Return Value Back to Knowledge

May 21, 2018Posted inAdvancing innovation, Building Innovation Capability, Molecules, Shifting dynamics in innovation

“Let’s return knowledge back to knowledge!” “Let’s return value back to knowledge” This held my attention.

So now I want to draw this to your attention, the underlying story. I was recently invited to join the Future Shapers as a contributor and I was delighted to be accepted as a future shapers contributor. this is my profile link.

There are some strong reasons to add my voice to this group so I wanted to share this with you here on my main posting site

Normally I would not try to merge my posting site with others unless I have some growing level of involvement, contribution or strong identification with. Well, this is one of those but I first wanted to wait before I publicize it here, as the official launch of a funding project kicked off late last week in Madrid,(link) that radically gives it a really different meaning, one to draw to your attention as it is radically different.

So let me explain why, so I have provided the outlines of the story below in their words

The Arrival and Potential of Knowledge Graphs into Our World

May 15, 2018Posted inMolecules, Shifting dynamics in innovation7 Comments
Making connections through Knowledge Graphs
https://www.ontotext.com/products/ontotext-platform/

Knowledge Graphs have a real potential to become highly valuable, topical and relevant. If only we can get them prised out of the engineer, data scientists, or software experts hands.

We simply should so we can get this concept fully out into the real world, that of applying as solutions to real client problems, it would really help. I get tired of hearing about “use cases”, where concepts like KG often get caught up in, that never-ending validation.

Is this validation simply because it does not work, it is too much hard work delivering the promise within the concept? Or the approach has too much complexity around it and needs massive resources to undertake?

KG needs a real resource momentum and a determination to break through uncertainty. Its huge value should drive it, and caution should be modified and lets go out and validate it, in the real world.

If any of these “constraints” are the case, then we do need to “hack this” differently, as Knowledge Graphs has what I see an incredible potential, as an application solution that should be deemed as far too important to keep under wraps. We need to instill a sense of urgency into this. Why, well read on.

Applying the Three Horizon Thinking to a Fresh Perspective of Innovation Design

May 6, 2018Posted inAdvancing innovation, Molecules, Tackling innovation3 Comments

There is huge value in applying the three horizon framework into your thinking. It is as useful a framework that you can get, to help decide where you are heading.

It is not just for innovation application, that can determine innovation activities. It has multiple values in any organization thinking and alignment.

The 3H informs the decisions to be taken, by recognizing their importance to the future and ‘frame’ resource allocation, identify current capability gaps to resolve.

It helps to enable the whole organization to “get onto the same page” and move towards that desired future.

This 3H thinking helps break down complex issues. Thinking in different horizons prompts you to go beyond the usual focus of fixing innovation just in the present it provides the connections of the present with the desired future. The 3H builds portfolio design, outline the steps to resolve in any complex challenge, it ‘informs’ strategy and builds the business case for taking a specific direction to that ‘desired future’.

If you want to read more on the three horizons then take some time out to explore the “insights and thinking” resource page shown under the ‘tabs’ above.

I recently applied the three horizons thinking to ‘frame’ a new innovation design

The Dynamics within Agility.

April 23, 2018Posted inAdvancing innovation, Building Innovation Capability, Molecules, Shifting dynamics in innovation

There has been an awful lot to absorb when it comes to skills and how organizations need to be designed for the future. The suggestions have come ‘thick and fast’ from so many sources.

The number of helpful reports, observations and suggestions are constant and becoming overwhelming to translate effectively.

How can we map a new pathway for shifting current practices and transform them?

Where do we focus, what do we recognize as organization practices that can begin to transform the organization and re-equip it for a different future?

After working through a number the one that held my attention and has become central to my thinking to take organizational practices forward was provided by a recent report from McKinsey “How to create an agile organization”. This report has been part of a broader ‘agile’ series from them but this one specifically gave me my necessary anchor point, to move forward with my own design thinking for agility and innovation.

Agility for me is vital, it allows us to increasingly be adaptive in an uncertain world.

As innovation continues to be central to growth far more in the future it is our ability to adapt and adjust to all the uncertainties and this requires the ability to be agile.

Learning a new innovation language

April 1, 2018Posted inAdvancing innovation, Molecules, Shifting dynamics in innovation

We all in the middle of a re-orientation of our ways to undertake innovation as a process and in its design.

The past belief was that a product was your island and pathway to secured profits, today this alone no longer works. We are learning to connect in completely different ways.

We are learning how to interact with a connected system as products move into products services, and digital, all connected and combined.

It is how we design and explores “smart” products and for this we are reliant on others, having a growing dependency on external parties. We are building our innovation in new collaborations and diverse networks of expertise and understanding.

The emergence of platforms and ecosystems within our connected product design are increasingly taking a central role.

So are you learning a new innovation language?

So Where Is Innovation Heading?

March 27, 2018Posted inAdvancing innovation, Building Innovation Capability, Innovation strategy, Molecules, Shifting dynamics in innovation2 Comments

I have written a fair amount about the new innovation era, offering a view on its future design.

