"There's so much that can go wrong," she told The Register. "From the beginning, we're talking with clients, and we're hearing a technology conversation without any type of business input, and that happened today. We're always steering clients back to the fact that this is business transformation. There needs to be executive sponsorship, there needs to be evidence that the organization is actually preparing itself for change - how they're going to operate - and not just replacing an application."
Yes, the Rockies acknowledged the Dodgers' place at the cutting edge of the new baseball with a nod to a 14-year-old movie about a 23-year-old season that ended in a first-round playoff loss. It did not take the worst team in baseball a full week to trump the best team in baseball with an equally jaw-dropping and equally on-brand moment, but you avert your eyes from Rockyball at your own peril.
When the economy feels volatile and companies are navigating change, many of us instinctively wait before initiating a raise conversation. But the truth is, uncertainty isn't a signal to stay quiet-it's a call to lead. Asking for a raise during times of flux doesn't mean you're tone-deaf. It means you understand your impact and are choosing to advocate for it with clarity and courage. You deserve that raise.
"It's amazing how quickly it's moved from being a novelty to rapidly becoming part of the creative instinct itself," he says. Unlike previous technological disruptions like mobile or social media, which took years to reach boardrooms, AI is different.
Refreshing a mission or strategy feels productive. It gives leadership the impression of progress without demanding real disruption. Revising words is easier than confronting entrenched behaviors, broken incentives or outdated processes.
User research insights often fail to drive organizational change because they are not connected to business objectives, making it difficult for stakeholders to recognize their potential impact.
In large, global legacy organizations, the challenge is to shift from an output-focused mindset to an outcome-based approach that values user experience and customer needs.
We believe the most successful organizations will be those that view AI not just as a tool for automation, but as a catalyst for transforming how they approach software development entirely.