Connected Data

Connected Data London 2024 Program Announcement It’s the most exciting day in the course of the event, second only to the conference itself It took a while, but we think you will find it was worth the wait We had more quality submissions than ever, and that meant making hard choices We like to think that this reflects the progress and growth in the Connected Data community We are looking forward to seeing you all in London - or online 3 Keynotes 27 Presentations 6 Lightning Talks 20 Masterclasses 8 Panels 73 Speakers 8 Stages 3 Days Welcome to Connected Data London 2024 Stay tuned as we highlight gems from our program in the coming days Get ready for the best Connected Data London ever Tony Seale Matthew Adams Jessica Talisman Leah Miller Jérémy Ravenel Valentina Alto Caroline Goulard Milan Janosov Bradley Rees Friedrich Lindenberg Peter Crocker Prashanth Rao Dexter Lowe Sofus Macskássy Weidong Yang Paco Nathan Jesse Anderson Adam Wangrat Yoan Sallami, PhD Anthony Alcaraz Chess Stetson Bogdan Arsintescu Dan Selman Zornitsa Manolova Fouli Argyriou Andreas Blumauer Sebastian Müller Hans Viehmann Ricky Sun Tara Raafat, PhD Giuseppe Futia, PhD Achim Reiz Dr Orit Gal Amy Hodler Ben Gardner Russell Jurney Veronika Heimsbakk Christelle Maignan Jane Lomax Simon Jupp Joseph K Iype #ConnectedData #Announcement #Event #KnowledgeGraph #GraphDB #DataScience #AI #GenAI #LLM #RAG #GraphRAG #SemTech #CDL24 https://lnkd.in/dmrRpV4c

How the interconnectedness of music, technology and data will change the future How do we codify the beauty, magic, science and art of music?  And what can we learn from how we play with music data that broadens our thinking in other areas?  Join us in this unique educational and inspirational keynote by NASA Datanaut, AI Thought Leader & Composer LJ Rich  We'll find out why why it’s difficult to read music, why we all have different musical tastes, and explore many entertaining attempts to visualise sound.  Plus, playlist curation as you’ve never heard before - thanks to connected data. https://lnkd.in/d5-ZdP3K #EmergingTech #AI #Keynote #TechTalk #Music #Science #Art #Technology #ConnectedData #CDL24

🔒 Cyber Defense Revolution: Graphs + Financial Security In the high-stakes world of financial cybersecurity, traditional approaches are no longer enough. Here's how graph technology is changing the game 🚀 3 Critical Cybersecurity Challenges for Financial Institutions: • Expanding Digital Attack Surface • Evolving Threat Landscapes • Human Error Risks Graph Technology: The Game-Changing Solution • Visualizes complex data relationships • Reveals hidden threat connections • Enhances real-time threat detection Customer Success Stories: 1. Commonwealth Bank: Complete network visibility through graph technology 2. Standard Chartered Bank: Proactive insider threat detection 3. UBS: Ensuring regulatory compliance with data lineage tracking 💡 Key Insight: Cybersecurity isn't just about defense—it's about intelligent, interconnected protection. Real Impact: Graph algorithms transform how financial institutions: • Predict potential threats • Minimize attack surfaces • Reduce human error risks Want to future-proof your cybersecurity strategy? Have you explored graph-based security solutions? Join Maya Natarajan in Connected Data London 2024 and find out! https://lnkd.in/gEW-wWtv #FinTech #Cybersecurity #GraphTechnology #RiskManagement #Analytics #TechTalk #CDL24

🎉 Black Friday is Here! 🖤 Are you ready for the biggest deals of the year? 🛍️ Sign up for our Connected Data London newsletter to get exclusive early access to our Black Friday 20% OFF discount code - delivered straight to your inbox! 💡 Pro tip: Being on our list also keeps you updated on all the exciting insights, events, and offers in the world of connected data. Act fast- Discount is only valid until Cyber Monday 🚀 🔗 Sign up here https://lnkd.in/ds6JWdi7  #BlackFriday #NewsletterSignup #ExclusiveDiscounts #ConnectedData #TechEvent #KnowledgeGraph #GraphDB #AI #DataScience #Analytics #SemTech #EmergingTech #CDL24

Graphs are increasingly driving the Agentic AI space But why would graphs be superior to using Python? Kurt Cagle addresses the question, sharing advantages: 1. Graphs are language-neutral 2. Each node in a graph is uniquely identified 3. LLMs are surprisingly good at generating and traversing graphs when present 4. You generate an audit trail with a graph 5. It is much easier to safeguard your code 6. Version management also becomes simpler with graph code And disadvantages: 1. Declarative coding agentic systems requires moving out of an imperative mindset 2. Writing graph code directly can be complex 3. You need to incorporate a graph compiler in the system 4. Code injection is a possibility as well 5. Dealing with cached data and data buffer overruns For the full details and conversation, check the link in comments. For the latest #usecases and #innovation on all things #KnowledgeGraph #AI #GenAI #LLM #AgenticAI #EmergingTech #RAG #GraphRAG #DataScience #Analytics, join us in Connected Data London 2024: https://lnkd.in/d-8dFt5a

