Watch this hands-on workshop featuring TabH2O, H2O.ai’s foundation model for tabular data, and see how teams can generate predictions from enterprise data faster without the complexity of traditional machine learning workflows.
In this practical session, Andreea Turcu demonstrates how TabH2O can help teams move from raw data to predictions in minutes and showcase real-world use cases across forecasting, customer analytics, fraud detection, and more.
OpenCV 5 is here, available now on opencv.org, and it has a whole host of major performance improvements. A big part of those improvements it he new-and-improved Hardware Abstraction Layer (HAL). OpenCV version 5 is the fastest version ever, especially on ARM, Qualcomm, and RISC-V chips. On this episode we’ll get into the details on how OpenCV 5 makes your code run faster than ever with OpenCV team members Gursimar and Abhishek.
OpenCV is a 501(c)(3) registered non-profit in the United States. See how you can support open source CV & AI: http://opencv.org/support/
Watch along for your chance to win during our live trivia segment, and participate in the live Q&A session with questions from you in the audience.
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In Cassandra 6, cursor-based companion reduces heap allocation and garbage collection overhead during compaction, a hugely important background process.
Build your own self-hosted AI copilot using 100% open source models and tools. In this hands-on session, you’ll learn how to deploy a private AI assistant that can securely answer questions about business, financial, or operational data—without sending data to external AI providers.
We’ll walk through containerizing an open source LLM, connecting it to a sample dataset, and exposing it through a simple API. Attendees will see a complete end-to-end implementation and gain practical experience with self-hosted AI, Retrieval-Augmented Generation (RAG), and production-ready deployment patterns.
Perfect for developers, DevOps engineers, and AI practitioners looking to build secure, open source AI applications with full data control.
FOSSASIA Summit 2026 held in Bangkok, is Asia’s leading Open Source tech conference featuring sessions on #AI, #Cloud, #DevOps, #Open Hardware, #Security, #Web #Mobile Technologies, #Web3, and #Databases. Learn more: http://summit.fossasia.org
Video by CNCF [Cloud Native Computing Foundation] via YouTube
This is what KubeCon + CloudNativeCon looks like when you take insights back to your team.
Samia Khan, AWS DevOps Engineer, shares how the conference sparked an article on gen AI workloads and a roadmap for using Argo CD and Argo Workflows in her team’s production workflows.
Coding agents are writing more Python than ever, but in large projects, generated code is prone to type errors. In this video, we walk through a few tips for getting your agent to use Pyrefly so that every piece of generated code gets type checked automatically.
In this video we cover two approaches:
1️⃣ Agent Skills – Set up skill files and AGENTS.md directives so your agent knows to run pyrefly check before finishing any task.
2️⃣ CLI Hooks – Configure hooks on the Stop event so type checking runs every time the agent completes a task, with no manual prompting required.
Type checking is in the sweet spot for agents: it’s fast enough to iterate on, robust enough to catch real issues, and actionable enough for an agent to fix on its own.
🔗 Links & Resources:
get started with pyrefly: pip install pyrefly
Pyrefly website: https://pyrefly.org
Blog post (full walkthrough with code examples): https://pyrefly.org/blog/pyrefly-agentic-loop/
Grizz Griswold (Executive Producer of Global Programs & Content at FINOS) kicks off Season 6 of the Open Source in Finance Podcast with an absolute masterclass preview of OSFF London 2026. Discover how the global financial industry is shifting its focus from basic LLM experimentation to production-grade agentic safety, deterministic workflows, and cross-hyperscaler cloud controls.
🎟️ FINOS Members: Claim your FREE pass before the benefit window closes! Email: osff@finos.org 🔥 Non-Members: Save 20% off your registration pass using code OSFFLondonLF20.
🕒 Timestamps:
0:00 Season Six Kickoff & Global Event Roadmap
0:50 Member Ticket PSA: Claiming Your Corporate Benefits
2:15 Thank You to Our Sponsors: VMware by Broadcom & Core Contributors
3:50 The Week at a Glance: Workshops, Leadership Summits, and Wembley Stadium
4:45 June 23 Workshops: Tokenized Assets, Architecture-as-Code (CALM), and FDC3 Con
6:30 June 24 Workshops: AI Governance (AIGF), Five Spot HPC, and Common Cloud Controls (CCC)
8:22 Closed Session: Open Source AI in Finance Leadership Summit
11:30 Keynote Reveal 1: Greg Kroah-Hartman (Linux Foundation Fellow)
13:02 Keynote Reveal 2: Craig Kitchen (Fidelity Investments) & Greig Callen (NatWest)
14:10 Keynote Reveal 3: Michael Hsu (Former US acting Comptroller of the Currency)
15:15 AI Track Highlights: Old-School Vulnerabilities vs. Bounded Autonomy
18:38 Fluxnova & Platform Automation: 35 Terabyte Database Migrations
19:55 Cultivating Culture: Patent Silos (TD Bank) & GitProxy (Citi)
21:35 Interoperability, CDM, and Desktop Connective Tissue
22:45 Final Discount Code, Show Notes, and Podcast Wrap-Up
📊 The Problem: The Chaos of "Autonomy Creep" and PDF Regulation As generative AI hits production, financial institutions face an operational nightmare called "autonomy creep," where AI agents independently spawn and orchestrate other agents in highly regulated environments. Compounding this risk is the legacy bottleneck of traditional compliance: dense, ambiguous PDF regulation manuals and slow, manual architectural review boards where innovative engineering designs go to die.
🏗️ The Solution: Executable Standards & Bounded Autonomy The OSFF London 2026 lineup showcases how global banking giants are building code-driven leashes to securely lock down probabilistic tech:
* Deterministic Guardrails (Fluxnova): Leveraging deterministic workflow engines to act as a complete visibility and audit traceability loop around fluid LLMs.
* Executable Regulations (CDM & CCC): Transitioning regulators away from text manuals toward shared, machine-readable software definitions that automate compliance validation.
* Automated Architecture Frameworks (CALM): Embedding security policies straight into code so compliance checks happen instantly within developer pipelines.
⚙️ Why This Matters for Financial Engineering
* Eliminating Legal Friction: Architecture like Citi’s GitProxy enables enterprise developers to seamlessly contribute back to open communities without triggering manual legal silos.
* Sovereign Cloud Orchestration: Utilizing the Common Cloud Controls (CCC) live validator tools to map granular security controls across multiple hyperscalers natively, preventing vendor lock-in.
The takeaway: If you are building, governing, or regulating financial technology in the UK or Europe, this isn’t an optional event—this is where actual production standards are being forged. Join us in London from June 23rd to 25th!
🌐 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
Video by Open Data Science and AI Conference via YouTube
Across nearly every country in the world, women live longer than men—but the size of this gap varies from about two years in some countries to more than twelve in others. What explains these differences, and how much of the gap can be closed?
In this talk, I present a practical approach to counterfactual analysis using Bayesian regression models. Using publicly available mortality data, we build a model that relates the life expectancy gap between men and women to differences in cause-specific death rates, including homicide, drug overdoses, traffic fatalities, smoking-related disease, and chronic illness.
The model generates posterior simulations that answer “what-if” questions. For example: How much smaller would the U.S. life expectancy gap be if homicide rates matched those in Western Europe?
The talk presents the workflow from assembling global datasets to fitting interpretable Bayesian models with PyMC and generating counterfactual simulations. Attendees will learn how Bayesian models can support explainable modeling and analysis under uncertainty.
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