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Axel Schultze

A glimpse into the future of innovation, AI and human ingenuity

Allow me to start the year with a perspective on the future of innovation.

Despite everything that went on in the world, BlueCallom had a great 2021 and 2022 started with a big boost.

LINEAR VERSUS LATERAL THINKING

It is no news that linearly managed business process transformation like digitalization or creating breakthrough innovation, has never really worked out. Linear thinking for any type of complex structure is not really a good idea.

In the fall of 2021, we worked feverishly on finding better ways to visualize the difference between linear and lateral thinking. At the same time, I was asked by our data scientists and engineering team to visualize the data flow in each innovation process episode that feeds the AI system. All charts I’ve seen of lateral processes were hopelessly convoluted visuals where virtually every piece of a process was connected with at least half of all the other processes.

To visualize the complexity we had to build a bridge to a linear model. Once I looked at the process connections, I realized a pattern of parallelity – some actions ran in parallel, and some even in different directions. While a core process is active, a few processes can break out and run outside the core and some even in different directions.

AI is the first technological way
to build laterality with a computer.

Laterality could be shown in a linear manner, visualizing the lateral process. When looking at the AI from autonomous driving, we see a very similar mechanism. 

The chart below compares a linear process on the left column with a lateral process and its many columns to the right. How it works and how this can serve the human mind is described further down.

BlueCallom Lateral Business Process Network

Managing complexity is a very difficult task – no matter what. And if we need to ask teams to creatively innovate but also manage highly complex processes we will either lose the creativity or the manageability. Is that the end of managed innovation? No – not at all. We decided to use Artificial Intelligence for managing almost infinite complexity and all we need to do is to train the system in a way that guides their human companion through the maze. GPS? Compass? Stars? Yes, nothing new but in a very different world transforming the future of innovation.

HOW AI CAN SERVE THE HUMAN MIND – NOT DISPLACES IT

With the above learning we made two important decisions:

  1. We will not ask anybody to become a lateral thinker – instead, we decided to build solutions that do what humans are not so good at, like following complex lateral processes. We are using AI, Neuroscience, and Genetic Computing as the first Human Intelligence Augmentation solution. It is designed to help people stay on top of processes no matter how complex they are. This is freeing the brain to do what it can do best, including innovate, create, socialize, identify meaning, see opportunities, work on unique things, entertain, and countless other talents. 
  2. We will focus on making those innovative and creative jobs highly predictable so they can be judged, assessed, and analyzed before making major investments and giving long-term commitments. Therefore, we developed a unique and very powerful Innovation KPI Framework with 1 core KPI: “Success Probability”. Roughly 200 “Contributing KPIs” and approximately 20,000 data points are used by multiple algorithms to compose the one, ultimate Innovation Success KPI. The BlueCallom KPI Framework is a novel design of cascading KPIs leading to one “Mother Of All KPIs”.  

Human Intelligence Augmentation was an original idea from Douglas C. Engelbart, documented in October 1962. It was Engelbart’s hope that very intelligent machines will help the human mind to perform tasks of nearly endless complexity. However back then this was technically not yet possible. Today we are stepping on his shoulders and are introducing what he has envisioned.
Deep Innovation Design-based innovation processes consist of 10 episodes, with approximately 12 major tasks each and approximately 10 activities in each task. More than 70% are creative, ideation-related tasks that work with stimuli and patterns that we learned from neuroscience. With an innovation team of 10 people, we are dealing with approximately 1,200 thought, research or feedback objects. With reviews, considerations from previous episodes, predictions into new episodes, we reach a staggering 20,000 aspects to consider in such an innovation project. Far too much for a normal human brain to keep in mind while being in a creative process. Either you work more creatively than you can’t manage administrative work at the same time or you follow the rules and never create any substantial innovation. Our laterally organized AI system however can take off all the administrative and coordinative work and let the ingenious minds flow freely, Reports, worrying what the next steps should be, process orientation, and other administrative works are taken care of by the AI system.

