Return Value Back to Knowledge

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

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.

The Dynamics within Agility.

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

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?

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.

The new ROI for digital innovation

Innovation has had a bigger brother moving into the house next door; Digital Technology and between them, they have been busily knocking the walls down, to share the future going forward. The two have become interlinked, you seem to always need the one to respond to the other. Maybe it is a “digital – innovation twin” that shapes the physical world with digital understanding- think about the current Industrial Digital Twins for IIoT solutions.

Seriously, have you not noticed the more we work in the innovation space, digital and technology have become inseparable and part of any innovation solution. The innovation funds are increasingly being switched to digital or technology solutions and the output of the discoveries from this digital technology need innovation to then be applied. A virtuous loop.

Managing in this shift has become more intense and committing.

The reliance on deeper insights, more data, greater communications is changing the way we undertake innovation. Speed, scale, and scope are greater within the mix than ever before. We are testing uncertainty constantly, validating a part, pivoting more, experimenting and prototyping to work through this deciphering. Data specific, technology-driven, innovation invigorating.

Organizations are spotting opportunities faster than ever. We are cutting across borders, teaming up with start-up’s, past competitors to seize these opportunities.

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

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

As we enter 2018 we will need Knowledge Graphs

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.

Creating the Industrial Ecosystem

A couple of weeks ago I was invited to the Siemens Innovation Day. I really appreciated it, yet it took me time to absorb all that was provided, over these past two weeks.

One outcome is this post. I am grateful to have had the time to translate this in my mind. We all move on far too quickly and not have the time to sufficiently reflect, and that can be a huge mistake.

The day before the main 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.

The time spent in the Siemens Technology Centre was far too short, in getting the depth I would have liked. Yet, by accessing and re-evaluating all the presentations I have collected over the recent years, I pieced much of it together, into the clarity that I wanted, well actually needed, to understand where Siemens was positioned and going.

I came away from my visit to Siemens greatly impressed, now I am busy filling in the blanks.

The opportunity to attend has certainly triggered a lot of thoughts and connected me into Siemens, a whole lot more. They do seem to be are on a good path for growth but to make it a path that fully connects to exploit all the opportunities it can explore, Siemens needs to exploit Ecosystem thinking a little more. Surprisingly, I felt they lacked a more holistic view of innovation; a clear innovation process, and dedicated focus on this, which is required. Innovation is certainly central to the future of Siemens but it seems to me not to have the core positioning it should have.

Often you come across a dominating mindset of engineers, scientists, and technicians, who often have the mistaken view that they know innovation well when actually they only have a terrific depth on a given subject, not the breadth or broader comprehension. This comprehension is often missing by not having both fully connected and available, or consciously built in.

If you take a more holistic view of the all the connected parts of innovation that value-add, built on customer need, etc., that a structured innovation process offers, the result is more than likely to be more radical in final design and end-result. More radical in design and outcome The whole process to capture and translate options, to minimise the gaps, and leverage the critical opportunities, fully needs a system, a connected system.

I can’t prove it, in a very limited visit I had at Siemens but I certainly felt, they might value a more detailed review of their innovation environment, some more, it might potentially benefit them.

Connecting Innovation is the New Order of Play

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. We are increasingly recognizing all the different collaborative tools increasingly at our disposal We are exploring both platforms and forming ecosystems to radically alter the competitive edge previously seen to reside inside the single company.

A more opening out, forming more connections into customers, engaging with them. so as to fully appreciate their needs and working with them to find solutions. This is leading us to recognize the value and power of the seamless customer experience. All of this comes from achieving a greater access and deepening the connections across networks. It is becoming the innovation network economy, to bring all the parts together.

For some time we have recognized the present innovating was simply not working