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Artificial Intelligence in NPD

1. The AI Transformation of Product Innovation
Dr. Robert G. Cooper, Jan 2024
The future Is here.… now! It’s time to start the journey in your business.

Artificial Intelligence (AI) is poised to transform the way we conceive, develop and launch new products (NPs). Initial results from early adopting firms are dramatic: reductions in development times of 50% or more; better optimization of product designs; breakthrough discoveries of new products; and better launch planning. Early adopter firms have implemented AI for various reasons, but the number one benefit realized is increased innovation. This AI revolution wave is coming fast, estimated to have a 13-year window of adoption, peaking before the end of this decade. 

The article focuses on AI applications in three target areas in the new product process, where the need for better solutions is high, and where AI applications do yield good results:
 1) idea generation and concept creation and testing; 
2) building a robust business case leading to better “go-to-development” investment decisions; and 
3) the design, engineering, development and testing of the product. 
AI applications are described in each target area with in-depth case illustrations of AI at work in NPD.

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2. How to Transform Your New-Product Development with AI: From Vision to Deployment

Artificial Intelligence (AI) is poised to transform the way we conceive, develop and launch new products (NPs). Initial results from early adopting firms, like GE, Siemens, Nestle, ad Moderna,  are dramatic: reductions in development times of 50% or more; better optimization of product designs; breakthrough discoveries of new products; and better launch planning.

Many firms, or CEOs, are eager to adopt AI. But how do you move ahead with AI in NPD? This article outlines some of the reasons for hesitancy, and ways to deal with these. It also highlights  risks and ethical issues, and how build a robust business case for moving forward. Finally, the article provides a proven "playbook" or "game plan" that is based on technology adoption frameworks using a stage-gate approach; the gameplan also mitigates the perceived risks of adopting AI.  


3. AI and New Product Development: Resources

Artificial Intelligence (AI) has been around for several decades, quietly automating tasks and making things like data analysis more efficient. Only recently has AI has begun to transform new product development (NPD), however. Currently, just 30 percent of new product projects succeed commercially; AI offers tremendous potential for improving NPD results. The AI revolution is set to transform these results. Early-adopter firms have demonstrated that AI has many applications in the NPD process and can yield substantial payoffs—as much as a 50 percent reduction in new product development times. Thus, many firms are getting into adopting AI for NPD, and have set up Task Forces to move this transformation forward.

The article was co-authored with the Editor of the Research-Technology Management journal to meet the needs of many readers of the journal, namely getting up to speed on AI for NPD. The article appeared in the journal’s “Resource” section. It provides many resources that are available to the reader to find out more about AI, AI in NPD, and about many of the applications outlined in the article –  an excellent knowledge source for the Task Force working on your business’s “AI in NPD” transformation initiative. 

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4. The Artificial Intelligence Revolution in New-Product Innovation

Artificial Intelligence (AI) is poised to revolutionize all aspects of business, particularly new-product development (NPD). Leading early-adopter firms demonstrate that AI not only finds many applications in NPD, but also offers substantial payoffs, such as 50% reductions in development times. This article provides an outline of the diverse and powerful applications of AI in NPD, offering numerous examples from leading companies. While AI might still resemble science fiction to many, that future is no longer fiction – it's here now. AI has arrived in full force! With an adoption window of about 13 years, the time is now to embrace AI in NPD in your business.

This article has been accepted for publication in IEEE Engineering Management Review. This is the author's version which has not been fully edited and content may change prior to final publication. Citation information: DOI 10.1109/EMR.2023.333683

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5. The Adoption of AI in New Product Development
Results of a Multi-Firm Study in the US and Europe
To be published in Research-Technology Management Q1 2024

Dr. Robert G. Cooper and Dr. Alexr M. Brem

Artificial intelligence (AI) is transforming all aspects of business, including new product development (NPD). Early adopters of AI for NPD are reaping substantial rewards, witnessing remarkable reductions in development timelines, and experiencing a more rapid pace of innovation. But what about the more typical firm? This article presents the preliminary results of a study of US and Central European companies, shedding light on the current state of AI implementation across 13 key AI applications in NPD. The results are provocative, and we conclude with important messages for management.

