Network & Collaborating Effects

So Let’s Take the Autonomous Car in the Wider Ecosystem Perspective

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Image Credit: Rinspeed

My collaborative colleague here on this website, Jeffrey Phillips, recently wrote a piece on his own blogging site “What autonomous cars tell us about the future of innovation.”  I could not resist picking up on this by taking a broader ecosystem perspective to autonomous vehicles and all the mounting “unintended consequences,” many yet to be fully worked through.

We tend to focus always on the innovation promises of new growth and achieving a clearer competitive advantage, yet we often ‘gloss over’ or push issues and problems onto others to resolve, it is often that innovation has many “unintended consequences”.

Many “unintended consequences” are often very unfortunate and we so often fail to see the consequences, many times our capabilities run ahead of our foresight.Casual maps or cognitive mapping can help reduce these.

We often fail to recognize the “connected system” as we focus on our narrower objectives and fail to fully appreciate the primary objectives of others or the impact this might have. We need to take more of the ‘wider system’ approach into consideration as it might highlight missed opportunities but equally, consequences can have a higher impact cost than expected that allows one part of this wider ecosystem to gain increased value and return but for many others will have a higher knock-on economic cost.

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Many-to-Many (M2M) Business Ecosystems are far more challenging

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Our experiences determine to a large degree, success or failure. When you are reliant on others to collaborate and exchange knowledge, for the better good, you need to make sure there is a consistent validation process.

Building the multi-sided solutions where an ecosystem of providers is collectively working towards finding solutions that radically advance on existing ones, you have to enter these type of relationships with your eyes wide open, they are extremely hard and demanding.

They are complex in their relationships, collaborating and exchanging knowledge and expertise to get to a given ‘transformation’ point. You have to become adaptive.

They are differences in the different types of business platforms and who engages with whom and where they enter the value building chain. In my last post “Seeing differences between B2C and B2B within Ecosystems and Platforms” I covered the major differences between them.

Here in this post, I explore the considerable differences between ones that are one-to-many in the relationship that most of our digital platform solutions have been evolving into (B2B, B2C) and many-to-many. The complexity rises to a very different level.

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Seeing differences between B2C and B2B within Ecosystems and Platforms

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Jeffrey wrote a recent post “No walled gardens in B2B platforms” and started with this: “Paul and I have noted throughout our writings on platforms and ecosystems the key differences between companies that interact primarily with consumers (B2C) and companies that interact primarily with other corporations (B2B)”

I wanted to highlight some key differences as a follow-up post and was beginning to work on this when up “pops” a really valuable article by McKinsey “Finding the right digital balance in B2B customer experience”.

Jeffrey and I have championed the idea that customer experience is the ultimate innovation outcome, based on strong ecosystems and platforms so this caught my attention. The article does a good job of focusing the B2B companies to putting customer-centricity and experiences at the heart of their strategy. This offers good advice on the one-to-one model but less on the complications of many businesses working with other business on a two-sided platform of multiple participants

The writers for this McKinsey article, rightly point out the root of the problem is that while the role of customer journeys is central to both B2B and B2C, their incidence and importance are different for B2B and they go on and explain the chief differences.

I’d like to “lift out” these four chief differences McKinsey defines and discuss these more in the multi-sided platform context and ecosystem needs, going beyond the customer experience ones.

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Entering new battlegrounds of connected devices

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There is a new set of battlegrounds brewing around platforms and ecosystems and what and who controls the data and the flows needed to build these thriving environments, reliant on the cloud.

One such battle zone will be on connected devices and who controls and delivers what.

It is not unlike the battleground of the mobile phone device that became famous in an internal note to Nokia employees that I wrote about, back in 2011 “Welcome to the brave new world of innovation ecosystems”.

We are coming to the time that will have similar high stakes of who thrives (and survives) by what they own or control in the looming battles ahead, the one of who and what connects and the way these connections generate, influence and control the connectivity required; to connect the ‘intelligent’ devices to platforms, clouds and all the partners in the ecosystem, seeking insight and understanding to exploit and explore new efficiency and growth opportunities, collecting the new gold called ‘fluid data’.

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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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Bosch Software Innovations will drive your connected device business

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Bosch and its viewBosch takes connected devices, open platforms, and interoperability for IoT solutions to drive your business, built from their own deployed experiences. They are focusing on knowledgeable development & deployment to provide a single integrated set of ‘connecting’ solutions.

Bosch is highly focused on the design, development, and operating software and system solutions for the areas of mobility, city, energy, manufacturing, agriculture, health, home, and building, which is the core of their manufacturing offerings. They are consistently connecting all of their 270 manufacturing plants into this “connecting design” in a progressive fashion.

Bosch has a clear goal “to have each and every electronic component connectable to the internet“. To do this you have to think scale, offer platforms, clear application solutions based in the cloud and understand intimately the hardware and software within the solutions. Bosch is well positioned to deliver on this. Bosch has taken a highly unified view on their approach to this, actually, the more I dug into it the more I was impressed.

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Revolution, Platforms, Digital and the Huge Impact on Business in the Future

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combining-forces-industrie-4-0-and-iccWe are all moving from the simple digitalization (3rd Industrial Revolution) to innovations based on multiple combinations of technologies, ushering in increasingly the 4th Industrial Revolution.

This is forcing everyone doing business to reexamine how they will manage this changing environment. There is a need to challenge existing assumptions, question how the operating teams need to work in the future and be ready to continually innovate.

As we gather increasingly around different platforms to undertake our business, we will continue to extend and exploit ecosystems that share and relate to our existing aims, or radically challenge them to force ‘us’ to make changes to our existing business models, so to achieve different innovation outcomes that radically alter the present business landscape.

There is a major impact on business underway, which will give such a different velocity to accelerating innovation and managing increasing disruption.

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Where the physical and virtual worlds are blurring, thanks to Alibaba.

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alibaba-visual-plus-logoIf ever there is one company in my mind that is at the forefront of building ecosystems, platforms and customer engagement, that is the Alibaba Group.

They are so focused on building the fundamental infrastructure for modern commerce, presently comprising marketplaces, payment. logistics, cloud computing and big data that is ‘collectively’ empowering businesses of all sizes to leverage the internet for their own digital transformation.

So who is Alibaba?

“Alibaba Group is an internet company that aims to make it easy to do business anywhere. Alibaba operates a range of online marketplaces that connects buyers and sellers, with the company providing the technology infrastructure to help merchants, brands and small businesses all over the world reach Chinese consumers. Alibaba’s ecosystem includes e-commerce platforms, cloud computing, digital media and entertainment, payments and financial services, logistics, and local services.”

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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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