FINOS Open Source in Finance Podcast

The FINOS Open Source in Finance Podcast celebrates open source projects and interesting topics at the cross section of financial services and open source. So far, our industry experts have discussed practical applications of and their real-world experiences with a range of open source projects including desktop interoperability, low code platforms, synthetic data, and data modeling. They’ve also discussed best practices for inner source, common myths about open source and why commercial companies choose to introduce open source offerings. Tune in to hear what comes next.

FINOS Open Source in Finance Podcast is a technology podcast hosted by FINOS, with 150 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

FINOS hosts FINOS Open Source in Finance Podcast, a technology show with 150 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  FINOS Open Source in Finance Podcast

  [OSFF Panel] Can Open Data Solve Financial Data Pain Points?

  Sep 15, 202637 min

  In this episode of the Open Source in Finance Podcast, host Grizz Griswold introduces an expert OSFF panel moderated by Hilary Carter (Linux Foundation) featuring Jose Plehn (Bright Query / open-data.org), Nora Anwar (Overture Maps Foundation), and Jane Gavronsky (FINOS COO). The panelists explore why financial services urgently need a shared open data commons to eliminate duplicate reference data maintenance, establish a universal entity graph across companies, people, and places, and ground AI models to prevent hallucinations. Catch Us in New York! Ready to explore open data, shared entity graphs, and collaborative open-source engineering? Join global financial technology leaders at OSFF New York on November 4–5, 2026.️ Register Now: https://hubs.ly/Q04n_bZL0 20% OFF DISCOUNT CODE: 26YTOSFFNY20C Timestamps:0:00 Podcast Intro with Grizz Griswold & Panel Setup1:34 Panelist Introductions: Bright Query, Overture Maps & FINOS3:45 Why Open Data Matters: Breaking Down Financial Data Silos5:00 The Vision of an Open Entity Graph: Companies, People & Places7:57 Governance & Community Scale: Cross-Referencing Master IDs11:06 Winners & Losers in the Open Data Landscape13:11 Financial Reference Data Pain Points: The "Light Switch" Analogy16:55 Crowdsourcing Entity Resolution & Identifier Mapping20:13 Overture Maps Origin Story: Meta, Microsoft, Amazon & TomTom Collaboration25:06 Geospatial Data Use Cases: From Insurance Risk to Fraud Detection29:10 Open Data for AI Grounding: Reducing LLM Hallucinations with RAG34:07 Success Metrics & How Financial Institutions Can Join The Problem: The "Light Switch" Reference Data Tax & Fragmented SilosRedundant Reference Data Maintenance: Financial institutions spend millions of dollars individually ingesting, cleaning, and enhancing identical vendor reference datasets just to keep basic systems operational. Entity Resolution & Identifier Disconnects: Mismatched entity IDs (LEIs, CUSIPs, ISINs, addresses) across disparate corporate databases create massive operational friction, slowing down KYC/KYB compliance, onboarding, and risk management. ️ The Solution: A Shared Open Data Commons & Global Entity GraphGlobal Reference & Entity Graph: Bright Query and open-data.org are establishing an open global directory covering over 400M companies, 1B people, and 200+ countries mapped with unique, permanent entity IDs. Overture Maps Collaboration Model: Following the proven Linux Foundation model of Overture Maps (founded by Meta, Microsoft, Amazon, and TomTom), competitors mutualize base data maintenance costs so teams can focus on proprietary innovation layers. Grounding AI & RAG Pipelines: Joining LLM knowledge graphs to deterministic open entity graphs drastically reduces hallucinations during AI training and inference, providing the verifiable data lineage required in regulated finance. ⚙️ Why This Matters for Financial Engineering Mutualizing Non-Competitive Costs: Crowdsourcing entity matching, validation rules, and cross-referencing tables removes the "thankless" overhead of reference data cleanup across buy-side and sell-side firms. Spatial & Corporate Context for AI Agents: Integrating open entity graphs with spatial systems (GERS IDs) gives AI agents accurate organizational and geographic awareness to automate risk assessment and site selection. More about FINOS: https://www.finos.org/ Join our newsletter: https://www.finos.org/sign-up ️ Listen to our Open Source in Finance Podcast: https://www.youtube.com/@FINOS/podcasts LinkedIn: https://www.linkedin.com/company/finosfoundation

