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How Artificial Intelligence Is Driving Product Lifecycle Management

How Artificial Intelligence Is Driving Product Lifecycle Management

Today artificial intelligence (AI) is increasingly being integrated into platforms across industries, and the healthcare sector is no exception, with AI being used to support medical device Product Lifecycle Management (PLM).

The ability to apply machine learning to PLM systems can help medical device manufacturers drive insights more effectively from product data that has been collected over many months, or even years, said digital transformation provider Kalypso. This sort of “product lifecycle intelligence” applies AI and automation to help users develop predictions and to recommend improvements, ultimately allowing manufacturers to prevent costly product delays and failures.

Kalypso detailed how one top medical device manufacturer addressed its global challenges by using AI and machine learning to drive measurable business results. “By combining PLM with product lifecycle intelligence,” they said, “companies can bridge the gap in PLM analytics capability today, allowing them to understand current performance, historical averages, and the variances across different business units and functions. These insights can help them develop more meaningful customer experiences, while driving business and product value.”

A Higher Level of Guidance

AI-powered product insights platforms now exist that help companies create and market their products more effectively, and they can contribute meaningfully to every stage of the product development cycle, said AI innovator Rodrigo Pantigas, CPO and co-founder of AI-driven insights startup Birdie, in a recent article for technology news site VentureBeat. Using the right platform during the different stages of the product development cycle can help companies maximize their return on investment.

For example, when conducting competitive assessments and evaluating trends during the initial development stage, AI-driven product intelligence can provide a higher level of guidance beyond human concept testing and social listening. “Instead of latent indicators caused by surfacing reading of comments today, product intelligence platforms can crunch the totality of conversations to understand where customer preferences are going,” reported Pantigas.

Once a product has been built and is ready to launch, “the right intelligence platforms can tap into existing conversations to understand existing customer perception both about the anticipation of this launch and consumers’ ongoing opinions about the product category and competition—which can also help to identify product issues and crises early on,” said Pantigas. “It allows you to contrast your product against the competitive set, as well as identify channels that could help get your product in front of a much wider audience.”

Real-time Metrics

AI offers the ability to generate real-time metrics on a product’s health, growth, and risk factors, which is “important for successful product managers to add an additional layer of efficiency with strategic and operational decision-making,” noted Skyjed, an AI platform provider for product teams. The ability to access data about a product’s health on the fly helps teams make more effective decisions as market conditions evolve, providing them with a competitive advantage.

Dynamic Technologies has a role to play in helping your company identify and manage the lifecycles of connected hardware and software in your supply chain. Our technology supply chain management services include product sourcing, supply chain design, and management, and product procurement. Review our case studies and learn more about how we can help you with your next project.

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