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X-WR-CALDESC:Events for Graphwise
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DTSTART;TZID=Europe/Vienna:20251001T000000
DTEND;TZID=Europe/Vienna:20251001T235959
DTSTAMP:20250813T162825Z
CREATED:20250813T162825Z
LAST-MODIFIED:20250813T162825Z
UID:252309-1759276800-1759363199@gws-sso-test.graphwise.ai
SUMMARY:Semantic Layer Symposium 2025
DESCRIPTION:Semantic Layer Symposium 2025 is the premier in-person forum for professionals exploring the power of semantic technologies in transforming data into meaningful business intelligence. Held on Wednesday\, October 1\, 2025\, at the luxurious Nimb Hotel in Copenhagen\, this one-day event (with an optional pre-conference workshop) brings together data leaders\, knowledge management professionals\, semantic specialists\, and academics to share real-world strategies and insights. \nAttendees will explore practical use cases\, networking opportunities\, and expert-led sessions focused on implementing semantic layers—from bridging data silos and shaping scalable infrastructure to delivering actionable\, context-rich insights in enterprise environments. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/semantic-layer-symposium-2025-2/
LOCATION:NIMB HOTEL\, Bernstorffsgade 5\, Copenhagen\, 1577\, Denmark
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/semanticlayersymposium2025.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251001
DTEND;VALUE=DATE:20251002
DTSTAMP:20250813T162827Z
CREATED:20250813T162825Z
LAST-MODIFIED:20250813T162827Z
UID:241020-1759276800-1759363199@gws-sso-test.graphwise.ai
SUMMARY:Semantic Layer Symposium 2025
DESCRIPTION:Semantic Layer Symposium 2025 is the premier in-person forum for professionals exploring the power of semantic technologies in transforming data into meaningful business intelligence. Held on Wednesday\, October 1\, 2025\, at the luxurious Nimb Hotel in Copenhagen\, this one-day event (with an optional pre-conference workshop) brings together data leaders\, knowledge management professionals\, semantic specialists\, and academics to share real-world strategies and insights. \nAttendees will explore practical use cases\, networking opportunities\, and expert-led sessions focused on implementing semantic layers—from bridging data silos and shaping scalable infrastructure to delivering actionable\, context-rich insights in enterprise environments. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/semantic-layer-symposium-2025/
LOCATION:NIMB HOTEL\, Bernstorffsgade 5\, Copenhagen\, 1577\, Denmark
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/semanticlayersymposium2025.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251001
DTEND;VALUE=DATE:20251003
DTSTAMP:20250923T092804Z
CREATED:20250618T145737Z
LAST-MODIFIED:20250923T092804Z
UID:239468-1759276800-1759449599@gws-sso-test.graphwise.ai
SUMMARY:Big Data & AI Paris
DESCRIPTION:The Origins of BIG DATA & AI PARISThe rapid development of Big Data in France\, fueled by the growth of Cloud Computing and the opening of public data\, created a clear need for structure and collaboration within the emerging ecosystem. It was in this context that Big Data Paris was launched—bringing together experts\, decision-makers\, and innovators from across the sector. \nA few years later\, with the rise of deep learning and the launch of France’s national AI strategy in 2018\, Artificial Intelligence took center stage. To meet this momentum and support the practical application of AI technologies\, AI Paris was born. \nToday\, Big Data and AI are inseparable. AI relies on data to learn\, and Big Data finds its full value through the intelligent systems that interpret it. To reflect this deep interconnection and help professionals seamlessly explore both domains\, Big Data Paris and AI Paris have united into a single strategic event:🎉 BIG DATA & AI PARIS. \nWhether you want to navigate both fields or dive deeper into one\, BIG DATA & AI PARIS is the ultimate meeting point for those shaping the future of data and intelligent technology. \nWe look forward to meeting you in Paris – register now! \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/big-data-and-ai-paris-2025/
LOCATION:Paris Expo Porte de Versailles\, 1 Pl. de la Porte de Versailles\, Paris\, 75015\, France
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/Big-Data-AI-Paris-2025.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251001T000000
DTEND;TZID=Europe/Vienna:20251002T235959
DTSTAMP:20250618T145737Z
CREATED:20250618T145737Z
LAST-MODIFIED:20250618T145737Z
UID:252305-1759276800-1759449599@gws-sso-test.graphwise.ai
SUMMARY:Big Data & AI Paris
