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BEGIN:VEVENT
DTSTART:20260304T163000Z
DTEND:20260304T200000Z
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SUMMARY:Workshop: Using ChatGPT in Predictive and Agile Projects
DESCRIPTION:PLEASE NOTE: This training has eligibility requirements for participation listed below - please read carefully\n\n\n\n\n\nThe objective of the Using ChatGPT in Predictive and Agile Projects course is to provide guidance to participants on how to create project plans and work in project delivery using input from the AI tool ChatGPT. This course provides a place where participants can share ideas on creating workable project plans using the intelligence of this tool.\n\n\n\nDespite widespread reports of organizations heavily investing in AI\, the 2023 PMI Annual Global Survey on Project Management found that only 21% of respondents are using AI always or often when managing projects. Compared to the 82% of senior leaders who say AI will have at least some impact on projects\, there's a disconnect between current and aspirational use.\n\n\n\nThis course shows how to integrate AI\, through ChatGPT and PMI Infinity\, in projects. We will go through numerous examples of doing so\, and participants will practice using these tools to gain knowledge and experience.\n\n\n\nThe expected impact of this training will be more knowledgeable personnel who are using the new AI tools effectively for the specific application of project management. Due to the shared information provided by the tool\, we expect that participants will have more accurate project plans that take less time to develop.\n \n\n\nMEET YOUR FACILITATOR\n\nBrenda Fay\n\nPMP\, PMI-ACP\, CSM\n\n\n\nBrenda Fay is a seasoned project management trainer and consultant based in Halifax\, Nova Scotia\, with more than 30 years of experience helping organizations deliver results through effective project and Agile practices. Holding PMP\, PMI ACP\, and Certified Scrum Master credentials\, she has trained thousands of professionals and worked with organizations across aviation\, engineering\, information technology\, construction\, manufacturing\, healthcare\, government\, and non profit sectors.\n\n \n\nBrenda is known for her ability to translate complex project management concepts into practical\, easy to apply tools that drive clarity\, alignment\, and measurable outcomes. Her engaging workshops and consulting engagements blend proven frameworks with real world experience\, making project management relevant and actionable\, especially in fast changing environments. In recent years\, her work has focused on integrating AI into project workflows\, enabling teams to forecast more accurately\, automate intelligently\, and deliver value faster.\n \n\n\nELIGIBILITY GUIDELINES\n\nAs per the guidelines for LSI funding\, there is eligibility criteria for participants. **\n\nA business is eligible to participate if it:\n\n\n	is located in Nova Scotia\n	is registered and active in the Nova Scotia Registry of Joint Stock Companies or incorporated by an Act of the Nova Scotia Legislature\n	has a direct workforce development need (like upskilling employees\, adopting new technologies or addressing critical skills gaps within their industry)
X-ALT-DESC;FMTTYPE=text/html:<p style="text-align: center\;"><span style="color:#FF0000\;"><span style="font-size:18px\;"><em><strong>PLEASE NOTE: This training has eligibility requirements for participation listed below - please read carefully</strong></em></span></span><br />\n<br />\n<img alt="" 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" /></p>\n\n<p><span style="font-size:16px\;">The objective of the Using ChatGPT in Predictive and Agile Projects course is to provide guidance to participants on how to create project plans and work in project delivery using input from the AI tool ChatGPT. This course provides a place where participants can share ideas on creating workable project plans using the intelligence of this tool.<br />\n<br />\nDespite widespread reports of organizations heavily investing in AI\, the 2023 PMI Annual Global Survey on Project Management found that only 21% of respondents are using AI always or often when managing projects. Compared to the 82% of senior leaders who say AI will have at least some impact on projects\, there&rsquo\;s a disconnect between current and aspirational use.<br />\n<br />\nThis course shows how to integrate AI\, through ChatGPT and PMI Infinity\, in projects. We will go through numerous examples of doing so\, and participants will practice using these tools to gain knowledge and experience.<br />\n<br />\nThe expected impact of this training will be more knowledgeable personnel who are using the new AI tools effectively for the specific application of project management. Due to the shared information provided by the tool\, we expect that participants will have more accurate project plans that take less time to develop.</span></p>\n&nbsp\;\n\n<hr />\n<h2><span style="font-size:16px\;"><strong>MEET YOUR FACILITATOR</strong></span></h2>\n\n<div style="background:#eee\;border:1px solid #ccc\;padding:5px 10px\;"><strong style="font-size: 16px\;">Brenda Fay</strong><br />\n<font size="3"><b>PMP\, PMI-ACP\, CSM</b></font><br />\n<br />\n<img height="240" src="https://chambermaster.blob.core.windows.net/userfiles/UserFiles/chambers/2481/Image/WIPSI/BrendaFay.jpg" style="margin-left: 12px\; margin-right: 12px\; float: left\; width: 240px\; height: 240px\;" width="240" />Brenda Fay is a seasoned project management trainer and consultant based in Halifax\, Nova Scotia\, with more than 30 years of experience helping organizations deliver results through effective project and Agile practices. Holding PMP\, PMI ACP\, and Certified Scrum Master credentials\, she has trained thousands of professionals and worked with organizations across aviation\, engineering\, information technology\, construction\, manufacturing\, healthcare\, government\, and non profit sectors.<br />\n&nbsp\;<br />\nBrenda is known for her ability to translate complex project management concepts into practical\, easy to apply tools that drive clarity\, alignment\, and measurable outcomes. Her engaging workshops and consulting engagements blend proven frameworks with real world experience\, making project management relevant and actionable\, especially in fast changing environments. In recent years\, her work has focused on integrating AI into project workflows\, enabling teams to forecast more accurately\, automate intelligently\, and deliver value faster.</div>\n&nbsp\;\n\n<hr />\n<h2><strong><span style="font-size:16px\;">ELIGIBILITY GUIDELINES</span></strong></h2>\n\n<p><span style="font-size:16px\;"><strong>As per the guidelines for LSI funding\, there is&nbsp\;eligibility criteria&nbsp\;for participants. **</strong><br />\n<span style="font-family: arial\;">A business is eligible to participate if it:</span></span></p>\n\n<ul>\n	<li style="border: 0px\; font: inherit\; margin: 0px\; padding: 0px\; vertical-align: baseline\; color: inherit\;"><span style="font-size: 16px\;"><span style="font-family: arial\;">is located in Nova Scotia</span></span></li>\n	<li style="border: 0px\; font: inherit\; margin: 0px\; padding: 0px\; vertical-align: baseline\; color: inherit\;"><span style="font-size: 16px\;"><span style="font-family: arial\;">is registered and active in the Nova Scotia Registry of Joint Stock Companies or incorporated by an Act of the Nova Scotia Legislature</span></span></li>\n	<li style="box-sizing: border-box\;"><span style="font-size:16px\;">has&nbsp\;a direct workforce development need (like upskilling employees\, adopting new technologies or addressing critical skills gaps within their industry)</span></li>\n</ul>\n
LOCATION:Halifax Chamber of Commerce Lighthouse Boardroom 100-32 Akerley Blvd Dartmouth\, NS
UID:e.2481.4386
SEQUENCE:3
DTSTAMP:20260416T123001Z
URL:https://business.halifaxchamber.com/events/details/workshop-using-chatgpt-in-predictive-and-agile-projects-4386
END:VEVENT

END:VCALENDAR