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  FINOS Open Source in Finance Podcast

  [FINOS Zenith] Is Your Enterprise Ready for Spatial Computing? Christopher Fonte Breaks It Down

  Sep 11, 202645 min

  Learn how CustomerXR CTO Chris Fonte uses Spatial Computing, VisionOS & AI to revolutionize financial workflows & enterprise training. Christopher Fonte joins Peter Smulovics to explore how Extended Reality (XR) and Spatial Computing are transitioning from consumer gaming into enterprise financial applications. Discover how immersive training models slash operational costs and knowledge retention gaps, while pass-through spatial hardware expands desktop multi-screen real estate. Learn how combining spatial interfaces (VisionOS, Horizon OS) with Generative AI enables 3D market visualizations and collaborative wealth management advisory. Episode Chapters 00:00 - Welcome & Guest Intro: Chris Fonte’s 10-Year XR Journey 02:08 - Why Enterprise Needs XR: Immersive Procedural Training & Retention 04:05 - Immersive Security Training: Gamifying Artifact Discovery in VR 06:01 - VR to Mixed Reality Evolution: Passthrough vs See-Through Lenses 08:08 - Meta Connect Predictions & Next-Gen Spatial Hardware Form Factors 09:20 - Pass-Through Hardware Debates: Compute Pucks vs Integrated Lenses 12:12 - Multi-Screen Real Estate: Spatial Workspaces for First-Line Workers 16:21 - Next-Gen Spatial UX: Eye Tracking, Hand Tracking & Smart Rings 18:28 - HoloLens Architectural Lessons & Apple VisionOS Spatial Personas 22:36 - Real-World Spatial Apps: CAD Ingestion & Lighting Inference Engine 25:42 - Spatial Computing in Finance: 3D Market Data & Wealth Advisory 29:25 - Generational Technology Adoption: Gen Z Intuitive Spatial Interfaces 33:09 - Audience Q&A: Carrier Hardware Financing, Mass Adoption & Pricing Links Register for OSFF New York (20% OFF Code 26YTOSFFNY20C): https://hubs.ly/Q04n_bZL0

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  FINOS Open Source in Finance Podcast

  Building a World-Class OSPO: Lessons from the Financial Industry

  Sep 10, 202636 min

  On this episode of the Open Source in Finance Podcast, host Rob Moffat (Chief Architect at FINOS) is joined by an executive panel featuring Mimi Flynn (Vice President & Open Source Developer Advocate at Morgan Stanley), Elspeth Minty (Managing Director at RBC Capital Markets), and Mark Paulsen (Head of Open Source Program Office at TD Bank). Together, they explore the operational realities of open-source adoption in regulated banking. The panel breaks down the hidden costs and security risks of internal code forking, strategies for measuring OSPO Return on Investment (ROI), automated contribution controls via GitProxy, and how to prepare engineering teams for the convergence of open source, rising global regulations, and generative AI. Catch Us in New York! Ready to scale your Open Source Program Office (OSPO), mitigate supply chain risks, and streamline enterprise contribution workflows? Join us at OSFF New York on November 4–5, 2026.️ Register Now: https://hubs.ly/Q04n_bZL0 20% OFF DISCOUNT CODE: 26YTOSFFNY20C The Problem: The Hidden Trap of Internal Code Forks & Governance DragRegulated financial institutions face exponential increases in regulatory oversight, open-source dependency trees, and CVE vulnerabilities. When engineering teams bypass contribution approvals by creating private internal code forks, they incur severe technical debt, untracked security risks (such as missing upstream CVE patches), and long-term maintenance overhead. ️ The Solution: Enterprise OSPOs, GitProxy & Standardized Maturity ModelsThe panel details how financial institutions build mature OSPOs using FINOS Open Source Readiness (OSR) frameworks: Developer Training & Maturity Roadmaps: Mandating foundational developer training (such as Linux Foundation’s FSOSD) to educate engineers on licensing, IP, and risk management. Automated Guardrails (GitProxy): Implementing automated commit controls at push time to screen outgoing code for secrets, proprietary logic, and licensing compliance without disrupting developer velocity. Standardized Maturity Benchmarks: Utilizing the FINOS OSR Maturity Model as a competitive roadmap to transition from passive software consumption to active open-source sponsorship and code contribution. ⚙️ Why This Matters for Financial EngineeringMeasuring True ROI: Demonstrating OSPO value through hard metrics (Evident AI indicators) alongside soft metrics like recruiting appeal, developer career progression, and talent retention. Collaborative Industry Security: Mutualizing open-source governance tools allows banks to solve shared compliance challenges together rather than re-inventing the wheel in isolation. More about FINOS: https://www.finos.org/ Join our newsletter: https://www.finos.org/sign-up️ Listen to our Open Source in Finance Podcast: https://www.youtube.com/@FINOS/podcastsLinkedIn: https://www.linkedin.com/company/finosfoundation