DESCRIPTION:The Origins of BIG DATA & AI PARISThe rapid development of Big Data in France\, fueled by the growth of Cloud Computing and the opening of public data\, created a clear need for structure and collaboration within the emerging ecosystem. It was in this context that Big Data Paris was launched—bringing together experts\, decision-makers\, and innovators from across the sector. \nA few years later\, with the rise of deep learning and the launch of France’s national AI strategy in 2018\, Artificial Intelligence took center stage. To meet this momentum and support the practical application of AI technologies\, AI Paris was born. \nToday\, Big Data and AI are inseparable. AI relies on data to learn\, and Big Data finds its full value through the intelligent systems that interpret it. To reflect this deep interconnection and help professionals seamlessly explore both domains\, Big Data Paris and AI Paris have united into a single strategic event:🎉 BIG DATA & AI PARIS. \nWhether you want to navigate both fields or dive deeper into one\, BIG DATA & AI PARIS is the ultimate meeting point for those shaping the future of data and intelligent technology. \nWe look forward to meeting you in Paris – register now! \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/big-data-and-ai-paris-2025-2/
LOCATION:Paris Expo Porte de Versailles\, 1 Pl. de la Porte de Versailles\, Paris\, 75015\, France
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/Big-Data-AI-Paris-2025.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251001T163000
DTEND;TZID=Europe/Vienna:20251001T173000
DTSTAMP:20250822T105346Z
CREATED:20250822T105346Z
LAST-MODIFIED:20250822T105346Z
UID:252339-1759336200-1759339800@gws-sso-test.graphwise.ai
SUMMARY:Maximizing Productivity with GraphRAG
DESCRIPTION:ON-DEMAND WEBINAR \n			\n				\n				\n				\n				\n				Maximizing Productivity with GraphRAG\n			\n				\n				\n				\n				\n				Five Use Cases of Retrieval Augmented Generation \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						October 1\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                        \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Bringing Confidence to AI \nAre you struggling to realize the full value of your AI initiatives\, facing challenges with data scalability\, user satisfaction\, or even compliance? This webinar will demonstrate how GraphRAG directly addresses these critical business problems and significantly improves AI performance by leveraging enterprise knowledge graphs and a robust semantic layer. \nJoin us for a highly practical session where we will debate five distinct industry use cases\, showcasing real-world applications and measurable outcomes: \n Global Manufacturing: See how GraphRAG provides precise\, quality-assured answers to complex technical questions about systems like hydraulics\, outperforming VectorRAG and pure LLMs in accuracy and enhancing support engineer efficiency. \n Research Organizations: Discover how GraphRAG built a functioning AI assistant for over multilingual policy documents\, exceeding a 95% correct answer rate and substantially enhancing retrieval accuracy. \n Pharmaceutical/Biopharmaceutical Companies: Learn how GraphRAG accelerates the process of bringing new molecules to market by structuring company-wide data into knowledge graphs\, enabling faster deployment of LLMs\, scalability to millions of records\, and automation of business processes like submissions to authorities. \n Software Vendors: Explore how GraphRAG improves self-service portals by preserving content structures and using domain-specific metadata for precise retrieval\, leading to answers that truly interpret user questions and minimize hallucinations. \n Big Four Consultancies: Understand how GraphRAG facilitates knowledge discovery across disconnected content silos\, leading to enhanced content accessibility\, improved collaboration efficiency\, and increased operational agility for internal stakeholders. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				This webinar will reveal how GraphRAG solutions drive tangible benefits and key performance indicators (KPIs) across your organization::\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						AI Accuracy & Reliability: Boost model accuracy to 90–100% and reduce hallucinations using a GraphRAG model grounded in real-world data. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Efficiency & Cost: Cut manual tagging by 60%\, speed up search by 40%\, and reduce duplicate work by 50%\, while lowering RAG costs and LLM usage. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Productivity & Speed: Save 30+ minutes per query\, increase project efficiency by 30%\, and reduce time-to-market by 40%. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Innovation & Growth: Improve access to information and collaboration\, enabling faster decisions and supporting 25% revenue growth. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Compliance & Governance: Automatically map content to regulations\, flag risks\, and ensure auditability with consistent metadata. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						And much more! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch now to learn how GraphRAG transforms disparate data into an “AI-ready data layer” through a multimodal data fabric and a semantic layer\, ensuring comprehensive data utilization and bringing true confidence to your AI initiatives. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/maximizing-productivity-with-graphrag-2/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/October-1-2025-featured-image-web.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251001T163000
