BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//PoolParty Semantic Suite - ECPv6.5.1.5//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:PoolParty Semantic Suite
X-ORIGINAL-URL:https://www.poolparty.biz
X-WR-CALDESC:Events for PoolParty Semantic Suite
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:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20210630T160000
DTEND;TZID=Europe/Vienna:20210630T170000
DTSTAMP:20260424T092746
CREATED:20210602T120139Z
LAST-MODIFIED:20250327T153938Z
UID:143184-1625068800-1625072400@www.poolparty.biz
SUMMARY:Webinar: Have a Conversation with your Data using Knowledge Graphs & AI
DESCRIPTION:On-Demand Webinar \n			\n				\n				\n				\n				\n				Have a Conversation with your Data using Knowledge Graphs & AI\n			\n				\n				\n				\n				\n				Question-answering (QA) systems\n			\n			\n				\n				\n				\n				\n				\n				\n				\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						Dennis Diefenbachn\, CEO\, The QA Company \nIoanna Lytra\, Data & Knowledge Engineer\, Semantic Web Company \n					\n				\n			\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Have a Conversation with your Data using Knowledge Graphs & AI\n			\n				\n				\n				\n				\n				“Alexa\, how’s the weather today?” or “Hey Siri\, how many grams are in a cup?” are some of the most asked questions to these well-loved virtual assistants\, which can respond in “normal” dialogue despite being machines. The power of this dialogue is the fact that it’s built on advanced machine learning technologies\, such as question-answering systems\, to process and understand verbal questions and respond in relevant natural language. \nIn the business world\, a solution that combines natural language processing (NLP) techniques with semantic knowledge graphs is proving to be extremely effective. The knowledge graphs\, which serve as a malleable and highly intelligent representation of data\, can be accessed via NLP that interprets the user’s request and converts it into a response. This technology is already widely adopted in the business environment\, where the most obvious added value of a conversational AI platform is improving the customer experience. \nDo you want to learn how you can build your own question-answering systems as powerful as Siri or Alexa? Join our webinar led by Data & Knowledge Engineer\, Ioanna Lytra\, and special guest The QA Company CEO Dennis Diefenbach\, to hear how it works with PoolParty Semantic Suite and QAnswer. \nIn our joint venture\, PoolParty has coupled its rich collection of knowledge graph tools with QAnswer’s advanced NLP technologies to provide this enterprise solution. The webinar will touch on the question-answering system’s various use cases in the business environment\, such as intelligent search platforms for HR recruitment\, product documentation help portals\, end-user information retrieval\, etc. \nAlong with the use cases\, the highlights of this webinar include: \n\nThe main pitfalls of current QA systems\nThe methodology for building\, deploying and using natural language interfaces\n\nUse this webinar to see a strong partnership at work! Learn how you can improve the customer experience and lessen your internal workload with question-answering systems powered by NLP and enterprise knowledge graphs.
URL:https://www.poolparty.biz/events/webinar-question-answering-systems-powered-by-NLP-and-knowledge-graphs
LOCATION:RECORDING AVAILABLE
CATEGORIES:On-demand Webinars
ATTACH;FMTTYPE=image/png:https://www.poolparty.biz/wp-content/uploads/2021/06/Webinar-Have-a-Conversation-with-your-Data-using-Knowledge-Graphs-AI-1.png
END:VEVENT
END:VCALENDAR