ABOUT THIS FEED
The AI Accelerator Institute is a global community and knowledge hub dedicated to accelerating AI adoption in enterprises. Its RSS feed features articles, event highlights, and research-driven insights from AI leaders across industries. The focus is on practical implementation, with content covering real-world case studies, scaling strategies, and advances in machine learning infrastructure. The feed also highlights conferences, webinars, and thought leadership pieces from practitioners and executives. Articles strike a balance between technical depth and business relevance, making them useful for both engineers and decision-makers. With multiple posts per week, the feed ensures readers stay connected to global discussions on AI deployment. It is especially valuable for professionals looking to benchmark their strategies and learn from industry peers who are successfully integrating AI into business operations.
- How to turn shadow AI into a safe agentic workforce: Lessons from Barndoor AI
Enterprises struggle with AI not from a lack of capability, but from missing control, visibility, and trust. Barndoor aims to close that gap.
- Forking data for AI agents: The missing primitive for safe, scalable systems
Agent failures stem from inconsistent state. Tigris delivers immutable storage, snapshots, and forks for deterministic, reproducible AI workflows.
- Building your agentic stack: A roadmap to real integration
Building an agentic AI stack is chaotic, but strong architecture and data foundations stay constant. Here’s what truly matters for long-term success.
- AIAI Toronto, 2025
Stream every session from AIAI Toronto, with sessions from OpenAI, Nvidia, BMO Financial Group, Meta and more.
- When GPT-5 thinks like a scientist
GPT-5 is transforming research with novel insights, deep literature search, and human-AI collaboration that accelerates scientific breakthroughs.
- Case Study: Loveable
Loveable, the Stockholm-based "vibe coding" platform, is demonstrating that Europe is still a prime incubator for global AI unicorns.
- The role of AI in modern marketing: Personalisation at scale
See how AI enables hyper-personalized marketing at scale and what businesses can learn from industry leaders shaping the future.
- Small AI models can now see for powerful language models like GPT-4
A new framework called BeMyEyes shows how lightweight vision models can act as "eyes" for text-only AI systems.
- Case study: OpenAI
OpenAI’s UK partnership accelerates sovereign AI, infrastructure, and enterprise adoption while shaping the global shift toward agentic AI.
- Case study: GitLab
GitLab’s AI-driven DevSecOps platform unifies code, security and compliance to help UK enterprises ship software faster and safer.