DTEND;TZID=Europe/Vienna:20251001T173000
DTSTAMP:20260218T134236Z
CREATED:20250822T105346Z
LAST-MODIFIED:20260218T134236Z
UID:241289-1759336200-1759339800@gws-sso-test.graphwise.ai
SUMMARY:Maximizing Productivity with GraphRAG
DESCRIPTION:ON-DEMAND WEBINAR \n			\n				\n				\n				\n				\n				Maximizing Productivity with GraphRAG\n			\n				\n				\n				\n				\n				Five Use Cases of Retrieval Augmented Generation \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						October 1\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                        \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Bringing Confidence to AI \nAre you struggling to realize the full value of your AI initiatives\, facing challenges with data scalability\, user satisfaction\, or even compliance? This webinar will demonstrate how GraphRAG directly addresses these critical business problems and significantly improves AI performance by leveraging enterprise knowledge graphs and a robust semantic layer. \nJoin us for a highly practical session where we will debate five distinct industry use cases\, showcasing real-world applications and measurable outcomes: \n Global Manufacturing: See how GraphRAG provides precise\, quality-assured answers to complex technical questions about systems like hydraulics\, outperforming VectorRAG and pure LLMs in accuracy and enhancing support engineer efficiency. \n Research Organizations: Discover how GraphRAG built a functioning AI assistant for over multilingual policy documents\, exceeding a 95% correct answer rate and substantially enhancing retrieval accuracy. \n Pharmaceutical/Biopharmaceutical Companies: Learn how GraphRAG accelerates the process of bringing new molecules to market by structuring company-wide data into knowledge graphs\, enabling faster deployment of LLMs\, scalability to millions of records\, and automation of business processes like submissions to authorities. \n Software Vendors: Explore how GraphRAG improves self-service portals by preserving content structures and using domain-specific metadata for precise retrieval\, leading to answers that truly interpret user questions and minimize hallucinations. \n Big Four Consultancies: Understand how GraphRAG facilitates knowledge discovery across disconnected content silos\, leading to enhanced content accessibility\, improved collaboration efficiency\, and increased operational agility for internal stakeholders. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				This webinar will reveal how GraphRAG solutions drive tangible benefits and key performance indicators (KPIs) across your organization::\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						AI Accuracy & Reliability: Boost model accuracy to 90–100% and reduce hallucinations using a GraphRAG model grounded in real-world data. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Efficiency & Cost: Cut manual tagging by 60%\, speed up search by 40%\, and reduce duplicate work by 50%\, while lowering RAG costs and LLM usage. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Productivity & Speed: Save 30+ minutes per query\, increase project efficiency by 30%\, and reduce time-to-market by 40%. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Innovation & Growth: Improve access to information and collaboration\, enabling faster decisions and supporting 25% revenue growth. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Compliance & Governance: Automatically map content to regulations\, flag risks\, and ensure auditability with consistent metadata. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						And much more! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch now to learn how GraphRAG transforms disparate data into an “AI-ready data layer” through a multimodal data fabric and a semantic layer\, ensuring comprehensive data utilization and bringing true confidence to your AI initiatives. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/maximizing-productivity-with-graphrag/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/October-1-2025-featured-image-web.png
END:VEVENT
END:VCALENDAR