Communication Breakdown: When AI Needs a Knowledge Graph

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, CapgeminiHosts: Robert and MarieProducers: Sudeshna and Arne

From snowdrifts to sand dunes, this episode takes a wild ride through Finnish grit and Abu Dhabi ambition. Our guest brings sisu, that legendary “dig your way out with a spoon just to prove a point” stubbornness, into the world of data and AI.Expect sharp takes: “I don’t work with dashboards, I work with products,” and a masterclass in why data needs purpose, not just pipelines. Along the way, we detour into melancholic Finnish music (where everything burns down but somehow teaches you a life lesson) and how that mindset oddly fits building global data standards.It’s equal parts tech, philosophy, and dark humor with a sprinkle of Linux Foundation credibility. If you’ve ever wondered what connects heavy metal heartbreak, AI, and the future of data products, this one surprisingly nails it.Guest: Jarkko Moilanen (Ph.D.)Abu Dhabi, United Arab EmiratesTime stamps[ 01:10 ] - Introducing Dr. Jarkko Moilanen and sharing his background of ODPS within the Linux Foundation [ 06:33 ] - Talking about openness in Data Products and what it means for Jarkko? [ 11:34 ] - how to integrate global feedback into an open standard [ 15:50 ] - The cultural journey from Finland to Arabics [ 19:25 ] - using AI to support Data Product acceleration [ 24:44 ] - continuing the (musical) journey from Abu Dhabi to Hanoi with Vinahouse [ 29:11 ] - Jarkkos entry in the AI & Data Hyttebok 

In this episode, we explore how digital innovation is transforming maternal and child healthcare in rural India. Dr. Santosh Bhosale shares his journey from clinician to social impact leader, driving Project Maatr, an initiative powered by Capgemini, to support frontline Accredited Social Health Activists (ASHA) workers. By digitizing manual processes, equipping workers with tools, and leveraging data and AI, the program enables real-time identification of high-risk pregnancies and more proactive care.The conversation highlights the importance of localized data, ethical AI, and human-centered design in building scalable healthcare solutions. Beyond technology, it underscores the power of empathy, community engagement, and partnerships in addressing systemic challenges.In the episode, music is not just a metaphor, it becomes a practical tool for connection and care. Dr. Santosh describes initiatives like “Art on Wheels,” where music, singing, and creative expression help children recover from post-pandemic trauma, making them more receptive and engaged after even short sessions. Music is also being explored with mothers and frontline workers to improve mental well-being and strengthen community engagement.All in all, a compelling look at how innovation, when grounded in purpose, can improve outcomes for millions and create a more equitable healthcare ecosystem.Timestamps:[ 01:15 ] - Introduction of Dr. Santosh and his move from medical to social wealthcare[ 08:06 ] - The challenges and how to empower ASHA workers with digital tools[ 13:35 ] - Helping mothers with the help of AI[ 19:22 ] - UX, the challenges of languages and data challenges for training medical AI[ 27:26 ] - Music is affecting us every time and how iicare.org pushes sustainability[ 36:11 ] - A better future through simplicity, ecosystems and partnerships 

What do Red Hot Chili Peppers, German techno, and research data have in common? More than you’d think.In this episode of Our Jam, we sit down with York Sure‑Vetter, founding director of the National Research Data Infrastructure (NFDI) and professor at the Karlsruhe Institute of Technology, to explore what it truly takes to build trustworthy, high‑quality research data in the age of AI.From ontologies and semantics to FAIR principles and long‑term data stewardship, the conversation bridges deep technical insight with real‑world impact. Along the way, York shares personal stories, lessons from international collaboration, and a philosophy inspired by the Red Hot Chili Peppers’ Give It Away. It’s a thoughtful discussion on openness, trust, and why data like music only gains real power when it’s shared responsibly.Time stamps:[ 02:57 ] - Introducing York and talking about (sharing) research data[ 15:18 ] - Digital heritage & assets and FAIR principles to support data sharing[ 21:52 ] - From Red Hot Chilly Peppers and Nina Hagen to sharing data[ 33:10 ] - Open Data, Open Metadata and wikidata[ 40:07 ] - From Internet Archive and open Hardware to Federated Networks[ 47:49 ] - Effects of the technical development to (open)data  

