Community & Events Social Coworking: SORTEE, Vale/Linting, Debugging in R – Join upcoming free coworking sessions to explore the SORTEE community, learn text linting with Vale, or sharpen your R debugging skills. Rencontres R 2026 – Nantes – The French R conference heads to Nantes in 2026; mark your calendar for this key open-source statistics … Read more
Top Stories Analysis The biggest trend this week is the UK government stepping up to support open-source AI with compute and mentoring, signaling a major policy shift. Meanwhile, security concerns are front and center: six vulnerabilities in open-source protobuf.js threaten AI and cloud infrastructure, and experts warn that AI agents are creating new cyber exposure … Read more
AI Accessibility: From Enterprise to Edge This week’s highlights reveal a dual trend: while enterprises like LSEG scale AI with OpenAI’s proprietary models, the open-source community champions small language models (SLMs) for low-resource environments. Aqsa Aqeel’s FOSSASIA talk underscores that not everyone has a GPU, making SLMs critical for digital inclusion. Meanwhile, OpenAI’s Fabian Ponce … Read more
What happens when one of the world’s leading financial markets infrastructure and data providers combines trusted market intelligence with AI?
In this customer story, LSEG shares how it’s using ChatGPT Enterprise and OpenAI APIs to accelerate insight generation, speed up product innovation, and help employees and customers make better decisions with confidence.
Hear from Emily Prince, Group Head of Enterprise AI, and Max Grigoryev, Group Director AI Products, as they discuss scaling AI responsibly, transforming workflows, and bringing trusted financial data into AI-powered experiences.
Transactional Cluster Metadata, TCM, provides a more explicit and more ordered metadata, replacing the older model of eventual consistency and the Gossip Protocol.
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The future of AI isn’t just bigger models—it’s making AI accessible everywhere. In many parts of the world, unreliable internet and limited computing resources make cloud-based AI impractical. This talk explores how Small Language Models (SLMs) can bring powerful AI capabilities to low-connectivity and offline environments.
Learn how compact AI models can run locally on affordable hardware, deliver real-world value without constant internet access, and expand access to AI for underserved communities. We’ll discuss the lessons from projects like TinyStories, practical deployment strategies, and why offline-first AI may be critical for the next billion users.
Perfect for developers, AI practitioners, and open source enthusiasts interested in edge AI, local LLMs, digital inclusion, and building AI systems that work beyond the cloud.
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
How do you know when you’ve found your community?
CNCF Ambassador Cortney Nickerson shares what being selected as an ambassador meant to her: the pride, the validation, and the sense of responsibility to keep showing up and help others get involved in the things that matter to them.
Maxime Coquerel (Principal Cloud Security Architect at RBC) and Eddie Knight (Founder of Revanite) introduce the Common Cloud Controls (CCC) framework. They break down how global financial institutions are building an openly governed, cloud-agnostic taxonomy of capabilities, threats, and shared controls to eliminate multi-cloud security fragmentation.
🇬🇧 Join us in London! Catch the latest on Cloud Security and Compliance at OSFF London on June 25, 2026: https://hubs.ly/Q041YV9Z0 (Use Code: 26YTOSFFLN20C)
🕒 Timestamps:
0:00 Welcome and Disclaimers
0:30 Speaker Introductions: RBC & Revanite
1:13 Scope of Cloud Security Teams: Threats vs. Controls
1:55 The Jamara Project: Philosophy of Standardized Compliance
2:33 Layer 2 Activity: Accelerating Policy with Shared Controls
3:18 RBC’s Cloud Security Framework: Step-by-Step Architecture Vetting
4:06 Multi-Cloud Drift: The Challenge of AWS Config vs. Azure Policy
6:18 The Role of CCC: A Level, Agnostic Control Catalog
7:06 Connecting CCC with Architecture Language Models (CALM)
7:46 The Authoring Process: Capabilities, Threats, and Vector Mapping
8:54 Visualizing the Catalog Taxonomy
9:46 Website Tooling and Live Evaluation Ecosystem
10:38 Component Breakdown: Generative AI, Object Storage, and Secret Management
11:23 Differentiating Agnostic Controls from Policy Implementations
12:10 Pre-written Compliance-to-Perform Terraform Modules
12:46 Third-Party Vendor Tooling Integration (Polar)
13:19 How to Start Your Journey with Common Cloud Controls
15:03 Contributing Organizations and Call for Feedback
15:35 Key Takeaway: Cross-Cloud Shared Language
16:50 Navigation of the Dev Website and Git Workflows
17:57 The CCC Open Governance Schema Architecture
18:16 Q&A: Reference Module Strategy and Regulatory Change Tracking
📊 The Problem: The Fragmented Multi-Cloud Policy Trap Operating in a multi-cloud financial environment forces security teams to write individual, specialized configurations for each provider (e.g., AWS Config vs. Azure Policy). This causes severe operational drift—where an identical security requirement (like forcing TLS encryption in transit) requires completely distinct implementation paths. Without a uniform baseline, structural security gaps emerge between clouds, and regulatory compliance validation becomes immensely tedious.
