What do Jimmy Page, Spanish garage rock, and knowledge graphs have in common? More than you might think.

In this episode of the Data-powered Innovation Jam, the team turns up the volume with Neo4j’s Jesús Barrasa to explore why relationships, context, and semantics are becoming essential to the next generation of AI. From the early Semantic Web to ontologies, GraphRAG, semantic layers, and agentic AI, Jesús explains why connecting data is only half the story. Machines also need to understand what those connections mean.

The conversation moves from enterprise data silos to knowledge sovereignty, asking a powerful question: as AI agents increasingly interpret and act on organizational knowledge, who gets to define the context they use?

Expect graphs, guitars, a little semantic rebellion, and one big takeaway: disconnected nodes are noise. Relationships make the music.

So do tune in.

Timecodes

[ 02:24 ] - introducing Jesús Barrasa from Neo4J and talking about history of knowledge graphs
[ 07:43 ] - the fight between triple stores and labelled property graphs
[ 17:25 ] - Let's talk data ecosystems and linked open data
[ 25:55 ] - Data Sharing in the area of knowledge graphs
[ 34:30 ] - From Knowledge Graphs to Knowledge Sovereignty
[ 39:29 ] - Three honest answers

Behind every online order lies a surprisingly complex orchestration challenge. So what happens when you reimagine a warehouse as a giant AI-powered Rubik’s Cube?

Let’s find out in this episode of the Data-powered Innovation Jam, where we are joined by AutoStore’s Head of AI, Jonas Jakobsen. In this episode, Jonas discusses how AI-driven routing, real-time optimization, and robotic automation are redefining warehouse operations. He takes us inside one of the world’s most innovative automated storage systems revealing the algorithms, AI, and engineering principles powering robot swarms and route optimization to the future of intelligent supply chains.

Tune in to explore AI swarms, warehouse automation, and the fascinating mathematics behind moving products faster, smarter, and closer to customers. And discover how data-driven innovation is reshaping logistics.

Timestamps:

[ 02:02 ] - Welcoming the guest Jonas Jakobsen and talking about the background of Autostore
[ 11:14 ] - how to to scale logistics system from PoC to production systems?
[ 18:11 ] - client and challenges
[ 27:31 ] - Let's talk about music intermezzo
[ 29:43 ] - Do robots have traffic jam?
[ 34:55 ] - adding customer experience to robot delivery

In this episode of Data Powered Innovation Jam, we dive into the world of digital sovereignty with Locai Labs co-founder James Wilson. While much of today’s AI ecosystem is dominated by American and Chinese tech giants, Locai Labs is leading a distinctly British rebellion, building sovereign AI models that keep data, control, and innovation closer to home.

We explore why sovereignty is about far more than where a data centre sits. From protecting sensitive enterprise data and preserving low-resource languages like Welsh, to running AI on local infrastructure powered by renewable energy, Locai Labs is challenging the idea that nations and businesses must “rent intelligence” from global hyperscalers.

Along the way, we unpack their “Forget-Me-Not” framework for continual learning, the future of expert AI models, and why a team of eight people armed with open-source tools and plenty of audacity believes it can disrupt the AI establishment.

Think less Silicon Valley. More punk rock garage band with GPUs, sovereignty, and a mission to put control back in local hands. 🎸🤖

Guests: James Drayson, Locai Labs UK and James Wilson, AI Ethicist, Capgemini

Hosts: Robert and Marie

Producers: Sudeshna and Arne