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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

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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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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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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Using Lean Innovation in the Product Development and Commercialization Process

Moves the Needle

In today’s fast-moving business landscape, the ability to commercialize products quickly and efficiently is imperative. Companies that successfully bring new products to market rapidly, benefit from having a leg up on their competition while diminishing the negative effects of shrinking product life cycles.

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Unleashing the Power of AI in Innovation Management

Leapfrogging

This transformation is visible in various facets of management, including: Strategic Planning : AI algorithms can analyze market trends and consumer behavior to inform the strategic direction of product development. Enhancing Predictive Analysis AI’s predictive capabilities are a game-changer in innovation management.

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Fuel the Engine of Product Growth with an Impeccable Framing Model

Speaker: Scott Sehlhorst - President, Tyner Blain

A product-led company is one that grows through user adoption and word-of-mouth recommendation. Usage by individuals then drives companies to purchase subscriptions or licenses. For this model to work, your product has to be genuinely desirable to the users you want to engage as the company's engine of growth.

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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.