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Artwork for Rapid Synthesis: Delivered under 30 mins..ish, or it's on me!

Rapid Synthesis: Delivered under 30 mins..ish, or it's on me!

Benjamin Alloul 🗪 🅽🅾🆃🅴🅱🅾🅾🅺🅻🅼
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This podcast series serves as my personal, on-the-go learning notebook. It's a space where I share my syntheses and explorations of artificial intelligence topics, among other subjects. These episodes are produced using Google NotebookLM, a tool readily available to anyone, so the process isn't unique to me.
Top 20.9% by pitch volume (Rank #10438 of 50,000)Data updated Feb 10, 2026

Key Facts

Publishes
Bi-weekly
Episodes
202
Founded
N/A
Category
Technology
Number of listeners
Private
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Public snapshot
Audience: Under 4K / month
Canonical: https://podpitch.com/podcasts/rapid-synthesis-delivered-under-30-mins-ish-or-it-s-on-me
Cadence: Active monthly
Reply rate: Under 2%

Latest Episodes

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The Universal Data Layer: Apache Iceberg as the Foundation for Agentic AI and Interoperability

Thu Feb 05 2026

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Source: https://medium.com/workday-engineering/facing-data-fragmentation-and-high-costs-large-organizations-require-an-universal-data-layer-b984a82decb5 Author: Phoenix MajumderThis article explores how Apache Iceberg serves as a Universal Data Layer to solve the problem of data fragmentation in large enterprises. By decoupling storage from compute, this open-source table format provides unparalleled interoperability across various processing engines while maintaining ACID compliance. The text highlights that Iceberg is uniquely suited for Agentic AI and Multi-Agent Systems, acting as a persistent memory and state synchronization layer for autonomous software. Through the example of Workday’s technology stack, the author illustrates a three-pronged strategy involving pipeline standardization, governance integration, and compute decoupling. Ultimately, the source positions Iceberg as a critical foundation for intelligent automation and reliable, real-time data access.

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Source: https://medium.com/workday-engineering/facing-data-fragmentation-and-high-costs-large-organizations-require-an-universal-data-layer-b984a82decb5 Author: Phoenix MajumderThis article explores how Apache Iceberg serves as a Universal Data Layer to solve the problem of data fragmentation in large enterprises. By decoupling storage from compute, this open-source table format provides unparalleled interoperability across various processing engines while maintaining ACID compliance. The text highlights that Iceberg is uniquely suited for Agentic AI and Multi-Agent Systems, acting as a persistent memory and state synchronization layer for autonomous software. Through the example of Workday’s technology stack, the author illustrates a three-pronged strategy involving pipeline standardization, governance integration, and compute decoupling. Ultimately, the source positions Iceberg as a critical foundation for intelligent automation and reliable, real-time data access.

Key Metrics

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Pitches sent
30
From PodPitch users
Rank
#10438
Top 20.9% by pitch volume (Rank #10438 of 50,000)
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Reviews
N/A
Written reviews (when available)
Publish cadence
Bi-weekly
Active monthly
Episode count
202
Data updated
Feb 10, 2026
Social followers
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Public Snapshot

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TechnologyPodcasts
Country
United States
Language
English
Language (ISO)
Release cadence
Bi-weekly
Latest episode date
Thu Feb 05 2026

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Audience range
Under 4K / month
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Reply rate band
Under 2%
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Contact available
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Monthly listeners49,360
Reply rate18.2%
Avg response4.1 days
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Frequently Asked Questions About Rapid Synthesis: Delivered under 30 mins..ish, or it's on me!

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What is Rapid Synthesis: Delivered under 30 mins..ish, or it's on me! about?

This podcast series serves as my personal, on-the-go learning notebook. It's a space where I share my syntheses and explorations of artificial intelligence topics, among other subjects. These episodes are produced using Google NotebookLM, a tool readily available to anyone, so the process isn't unique to me.

How often does Rapid Synthesis: Delivered under 30 mins..ish, or it's on me! publish new episodes?

Bi-weekly

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