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

Leapfrogging

At each gate, key criteria are assessed by a cross-functional team, which may include factors like market viability, technical feasibility, and financial projections. 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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3 Key Risks for IoMT Product Development

Planview

But as with any innovation, IoMT product development and innovation brings risks that need to be considered. In this article, we’ll discuss the growing and rapidly evolving IoMT market and how manufacturers can effectively manage three critical risks when prioritizing IoMT innovations. 3 Challenges of IoMT Product Development.

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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

The Intersection of AI and Innovation Management Defining Innovation Management with AI Innovation management refers to the process and activities that organizations use to manage and nurture new ideas into marketable products and services. Market Analysis Predictive analytics forecast market acceptance and potential success.

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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. Risk Assessment : By predicting potential hurdles, AI helps in identifying and mitigating risks early in the product development lifecycle.