KGA

🌟 Celebrating a Decade of Innovation! 🌟 10 years ago, our President Michela Magas proposed methods for tracking IP in open innovation environments. What started as a series of pilots in MTF Labs led to 11 innovative products and the creation of the Industry Commons Foundation concept. Today, the Knowledge Graph Alliance (KGA) continues this legacy, driving cross-domain interoperability and optimization. Read more about our journey and breakthroughs in asset and IP tracking, and how we're shaping the future of data-driven systems. #Innovation #IndustryCommons #KnowledgeGraphAlliance #OpenInnovation #IPTracking

Hear, hear 👍

Ontologies as word of the year? 🤔 It has my vote too! 👌 The transformative impact of ontologies on AI applications across various fields is undeniable. In my recent article, I delve into how technologies like Semantic Knowledge Graphs (SKGs) and Retrieval Augmented Generation (RAG) are paving the way for trustworthy and ethical AI. SKGs will support numerous advancements, including GraphRAG, Cognitive Twins, Technical Language Processing, Explainable AI (XAI), and Data Sovereignty. For us in the industry, adopting SKGs is crucial to making GenAI trustworthy. Exciting times ahead! Read my article on the topic: https://lnkd.in/d4tKRs5n

“Ontology” is a strong candidate for word of 2024. Ontologies are at the center of applying AI successfully to enterprise information, scientific ideation, personalization, compliance, learning, supply chains, genetic research, and far more. The semantic networks that are at the heart of human knowledge and understanding are in effect personal ontologies, manifesting the connections between ideas we see in the world. Knowledge graphs, built on these ontologies, serve as critical foundations for organizing and navigating vast data structures. By linking concepts, relationships, and contexts ontologies enable AI to be relevant in the real world. They can also be used to generate useful visualizations that represent implicit mental models. Ontologies are fundamental for interoperability, allowing a shared context and aligned semantic mappings. Looking forward, as AI shifts from single models to richly interlaced multi-agent systems, ontologies will support emergent capabilities among networks of AI systems. The diagram is what Palantir Technologies calls “The Ontology-Powered Operating System for the Modern Enterprise”, placing ontologies at the center of the enterprise. There’s a very fair case that will be increasingly true in an AI-driven world. — Follow for insights on Humans + AI, the future of work and organizations, and AI in strategy. Lots more good stuff coming!

🚀 I’m excited to share my first and latest Medium article, “Embracing the Future of AI in Industry: Collaborative Efforts and Enhanced Solutions.” In the article, I explore how collaboration and innovative solutions can pave the way for trustworthy and ethical AI. It is based on my opening keynote at the JUST Industry Data Week in Linköping, Sweden 🇸🇪, organized by Industry Commons Foundation , Linköping Science Park and MTF Labs. Here is the program for the week: https://lnkd.in/dNP_8gwj In the article I discuss key advancements such as: 1️⃣ Retrieval Augmented Generation (RAG), which enhances AI models by using external data sources to improve the quality of generated responses. 2️⃣ GraphRAG, which combines graphs and RAG to extract structured data from unstructured text, enhancing AI’s ability to understand and reason about complex datasets. 3️⃣ 3D AI and Spatial Intelligence, which envisions a future where AI interacts with the 3D world, driving significant value in industries. 4️⃣ Cognitive Twins that combine AI with human reasoning. 5️⃣ Technical Language Processing (TLP) using Semantic Knowledge Graphs, and the importance of embedding physical rules to enhance AI reliability. 6️⃣ Explainable AI (XAI) is highlighted for building trust by making AI decisions understandable. 7️⃣ Data Sovereignty is emphasized through ethical frameworks and data pods. The industry stands at a pivotal moment where collaboration is key to advancing trustworthy Generative AI (GenAI) for industrial applications. By leveraging the power of the Semantic Web and Semantic Knowledge Graphs (SKGs), we can drive innovation, set standards, and address common challenges. These technologies play a crucial role in ensuring that AI solutions are robust, scalable, and reliable, ultimately fostering trust and ethical practices in AI deployment. Together, we can pave the way for a future where AI not only enhances industrial processes but does so in a manner that is transparent, accountable, and aligned with societal values. #AI #GenerativeAI #DigitalTransformation #Industry40 #DataSovereignty #ExplainableAI #Collaboration #Innovation #SKG #KGA #KnowledgeGraph

Let's continue to build “networks of cooperation” that are not only powerful but also ethical and responsible. Together, we can shape a future where data and AI serve humanity wisely and justly.

We are thrilled with the conclusion of the recent presentation at the JUST Industry Data Week, highlighting the transformative potential of Semantic Knowledge Graphs (#SKG). These insights underscore the significant impact SKGs can have in enhancing data integration, informed decision-making, and driving data-driven strategies across various industries, including the Health and Pharmaceutical sectors. 🌐💡 #KnowledgeGraphAlliance #DataIntegration #HealthData #Pharmaceuticals #Innovation

