Live Webinar July 12th, 2016 – 1:00 pm – 2:00 pm  EDT
Duration: 1 hour webinar Credits: 1 PDU Category A – Free PDU
By: ProjectManagement.com / Gantthead (REP #2488)
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According to PMI’s Pulse of the Profession, “When projects do not meet their original goals and project objectives, inaccurate business analysis/requirements management is cited as the primary cause 47% of the time.”

The increasing scale and complexity of projects is making it extremely difficult to assess and verify the project requirements.

As a result – a huge amount of critical errors in project and systems development arise in the initial concept & design stages.

In this presentation and workshop,  Mike Frenette,  and  Jordan Kyriakidis will focus on how harnessing automated computational tools utilizing Natural Language Processing can help project managers ensure their requirements are consistently clear & are a joy to work with.

Project managers, business analysts, engineers and by extension their clients, will benefit in the earliest stages of a project to ensure poorly written requirements do not infiltrate later project stages leading to reduced stress, increased confidence and higher project success.

Presenters:

Jordan Kyriakidis (LinkedIn profile)

Mike Frenette PMP CIPS CMC MCITP (LinkedIn profile @HalifaxPM) Founder of Corvo Project Management; was a principal PM with Sierra Systems for over 16 years. Mike served for over a dozen years with CIPS and PMI, with stints as president of both CIPS Nova Scotia & PMI Nova Scotia. He also led PMI Global’s Technology Member Advisory Group and managed the PMI’s Requirements Management Community with over 8,000 members globally, and is now a member of PMI’s Social Media Advisory Group. Mikes most recent areas of focus include Agile methodologies, enterprise project management, virtual communities and business process change.

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An on-demand recording will be available at the link below
within 24 hours of the live session.

Click to register for:
Rethink Requirements:
The Natural Language Processing Approach