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:20250205T170000 DTEND;TZID=Europe/Vienna:20250205T180000 DTSTAMP:20260527T042718 CREATED:20250206T122537Z LAST-MODIFIED:20260219T131142Z UID:11566-1738774800-1738778400@graphwise.ai SUMMARY:Discover the next major trend in AI DESCRIPTION:On-demand WEBINAR \n \n \n \n \n \n Discover the next major trend in AI\n \n \n \n \n \n Find mixture of Knowledge AI & Data AI (Causal AI) to power agents\n \n \n \n \n \n \n \n \n \n February 5\, 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 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 Discover the next major trend in AI.\nLearn about techniques that make AI models robust\, explainable\, and fair while making accurate predictions based on causes rather than correlation with examples & use cases from industry. \nLearn from experts to unravel the intricate web of cause-and-effect relationships that govern business operations\, leverage enterprise knowledge to simulate “what-if” scenarios\, and deliver optimal decision-making with agents. \nIdentify nuanced patterns\, anomalies\, and automation opportunities for operational efficiency to identify bottlenecks and constraints and enhance end-to-end business KPI visibility\, improving enterprise decision control.\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 The webinar covers real-life scenarios/problems solved from 2-3 domains – spending 5-7 min on each. \n \n \n \n \n \n \n \n \n \n Problems with traditional AI\n \n \n \n \n \n \n \n \n \n \n \n Why Knowledge and Data AI – Causal AI is needed to solve traditional AI challenges\n \n \n \n \n \n \n \n \n \n \n \n Demo use cases with Causal AI – Asset performance monitoring for the industrial sector \n \n \n \n \n \n \n \n \n \n \n \n \n\nROI / benefits of the approach \n\n\n\n\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 Sumit Pal\n Strategic Technology Director at Graphwise \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Todd Blaschka\n Chief Strategy Advisor at Graphwise (Former Tigergraph - CCO and CRO) \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Jonathan Doan\n Head of Sales at Parabole.ai \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Rajib Saha\n Co-Founder and CEO at Parabole.ai \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Aditya Narayanamoorthy\n Senior Solutions Architect URL:https://graphwise.ai/event/webinar-discover-the-next-major-trend-in-ai/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/webp:https://graphwise.ai/wp-content/uploads/2025/01/01-Discover-the-next-major-trend-in-AI-mixture-of-Knowledge-AI-Data-AI-Causal-AI-to-power-agents-3.webp END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250123T150000 DTEND;TZID=Europe/Vienna:20250123T160000 DTSTAMP:20260527T042718 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 Andrey Tagarev \n AI & Knowledge Engineer at Graphwise \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 12345678\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 Speakers\n \n \n \n \n \n \n \n \n \n \n \n \n Vladimir Alexiev Chief Data Architect at Graphwise \n Vladimir brings vivid IT experience with deep specialization in semantic technologies. Holding an MS and PhD in Computer Science and a PMP certification\, he has led R&D at software companies for over a decade\, working across cultural heritage\, industrial data\, and now power systems. His expertise spans ontology engineering\, knowledge graphs\, RDF/OWL\, SPARQL\, and semantic data integration: the full stack that makes complex\, fragmented data meaningful and machine-readable. At Graphwise\, Vladimir leads the technical vision behind Talk2PowerSystem\, applying semantic web principles to make power system models truly accessible through natural language. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andreas Kimsås Senior IT-architect at Statnett \n Simulation and system analysis of networks has been the main topic throughout his career. It involves various industries (Telecom\, Oil & Gas and now Electrical Grid Networks) and various roles (Ph.D researcher\, systems delivery engineer\, functional architect\, product owner and business domain architect). The assembly and practical use of digital twins is at the center of these activities\, but its complexity puts it out of reach for many of those who could and should be core users. The Talk2PowerSystem project was initiated by Andreas Kimsås in an attempt to democratize these models with the final objective to make it radically easier to use the models for power system analysis.  \n \n \n \n \n \n \n \n \n \n \n \n \n \n Svein Harald Olsen Enterprise Information Architect at Statnett \n Svein is an Enterprise Information Architect specializing in data interoperability and international standardization for the power sector. A member of IEC TC57 WG13 and WG14\, and liaison to ISO BIM and IDO\, he leads key initiatives in ENTSO-E including the CGMES and RCC NCP subgroups. \nRecipient of the IEC 1906 Award (2023)\, he focuses on enabling knowledge-centric architectures through Semantic Web technologies and Linked Data to support digital transformation in energy\, infrastructure\, and manufacturing. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Garcia-Castro Senior Enterprise Data Architect and Ontologist at Siemens \n Experienced and strategic Data Expert with 15+ years of experience delivering enterprise-scale data solutions across energy\, pharma\, procurement\, logistics\, manufacturing\, and chemicals. Senior Data Scientist\, AI Senior Expert\, FAIR Data Architect\, and Ontologist with a proven record of translating complex data challenges into scalable\, governed\, and semantically coherent architectures. Currently leading innovation aspects of the integration layer and AI-related toolkit at Siemens Energy.  Proven success in implementing data mesh principles\, domain-oriented modelling\, and self-service data platforms that scale across international organizations. Deep expertise in cloud-native architectures\, event-driven systems\, and enterprise integration platforms. Strong leadership record managing international teams and scaling global data capabilities across regions. Trusted to drive transformation\, elevate data quality at the source\, and enable intelligent automation across the enterprise. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev AI & Knowledge Engineer at Graphwise \n Andrey specializes in machine learning\, ontologies\, and knowledge graphs. He currently focuses on designing and testing high-fidelity AI agents\, with particular emphasis on building robust evaluation frameworks that ensure agent reliability\, quality\, and scalability. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Neli Hateva Senior Software Developer at Graphwise \n Neli is a Senior Software Developer at Graphwise with over 12 years of experience. With a background in Computer Science and a Master’s in Computational Linguistics\, she specializes in Java\, Python\, and ML/NLP. Since joining Ontotext in 2016\, Neli has focused on transforming state-of-the-art research into scalable\, real-world semantic applications. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Nikola Tulechki Knowledge Engineer at Graphwise \n Nikola is a linguist and knowledge engineer at Graphwise (formerly known as Ontotext) since 2017. Nikola is part of the Research and Innovations group and works on semantic data modelling and integration on various commercial and research projects. He is also the product owner of Ontotext Refine\, the free tool for data conversion built on top of Open Refine. He also did a PhD at Toulouse: NLP over with aerospace data. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Anderson \n Alexander received the Professional Science Masters in power systems engineering from Washington State University and PhD in systems engineering from Colorado State University. From 2016-2020\, Alex was a systems engineer at IncSys Corp\, providing large-scale simulation-based training to transmission system operators worldwide. Alex joined PNNL in 2021 focuses on data integration using the Common Information Model\, development of Agentic AI applications\, and human factors in utility control rooms. 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