🧐 “Your AI strategy exists, whether you wrote it or not.” 🤖📈🤔 - Allie K. Miller The hype around AI and GenAI is undeniable, and it brings with it a host of challenges that we must address. Ensuring AI is trustworthy, unbiased, safe, and transparent (JUST) is crucial. Proper governance, change management, and literacy are also essential. We’ll have to deal with Technical Debt, Psychological Debt, and Societal Transformation. There are many challenging issues to tackle, but the potential for value and transformation is enormous. We’re now two days into the JUST Industry Data Week in Linköping, Sweden, organized by Industry Commons Foundation, Linköping Science Park, and MTF Labs. Find the program here: https://lnkd.in/dNP_8gwj AI and GenAI have been discussed extensively. Of course, there’s a lot of attention to the severe issues and risks, but also to the potential and benefits. It has been a very inspirational and thought-provoking week so far. I was honored to have been invited to give the opening keynote on “Reaching Trustworthy GenAI for Industrial Applications.” https://lnkd.in/dtHQzBg5 It’s indeed not the time to overthink whether to adopt AI, but rather to strategize and prepare, as competitors will not wait for anyone to catch up. However, we should not be blind to the challenges that come with it. Denying them would be foolish, not addressing them would be utterly irresponsible. TotalEnergies has just deployed Microsoft CoPilot to 20,000 collaborators globally, showcasing rapid AI adoption and its transformative potential. By year-end, TotalEnergies plans to onboard 30,000 Data Actors, continue the “Digital Accelerator” training, simplify CoPilot usage with dedicated support, and boost adoption through tailored use cases. Additionally, TotalEnergies has implemented an AI Gate to ensure all AI products comply with the company’s rules and policies (https://lnkd.in/dJSHeqi8). Thank you for the experience so far, and thank you to TotalEnergies for allowing me to participate in this event. Most of the event is streamed live and recorded, and the recordings will be shared in the near future. On Thursday afternoon, I will start my 7.5-hour train journey back home, and I have bought a copy of “Nexus” by Yuval Noah Harari to read on the train, which I think will be the perfect rounding up of the event (See my earlier post: https://lnkd.in/d6dSi8ZR ). Unfortunately, this means I will be leaving before the end on Saturday as the week culminates with an exclusive preview of new applications, prototypes, and findings from the week of debate and experimentation. The Future Sound of Linköping will include installations, performances, demonstrations, simulations, and a unique and exclusive connection with a person from space. #AI #GenAI #JUSTData #IndustryTransformation #TechDebt #PsychologicalDebt #OrganizationalTransformation #AITrust #DataGovernance #ChangeManagement #AIethics #Linköping #IndustryCommons #LinköpingSciencePark #MTFLabs

🌍🤝 The Power of Collective Effort in Data Standardization and Ontologies Reflecting on nearly 20 years in Scandinavia, I’ve come to appreciate the concept of Dugnad—a tradition of collective effort and mutual support. This spirit of collaboration is mirrored in data standardization efforts, particularly in the Norwegian Oil and Gas industry. In a recent LinkedIn post https://lnkd.in/d_7_xt9t , Jérémy Ravenel highlighted the issue of private reference ontologies. Together, we hope to convince the industry of the business value of sharing. Perhaps we can work together, Jérémy, in the recently established Knowledge Graph Alliance (KGA) to drive knowledge-driven innovation through co-creation and non-competitiveness across various industries. #DataStandardization #Ontologies #DigitalTransformation #OilAndGas #ISO19526 #CFIHOS #OSDU #Collaboration #Dugnad #NorwegianCulture #DigitalTwin #LeanOperations #Innovation #DataManagement #Sustainability #EnergyIndustry #IndustrialAutomation #OffshoreOperations #CommunityEffort #UltimateRecovery

✅ Keynote on Reaching Trustworthy GenAI for Industrial Applications 🌍✨ 🚆✨ Just delivered my Opening Keynote speech, which I started crafting yesterday on the train, using a body of LinkedIn articles I had posted over the past few months as ingredients. During a 7.5-hour, 750 km journey from Esbjerg, Denmark 🇩🇰 to Linköping, Sweden 🇸🇪, I opted for the train over a flight via Amsterdam. This choice not only matched the door-to-door travel time but also aligned with my commitment to climate consciousness. The peaceful train ride provided the perfect environment to finalize my presentation. 🌍 I am sharing two pictures: one of Michela Magas introducing me, where she reminded everyone of a statement Olivier Rossel from Airbus and I made at the Knowledge Graph Alliance (KGA) launch event in Brussels last November. Michela also set the stage for my talk by highlighting the challenge she posed to me: to provide a comprehensive overview of the application of GenAI in industry and the pathways to achieving trustworthy GenAI for industrial applications. The outline of my talk included: 1️⃣ Artificial Intelligence – Short Timeline 2️⃣ From FOMO to JOMO… 3️⃣ Trustworthy GenAI for Industrial Applications 4️⃣ State of SKG Adoption in Industry – Opportunity for Collaboration The second picture - in the first comment - captures me in the second half of my presentation. Professional videos will be made by the organizer to be shared in a few weeks. In the meantime, you can check out my LinkedIn posts, as I generated the slides using the Microsoft Copilot GenAI system (yes, I see the irony), but in a very interactive way, refining them until I was happy with the result. Given the rapid advancements in this space, the presentation will likely need a major update if I were to give it again. I am grateful to TotalEnergies EP Danmark for allowing me to attend the JUST Industry Data Week in Linköping, Sweden 🇸🇪, organized by Industry Commons Foundation, Linköping Science Park, and MTF Labs. I am looking forward to spending nearly a week engaging in discussions and activities aimed at establishing JUST Data practices across many different domains, including health, transportation, primary industry, security, space, communications, urbanism, architecture, service design, and living environments. Unfortunately, I will have to depart on Thursday around noon, and I am sad to miss part of this wonderful and relevant agenda. #AI #GenAI #Keynote #Sustainability #Innovation #Collaboration