WHAT TO EXPECT FROM BLUECALLOM IN 2022

VISION – Our vision remains unchanged, we exist to build the most predictable innovation and business transformation solution helping teams elevate the way people do things.

GROWTH – You may have noticed that we are looking for quite a number of people to join the team and support our vision in the future of innovation. A pretty elaborate hiring process is helping us to find the best possible talents including AI experts and neuroscientists. If you have any connections or ideas to help is get the right talents, we would really appreciate it.

PRODUCT – We can imagine that you want to get your hands on the new system or see it in action. A beta test version and demos for BlueCallom DEEP II are scheduled to be available for selected customers soon. We will publicly introduce it in May 2022.

IN 2022 – We will be able to demonstrate a first step of what was thought to be impossible any time soon: an AI system that will augment human’s intellectual capabilities beyond its natural capacity – and – without drilling holes in the skull. The dream of the late Douglas Engelbart to create Intelligence Augmentation is now becoming a reality. 

HUMAN INTELLIGENCE AUGMENTATION This year we envision the first customers to work with human intelligence augmentation to run their innovation projects. The BlueCallom AI solution is built so that executives will experience a never-before-seen degree of predictability from complex processes in real-time. Innovation or change management teams will experience a level of intellectual support by getting suggestions, reminders, data, and feedback. Envision using BlueCallom, similar to driving a car with GPS and augmented reality. You will still want to decide where to go, what to see, and where to stay – even to drive if you want. But the GPS will tell you the fastest way to your destination, where to find gas stations, restaurants, and points of interest. It even navigates you around traffic jams or accidents. Also in BlueCallom you will still need to create the ideas, explore the hopes and dreams of your customers and define the purpose of your innovation, But reporting, reminding you on meetings, not forgetting what your previous research indicated, reminding you to consider how to bring it to market or not forgetting to consider a great user experience and hundreds of other consideration for an excellent outcome is managed by the AI system. Soon you will be able to do all that by talking and listening to your team and to your BlueCallom – no more computer.

INNOVATION SUCCESS PREDICTABILITY – BlueCallom’s Human Intelligence Augmentation and its approximately 20,000 data points, aggregated throughout the entire process, is allowing the AI system to calculate a never seen before innovation success predictability. Executives can observe the success prediction in real-time and conduct their own risk assessments, decisions to move forward, and any financing approvals.

WHERE WILL WE TAKE IT LONG-TERM?

To build a better future of innovation, we need everybody to be able to innovate and rapidly resolve complexity. Our contribution is to build a solution that allows almost everybody to build their own future. A future of new materials, new technology, new medical systems, new renewable energy, new medication, new transportation, new mobility, new distribution structures, new education models, and more. BlueCallom will further invest in research and science, both on computer science and on neuroscience getting a deeper understanding of how our brain behaves and how we can interface with its natural “APIs”.

Our future lies in building systems and solutions that can amplify and augment the human intellect. With our learning from Neuroscience and AI, Human Intelligence Augmentation is the core of our own development. By the end of 2022, we will invite all our business friends and customers to the first BlueCallomPredict, a small conference for Innovation Thought Leaders to look ever deeper into that future of innovation. :)

INNOVATION THOUGHT LEADER ROUNDTABLE – If you are interested to contribute and supporting our work from the outside, we will continue to develop collaboration with our customers and Innovation Thought Leader Roundtable members. The next Innovation Thought Leader Roundtable will be in March 2022. You will find more info at: https://bluecallom.com/innovation-thought-leader-roundtable/


This is the most exciting, most compelling, and also the most challenging venture I ever had the opportunity to work in. I’m deeply grateful for having amazing minds support this journey.

I wish you a great 2022, whatever is around us, and thank you for all the support!  Together we can do even more for the future of innovation.

Axel Schultze and the BlueCallom Dream Team

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Axel Schultze

10 Things that Change with Neuro Innovation

Neuro Innovation – How ideas get created

Neuroscience had the single biggest impact on our modern understanding of innovation, in particular Neuro Innovation. One key aspect is the realization that ideas don’t come randomly and there are no “magic ideas out of the blue”. The brain composes ideas from past experiences and those compositions represent the power and the limit of our creativity.

