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Artificial intelligence (AI), once the stuff of science fiction novels, is now not only a reality but is rapidly breaking into mainstream use. The right AI-based tools allow organizations to bridge disparate data silos, extract meaningful insights from their data, and make better, faster decisions. Learn how the newest innovations in AI can help enterprises speed time-to-value and deliver better business outcomes. Survive and thrive in this latest age of digital disruption.
We’re living through a strange disconnect in resource management. Organizations have invested heavily in project management tools—Jira, Asana, Monday, Smartsheet—yet the most fundamental question still gets answered with guesswork: “Who’s available to take on this project next month?” We’ve digitized the tasks, but we haven’t solved the chaos. And here’s the kicker: research shows that...
Engineering is a discipline built on precision, planning, and control. But anyone who has ever led a software delivery organization knows that even the most carefully laid roadmap can unravel the moment conditions shift. Week to week, leaders balance capacity, dependencies, incidents, and shifting business priorities, all while navigating an environment that changes faster than...
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.
Strategy execution has never been harder. Markets shift overnight, priorities change in weeks, and opportunities vanish if you can’t move fast. Speed and flexibility feel less like differentiators and more like survival skills. If complex approvals, disconnected tools, and reactive reporting are still slowing you down, you’re not just behind schedule anymore. You’re at risk...
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...
Note from Editor: This post is adapted from Dr. Rich Sonnenblick’s presentation at the 30th European Biopharma Project, Program, & Portfolio Management Conference in Basel. In his presentation, Dr. Sonnenblick dispelled the hype surrounding AI and agents, while sharing concrete examples of how drug development teams are saving hundreds of hours, de-risking their clinical pipelines,...
AI in the enterprise isn’t a switch from assistant to autonomous; it’s a spectrum of capabilities. Understanding that spectrum is how organizations move from curiosity to confidence. Planview Chief Data Scientist Dr. Rich Sonnenblick and Planview CEO Razat Guarav take the time in this enlightening video to break down how AI agents are transforming strategic...
"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.
We’re living through one of the most extraordinary moments in business history – the rise of AI. This is not just another wave of technology; it’s a revolution that is reshaping industries, redefining customer expectations, and transforming how work gets done. And here’s the exciting part: we are right in the middle of it.
Sometimes, running an enterprise feels a bit like trying to build a house during an earthquake. One day, you’re dealing with disruptive technology and changing customer needs, next, it’s budget pressures and fears of a recession looming. Just when you think you’ve got your footing, government policy changes abruptly and forces you to rethink everything....
