Hiring for roles that didn’t exist five years ago is now a reality, not a rarity. AI has fundamentally altered the landscape of work, and with it, the way we think about talent.
Hiring for roles that didn’t exist five years ago is now a reality, not a rarity. AI has fundamentally altered the landscape of work, and with it, the way we think about talent.
In this episode of Tech on Tap, the ConsultNet team recaps an incredible week at Workday Rising – where innovation, Al, and community took center stage.
AI is rewriting the rules of business. Every industry is talking about the tools, platforms, and algorithms that will transform their future. But without the right talent, even the most advanced systems sit idle.
“AI ISN’T COMING. IT’S HERE. AND THE ORGANIZATIONS THAT DON’T ADAPT WILL BE LEFT BEHIND.” That line isn’t just for attention. It’s your strategic alarm bell. AI isn’t a side project; it’s fundamentally reshaping the way organizations operate.
In this episode of Tech on Tap, we sit down with Sam Peterson, a seasoned technology executive and strategic product leader with more than 25 years of experience driving growth through innovation, scalable architecture, and user-centered development.
It’s Monday morning, and you’re announcing yet another “exciting opportunity for transformation.” A new AI tool rollout. Cloud migration phase three. Another restructuring to “optimize for efficiency.” Your team’s cameras might be on, but their eyes say what they won’t: they’re exhausted.
In a world where software is released hundreds of times a day, most PMOs are still approving projects like it’s 2007. We recently worked with a Fortune 500 CTO whose digital transformation was floundering.
I’ve seen IT leaders make major investments in new technology only to discover the root problem wasn’t the system at all. The real difference comes when strong talent is paired with smart process design.
As environments grow more complex, traditional I&O teams can’t scale fast enough to keep up. But your infrastructure can. Traditional Infrastructure & Operations (I&O) teams are hitting a wall.
Rushed AI tools and standalone apps are failing at alarming rates—not because the technology isn’t advanced enough, but because they weren’t built collaboratively.