Data Revolution at IKEA: How Knowledge Graphs Are Reshaping Enterprise Collaboration! 🚀 From siloed information to strategic insight, IKEA's knowledge graph journey proves that smart data can transform how global teams work together. Imagine turning complex data into a powerful, organization-wide asset that drives innovation and breaks down barriers. Key Highlights: ✨ Scaling knowledge graphs across a decentralized retail ecosystem 🤝 Building trust through strategic data communication 🚀 Turning data complexity into competitive advantage Thanks to Andreas Trulsson and Christelle Maignan, discover how IKEA builds trust and secures buy-in across the organization using their Knowledge Graph as a service. Join us at https://lnkd.in/dXEQFbc8. #KnowledgeGraph #DataStrategy #RetailTech #EnterpriseInnovation #TechTalk #CDL24

✨ Go Beyond the Ordinary with Our VIP Experience Tickets at Connected Data London 2024 ✨ Elevate your Connected Data London experience with exclusive VIP privileges: 🎤 Access to the Speaker Lounge – Connect with industry leaders personally. 🎉 Gala Dinner Invitation – Celebrate with us and network in style! 🌟 Priority registration, networking sessions, and more. Ready for an unforgettable experience? Upgrade to VIP today! https://lnkd.in/d7ruwuia

📊 The Future of Cybersecurity: Why Graph-Based Security + AI is a Game-Changer Charlie Bell, Executive Vice President, Security shares Microsoft's latest innovation in cybersecurity architecture. 1. The Problem: • Security analysts are drowning in alerts • Traditional list-based approaches can't keep up • AI-powered threats require AI-powered defense • Siloed security tools create blind spots 2. The Solution: Think Like an Attacker Remember Lambert's Law: "Defenders think in lists, attackers think in graphs." Microsoft's unified security graph approach: • Maps relationships between threats • Provides real-time visibility • Enables proactive defense • Shows actual attack paths 3. It works because modern cloud computing finally makes it possible to: • Process massive datasets in real-time • Map complex attack vectors • Integrate signals across the entire digital estate • Enable AI-powered pattern recognition 4. Real-World Impact: Microsoft's internal testing is showing promising results, and they're partnering with industry leaders like Cisco and Rubrik to expand the ecosystem. 💡 Key Takeaway: The future of security isn't about more tools — it's about better connections between the tools we have. Link in comments. Your thoughts? Have you experimented with graph-based security approaches in your organization? This is a premium application domain for graphs. At Connected Data London 2024, we are featuring a number of talks on the topic - for example: Combating Cyber Threats in Financial Organizations by Maya Natarajan https://lnkd.in/dWCCxT-i Leveraging Knowledge Graphs for Disrupting Criminal Networks by Alessandro Negro https://lnkd.in/dURUq2Bf Join us in London or online to network and learn from Leaders and Innovators! https://lnkd.in/d_mPvCiU #Cybersecurity #AI #TechInnovation #DataScience #Security #Graphs #Analytics

Graph Data Revolution: You Don't Always Need a Graph Database! 🔓 Unlock groundbreaking insights with GPU-accelerated engines Did you know that you don't always need a traditional graph database for graph data? Join Bradley Rees, Senior Manager at NVIDIA, as he introduces cuGraph, the open-source graph engine, and explores its application potential: https://lnkd.in/dVzR4ZmU. #GraphEngine #GraphData #cuGraph #opensource #innovation #EmergingTech #TechTalk #analytics

Protecting vital public health programs with AI and Knowledge Graphs Health and social services are complex domains that have a direct impact on people's lives and where vast amounts of money are spent globally. When funding intended for public health programs is lost to Fraud Waste and Abuse, vulnerable citizens are ultimately the victims. In challenging times, ensuring financial integrity and fairer distribution of services by reducing disparities are among the top priorities for healthcare systems. In this talk, Vanessa Lopez provides a perspective from her journey in adopting research in Knowledge Graphs and AI to address significant societal problems in the healthcare industry. In particular, Knowledge Graphs emerged as a unifying technology that facilitates bringing diverse data sources together to unlock new knowledge and empower professionals to reduce healthcare disparities. Through a combination of natural language understanding, deep learning, and knowledge representation for modelling human-expertise and reasoning, we are investigating unique functionalities to automatically extract actionable knowledge from large text policy documents. We identify medical claims that infringe policy, either intentionally (fraudulent) or unintentionally (e.g., providing unnecessary services or inconsistent with accepted medical practices). We aim to understand the social program levers that drive positive health. --- Vanessa Lopez: Research Scientist and Manager, AI for Health and Social Care, IBM Research - Ireland Vanessa Lopez is a researcher scientist at IBM Research Ireland since 2012 and manager of the AI for Health and Social Care team. Her research combines knowledge representation, semantics, natural language and learning technologies to create applications to support healthcare professionals improve the delivery of care for the most vulnerable, reduce healthcare disparities and protect the integrity of vital public health programs, this work is currently shortlisted for 2020 US-Ireland Innovation award from the American Chamber of Commerce Ireland and the Royal Irish Academy. -- Welcome to Connected Data London's #ThrowbackThursday Every Thursday at 3pm GMT, we are releasing gems from our vault on #YouTube. Tune in and learn from leaders and innovators; subscribe to our channel and watch premieres as they are released! --- Connected Data London 2024 has been announced! December 11-13, Convene Houndsditch 133, London If you liked this video, check #CDL24 for more Presentations, Keynotes, Masterclasses, and Workshops on cutting-edge topics from industry leaders and innovators: #KnowledgeGraphs #DataScience #AI #GraphDB #Analytics #SemTech #EmergingTech #ThrowbackThursday https://lnkd.in/dTPuC3pm