Artificial Intelligence

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.

25 AI Prompts to Supercharge Your Product Management with Planview

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.

Is DevOps the Key to Successful AI Implementation?

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.

An AI-Driven Framework for Accelerating Software Development

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...

Emergent Challenges in Biopharma Portfolio Management

In 2023, Planview was pleased to sponsor several WHY Summit Events: Basil, Switzerland, and Philadelphia. A year later, we returned to Philadelphia and then headed cross-country to San Francisco for the WHY Summit’s 21st and 22nd American Pharma and Biotech Project, Program, and Portfolio Management Conference. In this blog, we will illuminate a few common...

Should You Build or Buy Your Generative AI Solution?

More than a year after the unveiling of ChatGPT, enterprises are cautiously introducing large language model-driven applications for a multitude of once-miraculous tasks. Explore the pros and cons on both sides of the build vs. buy argument, plus common use cases to support your GenAI aspirations.

Want Your AI Strategy to Win? Don’t Overlook Employee Engagement.

Most strategies carry with them a failure rate of 60-90%. If leaders want their AI bets to pay off, they need to transform strategy implementation from organizational weakness to core competency. Uncover why engagement matters from strategy to execution, plus four actions leaders can take to improve engagement across their organization.

Choosing Your AI Use Case: A Prioritization Framework

Whether you’re just entering the AI arena or it’s your umpteenth time returning, you’ll need a framework in place to gather ideas and prioritize the best ones, minimize the risk you’ll face, and continually assess your opportunities. These executive insights from a recent panel discussion on AI in the enterprise provide the basis for an AI use case decision-making framework that can be applied to quickly identify the right use case.