Linear vs. Lateral

Your innovative brain thinks lateral. Your logical brain thinks in linear processes. That’s why almost all business tools are built in a linear manner – step by step.  But in recent years one business process has sneaked into our business life: INNOVATION. Yet, this creative process is still handled in a linear way: step by step. For instance “Empathize”, “Design”, “Ideation”, “Prototyping”, and “Testing”.  To make it more flexible, iteration is part of the process but that is still between modules and still not lateral.

Every idea ever created

Knowing how the brain is actually composing, processing, and fine-tuning ideas, has a profound impact on any type of innovation management process. Today, we know that every idea ever created, was a composition of past experiences. Our brain cells or neuron cells can not create any new idea from scratch. We also know that brainstorming has never created a single disruptive business model. We know that disruptive innovation takes on average 6 weeks to create. It will not happen on any hackathon weekend.

Deeper insights are provided during the education programs of the BlueCallom Innovation Management Academy.

Let us now explore the 10 things that change with Neuro Innovation.

1) Lateral Thinking

The good news is that we do not need to train anybody with lateral thinking. It is an integral part of our brain’s superpower. All we need to do is creating awareness of what exactly lateral thinking is and how it behaves. Simply speaking, instead of looking at things in a linear process (step by step | learn and repeat), we look at things in parallel and don’t repeat or iterate until it works. When you drive a car you steer the car, look at the street, once in a while in the rear mirror, on the speedometer, hear music, keep an eye on the remaining fuel, look at the scenery – all at the same time. Your conscious, sub-conscious, and motoric minds, work all in parallel. When you watch movies, you follow the story, wonder if certain things are possible, manage emotions, listen to theatrical music, and more.  When you THINK – any thought – you do that in parallel. When you “create”, meaning build and craft anything your brain works many tasks in parallel. Lateral thinking is a very fast back and forth of thoughts, verifications, and more.

Innovation is taking lateral thinking to perfection.

Attempts to make innovation, in particular ideation, a linear process is a perfect way to kill the outcome. The major episodes in the innovation process are linear and one builds on top of the other, but within the episodes, lateral thinking is the way to go. And one group of humans does it pretty well: startup-teams.
Creating a lateral thinking environment.

2) What should we innovate?

Instead of watching competitors – a far more effective way to innovate is to watch customers. The first question an innovation team should have an answer for is where and for whom they innovate. We know that disrupters could come from anywhere and can change the way an industry segment does business in just a very short period of time. But there is absolutely no magic involved. They simply found out what the respective audience has trouble with – whether they can articulate it or not. So why not do the same for your business? Moreover, you sit right in this market. The best way to find out is to conduct very specific research in your market. No questionnaire and no interview with countless questions. Just a well-guided casual conversation.
Creating leaders not followers

3) Innovation instead of improvement

instead of settling with improvements – focus exclusively on disruptive innovation. In our research, we discovered that the only difference between searching for a disruptive innovation versus settling with an improvement is the time and the way we interact with our brains. So there is no reason to accept an improvement if you can get to disruptive innovation. The first step is to get rid of brainstorming. While brainstorming was a great first step in leveraging the brain in the ideation process, it produced only very obvious ideas. And instead of hoping for a great idea that may strike you like a lightning bolt – our brain is able to get to amazingly disruptive ideas over a sequence of sessions that stimulates new and different searches. The final composition with a highly diverse team can be reached in 4 to 8 weeks of very specific exploration tasks.
Getting truly creative literally and laterally ;) 

4) Leveraging thousands of ideas

Instead of selecting one or only a few ideas from brainstorming – Neuro ideation produces thousands of ideas and idea pieces during a project. You will want to use them all – and you should. A complete disruptive innovation concept has never been just a single idea. Aggregating thousands of inputs including idea pieces, opinion, customer feedback, and research data can no longer be managed with colorful stickers and whiteboards.  You will need computer power to capture all the data, rate and rank them, sort and store them, and finally, analyze them. Looks like work but billion-dollar businesses do not come for free.
Creating full concepts not only ideas

