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3 Ways to Enable Smarter Product Development with AI

Planview

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. The landscape is vast, and applications are broad. This is where optimization comes into play.

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Turn the Tables on Product Development Disruptions

Planview

Disruptions to effective product development are constant but don’t need to be detrimental to an organization’s ability to deliver innovation with speed and maintain a healthy ROI. Suppose organizations make adaptability a cornerstone of their product development strategy and overall culture.

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3 Key Risks for IoMT Product Development

Planview

Driven by accelerating technology, the Internet of Medical Things (IoMT) creates an ever-growing network of medical devices and applications that transform patient care and significantly decrease the burden on healthcare systems. But as with any innovation, IoMT product development and innovation brings risks that need to be considered.

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Innovation on Steroids: Next Generation AI-Powered Phases and Gates

Leapfrogging

From its inception to the current state, the processes governing the development of new products and services have continuously evolved to incorporate new methodologies and technologies. AI technologies bring a new dimension of analytical capabilities and insights that were previously unattainable.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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The Role of Innovation in New Product Development: Three Approaches for Success

Qmarkets

Innovation is essential throughout the entire new product development (NPD) process, but nowhere is it more key than it is in the Fuzzy Front End (FFE) stage. FFE is the starting point of NPD and is where new product ideas are generated before entering the formal development process.

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Unleashing the Power of AI in Innovation Management

Leapfrogging

AI technologies offer unprecedented capabilities in data analysis, pattern recognition, and predictive modeling, which can significantly enhance the efficacy of the Stages and Gates process. AI technologies include machine learning, natural language processing, robotics, and computer vision.