Author Interview – Brice Ominski: Digital Momentum
Author Interview: Brice OminskiBook Title: Digital Momentum From the Editor: Welcome to the…
Aggregated enterprise architecture wisdom
Author Interview: Brice OminskiBook Title: Digital Momentum From the Editor: Welcome to the…
Editor’s Note: This blog post launches a new series on software implementation. We’re sharing these insights – gleaned from years of working alongside Planview customers on hundreds of unique implementations – to support leaders and teams in finding lasting software success. Today, we hear from Amichai Faran, Director, Planview Evolve Advisory Services.
Author Interview: Lisa WoodallBook Titles: Whatever Next? and The Five Lenses From…
The most powerful metaphor for modern leadership comes from the symphony orchestra. When you watch a conductor at work, they guide the flow of music with their baton. If a musician makes a mistake, they give a subtle tap to get them back on track. What they never do is jump down, grab the instrument,…
According to McKinsey Partner Megha Sinha, who counsels Fortune 500 C-suites on AI and product transformation, companies can’t be AI-first without being product-first.
Since ChatGPT’s debut three years ago, generative AI has evolved from niche experimentation to near-universal enterprise adoption. Consider the latest data from McKinsey. Their November State of AI Report states that 88% of organizations now report regular AI use in at least one business function. That’s up from 78% a year ago, signaling a significant…
by Nadzeya Stalbouskaya Introduction When people in technology hear the…
How AI-powered Cloud Systems Influence Successful System Transitions in SMEs:…
Why Transformation Sticks When Architects Stay Human Just recently, I…
Here’s what most transformation leaders discover the hard way—agile methodology alone hits a ceiling. The real breakthrough happens when you pair a product operating model with your agile practices.
“Garbage in, garbage out” has long been a reality in enterprise data management. But with the rise of autonomous AI agents in the enterprise, the consequences of poor data have never been greater.
Your teams are brilliant. They’re solving complex customer problems, building innovative solutions, and creating real value every day. But they’re fighting your organizational structure to do it.