5) In-market idea validation 

Instead of random experimentation in a lab – validate the “idea-success-fit” in your market. There is no better validation than exploration sessions with future clients. The added value of having your audience not only help validate the idea but also help shape it to the real-world application is priceless. To this point, there was not wasted a single penny in prototyping, experimentation, or testing. And please do not fear that somebody can steal your idea. Only weak and obvious ideas can be stolen. Little improvements can easily be stolen, so keep them for yourself – but please do not call them innovation.
Not wasting time, nor money

6) Innovation comes with team diversity

Instead of working only with experts – assemble a highly diverse innovation dream team. Having more of the same experience is of no value in innovation. But having a greatly diverse team brings far better results than the best expert team in the world. Experience diversity is the new order in innovation. On top of all, involve your customers and business partners in the process.
Producing the best possible outcome

7) Market born products

Instead of building prototypes and testing them in labs, use a unique “market born” product design method.  A Minimum Viable Product (MVP) that shows only one feature is more important than a shiny but mediocre improvement. There is no lab that can compete with real user experiences. A lateral collaboration model with your customers and early adopters is bringing you more insights faster than any internal team ever can.
And still – no funding needed so far

8) Innovation financing

Current estimates show that 90% of innovation projects won’t make it to get funding. And the more innovative and disruptive a concept is, the less likely the approval to go forward. This, theoretically insane behavior, stems from the way disruptive ideas get perceived. In particular, finance people are conservative thinkers. Therefore, at last, one finance person should be part of the innovation team. Collaboration with the finance department on a bi-weekly cycle is highly suggested. Also here, neuroscience is an important guide on how to involve the executive bench in innovation projects to prime their thinking with what you are doing. Keep in mind that the next billion-dollar product line will need maybe a 100 million and more investment over time. To get such a financial commitment, the innovation management system must provide an extraordinary set of data to be able to defend an innovative concept. The fifty most innovative businesses from the past 20 years consumed more than $500 Million in funding before they became profitable. And investors worked with the management team on a weekly or monthly basis.
CFOs need relevant financial data – and learn to be an investor

9) Innovation to market

Instead of conventional market introduction, leverage neuroscience to select perfectly matching early adopters for creating a successful path into global markets. Innovative products will NEVER be purchased by 75% of your customer before the first 5% of early adopters got very excited. Most industry segments fail to innovate even with extraordinary solutions because they never had to do this in the past 20+ years. When IBM decided to go with an innovative computer into the market, they created a completely autonomous company: the “red IBM” but still did not manage to really scale it.
What every startup does due to the lack of a customer base

10) Executive level reporting

Executives need to understand every process in an enterprise – no matter what. And the way this is done today is simply through data. The Deep Innovation Design process, when run with the corresponding software provides on average 25,000+ data points to analyze and feed an entire KPI framework. When moving from LINEAR to LATERAL thinking and corresponding methods, we gain an incomparable amount of data. The data ranges from real-time budget consumption along the way, various timelines such as Time-to-Innovate TTI, Time-to-Validation TTV, Time-to-Market TTM, and ROI data that may be even dynamic based on the progress. The data also deliver qualitative data such as Ideation-Network data measuring the degrees of ideation connections and ideation stacks as well as quantitative data like idea contribution volume, contributor network size, or idea validation levels and volume, and more.
Neuro innovation and lateral thinking are the two keys to profoundly different innovation data.

10 things that change with Neuro Innovation

All in all, some of the topics in Neuro Innovation have not even been part of the conventional innovation processes, so that means no change, only additional learning. In other words, we don’t touch existing neuro pathways but help build new ones. Summarizing the new ones:

  • What should we innovate?
  • Innovation Financing
  • Innovation-to-market

Neuro Innovation is a key factor in ideation, idea validation, innovation financing, and innovation-to-market processes.

Deep Innovation Design Training

All the above is part of a new, one-week training: Deep Innovation Design Champion starting Feb 22
See the full program here:

https://bluecallom.com/bcdm-training/

Innovation is no serendipity – Earth is no disk. :)

 

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