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

Leapfrogging

The typical stages might include concept development, design, testing, and launch. At each gate, key criteria are assessed by a cross-functional team, which may include factors like market viability, technical feasibility, and financial projections. Enhance the quality of products developed.

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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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How AI is Improving Early Warning Systems in Project Management

Planview

Project management is akin to navigating a ship in choppy waters. Applying machine learning to project management challenges can pave the way for smarter, more efficient, lower-risk projects and higher-quality products. Let’s explore how AI is shaping the future of project management.

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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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Boosting Innovation: Harnessing AI for New Product & Service Development

Leapfrogging

It helps in identifying opportunities that might not be apparent through traditional analysis and provides a competitive edge by speeding up the development cycle. Research & Development AI tools can simulate and test product scenarios, reducing the need for physical prototypes.

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Unleashing the Power of AI in Innovation Management

Leapfrogging

It consists of a series of phases (stages) where specific tasks are performed and milestones (gates) where decisions are made about whether to proceed to the next stage, halt, or redirect the project. At its core, AI is capable of not only following programmed instructions but also of making decisions based on data analysis and patterns.