Gene 
Somewhere between the “AI revolution” and the “future of work,” companies collectively lost their minds. In a frenzy to look innovative and data-driven, they handed over one of their most critical human functions—hiring other humans—to algorithms that can’t even explain their own decisions. The result? A beautiful mess of corporate self-sabotage wrapped in buzzwords, dashboards, … Read more
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Introduction Organizations are not simple machines that can be tuned by tightening one screw or swapping out one part. They are living ecosystems made up of people, processes, tools, and norms. These ecosystems operate through dynamic cause-and-effect relationships—feedback loops that can either improve, stabilize or deteriorate the system. System Thinking provides a way to see … Read more
Summary: In this session we have explored the complexities of AI-generated code, copyright ownership, legal challenges that arise with AI, and what this means for developers, businesses, and the future of the software. This session is a great opportunity to gain a deeper understanding of the intersection of AI, intellectual property, and software development. Brad … Read more
Meet “Scrum Master” #1 — the miscast one. This person typically comes from traditional roles like: Project Manager Program Coordinator Agile Delivery Manager/Lead Technical Lead “Agile Tool” Expert Some (not all) of these roles are not inherently bad — in fact, they are valuable in the right context. But they are optimized for command-and-control, delivery-focused, … Read more
When organizations embark on an agile transformation — particularly one that includes Scrum or Large Scale Scrum (LeSS) — a critical moment arises: selecting the Product Owner. It’s a moment filled with implications, because this role is not just a title or a box to check. It’s a keystone. Choose the wrong person, and the … Read more