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  FINOS Open Source in Finance Podcast

  Open Data vs. Open Source: Scaling Spatial Metadata & AI Workflows | Amy Rose

  Sep 2, 202645 min

  Amy Rose (CTO of the Overture Maps Foundation) joins the podcast to explore the structural differences between open-source software and open data. Amy breaks down how Overture—founded by AWS, Meta, Microsoft, and TomTom—builds interoperable global map layers, resolves complex entity definitions across disparate datasets, and why modern agentic AI workflows require record-level metadata rather than dataset-level summaries. Catch Us in New York! Ready to explore open data, high-performance computing, and enterprise AI architecture? Join us at OSFF New York on November 4–5, 2026.️ Register Now: https://hubs.ly/Q04n_bZL0 20% OFF DISCOUNT CODE: 26YTOSFFNY20C Timestamps:4:36 Interview Start: Amy Rose & The Overture Maps Foundation6:43 From Landscape Architecture to GIS: Amy's Career Journey11:05 Real-World Geo Applications: Transportation, Disaster Recovery & Oak Ridge Lab14:02 What is Overture Maps? Building Interoperable Global Map Data15:38 Open Source Software vs. Open Source Data17:13 Defining High-Quality Data: Fitness for Purpose & Use Cases18:39 Case Study: Built Environment Mapping & Entity Resolution24:05 Why Agentic AI Workflows Require Record-Level Metadata29:45 The Monthly Release Engine: GERS IDs, Bridge Files & Change Logs34:08 Solving Spatial Interoperability: Geometric Joins & Entity Matching42:05 The Future: Native Location Integration in Enterprise AI The Problem: The Open Data Lineage & Interoperability ChallengeUnlike open-source software—where source code acts as a single point of truth—open data requires merging disparate, opinionated input sources with varying licenses, coordinate systems, and quality levels. Traditional dataset-level metadata fails when applied to autonomous systems or agentic AI workflows, which parse and combine individual records rather than entire tables. Furthermore, performing spatial joins and resolving duplicate entities across different municipal or corporate datasets creates massive computational and manual overhead. ️ The Solution: Overture's GERS Infrastructure & Record-Level MetadataAmy Rose outlines how Overture Maps standardizes global spatial data: Global Entity Reference System (GERS): Assigning persistent, canonical GERS IDs to physical entities (buildings, places, roads) to maintain lineage and bridge external datasets (e.g., Esri, Meta, Microsoft, Google). Record-Level Provenance: Embedding metadata (source, license, transformation steps, coordinate reference frames) directly into individual records rather than appending summary text at the dataset level. Monthly Aggregated Releases: Distributing prepackaged monthly releases alongside bridge files and change logs, allowing downstream consumers to verify fitness for purpose in navigation, logistics, or risk modeling. ⚙️ Why This Matters for Financial & Technical ArchitectureVerifiable Risk & Asset Modeling: Provides clean, open spatial foundations for underwriting flood risk, supply chain logistics, ESG impact, and real estate valuation without expensive manual data wrangling. Trusted AI Agent Evidence: Equips AI models and automated agents with explicit record-level evidence, making spatial queries verifiable and reproducible. More about FINOS: https://www.finos.org/ Join our newsletter: https://www.finos.org/sign-up ️ Listen to our Open Source in Finance Podcast: https://www.youtube.com/@FINOS/podcasts LinkedIn: https://www.linkedin.com/company/finosfoundation#FINOS #OSFFNewYork #OvertureMaps #OpenData #GIS #Metadata #AgenticAI #DataEngineering #SpatialData

