Fresh thinking | Paul4innovating Innovation Views

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.

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.

Envision Energy in living, evolving communities that challenge conventional wisdom.

I wrote a mini-series of three posts to introduce a radical concept that envisions the energy transition as a living, evolving entity that bridges technology and nature, sparking profound shifts in how communities generate, consume, and perceive energy.

It aims to trigger innovation engagement and activation strategies to change the energy transition dynamics within a community setting, offering decentralized community energy.

It focuses on the community in a decentralized way for its energy. It challenges established norms and prompts a complete reimagining of our relationship with energy and the environment through innovation, creativity and ecosystem thinking and design.

Imagine transforming the energy transition into a holistic ecosystem of interconnected businesses, each contributing unique value to accelerate sustainable energy adoption.

The links to take you to the sites where you can read the proposed solution are at the bottom of this post.

Introducing the Energy Transition Nexus: A Living Energy Organism” that challenges the Conventional Approach to the Energy Transition

Focusing on the Learning Components of the Composable Innovation Framework

Within the Composable Innovation Enterprise Framework lies the core, the different innovation stacks, and the learning components. Here, I want to briefly talk about the importance of the learning components that support the innovation design and especially the different innovation stacks.

The elements of the innovation stack are designed to support innovation’s core tasks, including learning, absorbing, assessing knowledge management, creativity, design, experimentation, and testing. By modularizing these tasks and their interfaces, organizations can assess their innovation progress by having a complete innovation system available to them, designed on specific stack elements to address knowledge operation requirements in the stage of development to commercialization.

The Innovation Stacks are ready to support different steps in the innovation engagement process

Additionally, with the upgrade in technology and platform approach, we can support the rapidly emerging human-AI collaboration needed for each building block and component and provide a step-by-step validation.

Yet it is the sequence of how we learn that becomes vital to “feed” and build the innovation stacks.

The building out of the Composable Innovation Enterprise Framework.

During May and June 2023, I worked through and concluded my thinking on why we needed to change our Innovation approach from far to often a linear one, and consider a new, more up-to-date, and dynamic solution for managing innovation, one that recognises the non-linear nature of so much of our undertakings today in innovation, from discovery to commercialisation.

I have called this the Composable Innovation Enterprise Framework– here is why and what went into this proposal that I feel should be adopted for managing innovation in the future.

As the investigation, validation, and viewpoints were built up over several posts, I felt summarising the series here gives you the appetite to delve into the posts themselves.

We need to shift our innovative thinking from static to dynamic.

We have been in very static, traditional approaches to innovation, very segmented and often insular, and as so often happens in innovation, it has complexities that seemingly grow and multiple changes, partly from what we discover in the development of new solutions but partly from far more rapid changes in the business landscape and our current innovation process often breaks down and limits the ability to manage this across the whole development to delivery lifecycle.

We need systems and processes that are flexible, adaptable, and can enable continuous improvements but are fully connected, transparent, and integrated across the entire business. We need to approach innovation differently through connected agility, have speed and automation more central, and provide roles for a great diverse set of participants.

A system that encourages forming strategic alliances, partnerships, and knowledge sharing to drive innovation and create shared value in open, thoughtful, and collaborative ways. This is where technology enables these connections and triggers different thinking in the quest for moving toward more extraordinary valuable solutions—the “connected” value of behaviours thinking ecosystems and operating on collaborative platforms.

Visualizing the Composable Innovation Enterprise Framework

The design concept of the Composable Innovation Enterprise Framework

After a series of posts introducing and explaining the thinking and design behind the Composable Innovation Enterprise Framework, I thought it would be a good idea to put this into a sequence of visuals that should take you through this to provide a decent understanding of its make-up and logic.

Organizations in today’s business environment need to adapt rapidly and dynamically, have the need to bring the innovation management process into a constant technological advancement, and be more tailored in its design by their own specific needs and not “offered” as a rigid set of solutions. We need to embrace a significant change in the way we “set about” innovation.

If you are interested in reading more in the series I have been posting then here are the links in the order of posting.

The importance here is recognizing the shift in mindset and thinking towards a Building Block approach to build up the Innovation Stacks. Each stack “sits” on a technology platform. Thinking through what this means requires understanding, relating, and putting a clear context of innovation, what you want to achieve, and how to set about this.

The planning out of this Composable Innovation Enterprise Framework

As I mentioned in a previous post, for any innovation enterprise change, I do not recommend a “big bang” solution; it should be phased to validate and grow to understand, build up validation, justify making the changes, bedding in the thinking needed and approaches to provide the level of returns and the growing understanding of cost/ benefit conversion.

The potential returns, including increased agility, improved innovation outcomes, enhanced collaboration, and long-term competitiveness, make this radical change worthwhile for organizations aspiring to thrive in today’s dynamic business environment. The ability to build the context and show its (ongoing) value makes the difference. You need a systematic approach and project staging plan.