Value Designing

Are you in a fog or a cloud? Get ready for more complexity to come

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So what is the difference between a fog and a cloud? Well, actually bandwidth is part of the answer and where data needs to be situated.

Slow connections are driving the cloud closer to the actual asset that has the information, the cloud needs. “Fog computing, or edge computing” is getting closer to those local computers and devices to solve this bandwidth problem we all will be having it seems.

Solutions are looking far more to the how and where we store data and how we are setting about how to access it.

Fogging solutions are coping with the problem that sensor loading is creating altering what goes to the cloud and why

The reason why I’m interested in this, on a dedicated site discussing platforms and ecosystems, is that this fog computing is attempting to solve multiple problems at the edge where innovation lies far more for us to understand, where the devices and their users generate the insights and raw data.

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When a platform becomes an operating system

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In the last post Paul wrote about Bosch, and its focus on the industrial internet of things (IIoT).  Bosch, GE and other industrial companies are attempting to create industry leading or at a minimum industry standard platforms to link industrial organizations and create standards, with the hope that new ecosystems and new solutions are built on top of those platforms.

Each of their goals is to capture, manage and exploit information generated from thousands of activities and sensors throughout the industrial platform.

Here we can the see opportunity and the challenges associated with an IIoT play:  building a platform and managing the data of an industrial giant means managing (and harvesting) a tremendous amount of data.

But it also means plugging into or interfacing with other systems and platforms, as none of these companies can create a holistic platform or replace all of the platforms and systems in a large company.  Bosch, GE and others can create really powerful and important platforms in sections or functions, but must integrate and share data with other platforms.  While they can create really powerful and compelling platforms, these platforms are by necessity limited to specific capabilities or functions.

Now for something completely different

Let’s examine then, the power and flexibility that an Amazon, for example has in its quest to build platforms through its AWS offerings.  First, it is focusing on business to consumer (b2c) or in many cases a category that Paul has coined:  consumer to consumer (c2c).

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Facilitating and Planning out the Innovation Ecosystem Thinking

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econocom-comI am presently wanting to determine a framework for investigating and facilitating the thinking considerations we need when we consider innovation ecosystems.

Here I’d like you to consider this as an opening set of thoughts that need to come together far more, in ways that can be repeated and applied to the same basic question that requires a thoughtful thinking through.

It moves towards dealing with the question: “what do I need to consider for entering into an innovation ecosystem design?”

It is clear work-in-progress and takes a series of my mind maps I have been developing and now attempting to put these into a structure that those wanting to answer this question can begin to explore possibilities and arrive at answers to their needs. Most of this is taking thoughts and beginning to structure these and build on this further. Still, we all should start somewhere in structuring this. I put some building blocks down recently and this continues to build out the thinking.

Firstly setting an innovation ecosystem into context

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