BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Graphwise - ECPv6.15.11//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Graphwise X-ORIGINAL-URL:https://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:20250123T150000 DTEND;TZID=Europe/Vienna:20250123T160000 DTSTAMP:20260527T063706 CREATED:20250127T133535Z LAST-MODIFIED:20260225T110359Z UID:11537-1737644400-1737648000@graphwise.ai SUMMARY:Get AI Ready with Graph Center of Excellence DESCRIPTION:On-demand WEBINAR \n \n \n \n \n \n Get AI Ready with Graph Center of Excellence\n \n \n \n \n \n Rethinking Enterprise Data Management for the Age of AI \n \n \n \n \n \n \n \n \n \n January 23\, 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 Márcia R. Ferreira \n AI Engineering Lead at Graphwise \n \n \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 At the dawn of AI\, organizations are still struggling to connect the dots across siloed\, heterogeneous data\, with data governance\, trust\, low data quality\, and much more\, all of which hold back enterprise AI projects. \nGraph technologies are a critical enabler for executing data-driven strategies in the age of AI. Graph-based approaches enhance and simplify data management\, yielding significant cost savings and drastically improving the ability to extract value and insights from data and incorporate them into business decisions and processes. \nThis webinar brings together experts who brainstorm and discuss the crucial need for organizations to cultivate graph technology capabilities to simplify and improve data integration and governance across data silos. It explores how these technologies can enable a wide range of improved outcomes with data\, delivering new capabilities in data analytics and automation that would otherwise be impossible. \nJoin this webinar to explore the rationale for adopting graph technologies strategically in the enterprise by outlining the process of building a Graph Center of Excellence (CoE)\, highlighting its importance\, use cases\, initiation points\, governance requirements\, and best practices for successful implementation. \nAudience: C Level Execs – CDOs\, CDAOs\, CTO\, Enterprise Data Architects \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n What You Will Learn\n \n \n \n \n \n \n \n \n \n Why Organizations Need to Change Their Data Management Paradigm \n \n \n \n \n \n \n \n \n \n \n \n The “Bad Data Tax” Organizations are repeatedly paying with low payoff \n \n \n \n \n \n \n \n \n \n \n \n The Solution to the Data Dilemma \n \n \n \n \n \n \n \n \n \n \n \n Building the Graph Center of Excellence \n\nKey Elements of the Graph CoE\nStrategic Graph Deployment\nUse Cases\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Watch NOW\n \n \n \n \n \n Speakers\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Brandon Richards\n General Manager APAC at Graphwise \n Brandon has spent the last 8 years helping hundreds of enterprises across APAC on their graph technology journey at both Graphwise (Ontotext) and Neo4j. During that time\, he has focused on shifting the “graph” conversations to C-level and senior executives for a more strategic approach to their digital transformations. Prior to that\, he spent 6 years at Oracle working with strategic accounts and founded and managed a commercial real estate strategy firm in Silicon Valley for over 4 years. Brandon is currently based in Kuala Lumpur\, Malaysia. \n LinkedIn\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Sumit Pal\n Strategic Technology Director at Graphwise \n Sumit Pal is an Ex-Gartner VP Analyst in Data Management & Analytics space. Sumit has more than 30 years of experience in the data and Software Industry in various roles spanning companies from startups to enterprise organizations in building\, managing and guiding teams and building scalable software systems across the stack from middle tier\, data layer\, analytics and UI using Big Data\, NoSQL\, DB Internals\, Data Warehousing\, Data Modeling\, Data Science and middle tier. \n LinkedIn\n \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 Márcia R. Ferreira AI Engineering Lead at Graphwise \n Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production. URL:https://graphwise.ai/event/get-ai-ready-with-graph-center-of-excellence/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/webp:https://graphwise.ai/wp-content/uploads/2024/12/01-Webinar-Get-AI-Ready-with-Graph-Center-of-Excellence.webp END:VEVENT END:VCALENDAR