upbringing, born and raised in a small coastal town on New Zealand’s North Island and later studied Software Engineering and Business. (03:55) Evan recalled working as a software solution architect at NEC Corporation back in New Zealand. (06:17) Evan talked…
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Episode 87: Product Experimentation, ML Platforms, and Metrics Store with Nick Handel
Show Notes (01:51) Nick shared his formative experiences of her childhood — moving between different schools, becoming interested in Math, and graduating from UCLA at the age of 19. (05:45) Nick recalled working as a quant analyst focused on emerging market debt at BlackRock. (09:57) Nick went…
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Episode 86: Risk Management, Open-Source Governance, and Negative Engineering with Jeremiah Lowin
Show Notes (01:29) Jeremiah reflected on his academic interest studying Statistics and Economics at Harvard. (05:33) Jeremiah recalled his four years as a market risk manager at King Street Capital Management. (07:18) Jeremiah explained how the training in risk management has made a huge impact…
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Episode 85: Ad Exchange, Stream Processing, and Data Discovery Platform with Shinji Kim
Show Notes (02:00) Shinji reflected on her academic experience studying Software Engineering at the University of Waterloo in the late 2000s. (04:19) Shinji shared valuable lessons learned from her undergraduate co-op experience with statistical analysis at Sun Microsystems, software engineering…
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Episode 84: Business Development and Customer Success for Emerging Technologies with Taimur Rashid
Show Notes (02:27) Taimur reflected on his education studying Computer Science at UT Austin in the early 2000s. (06:26) Taimur recalled his first job working as a quality assurance engineer at Vignette. (08:47) Taimur went through his time with Oracle / Siebel, where he transitioned from a purely...
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Episode 83: Startup Scrappiness, Venture Matchmaking, and Thinking In Bets with Leigh-Marie Braswell
Show Notes (01:43) Leigh-Marie shared her formative experiences of her childhood — growing up in Alabama, solving math problems competitively, and going to Phillips Exeter Academy. (04:21) Leigh-Marie discussed her undergraduate experience at MIT studying Math with Computer Science. (06:41)...
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Episode 82: Enabling AI-Powered AR Navigation For Driving with Chen-Ping Yu
Show Notes (01:47) Chen-Ping shared his upbringing growing up in Taiwan and going to boarding school in the US at the age of 14. (04:42) Chen-Ping got his Bachelor’s and Master’s degrees in Computer Science from RIT back in the early-to-mid 2000, in which he did academic research in computational...
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Episode 81: Research, Engineering, and Product in Machine Learning with Aarti Bagul
Timestamps (02:00) Aarti shared her upbringing growing up in India and going to New York for undergraduate. (04:47) Aarti recalled her academic experience getting dual degrees in Computer Science and Computer Engineering at New York University. (07:17) Aarti shared details about her involvement...
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Episode 80: Creating The Sense of Sight with Alberto Rizzoli
Timestamps (02:14) Alberto briefly shared his upbringing and education at the Bayes Business School in London. (04:01) Alberto shared key learnings from his first entrepreneurial stint at 19 by developing a 3D printing product for ed-tech. (07:48) Alberto described his overall experience...
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Episode 79: Analytics Culture, Digital Contracting, and Data Angels with Jessica Cherny
Timestamps (01:55) Jessica shared the formative experiences of her upbringing — being born in a triplet with two other sisters and growing up in an immigrant family from Russia. (05:45) Jessica shared her experience being part of UC Berkeley’s first cohort of Data Science majors. (09:56) Jessica...
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Episode 78: Open-Source Investing and Data Product Management with Julia Schottenstein
Timestamps (01:40) Julia shared the differences growing up in New York and moving to San Francisco. (03:05) Julia discussed her overall undergraduate experience at Stanford — getting dual degrees in Computer Science and Management Science & Engineering_._ (05:40) Julia went over her time as an...
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Episode 77: Delivering Modern Data Engineering with Einat Orr
Timestamps (1:33) Einat described her experience getting Bachelor’s, Master’s, and Ph.D. degrees in Mathematics from Tel Aviv University in the 90s and early 2000s. (4:01) Einat went over her Ph.D. thesis on approximation algorithms for clustering problems. (6:17) Einat discussed working as an...
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Episode 76: Modern Data Collaboration and Social Entrepreneurship with Prukalpa Sankar
Timestamps (02:13) Prukalpa discussed her upbringing in India and studying Engineering at the Nanyang Tech University in Singapore. (03:52) Prukalpa shared the key learnings from her summer internship as an Investment Banking Analyst at Goldman Sachs. (05:37) Prukalpa went over the seed idea for...
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Episode 75: Commoditizing Data Integration Pipelines with Michel Tricot
Timestamps (01:58) Michel went over his education studying at EPITA — School of Engineering and Computer Science in France. (03:50) Michel mentioned his first US internship at Siemens Corporate Research as an R&D engineer. (05:48) Michel discussed the unique challenges of building systems to…
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Episode 74: The Next Generation of Business Intelligence with Cindi Howson
Timestamps (02:03) Cindi briefly shared her early interest in writing and her decision to major in English at the University of Maryland in the mid-80s. (05:22) Cindi talked about her move to Zurich for a Business Systems Specialist role at Dow Chemical. (07:35) Cindi recalled the state of…
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Episode 73: Datasets for Software 2.0 with Taivo Pungas
Timestamps (01:30) Taivo shared briefly about his experience going through the Estonian K-12 system, as argued in his blog post written in Estonian. (05:34) Taivo described his undergraduate experience studying Computer Science at the University of Tartu and exposing to Machine Learning. (08:15)...
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Episode 72: Folding Data with Gleb Mezhanskiy
Timestamps (01:42) Gleb shared briefly about his upbringing and studying Economics in university in Russia. (04:15) Gleb discussed his move to the US to pursue a Master of Information Systems Management at Carnegie Mellon University. (07:07) Gleb went over his summer internship as a Business...
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Episode 71: Trusted AI with Saishruthi Swaminathan
Timestamps (01:59) Saishruthi talked about her upbringing, growing up in a rural town in India with no Internet connection and no computers. (05:50) Saishruthi discussed her undergraduate studying Electrical Engineering at Sri Sairam Engineering College in the early 2010s. (11:56) Saishruthi...
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Episode 70: Machine Learning Testing with Mohamed Elgendy
Timestamps (01:44) Mohamed described his interest growing up in Egypt and studying Biomedical Engineering at Cairo University in the early 2000s. (04:22) Mohamed commented on his experience moving to the US to pursue an MBA degree and working in various software engineering roles. (07:35) Mohamed...
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ABOUT THIS SHOW
Datacast follows the narrative journey of data practitioners and researchers to unpack the career lessons they learned along the way. James Le hosts the show.
datacast.substack.com
HOSTED BY
James Le
CATEGORIES
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How many episodes does Datacast have?
Datacast currently has 119 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is Datacast about?
Datacast follows the narrative journey of data practitioners and researchers to unpack the career lessons they learned along the way. James Le hosts the show. datacast.substack.com
How often does Datacast release new episodes?
Datacast publishes regularly with 119 episodes available. Check the episode list for the typical release schedule.
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You can listen to Datacast on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts Datacast?
Datacast is created and hosted by James Le.
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