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This session is non-PDU bearing Join us for an engaging session where we cut through the noise and clarify what sustainability truly means in project management. We’ll challenge common myths and explore how sustainable practices can be embedded into everyday project work.
As global practitioners, we embark on new adventures, whether through projects, places or people. We’re travelers at heart. In doing so, we might sense a void. This practitioner advocates for "returning home" to the champions that matter most.
This session is non-PDU bearing Join us for an engaging session where we cut through the noise and clarify what sustainability truly means in project management. We’ll challenge common myths and explore how sustainable practices can be embedded into everyday project work.
This four-layer framework embeds sustainability directly into the fabric of project delivery—from the earliest proposal through to closure. Collectively, it represents a roadmap to deliver projects with purpose.
Use this short checklist at project initiation, planning, and throughout delivery to ensure you’re embedding sustainable practices across the four key layers as presented in the article 4 Sustainability Layers Every Modern Project Leader Must Consider.
A sponsor should adopt an investor’s mindset. But what does that look like in practice? Here are five pillars for how investors should think about their interaction with entrepreneurs—with parallels to a sponsor/PM relationship.
Explore the key differences between Lean Six Sigma and Agile, and learn how misapplying tools can hinder true Agility in modern project delivery.
Explore the key differences between Lean Six Sigma and Agile, and learn how misapplying tools can hinder true Agility in modern project delivery.
As Artificial Intelligence (Al) goes on to disrupt decision-making processes in various industries, project managers are increasingly being faced with a moral dilemma: When can Al be relied upon, and when is human interference required? Though Al increases efficiency, minimizes human error, and handles sophisticated data at scale, it also poses risks related to bias, opacity, and unforeseen implications.
As Artificial Intelligence (Al) goes on to disrupt decision-making processes in various industries, project managers are increasingly being faced with a moral dilemma: When can Al be relied upon, and when is human interference required? Though Al increases efficiency, minimizes human error, and handles sophisticated data at scale, it also poses risks related to bias, opacity, and unforeseen implications.
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Disbelief in magic can force a poor soul into believing in government and business. - Tom Robbins |
