Innovation cannot expand without the 4th Industrial Revolution

September 2, 2018Posted inAchieving innovation engagement, Advancing innovation, Molecules, Shifting dynamics in innovation2 Comments

We are a long way away from fully capturing the benefits of the Fourth Industrial Revolution (4IR) in an inclusive and holistic way. To do this, technology adoption and diffusion across the ecosystem needs to improve dramatically.

In a recent report, jointly from the World Economic Forum and McKinsey called the “The Fourth Industrial Revolution and the factories of the future” they made a number of observations

“After a decade of flat productivity, the arrival of the Fourth Industrial Revolution (4IR) is expected to create up to $3.7 trillion in value to global manufacturing. A few years back, experts noted that the changes associated with the 4IR would come at an unprecedented rate yielding incredible results for those who truly embraced them.

Still, the hockey stick of benefits has not kicked in yet – while all companies are making efforts to adopt technology, most of the production industry (~70%) remains in pilot purgatory (where technology pilots last for extended periods of time, and companies do not take the final step of scaling up viable technologies). Less than 30% of manufacturing companies are actively rolling out Fourth Industrial Revolution technologies at scale”

No wonder we presently have trouble attracting many businesses onto platforms when they are still very much behind in deciding or deploying a strategically thought-through IIoT digital design, that is connecting everything up.

It is equally holding a new form of innovation back, one that is highly collaborative where partners come together to work on more complex problems. Collaborators can achieve solutions only by being “fully” connected up, comfortable with their data, understanding and contribution, both within their knowledge and insights.

The power of multiple-connected ecosystems gives innovation a completely different momentum but it needs this 4th industrial revolution to be fully operative, for a digitally connected world in manufacturing and beyond.

The legend of the Gordian Knot and today’s organizations knotty problems

August 24, 2018Posted inAchieving innovation engagement, Advancing innovation, Building Innovation Capability, Molecules, Shifting dynamics in innovation, Tackling innovation
Cutting the Gordian Knot

If you are not aware, it is worth reading about the Gordian Knot.

“For people the world over, the Gordian Knot represents the difficult, the intractable and often the insolvable problem.

Today’s systemic business problems are the modern-day equivalent of this seemingly impossible challenge, our Gordian Knots to untie or cut through.

According to Greek mythology, the huge, ball-like Turkish knot with no ends exposed was impossible to untie. An oracle had predicted that the first person to do so would become the ruler of all Asia. Thousands of people had tried, without success, to unlock its complex riddles. Alexander of Macedonia, son of King Philip II of Macedon, solved this puzzle simply and very creatively – by cutting it in half with his sword, exposing its ends and making it possible to untie. Alexander the Great went on to conquer all of Asia, just as the oracle predicted”.

So are Organizations Cutting their Gordian Knots?
So how can we cut the intractable knot inside organizations and thrive from it?

So the value we can derive from using Knowledge Graphs

August 14, 2018Posted inAchieving innovation engagement, Building Innovation Capability, Leading innovation, Shifting dynamics in innovation

How does Knowledge Graphs fit within our need to communicate in new, visually exciting ways?

Let me provide a short narrative to give this a meaning and why it is becoming so important

Today we deliver content- It has become far too easy. We are drowning in it on a daily basis. We all suffer a massive deluge of digital input. Content can’t stand alone.

  • What we need is context to anchor content and give it the clear meaning to understand………..that’s our necessary starting point.

Context shifts everything, it gives it shape, a structure to draw (deeper) meaning from. We learn to know, to integrate, to remember, to understand and to act.

Of course, context is going to be fluid as it builds out its related content.

Having content and context is complementary, interconnected, and interdependent, they interrelate to one another.

As we gain more insights we can potentially build a greater understanding. We simply improve our knowledge.

It is going to be needed to be adaptive as we learn but it will be placed in ‘certain bounds’. If we start from a much clearer starting base then the learning and discovery allow people to want to find solutions as they gain increased knowledge and provide fresh inputs, they begin to strongly relate. We pass through memory understanding as we learn.

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.

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.