Blog, Generative AI & Large Language Models (LLMs), MLOps

AI Security in Focus: Managing Identity, Model Drift, and LLMOps Risks

Sep

2025

AI Security in Focus: Managing Identity, Model Drift, and LLMOps Risks

In this blog, we share two in-depth articles: one explores the AI triple threat and why identity security must be the cornerstone of adoption, while the other looks at LLMOps and how to manage model drift for the safe use of large language models. Together, they highlight the dual challenge...

Blog, MLOps

The Expanding Scope of Observability for AI Systems

Aug

12,

2025

The Expanding Scope of Observability for AI Systems

Observability is undergoing a big change in the era of AI and must now cover model and data drift, autonomous decision making, intent and outcome alignment, and more. This article gives some best practices for the next-generation of AI-native observability, examines potential challenges, and looks towards the future of achieving...

Blog, Generative AI & Large Language Models (LLMs), Interview, ML Business & Strategy, Tools, APIs & Frameworks

Are AI Tools Hurting Developer Productivity?

Jul

30,

2025

Are AI Tools Hurting Developer Productivity?

A recent study [1] suggests that developers may become less productive when using AI tools. We've asked our experts to weigh in: Is this a temporary setback, a methodological flaw, or a sign of things to come?

Blog, Generative AI & Large Language Models (LLMs)

MCP vs A2A: Architecting AI Agent Communication for Enterprise

Jul

21,

2025

MCP vs A2A: Architecting AI Agent Communication for Enterprise

The AI landscape is shifting towards collaborative, specialized agents. This article provides an essential comparative analysis of emerging AI agent communication protocols: Anthropic's Model Context Protocol (MCP) and Google's Agent-to-Agent (A2A). For ML/AI developers and technical leaders, understanding these frameworks is crucial for building scalable, secure, and composable AI systems....

Generative AI & Large Language Models (LLMs)

Jul

17,

2025

Can GenAI Build Satellites?

How can engineers use GenAI, RAG, and MLOps to tackle the complexity of aerospace projects? From managing thousands of documents to building smarter systems faster, this session shows how AI is transforming the future of systems engineering.

Generative AI & Large Language Models (LLMs), Interview

RAG & MCP for ML Devs: Practical AI Implementation

Jul

2025

RAG & MCP for ML Devs: Practical AI Implementation

This article, featuring insights from Robert Glaser at JAX Mainz, dives into practical AI implementation strategies. We explore why Retrieval-Augmented Generation (RAG) is a foundational technique and how the emerging Model Context Protocol (MCP) is poised to revolutionize AI agent development.

Advanced ML Development, Blog

Deep Learning with Category Theory for Developers

Apr

29,

2025

Deep Learning with Category Theory for Developers

This article looks under the hood of deep learning and is perfect for any machine learning developers looking to understand the basics. We’ll show that deep learning can also be approached differently (and much more simply), using slightly more advanced (but not complicated) mathematics and functional programming.

Blog, Generative AI & Large Language Models (LLMs), Tools, APIs & Frameworks

Exploring DeepSeek: How a New Player is Challenging AI Norms

Mar

13,

2025

Exploring DeepSeek: How a New Player is Challenging AI Norms

In this interview, Dr. Pieter Buteneers shares his thoughts on the emerging AI company DeepSeek. We explore the technology behind it, discuss its potential impact on AI development, and touch upon the opportunities and challenges of this innovation.

Blog, ML Business & Strategy

Agentic AI: The Future of Business Process Automation

Feb

26,

2025

Agentic AI: The Future of Business Process Automation

This article explores how Agentic AI revolutionizes the business process layer, enabling companies to achieve greater efficiency, adaptability, and competitive advantage. We will uncover how enterprises can transition towards self-optimizing, AI-driven workflows by examining its foundational principles, real-world applications, and future implications.

Blog, Generative AI & Large Language Models (LLMs), Tools, APIs & Frameworks

How Ollama Powers Large Language Models with Model Files

Jan

2025

How Ollama Powers Large Language Models with Model Files

The rise of large language models (LLMs) has transformed the landscape of artificial intelligence, enabling advanced text generation, and even the ability to write code. At the heart of these systems are foundation models built on transformer models and fine-tuned with vast amounts of data. Ollama offers a unique approach...

Blog

AI Security in Focus: Managing Identity, Model Drift, and LLMOps Risks

The Expanding Scope of Observability for AI Systems

Are AI Tools Hurting Developer Productivity?

MCP vs A2A: Architecting AI Agent Communication for Enterprise

Can GenAI Build Satellites?

RAG & MCP for ML Devs: Practical AI Implementation

Deep Learning with Category Theory for Developers

Exploring DeepSeek: How a New Player is Challenging AI Norms

Agentic AI: The Future of Business Process Automation

How Ollama Powers Large Language Models with Model Files

Behind the Tracks

Machine Learning & Principles

Advanced ML Development

Business & Strategy

Tools, APIs & Frameworks