Eye on Innovation: Advancing AI Maturity
Planview's Chief Data Scientist, Dr. Rich Sonnenblick, explores why most AI pilots never scale, and how connected intelligence moves organizations from experiments to enterprise impact.
Dr. Richard Sonnenblick
Chief Data ScientistDr. Sonnenblick, Planview’s Chief Data Scientist, holds years of experience working with some of the largest pharmaceutical and life sciences companies in the world. Through this in-depth study and application, he has successfully formulated insightful prioritization and portfolio review processes, scoring systems, and financial valuation and forecasting methods for enhancing both product forecasting and portfolio analysis. Dr. Sonnenblick holds a Ph.D. and MS from Carnegie Mellon University in Engineering and Public Policy and a BA in Physics from the University of California, Santa Cruz.
AI at the Inflection Point
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,...
Manage Risks, But Don’t Eliminate Them
When companies value stability over innovation, some risks increase: they risk slowly losing market share and fading into the background of their industry. So what do we do? The solution lies in the understanding that effective R&D governance cannot, and should not, distill projects into a single number. Here are five ways to assess and communicate risk in your portfolio.
The Rise of the LLM-Native Developer: Navigating the Future of AI-Integrated Development
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.
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.
A Brief History of AI: From Neural Networks to ChatGPT
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.
Our AI Strategy (and a Blueprint for Yours)
For businesses caught in the present moment, the question is no longer about "if" but "how" to integrate AI into the fabric of their strategies. In this post, we'll dive into Planview's AI journey, showcasing how AI isn't just a tool, but a game-changing ally. Plus, we'll outline a roadmap for your organization to craft its own AI strategy and forge ahead of your peers.
How AI is Improving Early Warning Systems in Project Management
When you combine the AI tools mentioned in this post, you create an early warning system that highlights potential issues even before project managers or product owners would otherwise be aware.
The Revolution is Here: Generative AI and Project Management
In the wake of generative AI technology, we're on the brink of a transformative change in how projects are managed. This post details a sampling of the technology transforming project management today and its advantages.
3 Ways to Enable Smarter Product Development with AI
The adoption and application of AI/ML technologies and capabilities are becoming more commonplace and widespread throughout all industries. Since 2017 this has become especially true in product-driven organizations. For those who may have been slow to catch on or perceive significant skill gaps in AI/ML, scrambling to keep pace might be a scary place to...
