{"id":3382,"date":"2024-12-16T12:35:34","date_gmt":"2024-12-16T18:35:34","guid":{"rendered":"https:\/\/uwm.edu\/csi\/?page_id=3382"},"modified":"2024-12-16T12:45:33","modified_gmt":"2024-12-16T18:45:33","slug":"forecasting","status":"publish","type":"page","link":"https:\/\/uwm.edu\/csi\/workforce-innovation\/workshops\/forecasting\/","title":{"rendered":"Workshop: Generative AI for Time Series Forecasting"},"content":{"rendered":"\n
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Registration is closed<\/div>
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Unlike traditional forecasting methods, generative AI enables deeper analysis of complex patterns and trends, providing an advanced capability to model future scenarios and detect anomalies before they impact operations. This hands-on workshop will equip attendees with practical skills to improve forecasting accuracy, streamline decision-making, and optimize operations in fields such as manufacturing, energy, and sustainability, making it invaluable for professionals seeking a competitive edge in data-driven environments.<\/p>\n\n\n\n

Workshop Highlights<\/strong><\/h2>\n\n\n\n
    \n
  • Gain insights into practical applications of Generative AI in manufacturing, energy, and sustainability, exploring its real-world impact<\/li>\n\n\n\n
  • Uncover uses for foundational generative models beyond Large Language Models (LLMs)<\/li>\n\n\n\n
  • Compare various time series forecasting solutions<\/li>\n\n\n\n
  • See it in action: Build an anomaly detection solution in a hands-on workshop<\/li>\n<\/ul>\n\n\n\n

    Details<\/strong><\/h2>\n\n\n\n
      \n
    • Instructor:<\/strong> Heather MacKinnon-Miller, Principal Technology Specialist, Microsoft<\/li>\n\n\n\n
    • Date\/Time:<\/strong> Wednesday, November 13, 1:00-5:00 PM<\/li>\n\n\n\n
    • Format:<\/strong> In-person with hands-on learning<\/li>\n\n\n\n
    • Location:<\/strong> The Connected Systems Institute at 51ÁÔÆæ<\/li>\n\n\n\n
    • Cost:<\/strong> Free, must register to attend<\/li>\n<\/ul>\n\n\n\n

      About the Instructor<\/strong><\/h2>\n\n\n\n
      \"Heather<\/figure>\n\n\n\n

      Heather MacKinnon-Miller is a Principal Technology Specialist on Microsoft\u2019s AI Global Black Belt team, and a six-year Microsoft veteran. She started her career as a Mechanical\/Aerospace Engineer and has worked extensively in aerospace, R&D and manufacturing. After twelve years in this field Heather made the transition to cloud data & analytics and embraced AI early on. She is driven by applying AI to real-world, high-impact business challenges, and delivering solutions that are not only feasible but also valuable and trustworthy. She believes in cutting through the cruft, removing technical barriers, moving beyond prototypes, and discovering where AI can make the most difference.<\/strong><\/p>\n<\/div>\n\n\n\n

      <\/div>\n\n\n
      Contact<\/div>
      \n

      Please email Casey O\u2019Brien with questions: caseyo@uwm.edu.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

      \"Microsoft
      Sponsored by Microsoft<\/figcaption><\/figure>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1287,"featured_media":3384,"parent":459,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"templates\/centered.php","meta":{"_acf_changed":false,"footnotes":"","uwm_wg_additional_authors":[]},"class_list":["post-3382","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nConnected Systems Institute<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/uwm.edu\/csi\/workforce-innovation\/workshops\/forecasting\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Workshop: Generative AI for Time Series Forecasting\" \/>\n<meta property=\"og:url\" content=\"https:\/\/uwm.edu\/csi\/workforce-innovation\/workshops\/forecasting\/\" \/>\n<meta property=\"og:site_name\" content=\"Connected Systems Institute\" \/>\n<meta property=\"article:modified_time\" content=\"2024-12-16T18:45:33+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/uwm.edu\/csi\/wp-content\/uploads\/sites\/708\/2024\/12\/AdobeStock_799793042-scaled-e1730781317376.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1500\" \/>\n\t<meta property=\"og:image:height\" content=\"400\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/uwm.edu\\\/csi\\\/workforce-innovation\\\/workshops\\\/forecasting\\\/\",\"url\":\"https:\\\/\\\/uwm.edu\\\/csi\\\/workforce-innovation\\\/workshops\\\/forecasting\\\/\",\"name\":\"Workshop: Generative AI for Time Series Forecasting - 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