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DTSTART;TZID=Europe/Vienna:20250724T200000
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DTSTAMP:20260219T120703Z
CREATED:20250618T144119Z
LAST-MODIFIED:20260219T120703Z
UID:239479-1753387200-1753390800@gws-sso-test.graphwise.ai
SUMMARY:Is Your Data Ready for AI?
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Is Your Data Ready for AI?\n			\n				\n				\n				\n				\n				How to Build a Solid Foundation \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				\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				As AI adoption continues to accelerate\, the pressure is on IT leaders and data teams to deliver clean\, reliable and scalable data pipelines. At the same time\, building an AI-ready data foundation requires more than just cleaning up tables – it takes the right architecture\, governance and tools. \nWatch this special roundtable webinar that explores proven best practices\, modern architecture strategies\, and new technologies to optimize your data for successful AI deployment. \nThis expert panel dives into: \n\nThe key technical requirements for AI-ready data\nBest practices for data quality\, integration\, and lineage\nArchitectures that support scale: from data lakes to real-time pipelines\nTools and platforms to streamline AI data prep: from ingestion to semantic enrichment\nHow to align infrastructure with business-driven AI initiatives\n\nWhether you’re managing infrastructure\, pipelines\, or platforms\, this session will give you the practical guidance to build a future-proof data environment for AI. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch Now
URL:https://gws-sso-test.graphwise.ai/event/is-your-data-ready-for-ai-dbta-2025/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/Screenshot-2025-06-18-at-16.24.23.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250724T200000
DTEND;TZID=Europe/Vienna:20250724T210000
DTSTAMP:20250618T144119Z
CREATED:20250618T144119Z
LAST-MODIFIED:20250618T144119Z
UID:252306-1753387200-1753390800@gws-sso-test.graphwise.ai
SUMMARY:Is Your Data Ready for AI?
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Is Your Data Ready for AI?\n			\n				\n				\n				\n				\n				How to Build a Solid Foundation \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				\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				As AI adoption continues to accelerate\, the pressure is on IT leaders and data teams to deliver clean\, reliable and scalable data pipelines. At the same time\, building an AI-ready data foundation requires more than just cleaning up tables – it takes the right architecture\, governance and tools. \nWatch this special roundtable webinar that explores proven best practices\, modern architecture strategies\, and new technologies to optimize your data for successful AI deployment. \nThis expert panel dives into: \n\nThe key technical requirements for AI-ready data\nBest practices for data quality\, integration\, and lineage\nArchitectures that support scale: from data lakes to real-time pipelines\nTools and platforms to streamline AI data prep: from ingestion to semantic enrichment\nHow to align infrastructure with business-driven AI initiatives\n\nWhether you’re managing infrastructure\, pipelines\, or platforms\, this session will give you the practical guidance to build a future-proof data environment for AI. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch Now
URL:https://gws-sso-test.graphwise.ai/event/is-your-data-ready-for-ai-dbta-2025-2/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/Screenshot-2025-06-18-at-16.24.23.png
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