PMI session highlighting how generative AI is already improving project outcomes, with high adopters seeing measurable gains in productivity, problem-solving, and delivery performance. The discussion made it clear that success depends less on tools and more on behavior, experimentation, and organizational support that allows project managers to apply AI intentionally and responsibly.

The 2025 InnoTech Conference explored how AI, cloud strategy, and digital transformation are reshaping enterprise IT, with a strong focus on governance, value, and leadership over hype. As an IT project manager, I left with a clearer understanding that AI amplifies strong program management practices while exposing gaps in process maturity, decision-making, and workforce readiness.

As AI reshapes how we manage time, data, and complexity, project managers face a new reality: adapt or fall behind. In this session, Brandon Wilson breaks down how AI tools are shifting PM from task coordination to strategic decision-making—covering real-world use cases, emerging capabilities, and what it actually means to be “AI-augmented” in the workplace.

Starting a project without proper development is like building a house without a blueprint. Before jumping into execution, take a hard look at how your project is structured. This post breaks down the project development process—why it matters, how it differs from project management, and what to watch out for at every phase.