{"id":170879,"date":"2023-11-22T13:29:33","date_gmt":"2023-11-22T13:29:33","guid":{"rendered":"https:\/\/www.aviationbusinessnews.com\/?p=170879"},"modified":"2024-01-26T12:53:36","modified_gmt":"2024-01-26T12:53:36","slug":"video-pam-2023-speaker-daniel-williams-microsoft","status":"publish","type":"post","link":"https:\/\/www.aviationbusinessnews.com\/industry-news\/video-pam-2023-speaker-daniel-williams-microsoft\/","title":{"rendered":"VIDEO: PAM 2023 speaker Daniel Williams, Microsoft"},"content":{"rendered":"<h4>Daniel Williams, chief technology officer at Microsoft, will be speaking at the upcoming Predictive Aircraft Maintenance (PAM) Conference 2023.<\/h4>\n<h4>In this video interview with\u00a0<em>MRO Management<\/em>, he discusses industry progress and what he\u2019s looking forward to most at this year\u2019s event.<\/h4>\n<p><em><strong>Click the play button below to watch the video interview with Daniel Williams.<\/strong><\/em><\/p>\n<div class=\"video-embed\"><div class=\"video-embed\"><iframe title=\"VIDEO: PAM 2023 speaker Daniel Williams, Microsoft\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/bjQFDfAnPZg?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div><\/div>\n<p>Following the resounding success of\u00a0<em>Aviation Business News\u2019<\/em>\u00a0Predictive Aircraft Maintenance Conference last year, mark your calendars for November 27-28, as a bigger and better event returns.<\/p>\n<p>In response to overwhelming demand from delegates, and to ensure an exceptional experience for all,\u00a0<a href=\"https:\/\/www.predictiveaircraftmaintenance.com\/\" target=\"_blank\" rel=\"noopener\">Predictive Aircraft Maintenance (PAM) Conference 2023<\/a> has evolved into a two-day event and will take place this year at the prestigious Ham Yard Hotel in London.<\/p>\n<p>With over 100 pre-registered delegates and the support of many leading aviation organisations as sponsors, PAM 2023 already promises to be an unmissable event in the diaries of aviation professionals.<\/p>\n<p>Bringing together senior level executives from airlines, OEMs, MRO specialists, and big data experts, PAM 2023 gives you the perfect platform to learn about the latest developments and upcoming practices in the field of predictive aircraft maintenance.<\/p>\n<p>The exciting agenda will include insightful case studies and interactive panel discussions. Industry experts will explore a variety of topics, including:<\/p>\n<ul>\n<li>The benefits of predictive solutions<\/li>\n<li>The importance of industry standards and collaboration between stakeholders<\/li>\n<li>Best practices in collecting, interpreting and analysing data<\/li>\n<li>Predictive maintenance from an academic perspective<\/li>\n<li>The latest legal and regulatory issues<\/li>\n<li>Aircraft design, development, teardown, recycle and re-use.<\/li>\n<\/ul>\n<p>Just some of the confirmed speakers taking part in PAM 2023 include:<\/p>\n<ul>\n<li><strong>Craig Lynch<\/strong>\u00a0\u2013 predictive maintenance specialist, easyJet<\/li>\n<li><strong>Dr Ip-Shing Fan<\/strong>\u00a0\u2013 senior lecturer in enterprise systems, Cranfield University<\/li>\n<li><strong>David Harper<\/strong>\u00a0\u2013 fleet support director, customer and product support operations, GE Aviation<\/li>\n<li><strong>David Miret Mora<\/strong>\u00a0\u2013 technical director, AJW Group<\/li>\n<li><strong>Amanda Bock<\/strong>\u00a0\u2013 senior analytics engineer, propulsion engineering, Delta Airlines<\/li>\n<li><strong>Bertrand Bianco<\/strong>\u00a0\u2013 sales and partnerships \u2013 health management, Liebherr-Aerospace<\/li>\n<li><strong>Jason Dickstein<\/strong>\u00a0\u2013 president, Washington Aviation Group<\/li>\n<li><strong>Karl Davies<\/strong>\u00a0\u2013 sales director EMEA region, CFM Materials<\/li>\n<li><strong>Matias Bjerregaard<\/strong>\u00a0\u2013 predictive maintenance specialist, Scandinavian Airlines<\/li>\n<li><strong>Anton Straub<\/strong>\u00a0\u2013 programme manager Liebherr Analytics, Liebherr Aerospace<\/li>\n<li><strong>Jaime Ferrer Perez<\/strong>\u00a0\u2013 digital services marketing manager, Airbus<\/li>\n<li><strong>Darren Macer<\/strong>\u00a0\u2013 senior technical fellow, predictive maintenance and health management, Boeing<\/li>\n<li><b>Richard Brown \u2013\u00a0<\/b>managing director, NAVEO Consultancy<\/li>\n<li><strong>Karl Davies<\/strong>\u00a0\u2013 sales director for the EMEA region, CFM Materials<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.predictiveaircraftmaintenance.com\/\" target=\"_blank\" rel=\"noopener\">For more information on attendance and sponsorship opportunities, please click here<\/a>.<\/p>\n<p><em><strong>Click the play button above or head to the\u00a0<a href=\"https:\/\/youtu.be\/bjQFDfAnPZg\" target=\"_blank\" rel=\"noopener\">Aviation Business News YouTube channel<\/a> to watch the video interview with Daniel Williams.<\/strong><\/em><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Daniel Williams, chief technology officer at Microsoft, will be speaking at the upcoming Predictive Aircraft Maintenance (PAM) Conference 2023.<\/p>\n","protected":false},"author":13,"featured_media":170884,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1131,28,267,4174,4172],"tags":[],"class_list":["post-170879","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-news","category-mro","category-latest-news-mro","category-pam-videos","category-pam"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>VIDEO: PAM 2023 speaker Daniel Williams, Microsoft<\/title>\n<meta name=\"description\" content=\"Microsoft&#039;s Daniel Williams discusses industry progress and what he\u2019s looking forward to most at Predictive Aircraft Maintenance 2023.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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