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  FINOS Open Source in Finance Podcast

  Oxymoron or Match Made in Heaven? Innovation Under Regulation | Dr. Aditya Kashyap

  Aug 28, 202646 min

  Is operating under strict financial regulation an innovation killer or its greatest catalyst? Host Peter Smulovics (Distinguished Engineer at Morgan Stanley and FINOS Zenith Lead) sits down with Dr. Aditya Vikram Kashyap (FINOS Ambassador, IEEE Senior Member, and Forbes Technology Council member) for an insightful episode of the Open Source in Finance Podcast from the FINOS Zenith Special Interest Group. Innovation and regulation are often portrayed as opposing forces: innovation wants speed and freedom, while regulation introduces constraints and controls. But in financial services, and increasingly with AI, the reality is much more complicated. Good governance can actually make innovation possible at scale, while bad governance can become its own source of risk.Together Dr. Kashyap and Peter challenge the narrative that speed and control are opposing forces. Dr. Kashyap breaks down how regulatory frameworks like model risk management (SR 11-7) and NIST post-quantum cryptography (PQC) standards force architectural clarity, why the "cost of delay" is the most under-managed enterprise risk, and how to structure continuous governance for agentic AI fleets. Catch Host Peter Smulovics Live in New York! Ready to navigate enterprise AI governance, post-quantum migration, and open-source standards? Join Peter Smulovics and global finance leaders at OSFF New York on November 4–5, 2026.️ Register Now: https://hubs.ly/Q04n_bZL0 20% OFF DISCOUNT CODE: 26YTOSFFNY20C The Problem: The "Cost of Delay" & End-Gate Approval FlawsMost regulated enterprises fail to quantify the risk of standing still. While risk matrices track the downside of deploying new technology, they completely ignore the cost of delay—leading organizations into a false sense of security while their innovation cycles stall. Furthermore, traditional Software Development Life Cycle (SDLC) models place risk, legal, and compliance teams at the end of the development pipeline as an "approval gate". By the time a finished prototype reaches reviewers, every decision (to approve, reject, or send back for rework) is catastrophically expensive. ️ The Solution: Embedded Governance & Machine IdentitiesDr. Aditya Kashyap outlines how financial institutions can transform governance into an operational engine: Embedding Risk from Day One: Shifting compliance, legal, and cybersecurity teams from external gatekeepers to active core members of the innovation team during initial design. "Accountability Follows Authority": Ensuring human oversight remains legally bound to system outputs while assigning distinct machine identities and permissions to autonomous AI agents interacting across multi-model ecosystems. Goodhart's Law & Production Metrics: Replacing vanity metrics (patent counts, hackathons) with actionable indicators: pilot-to-production conversion rates, cycle-time splits, decommissioning velocity, and time-to-fault detection. ⚙️ Why This Matters for Financial EngineeringSR 11-7 & PQC Preparation: Early adoption of model risk management and NIST post-quantum cryptography standards builds the exact architectural inventory required to safely scale generative AI and quantum-resilient infrastructure. Standards as Lasting Power: Establishing open, transparent industry standards through foundations like FINOS prevents regulatory capture and creates common baselines that compound value across global financial markets for decades. More about FINOS: https://www.finos.org/ Join our newsletter: https://www.finos.org/sign-up️ Listen to our Open Source in Finance Podcast: https://www.youtube.com/@FINOS/podcastsLinkedIn: https://www.linkedin.com/company/finosfoundation

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