Systems | Development | Analytics | API | Testing

Monetizing Content Through API for LLM Training

To monetize digital content, we have used means like ad networks, affiliate links, and paywalls. However, with the fast and widespread adoption of AI, demand for high-quality data has increased. To make sure Large Language Models (LLMs) models deliver value and accurate results, a wide spectrum of content is often scraped and trained on without permission or compensation. This includes blogs, product and technical docs, forums, and research papers.

How to Best Plan Usage-Based Pricing For AI Agents

The rise of AI agents has reshaped software economics; businesses have been increasingly adopting them for efficiency, scale, and delivering values faster. However, pricing them has remained a hard problem. By the established norms, you would tie cost to headcount or access, but that doesn’t fit; traditional methods misalign with how agents deliver value. And newer approaches often create more confusion than clarity.

Ep 42 | AI as a New Class of Risk with Ojas Rege

AI as a New Class of Risk with Ojas Rege. AI is changing the way businesses operate. But without trust, governance, and accountability, progress stalls. Ojas Rege, SVP & GM, Privacy & Data Governance at OneTrust joins The AI Forecast to explore how organizations can balance innovation with responsibility. He and host Paul Muller unpack why AI represents a “new class of risk,” what it means to design privacy and governance into systems from the very beginning, and how curiosity and context fuel better decision-making with data.

Inside AI Engineer Paris 2025 Part 1 - 5 Highlights That Shaped the Stage

At Koyeb, we run a serverless platform for deploying production-grade applications on high-performance infrastructure—GPUs, CPUs, and accelerators. You push code or containers; we handle everything from build to global deployment, running workloads in secure, lightweight virtual machines on bare-metal servers around the world.

Perforce 2025 State of Data Compliance Report Reveals Confusion Around AI Data Privacy

MINNEAPOLIS, SEPTEMBER 30, 2025 - Perforce Software, the DevOps company for global teams seeking AI innovation at scale, announced the findings of the 2025 State of Data Compliance and Security Report. This comprehensive research reveals alarming trends when it comes to AI and data privacy, with mass confusion around the safety of sensitive data in AI model training and the frequency of data privacy exposure.

The Developer's Guide to Debugging AI-Generated Code

AI coding tools like ChatGPT, GitHub Copilot, and Claude have completely changed how we write software. From humble beginnings where non-AI-enabled code assistants made intelligent code suggestions, like Intellisense, the latest agentic tools can generate entire functions, suggest optimal algorithms, and even scaffold complete applications in minutes. However, as any developer who’s worked with AI-generated code knows, the output isn’t always perfect.

OctoPerf MCP Server

With the rapid rise of AI, the emergence of the MCP protocol reshaping human-machine collaboration, and testing tools like OctoPerf making their mark in the DevOps landscape, we’re clearly riding a new tech wave… and it’s got style. I wanted to dive into this project because it felt both fun and challenging. It was the perfect opportunity to explore what AI, the MCP protocol, and OctoPerf could really offer… and to see how far we could push the possibilities.

MCP Server in Testing: What It Means for You

Teams use different tools in their software testing life cycle. The problem? Each tool has its own way of communicating. The MCP (Model Context Protocol) Server is a new approach to integrating these tools. It’s like a universal translator, so your testing tools, scripts, and AI copilots can share context without endless plugins or one-off integrations.

Accelerating and Scaling AI Deployments Across Hybrid Environments - MLOps Live #40 with Safaricom

Safaricom, one of the most AI-mature mobile operators, delivers predictive modeling and hyper-personalized financial services to millions of users. But operational challenges were slowing down deployments—limiting their ability to scale and act in real time. In this session, Safaricom’s AI team shares how they: Watch now to learn how they overcame bottlenecks, scaled faster, and unlocked real-time impact at massive scale with the Iguazio technology.