🏗️ The Solution: Standardized Agnostic Control Frameworks
The FINOS Common Cloud Controls (CCC) project provides a uniform translation layer across all environments:
* The Layer 2 Compliance Taxonomy: Standardizing cloud services into high-level, vendor-agnostic functional components (e.g., evaluating "Object Storage" as a generic standard rather than uniquely tracking AWS S3 or Azure Blob).
* Threat Matrix Mapping: Correlating native system capabilities directly to known cybersecurity attack vectors (such as MITRE) to proactively highlight cloud-agnostic vulnerabilities.
* Compliance-to-Perform Modules: Standardized, community-maintained Infrastructure-as-Code (Terraform) building blocks that are pre-certified as compliant out-of-the-box.
⚙️ Why This Matters for Financial Engineering
* Frictionless Mergers & Acquisitions: Utilizing a shared language ensures that if a financial institution acquires or merges with a company on a different cloud provider, risk postures can be validated instantly without refactoring the entire governance engine.
* Automated Enforcement Pipelines: Integrating CCC schemas with git-based engines (like Flux) guarantees that unvetted, non-compliant configurations are automatically blocked prior to deployment into production environments.
🌐 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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Having recently moved house, Gary wonders how to reconfigure his homelab and network setup. Plus Shane is fed up with GitHub’s outages and formulates a plan to move away… somewhere…
See how SAP Business Data Cloud helps preserve business context so AI can deliver smarter, faster decisions.
As AI becomes more central to how every industry operates, data strategies need to evolve. For years, organizations have focused on extracting data into centralized applications and dashboards. But when data loses its business meaning, AI can move fast without the context needed to support good judgment.
SAP Business Data Cloud provides a business data fabric that unifies and governs SAP and third-party data while preserving semantics, business processes, and policies by design. This helps make trusted business context available across the enterprise — not only for analytics, but also for AI agents and intelligent applications.
In this video, learn how SAP Business Data Cloud supports a new approach to data and AI. Instead of spending weeks extracting and transforming data, teams can access governed data products with semantics intact, helping line-of-business leaders analyze profitability, understand performance, and act with greater confidence.
With SAP Business Data Cloud, data and AI become a shared business capability. The result is a foundation that helps organizations preserve business meaning, scale AI responsibly, and drive more impactful decisions.
Chapters:
00:00 – A new era for data and AI
00:16 – Why data context matters
00:51 – The business data fabric
01:03 – Introducing SAP Business Data Cloud
01:19 – Why culture matters for AI at scale
01:35 – Trusted data products in action
01:53 – Preserving business meaning
02:04 – Beyond the data warehouse
02:23 – Data and AI as a shared capability
02:37 – Driving smarter business decisions
Learn more about SAP Business Data Cloud:
https://sap.to/6050B870Kw
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LinkedIn: https://sap.to/6051B870Kb
Instagram: https://sap.to/6052B870Kj
Facebook: https://sap.to/6053B870Kd
Threads: https://sap.to/6054B870Ke
About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6055B870K5
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