Online Webinar  – Recorded March 1, 2017
Activity Type: Education – Online or Digital Media 1 PDU – Free
Provider: ProjectManagement.com / Gantthead (REP #2488)
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1. Organizations change.
2. They must change (or they disappear).
3. Amidst change, they then struggle to ensure that the different changes they implement are really creating value.

Often, change is perceived like a goal in itself, organizations implement change for the sake of changing and are stuck within a continuous changing loop, accumulating layers of permanent change which appear to be counter-productive, demotivating and dreadful for the organization itself.

In this session Olivier Lazar (LinkedIn profile) will explore how to determine if a change has to occur, and how to ensure it delivers value. Through stability, when the change is not a change anymore.

In the Project Management world, and in the framework defined by PMI® with the PMBOK Guide®, the Program Management Standard and the Portfolio Management Standard, our organizations create the conditions for change (Portfolio Management), assemble the triggers for change (Project Management) and finally deliver the change itself (Program Management) by developing new capabilities.

By developing this continuous processes, some might think that change is an ongoing iterative process, that evolution is a never ending flow of emerging changes.

Actually, it’s not. If the flow of change is continuous in the organization, it doesn’t have the time to absorb the change and realize the expected benefits.

Note: You have to sign in to ProjectManagement.com with your PMI® credentials to register for this opportunity. If you are not signed in with your PMI® credentials you will not see the “Register for this webinar” link

Click to register for:
When Change Is Not A Change Anymore

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Online Webinar – RRecorded June 2024
Activity Type:  Education – Online or Digital Media 1 PDU – Free
Provider: Gartner Webinars

The stakes for artificial intelligence (AI) are so high geopolitically, economically and societally, that governments and enterprises alike must establish a determined approach to responsible innovation and policies.

Gartner predicts that by 2027, the productivity value of AI will be recognized as a primary economic indicator of national power.

The level of excitement for, and fear of, AI and generative AI (GenAI) sparked a growing focus on policy and regulatory work around the globe.

These efforts are happening at all levels of jurisdictions (national, state, local) according to their ethical, constitutional, social, economic, cultural and political underpinnings.

What constitutes a responsible innovation? What should effective AI policies entail? Join Katell Thielemann (LinkedIn profile, Gartner bio) Gartner VP Analyst in this Gartner government webinar as they look at nine AI trends driving policymaking today, and their implications for government strategic plans. You will walk away from this session with answers to your vital questions and a copy of the research slides to help you develop your policies

Discussion Topics:

• Review your strategic plans in light of the 9 top trends for AI policies and regulations
• Develop internal AI policies you can release in plain language that all employees will easily understand
• Use AI policy and regulations efforts in all jurisdictions where you operate as a baseline for your own policies

Return to the web page to watch both the live and on-demand webinar.

Click to register for:
Top Trends In AI Public Policy & Regulations For 2024 & Beyond

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Online Webinar – Recorded June 6th, 2018
Activity Type: Education – Course or Training  1 Hour  1 PDU free
Provider: Training Magazine Network

Click to register for:
How Oracle Improved Engagement & Comprehension
On Training Videos With Captions

NOTE: For PMI® Audit Purposes – Print Out This Post!  Take notes on this page during the presentation and also indicate the Date & Time you attended. Note any information from the presentation you found useful to your professional development and place it in your audit folder.