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.

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.

There are Knowns and Unknowns in Innovation: Let’s Manage Them Differently

quote from donald rumsfeld about the knowns and unknowns

This quote is from the former U.S. Secretary of Defense Donald Henry Rumsfeld, who mentioned: “unknown unknowns” (Rumsfeld, 2002).

Since then, people have started using quadrants of knowledge, i.e., known known, known unknown, unknown known, and unknown unknown, to understand and explain the nature of risk but also of leading to an opportunity.

For innovators so much of innovation is hard to detect, it needs discovery and working through these quadrants of knowledge as well. We need to treat ideas the same on how anything needs assessing but it needs to pass through a different thinking about knowledge understanding, as there are ‘known knowns’ and ‘unknown unknowns’ and we need to prepare for both within our innovation activities.

Our pursuit in life is often the same as our innovation efforts, it is in the search for discovery. Often it happens, that we already feel better equipped for exploring and observing by just getting out of our usual everyday working environment.

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

A New Integrated Innovation Engagement System

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.

Platform models are the new order of our innovating business need

Part of my shifting my own innovation advisory work was to build out a greater understanding of the power of ecosystems platforms and customer experience collaborations. This site here https://ecosystems4innovating.wordpress.com/about/   explains why there is this dedicated approach in my focus. Also oulining the reasons I chose to shift part of my business over to developing a “certain” knowledge expertise on ecosystems and platforms last year so to help others and equip myself for a growing part of the future of innovation.

Increasingly we are looking constantly for better value. We are increasingly restless and explorative. The big question for many companies that simply sell products is can they benefit from making changes in these platform models. How do they go about it to capitalize on this restlessness and constant need of new experiences? Is the stand-alone product model breaking down? Do the more traditional approaches to customers, those that are more supply sided, still serve their needs today? The answer is no, platforms are building very different connected experience for customers, they are voting with their digital clicks to move their business to these offerings. Are you building platform businesses? You should.

Moving to a Digital World totally across your Business is highly challenging

Transformation is very hard at the best of times for all of us to undertake. Digital transformation forces us to work with mostly emerging, constantly evolving technologies, and then apply these in an integrated way into an existing business. This stretches our abilities significantly, as we may remain unclear of the finished design for quite some time.

We have to evolve it, as we go. With anything that is evolving in front of our eyes, we will need to recognize some of the decisions we will make will turn out to be wrong but made as a good judgment at the time, on ’emerging’ evidence, not proven. Achieving a digital transformation is becoming really essential for innovation, helping to enable your ability to deliver sustained growth through making all the ‘connections’ come together in different ways than ever before; in evaluations, analysis, in collaborations and in the process from discovery to eventual commercialization.

Digital transformation executed well is a really big undertaking. It goes way beyond making a series of incremental improvements to become cloud-ready as are supposed to build in and reflect social, mobile and digital technologies in the solution set. We need to fundamentally transform our processes by opening up and engaging with customers in dramatically different ways, in real-time, in constant exchanges and connected ways. Everything needs to be tracked and traced.

Are We Crushing Real Innovation?

Well, this morning I came across an article in the UK’s Guardian newspaper, entitled “America has become so anti-innovation – it’s economic suicide written by Ben Tarnoff, a writer on technology and politics, living in San Fransisco.

This article did disturb me, it triggered a number of validations in my own mind. Once you get past the opening rant about the infamous Juicero juicer, that has now been used as an illustration of how investors funded something that automates something that you can do faster by hand.

The article opens up the doors to questioning much that is going on under the Silicon Valley umbrella. The juicer got funding of $120m from a number of blue-chip VC’s but it was not this that actually disturbs me, it was this “ant-innovation” tag the writer was attaching to (North) America.

The article goes deeper in questioning where we are in our innovation thinking. We do have a real innovation growth dilemma that we can’t lay at the door of Silicon Valley alone, it is part of the Western world’s current sickness. It has lost that ability to take a positive risk in so much, ‘kicking the can down the road’ for others to resolve, be these societal, educational, health, infrastructural or institutional reforming and so much more. All really important innovation opportunities.