BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Engineering Institute of Technology - ECPv6.17.0//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Engineering Institute of Technology X-ORIGINAL-URL:https://www.eit.edu.au X-WR-CALDESC:Events for Engineering Institute of Technology REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Asia/Shanghai BEGIN:STANDARD TZOFFSETFROM:+0800 TZOFFSETTO:+0800 TZNAME:CST DTSTART:20210101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Shanghai:20220317T180000 DTEND;TZID=Asia/Shanghai:20220317T190000 DTSTAMP:20240627T005535Z CREATED:20220114T011149Z LAST-MODIFIED:20240627T005535Z UID:26637-1647540000-1647543600@www.eit.edu.au SUMMARY:Enabling Digital Transformation of Industry With AI and Big Data DESCRIPTION:The live presentation of this event has already taken place. To download the recording and presentation slides\, please complete the form below.\n \nThe digital transformation of industry promises to revolutionize how we live\, work\, and play\, unlocking the vast potential of new use cases and applications. Key in this inflection is the role of information technologies\, such as AI\, big data\, analytics\, and related data ecosystems. \nAI technologies will allow insights and analytics that go far beyond what legacy analytic systems could provide in terms of efficiency\, speed\, and applications that have yet to be envisioned. This is a radical departure from the way in which analytic systems have traditionally been designed akin to the “plug-and-play” approach in enterprise and consumer applications more than a decade ago. \nIn this webinar\, we will discuss how ISO/IEC JTC 1/SC 42\, an artificial intelligence subcommittee\, is designing frameworks and developing standards for ethical considerations and the data ecosystem. We will focus on several use cases to understand how AI and big data are revolutionizing the industry. \n3 key takeaways: \n\nUnderstanding of AI and Data Analytics for industry\nIntroduction to automation standards under development\nUse cases for implementation of AI and machine learning in industry\n\nPresenter: Dr. Imtiaz Madni\, EIT Lecturer \n\nJoin us to learn more at this must-attend event for engineering professionals and aspiring engineers alike. \nReserve your spot at this free webinar today! \n\nThe webinar will be recorded and will be sent out to registered attendees afterwards.\nA certificate of attendance will be provided to attendees who request one near the end of the live webinar session.\n\nPlease note: the time stated on this event is in Australian Western Standard Time (AWST). You will need to convert this to your own time zone. URL:https://www.eit.edu.au/event/enabling-digital-transformation-of-industry-with-ai-and-big-data/ LOCATION:Online CATEGORIES:Technical Engineering Topics Webinar END:VEVENT END:VCALENDAR