What if engineers could design hardware just by talking, while AI agents handled the heavy lifting?In this episode of Capgemini’s Data‑powered Innovation Jam, we sit down with Dr. Moritz Maier, Founder & CEO of Synera, to explore how generative AI and multi‑agent systems are transforming engineering. From BMW car parts designed in minutes to AI systems collaborating like human teams, Moritz shares real-world breakthroughs, hard lessons on trust and transparency, and a bold vision for the future.We cover AI copilots for engineers, faster time‑to‑market, German engineering rigor vs. Silicon Valley speed, and why tomorrow’s engineers will focus less on tools and more on judgment.🎧 A must‑listen for anyone shaping the future of data, AI, and innovation.Timestamps:[ 03:29 ] - Introducing Moritz Maier and talking about the beginnings of Synera [ 09:36 ] - The Eureka moment of agents in Engineering [ 17:50 ] - the change of human skills in the human-ai-collaboration [ 28:30 ] - Finding a common language of automated workflows and systems engineeringStudy mentioned in the episode: Labor market impacts of AI: A new measure and early evidence 

This season, we go global, exploring how data fuels innovation at the intersection of technology, culture, music, and society. Hosts Robert Engels and Marie Jansen kick things off with a fresh perspective on what 2026 really means: not just AI and high tech, but ethics, psychology, geopolitics, sustainability, and the human rhythms behind the data.From encrypted computing to global automation, from Milan’s disco influence to Mumbai’s urban pulse, each episode is a jam session, less documentation, more authentic insight. Expect sharp thinking, global voices, fun facts, and a beat that keeps the conversation moving.Because data without culture is just noise. Let’s find the signal together.Timestamps:[ 00:15 ] - Welcoming the Data Powered Innovation Jam from Robert[ 00:44 ] - Marie Jansen joins Robert as host[ 01:36 ] - Dive into the new and refreshed approach with more global music and view[ 02:48 ] - Kicking off the new season - Vaan de lach en de traon

Join us by the virtual fireplace for the final Data-powered Innovation Jam episode of 2025! In this special holiday edition, our hosts swap ugly Christmas sweater stories, debate favorite festive tunes (from punk to glam rock), and reflect on a whirlwind year in AI and data innovation.From breakthroughs in autonomous agents and digital twins to the hype scalers that dominated LinkedIn, we explore what truly mattered in 2025 and what’s next for 2026. Expect candid insights, a few laughs, and even a philosophical detour into the future of coding and AI roles.As one of our hosts, Ron, signs off for retirement, we raise a glass to realism, creativity, and game-changing ideas that actually deliver value.Tune in for nostalgia, predictions, and plenty of holiday cheer.Timestamps[ 02:40 ] - Let's talk about music and the favourite Christmas songs[ 07:39 ] - Recapping and reflecting the Data & AI year 2025[ 18:11 ] – Hosts share their favourite podcast episodes of 2025[ 28:41 ] - An intermezzo about coding, vibe coding and the future of it.[ 34:43 ] – Ex-CTO Ron continues with sharing his favourite episode[ 40:04 ] - Looking into the Data & AI crystal ball for 2026 

In this episode of Data-powered Innovation Jam, hosts Robert Engels and Ron Tolido jam with Craig Wiley, Senior Director of AI/ML Products at Databricks and former founder of AWS SageMaker and Google Vertex AI. From Seattle’s grunge roots in Nirvana, from Jimi Hendrix to Kurt Cobain, then going on  to the evolution of AI platforms, Craig shares insights on how generative AI is reshaping development workflows, why “vibe coding” is becoming the new norm, and how Agent Bricks aims to simplify building and tuning AI agents using natural language. Expect candid takes on deterministic vs. generative systems, contextual awareness, and the role of developers versus data scientists in this fast-changing landscape. If you’re curious about the future of AI-driven software and why coding might soon feel like playing a guitar riff, this episode is for you.Timestamps[ 00:25 ] - Ron and Robert share their special connection to grunge music[ 05:46 ] - Introducing the episode with Craig Wiley from Databricks and talking about evolving of the Databricks platform, developer profiles and language models[ 14:05 ] - Deterministic vs. indeterministic goals of AI solutions and the importance of context[ 20:02 ] - from Digital Twins to world models and leveraging Agentic AI solutions efficiency and talking about the path to determinism through tools of agents[ 28:35 ] - going with the flow - vibe coding in Databricks[ 33:12 ] - looking on the roadmap of Databricks[ 40:04 ] - Weiwei busts the myth about vibe coding[ 42:08 ] - Summarising this 'vibey' episode