In this space, we explore the evolving landscape of artificial intelligence—through the lens of real-world application. From vertical AI systems and in-company deployment strategies to the latest developments in generative models and autonomous agents, our blog covers a wide range of topics that matter to professionals navigating the AI era. Whether you’re in supply chain, operations, or strategy, you’ll find insights, frameworks, and case-driven perspectives to help you apply AI where it counts.
From vertical AI systems and in-company deployment strategies to the latest developments in generative models and autonomous agents, our blog covers a wide range of topics that matter to professionals navigating the AI era. Whether you’re in supply chain, operations, or strategy, you’ll find insights, frameworks, and case-driven perspectives to help you apply AI where it counts.
In-company RAG
Start building you In-company RAG system and learn how to train your model. Learn the basic setup and common pitfalls when it comes to in-company AI.
Create a safe environment | the sandbox
We’ve seen firsthand that creating an environment where small, scrappy teams can innovate without being slowed down by endless reviews is key to unlocking AI’s potential.
How to deploy In-Company AI
Building a Company-Specific Vertical AI: A Practical Guide for C-Level and Supply Chain Leaders. Why Companies Are Exploring Vertical AI.
What we Learned building our Vertical
Going from an abstract vision of “AI that works for supply chain” to a functional, compliant, production-ready AI stack is harder than it sounds
When numbers start talking
Our founder Bas Groothedde meets our In-Company AI Agent AVA. Great stuff.
Giving your AI context in the supply chain
Context-prompting, an important tool to give an llm context. There is strong theoretical and empirical evidence that providing AI with better context improves its performance.
The Evolution of AI Agents
The landscape of AI agents has advanced from basic chatbots to sophisticated entities managing complex tasks across industries.
This is World interview featuring Professor Yann LeCun
LeCun brings clarity to the current discourse on AI with a number of thoughtful, remarks and putting it into perpective. A must-watch for anyone navigating the future of artificial intelligence.
AI is moving so fast, which is why your strategy should be long-term.
Danny Hillis, a pioneer in AI He understood something decades ago that many executives are only now coming to terms with. Technology does not evolve in stable, predictable increments.
The future of AI is not just language models. It’s causal reasoning.
Judea Pearl, is another true pioneering in artificial intelligence. But he is a little bit different. And not on the bandwagon if LLMs. Teach machines to understand the question why.
Intelligence is not what we think it is
In our series about AI, we came across the work of Professor Herbert “Herb” A. Simon, one of the founding figures in artificial intelligence.
Why the human factor remains essential in the Digital Era
No matter how advanced technology becomes, human insight remains essential in managing real-world complexity.
The Blind Spot in supply chains: Why network topology deserves more attention
While many fields are buzzing with the possibilities of AI and other technological innovations, the realm of network design in supply chains remains silent.
