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.

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.