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DTSTART;VALUE=DATE:20260316
DTEND;VALUE=DATE:20260319
DTSTAMP:20260223T162955Z
CREATED:20260119T181811Z
LAST-MODIFIED:20260223T162955Z
UID:244846-1773619200-1773878399@gws-sso-test.graphwise.ai
SUMMARY:QCon London 2026
DESCRIPTION:Meet Graphwise at QCon London 2026\nGraphwise is excited to participate as a sponsor at QCon London 2026\, taking place March 16-18\, 2026\, in London. \nQCon London is a practitioner-led conference for senior software engineers\, architects\, and technical leaders. It brings together people who care about building reliable\, scalable systems and learning from real-world experience. \nGraphwise will be on-site throughout the event at Booth 14\, and we would love to meet you. Stop by our booth to chat with the team\, learn what we are building\, or talk through your data challenges. You are also welcome to stop by just to say hello. \nOur Speaking Session\nAvoid AI Concept Creep with a Knowledge Graph Created in Hours \nTuesday\, March 17 | 3:55 PM GMT (50 minutes)Westminster (4th Floor)Track: Sponsored Solution Track II \nModern data lakes and streaming architectures excel at handling data Volume\, Variety\, and Velocity\, but they fail to preserve the Meaning of data. In this session\, Atanas Kiryakov and Peio Popov will demonstrate how silent changes in data semantics lead to fragile AI systems and how knowledge graphs provide the solution. \nWhat you’ll learn: \n\nWhy schemas describe structure but miss semantics\, and why that matters for AI\nHow “concept creep” silently breaks downstream workflows \nHow Graphwise’s hybrid AI platform turns domain expertise into a shared\, unambiguous knowledge asset\nLive demonstrations of ontology bootstrapping\, automated data validation\, and RAG workflow design\n\nLearn more about our session here. \nLet’s Connect\nPlanning to attend QCon London? We’d love to connect with you! Submit the form below and we’ll reach out to schedule a time to meet at the event\, whether at our booth\, during a coffee break\, or around our speaking session.
URL:https://gws-sso-test.graphwise.ai/event/qcon-london-2026/
LOCATION:QEII Center\, Broad Sanctuary\, London SW1P 3EE\, United Kingdom
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2026/01/Graphwise_2000x1000-2.png
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DTEND;TZID=Europe/Vienna:20260318T235959
DTSTAMP:20260119T181811Z
CREATED:20260119T181811Z
LAST-MODIFIED:20260119T181811Z
UID:252314-1773619200-1773878399@gws-sso-test.graphwise.ai
SUMMARY:QCon London 2026
DESCRIPTION:Meet Graphwise at QCon London 2026\nGraphwise is excited to participate as a sponsor at QCon London 2026\, taking place March 16-18\, 2026\, in London. \nQCon London is a practitioner-led conference for senior software engineers\, architects\, and technical leaders. It brings together people who care about building reliable\, scalable systems and learning from real-world experience. \nGraphwise will be on-site throughout the event at Booth 14\, and we would love to meet you. Stop by our booth to chat with the team\, learn what we are building\, or talk through your data challenges. You are also welcome to stop by just to say hello. \nOur Speaking Session\nAvoid AI Concept Creep with a Knowledge Graph Created in Hours \nTuesday\, March 17 | 3:55 PM GMT (50 minutes)Westminster (4th Floor)Track: Sponsored Solution Track II \nModern data lakes and streaming architectures excel at handling data Volume\, Variety\, and Velocity\, but they fail to preserve the Meaning of data. In this session\, Atanas Kiryakov and Peio Popov will demonstrate how silent changes in data semantics lead to fragile AI systems and how knowledge graphs provide the solution. \nWhat you’ll learn: \n\nWhy schemas describe structure but miss semantics\, and why that matters for AI\nHow “concept creep” silently breaks downstream workflows \nHow Graphwise’s hybrid AI platform turns domain expertise into a shared\, unambiguous knowledge asset\nLive demonstrations of ontology bootstrapping\, automated data validation\, and RAG workflow design\n\nLearn more about our session here. \nLet’s Connect\nPlanning to attend QCon London? We’d love to connect with you! Submit the form below and we’ll reach out to schedule a time to meet at the event\, whether at our booth\, during a coffee break\, or around our speaking session.
URL:https://gws-sso-test.graphwise.ai/event/qcon-london-2026-2/
LOCATION:QEII Center\, Broad Sanctuary\, London SW1P 3EE\, United Kingdom
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2026/01/Graphwise_2000x1000-2.png
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DTSTART;TZID=Europe/Vienna:20260317T160000
DTEND;TZID=Europe/Vienna:20260317T170000
DTSTAMP:20260219T085407Z
CREATED:20260219T085407Z
LAST-MODIFIED:20260219T085407Z
UID:252346-1773763200-1773766800@gws-sso-test.graphwise.ai
SUMMARY:Talk to Your Biomedical Data
DESCRIPTION:Live WEBINAR \n			\n				\n				\n				\n				\n				Talk to Your Biomedical Data\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						March 17\, 2026 \n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 7:00 a.m. – 8:00 a.m. PST\nNew York | 10:00 a.m. – 11:00 a.m. EST\nVienna | 4:00 p.m. – 5:00 p.m. CET \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 register for 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				Biomedical researchers navigate an overwhelming landscape of data: gene ontologies\, protein databases\, disease pathways\, scattered across multiple sources and formats. Finding connections means wrestling with complexity instead of focusing on discovery. On March 17\, we’ll introduce Talk to Linked Life Data\, a solution that enables natural-language querying of complex biomedical datasets. Built on semantic web technologies and our own Linked Life Data Inventory\, it empowers researchers to explore vast\, interconnected knowledge graphs through intuitive conversation. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				We’ll show how this approach:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Uses established reference datasets (GO\, NCBI Gene\, UniProt) to normalize and interlink diverse data sources \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Hides data complexity while enabling intuitive exploration \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Helps researchers uncover disease biology and underlying mechanisms from heterogeneous\, multimodal data \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Join Ilian Uzunov\, Market Lead at Graphwise\, and Todor Primov\, Director Life-Sciences Solutions\, to see how semantic building blocks and natural language interaction are changing the way researchers gain insights from biomedical data. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register for 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/talk-to-your-biomedical-data/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2026/02/Graphwise_Webinar_Talk-to-Your-Biomedical-Data_March_2026_2000x1000_2.png
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