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3 Ways to Enable Smarter Product Development with AI

Planview

Even more so, when discussing AI and its purpose and value in product development, it can be easy to fall deep into a rabbit hole of all the possibilities and potential. In this post, we outline three more general applications of AI/ML in product development that deliver results in this quickly expanding field.

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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

The IoMT includes smart devices that provide real-time data, location, and medical monitoring. But as with any innovation, IoMT product development and innovation brings risks that need to be considered. 3 Challenges of IoMT Product Development. Reduce Risk Through Product Portfolio Management.

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

Leapfrogging

By harnessing the power of AI, organizations are able to process vast amounts of data, identify patterns, and make more informed decisions at every phase of the innovation process. Integrating AI into the phases and gates processes is essential for organizations striving to maintain a competitive edge in today’s fast-paced market.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. This framework explains how application enhancements can extend your product offerings. How much value could you add? Brought to you by Logi Analytics.

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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. At its core, AI is capable of not only following programmed instructions but also of making decisions based on data analysis and patterns.

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AI-Powered Design Thinking: Accelerating Innovation and Insights

Leapfrogging

When organizations integrate artificial intelligence in design thinking , they enhance their ability to process large volumes of data, uncover hidden patterns, and deliver personalized experiences. AI complements human creativity, enabling teams to translate complex data into meaningful insights and innovative solutions.

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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.