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6. YouTube Video: The Artificial Intelligence Revolution in Product Innovation

Artificial Intelligence (AI) is poised to revolutionize all aspects of business, particularly new-product development (NPD). Leading early-adopter firms demonstrate that AI not only finds many applications in NPD, but also offers substantial payoffs, such as 50% reductions in development times. This webinar provides an outline of the diverse and powerful applications of AI in NPD, offering numerous examples from leading companies. Our journey begins at the idea stage and traverses the entire new-product process to the post-launch period.

While AI might still resemble science fiction to many, that future is no longer fiction – it's here now. AI has arrived in full force! With an adoption window of about 15 years, the time is now to embrace AI in NPD in your business. 

YouTube Link:

https://www.youtube.com/watch?v=sZKhyCCJ7FM


7. Winning the 'Product Innovation Game': The 2030 Mandate for Manufacturers
Innovation propels companies to greatness! To survive and prosper, manufacturers must strive to excel at product innovation this decade. Manufacturers will need to make their NPD processes more robust by integrating their Operations staff earlier in the innovation process. To make their innovation process leaner and faster, manufacturers can use Lean-Six Sigma methods, such as Value Stream Mapping. And firms can also build in “build-and-test iterations”, much like in Agile software development, to validate new products technically and with customers – to get the product right first time. Finally, Artificial Intelligence has a big role to play in product innovation, and will be a game-changer in the years ahead in the conceiving, developing and launching new products. The time is now to start build AI into one’s product innovation process.  

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8. The Artificial Intelligence Revolution in New-Product Development
AI is posed to transform  new-product development. The revolution has already begun.. and is already cutting development times by 50% for leading early-adopter firms. Read how -- the full article with lots of examples from use r firms. This article provides an outline of the diverse and powerful applications of AI in NPD, offering numerous examples from leading companies. Our exploratory journey begins at the idea stage and traverses the entire new-product process to the post-launch period. While AI might still resemble science fiction to many, that future is no longer fiction – it's here now. 
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9. Short Video: The AI Revolution in New Product Development

(17-minute video)

Artificial Intelligence (AI) is about to revolutionize all aspects of business, particularly new-product development (NPD). Early-adopter firms – like GE, Siemens, P&G, Pfizer, Nestle & Unilever – demonstrate that AI not only finds many applications in new-product development (NPD), but also offers substantial payoffs, such as a 50% reduction in development times or a 60% increase in the pace of innovation (through-put). Some examples are nothing short of astounding.

This short video provides a good introduction to the topic. Over 40 different unique applications for AI exists in NPD, a bit overwhelming. We provide a map of the landscape to help you understand where AI might best be applied in your business’s NPD efforts. And also a few solid examples of how AI works here.

Be sure to read the full article on this website (same title as video).

https://youtu.be/r0RKGGuetlE


10. Digital Transformation and Its Impact on New-Product Management for Manufacturers

For the manufacturer undertaking new-product development, Digital Transformation means smart new products with embedded software. It also means combining software development methods with the more traditional gating process that manufacturers use. The result is a new more agile gating approach, called Agile-Stage-Gate®, already adopted by some leading manufacturers with very positive results. Digital platforms will also be needed to support the embedded software, thus requiring manufacturers to significantly modify their technology development methods. Finally, Digital Transformation offers new tools for product developers – from testing via simulations, to AI to invent or design the product – that greatly accelerate or enhance the new-product process.

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11. Accelerating Innovation: Some Lessons From the Pandemic

Awarded "Top Article for 2021-2022". The Pandemic taught us that accelerated new-product development is more important than ever, and provided examples of firms developing breakthrough products in record time. Five approaches to accelerated development are outlined here: The first two deal with adequately resourcing new-product projects, namely the use of focused teams; and effective portfolio management to prioritize projects and reallocate resources. Newer digital tools are outlined that speed new-products developments. Finally, two development methods are described that move development projects faster: Lean development and Agile development. Accelerated development also has hidden costs: undertaking less innovative projects and cutting too many corners.

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