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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 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....
In episode 62 of the Mik + One podcast, Gene Kim and Dr. Mik Kersten discuss how AI helps developers work 10 times faster, but most companies aren't set up to take advantage of this speed boost. Mik and Gene talk about the changes in tech setup, leadership, and company structure needed to succeed with AI.
Some uncertainty is inevitable for product-driven organizations. To mitigate risk and maximize value, most organizations perform a comprehensive impact analysis before making any investment decisions. However, some impacts are easier to estimate than others. Microeconomic industry changes, such as demand fluctuations or predictable innovations, are relatively straightforward – for example, automotive organizations can anticipate electric...
New research from McKinsey indicates that workflow redesign has the strongest impact on achieving measurable financial returns from generative AI – more than any other factor studied. At the core of this workflow redesign is the effective use of AI prompts. In this article, we'll show you exactly how to create effective AI prompts for product management and provide 25 ready-to-use examples for using Planview Copilot in your daily work.
As AI rapidly transforms from a niche capability to an essential component of modern project management, organizations face a critical question: how can we leverage AI as a true team member rather than just another tool? In a recent webinar, “AI Team Members: How to Form a More Effective Partnership in Value Delivery,” Andy Jordan...
After a year dominated by discussions of AI and software-defined vehicles, here are three trends to watch in 2025.
What if the principles that transformed software development over the last decade could be the key to successfully implementing AI in your organization? In the latest Mik + One podcast, Dr. Mik Kersten, Chief Technology Officer at Planview, sat down with Patrick Debois, known as the "godfather of DevOps," to explore this question.
A new paradigm is emerging in software development: the era of the LLM-native developer. This transformation isn’t about replacing developers with AI but redefining their roles. Planview’s Chief Data Scientist, Dr. Rich Sonnenblick, explains how.
Software development teams face increasing pressure to deliver high-quality products faster than ever. To meet these demands, organizations are turning to Artificial Intelligence (AI) and Value Stream Management (VSM) as powerful solutions that can streamline their processes and enhance productivity. By integrating AI capabilities into VSM practices, businesses can unlock new levels of efficiency, decision-making...
