amplifying the innovation signal | Paul4innovating Innovation Views

Discover your unique innovator’s Sensory Profile.

I had a most enjoyable and rewarding conversation last week on Innovation and Ecosystem design. It was partly through this conversation with Margot Nijkamp-Diesfeld and Rick Wielens of the Eco System Thinking Institute (ESTI), based in Eindhoven, the Netherlands, that we got into the subject of creating different workshop concepts to stimulate those attending and draw out their greater awareness.

The idea of using all our sensory experiences came up, and I started to think, is there such a thing as having an innovator’s sensory profile? Would they be unique and help to unleash your inner innovator?

Should innovators be more attuned to details, nuances and changes in their environment, potentially allowing them to gather and process information uniquely to generate new insights and make more significant connections?

Over two posts, firstly here, I want to outline what might be in the attributes of an innovator’s sensory profile and in the second post following, the dynamics between sensory awareness and cognitive functions to realize the interconnected nature in seeing the shaping of our worlds in new and potentially radically different ways.

Design Thinking Requires the Human Touch in a World of Technology and GenAI.

Design thinking always requires the Human Touch.

Design Thinking is seen as the essential element that will combine with technology and AI in the future, yet the need for the human touch will still be essential.

As we form more around ecosystem thinking and design, design thinking will be essential as the significant enabler to creative input and provide added dimensions in this combination of human and machine..

There is a fascinating change by embracing Design Thinking principles differently in the future of innovation; organizations can foster a more profound culture of creativity, empathy, collaboration, and user-centricity, one we have often dreamed of in embracing design thinking but so often never achieving. This can lead to a radically different approach to developing innovative solutions, ones that need to consider the interplay between humans, technology, and generative AI.

It’s important to note, though, that while AI can provide valuable insights and technology automation in the design process, human creativity, critical thinking, and empathy remain essential and the core of innovation.

Innovation thinking in Ecosystem and Generative AI design.

Innovation thinking in Ecosystem and Gen AI design

I believe there is a real need to construct a different innovation process. We are rapidly seeing the past of innovating simply in terms of operating on our own.

We must question partnerships we have seen work in the past and ask if they are suitable for the future.

Innovation is undergoing a radical change, in opening up to technology, collaborative thinking and the value of generative AI thinking.

For me, ecosystem innovation and generative AI have arrived at that pivotal point to significantly influence future innovation design. It is where we need to question workflows and processes, as openness has become increasingly central to our thinking and development-building process.

Innovation needs reinventing. There are new ways to capture, extract and deliver value. Adopting ecosystem thinking combined with Generative AI will augment, automate and rapidly scale innovation.

I have been exploring this to support those recognizing change is happening to support this innovation transformation. This follows from several posts in building this into a new approach and thinking over innovation designs.

Diving deeper…..

Embrace AI-driven innovation, it is the future.

Embrace the future of AI-driven innovation.

It has been amazing how AI generative thinking (GenAI) has taken hold. It has only been one year since the launch of ChatGPT, then with a follow-up of GPT-4. In a really fascinating routine or guide to how Generative AI developed, then you should read Bernard Marr’s post It is well worth the read.

As he points out, “Today, Generative AI stands as a testament to the power of human imagination and technological innovation. It has grown from humble beginnings into a sophisticated technology capable of producing remarkable output.”

As Barnard Marr opens his post “Generative AI has the unique ability to create. It can generate new content like audio, art, and text, all by learning from a set of data without explicit instructions.” I feel “explicit instructions” need to be carefully managed.

For me, the last six months or so I have been working with ChatGPT to learn different ways to look at focus areas I spend in advising and mentoring and where innovation links into my different work.

This is rethinking the innovation process, how ecosystem thinking and design can shape our collaborative worlds differently, looking much harder at innovation ecosystems and applying different triggers of thought in how AI generative thinking will influence and shape much of the Energy Transition, as my endpoints.

Recently, I have been looking specifically at the way the (traditional) innovation management process will change. The deployment of AI-driven thinking utterly alters my perspective of “delivering” innovation.

Working together to shape innovation for meaningful change

Shaping Innovation for a Meaningful Change

Following on from my initial post, “Our Need is to Shape Innovation Dynamically, ” this post outlines the eight value-adding points that I can help build out and deliver alongside you in different delivery modules to fit your circumstances and budgets.

My value proposition is to work together to create something that shapes innovation for a meaningful change. To support you in building out your innovation competencies, capabilities and capacity that requires a deeper investment in skill development in a culture of continual learning.

It’s a journey, but it promises the rewards of being at the forefront of industry evolution and transformation. It is a journey of building innovation, fitness and dynamics drawn out in a new way of thinking and design within innovation ecosystems.

Within the value proposition, we actively shape these journeys, building adaptability, agility and innovation for long-term success in the changing business environment we all face today.

Our Need Is To Shape Innovation Dynamically.

In today’s rapidly changing business landscape, the ability to build a strong case, stay informed, and think critically is the key to unlocking success and driving innovation.

For me, this landscape is marked by its dynamism. Here, market trends evolve, new technologies emerge, and consumer preferences shift lightning-fast.

In this environment, success isn’t just about being prepared for change; it’s about actively shaping it. But how can you empower those responsible for innovation to not only navigate this terrain but thrive within it?

We need to navigate a very different terrain that requires a deeper investment in skill development in a culture of continual learning.

Building Innovation Ecosystems need to be connected.

During this week, commencing 15th October 2023, I am discussing and explaining a framework for building innovation ecosystems on my ecosystem4innovators.com posting site.

I have been exploring for some time a transformative concept to move innovation into the world of ecosystems. I outlined my proposed innovation framework in the building blocks necessary. The extended series of posts over thirteen or so, are all here on this posting site, summarized in this post of “The building out of the Composable Innovation Enterprise Framework.”

The focus was on proposing to single entities, and now I want to extend this into the future need to build innovation ecosystems that enable and connect the essential components required.

Innovating the future by combining humans, technology, and AI

The interplay potential in exploring the combination of humans, technology and AI

This interplay between humans, technology, and AI is dynamic and involves continuous interaction, collaboration, and feedback between these elements. The future of innovation, by combining these, offers a very rich promise to provide a fascinating and different future.

Firstly, this interplay needs some higher-level thinking to put some insights into what this interplay might look like and lead to:

The future interplays between design thinking, technology and AI

Exploring the interplay between Humans, Technology and AI for design thinking

Why is design thinking regarded as so crucial to the future of innovation in a world of accelerating interplays between humans, technology and generative AI?

By embracing Design Thinking principles differently in the future of innovation, organizations can foster a more profound culture of creativity, empathy, collaboration, and user-centricity. This can lead to the development of innovative solutions that address real-world problems while considering the interplays between humans, technology, and generative AI.

Firstly, we have the interconnected global marketplace as our context

The change toward an interconnected and conscious global marketplace has been of significant importance, reshaping business strategies, consumer expectations, and societal values.

Has innovation changed over the last ten years?

Innovation is certainly a complex and dynamic process that involves many factors and actors and I certainly feel it has been shifting in its focus. I have been thinking of where we have been placing the emphasis over the past ten years.

I decided to ask GPT-4 what major shifts have occurred in how we approached innovation ten years ago and today. It was suggested that these were the following.

Do you agree, what do you feel is missing? I like the broad shifts indicated but what has been missed?