Your path to business agility
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.
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...
Learn how adopting a structured approach to AI implementation—assessing readiness, setting clear goals, starting with pilot projects, and continuously measuring impact—can help organizations accelerate software development.
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...
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.
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.
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.
Uncover six prevalent anti-patterns that may be embedded in your software delivery process, understand their impact on efficiency and productivity, and learn strategies to navigate them.
It took AI more than 80 years to become an overnight success. Planview's Chief Data Scientist, Dr. Rich Sonnenblick, explores how the early versions of AI matured to today's innovations, like ChatGPT, and why it didn’t happen sooner.
By 2027, Gartner predicts a 50% adoption rate of software engineering intelligence platforms for enhancing developer productivity. Learn how engineering leaders can leverage these platforms to maximize effectiveness and efficiency.
