BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Graphwise - ECPv6.17.0//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://gws-sso-test.graphwise.ai X-WR-CALDESC:Events for Graphwise REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Vienna BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20240331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20241027T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20260329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20261025T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250819T170000 DTEND;TZID=Europe/Vienna:20250819T180000 DTSTAMP:20260219T120411Z CREATED:20250807T113041Z LAST-MODIFIED:20260219T120411Z UID:240779-1755622800-1755626400@gws-sso-test.graphwise.ai SUMMARY:How to Think About Agentic AI’s Challenges and Opportunities DESCRIPTION:ON-Demand WEBINAR \n \n \n \n \n \n How to Think About Agentic AI’s Challenges and Opportunities\n \n \n \n \n \n \n \n \n \n August 19\, 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 Gartner predicted in June 2025 that 40 percent of agentic AI projects would be cancelled by 2027 due to a lack of sufficient controls\, resources or clear objectives. In the same report\, however\, Gartner also predicted that 15 percent of daily work decisions would be made autonomously with the help of agentic AI by 2028.  \nWhat do enterprises do to position themselves to take advantage of agentic AI’s promise?  Executives get excited about the prospects of agentic AI when they hear about its numerous business transformation possibilities. But then they worry about agent-based malware or other new classes of vulnerabilities and attack vectors that are emerging.  \nWhat’s less evident but equally concerning is context scarcity. Despite its name and its popularity with applications builders\, Model Context Protocol doesn’t really do more than connect agentic users and models to data resources. It’s a clever wiring protocol\, but if the quality\, contextualized data agents need to consume for their purposes\, doesn’t exist\, the agents will fail. \nOrganizations will be quick to start using MCP\, and they will worry less about wiring up and prototyping agentic AI applications\, but the problems with data quality and effective\, scalable integration and interoperation remain unsolved. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n This webinar will review the most effective\, timely ways to build and evolve a ready data and knowledge foundation for agentic AI:\n\n \n \n \n \n \n \n \n \n \n How do organizations use best practices to create contextualized data? \n \n \n \n \n \n \n \n \n \n \n \n How can a good knowledge graph help with process improvement and identifying the best agentic AI use cases? \n \n \n \n \n \n \n \n \n \n \n \n How do companies harness the power of knowledge engineering and standards-based knowledge graphs? \n \n \n \n \n \n \n \n \n \n \n \n How do they overcome the organizational challenges that often get in the way of agentic AI success? \n \n \n \n \n \n \n \n \n \n \n \n Semantic search enabled in Microsoft Teams documents \n \n \n \n \n \n \n \n \n \n \n \n Microsoft Copilot native integration \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 this webinar to find out more about how to boost your own organization’s data maturity so that successful\, governed AI agent deployments become the norm\, rather than the exception.\n \n \n \n \n \n \n \n \n \n \n \n \n \n Watch Now\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/webinar-how-to-think-about-agentic-ais-challenges-and-opportunities/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/March-25-2025-featured-image.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250819T170000 DTEND;TZID=Europe/Vienna:20250819T180000 DTSTAMP:20250807T113041Z CREATED:20250807T113041Z LAST-MODIFIED:20250807T113041Z UID:252337-1755622800-1755626400@gws-sso-test.graphwise.ai SUMMARY:How to Think About Agentic AI’s Challenges and Opportunities DESCRIPTION:ON-Demand WEBINAR \n \n \n \n \n \n How to Think About Agentic AI’s Challenges and Opportunities\n \n \n \n \n \n \n \n \n \n August 19\, 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 Gartner predicted in June 2025 that 40 percent of agentic AI projects would be cancelled by 2027 due to a lack of sufficient controls\, resources or clear objectives. In the same report\, however\, Gartner also predicted that 15 percent of daily work decisions would be made autonomously with the help of agentic AI by 2028.  \nWhat do enterprises do to position themselves to take advantage of agentic AI’s promise?  Executives get excited about the prospects of agentic AI when they hear about its numerous business transformation possibilities. But then they worry about agent-based malware or other new classes of vulnerabilities and attack vectors that are emerging.  \nWhat’s less evident but equally concerning is context scarcity. Despite its name and its popularity with applications builders\, Model Context Protocol doesn’t really do more than connect agentic users and models to data resources. It’s a clever wiring protocol\, but if the quality\, contextualized data agents need to consume for their purposes\, doesn’t exist\, the agents will fail. \nOrganizations will be quick to start using MCP\, and they will worry less about wiring up and prototyping agentic AI applications\, but the problems with data quality and effective\, scalable integration and interoperation remain unsolved. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n This webinar will review the most effective\, timely ways to build and evolve a ready data and knowledge foundation for agentic AI:\n\n \n \n \n \n \n \n \n \n \n How do organizations use best practices to create contextualized data? \n \n \n \n \n \n \n \n \n \n \n \n How can a good knowledge graph help with process improvement and identifying the best agentic AI use cases? \n \n \n \n \n \n \n \n \n \n \n \n How do companies harness the power of knowledge engineering and standards-based knowledge graphs? \n \n \n \n \n \n \n \n \n \n \n \n How do they overcome the organizational challenges that often get in the way of agentic AI success? \n \n \n \n \n \n \n \n \n \n \n \n Semantic search enabled in Microsoft Teams documents \n \n \n \n \n \n \n \n \n \n \n \n Microsoft Copilot native integration \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 this webinar to find out more about how to boost your own organization’s data maturity so that successful\, governed AI agent deployments become the norm\, rather than the exception.\n \n \n \n \n \n \n \n \n \n \n \n \n \n Watch Now\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/webinar-how-to-think-about-agentic-ais-challenges-and-opportunities-2/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/March-25-2025-featured-image.png END:VEVENT END:VCALENDAR