One that is jumping to a fresh cycle of innovative design

We are in the middle of it, some of you may not have noticed its impact and change but it is significant on the understanding of innovation, in it’s future design.

Often this era of change is not as well-recognized or being faced up to, as you would expect.

Many companies are still in denial or not wanting to address the significant legacy and change required.

Innovation has gone from being islands of knowledge, developing new products and services exclusive to that one company, then quickly copied by the competitors, into something radically different.

We are moving into innovation activities that are built more on collaborative and co-creation approaches, where cooperation and exchanges are more built around platforms and formed in ecosystems.These ecosystems gather around a concept or transformation that requires this collective approach and require a more radical design and become very unique in the end result .To achieve this innovation has gone digital, pure and simple.

A new paradigm of focusing on ingenuity lies in work to be done

February 14, 2018Posted inAdvancing innovation, Building Innovation Capability, Polymers, Shifting dynamics in innovation1 Comment
a new paradigm for ingenuity

Much of what we read about artificial intelligence, deep learning and robots can present fear of a new paradigm that our jobs are simply going, or vanish fairly soon, so we should find ways to release our human ingenuity.

Technology, machines and information solutions will take over in this new world of accelerating technology with the concern of “so then, what do we do?

Well, I believe we have a real chance to, at last, celebrate. Yes celebrate, we can finally be liberated! Ever since the industrial revolution, we have been caught up in the productivity and efficiency trap, in the monotony of repeating work.

Today we are on the cusp of changing that.  Can you imagine all those boring, repetitive jobs we are faced with today can be simply handed over to machine intelligence, just happy to do the task at hand?

Surely, if we manage this correctly it can release us up, it can enable our ingenuity to thrive and the answer lies in the work to be done

A New Integrated Innovation Engagement System

February 1, 2018Posted inAdvancing innovation, Building Innovation Capability, Leading innovation, Molecules5 Comments

I have written extensively, certainly over the past eighteen months, about our need to take innovation into a new era, designed for today and tomorrow’s “fit for purpose”. Below you will see my view of how I see this sketched out, as my suggested concept outline. Does it make sense?

We have this compelling need to have a new cycle of innovation design. A more integrated solution that takes our understanding of innovation and how to manage it, into the realms of ecosystems and platforms in its design and thinking.

I wrote a piece “Jumping to a fresh cycle of innovation design” that stated much of what I saw as any design intent.

” We need to increasingly rely on problem-solving techniques that we generate through greater automated discovery and inquiry, those that emerge from analysis and data mining. So, we seek out greater applied science knowledge we will use it to support and develop practical applications based on technology and innovation. Utilitarian in its principles, seeking real-world use and implementation through a more creative, collaborative environment, leading to more discoveries that distinctly ‘blend’ the lab application with the customer discovery of unmet need. Through a blend of pattern recognition, predictive analytics and exploring cognitive computing we can change much with innovation”

“We have been steadily learning to adapt what we knew inside an organization with what we should increasingly listen to outside it. There has been an increasing emphasis on linking concepts in new and novel products and services, increasingly closer to these customer needs and desires.

We need to consider how big data and analytics, technology and a far more creative thinking needs to be applied collectively but in greater constellations of partners. We need to get far more comfortable with working in ecosystems, managed in platform designs to work more collaboratively.

Connecting Innovation: Our new order of play

January 6, 2018Posted inInnovation DNA, Innovation Knowledge Understanding, New Innovation Era

There is a lot of change occurring in our innovation abilities.

There is this constant shift to more open-sourcing and collaborating. We are seeing profound shifts that technology and digital transformation are bringing us to deliver innovate differently.

These changes are influencing all of our worlds, allowing a very different “connecting” innovation to come into play and provide ‘greater value’

Nothing succeeds in isolation anymore, it needs fully connecting up, to bring increased value to the market and customer needs.

There are major shifts taking shape. What is radically changing how we innovate? We are seeing a significant acceleration of innovative collaborations through ecosystems and platforms provision.

As we enter 2018 we will need Knowledge Graphs

December 29, 2017Posted inAdvancing innovation, Building Innovation Capability, Shifting dynamics in innovation, Tackling innovation8 Comments

I received an early New Year present, actually, it came from Siemens. They had invited me to their Siemens Innovation Day in mid-December 2017. I really appreciated it, yet it took me time to absorb all that was provided, over these past two weeks.

My early present, well actually an idea, came the day before the event. I was included in the Industry Analysts visit to the Siemens Technology Center, at Neuperlach in Munich. We were provided a variety of insights in different presentations and demonstrations, of the technology they are working upon but one stood out for me, being introduced to Knowledge Graphs.

This one ‘thing’ really caught my attention. It was showcased in the technology center, briefly, as part of a broader set of presentations. It immediately struck me as having the potential to be very vital for the connected innovation I see, as our future.  These few insights set me off on a new train of thought and I scribbled down some hasty notes while listening to this concept. I then was able to review this a little more after the brief presentation. I then started to research on (Industrial) Knowledge Graphs for the initial depth of understanding I was seeking.