Network & Collaborating Effects

Apollo and Baidu: the Autonomous Platform Builders

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In the latest update to its platform, Baidu says partners can access new obstacle perception technology and high-definition maps, among other features. We are told that the company with the most data will win. To get the real edge it is to have and train algorithms that interpret the intelligence and here you need to understand the value of AI (Artificial Intelligence).

Now there is a significant “buzz” on AI at present but where it is really taking off is in China and one company needs to be followed is Baidu.

How Baidu is going about this is to build ecosystems that commercialize AI technology and then attract this ecosystem of partners and developers to accelerate AI into actionable knowledge.

Then we see the Autonomous Platform emerging……

Just released a further update

Chinese search engine giant Baidu is to spend 10bn yuan (£1.1bn; $1.5bn) on new driverless car projects over the next three years. The “Apollo Fund” will invest in 100 autonomous driving projects over the next three years, Baidu said in a statement.. The move is an attempt to catch up with US rivals by enlisting outside help.It now has 70 partners across several fields in the auto industry, up from 50 in July, it says

The launch of Baidu’s “Apollo Fund” coincides with the release of Apollo 1.5, the latest version of its open-source autonomous vehicle software. In the latest update to its platform, Baidu says partners can access new obstacle perception technology and high-definition maps, among other features”.

Reuters News 21st Sept, 2017

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From footpath to Facebook: Building a platform

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I’ve been interested in what constitutes a “platform” and how platforms spawn and nurture ecosystems for quite some time.  We’ve been exploring these ideas in this blog over the last few months.

In this post I’d like to start identifying some of the key factors that anyone thinking about innovating or building a platform must consider.  To do that, I’d like to start, as the title suggests, by reviewing the first platforms.

The first platforms were paths, rivers and other means of improving human interaction and communication.  As interactions were improved and information flowed more easily, civilization, which is just a form of an ecosystem on a platform, developed.  Roads, canals and other forms of improved transportation simply became a better platform, and allowed the Romans to create financial and trade mechanisms not equaled until the 19th century.

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Adjusting to the Changing Landscape of Ecosystems

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the changing landscape for ecosystem and platform thinking

We all are being told repeatedly that opportunities will increasingly emerge outside of the traditional established lines of business, as new digital technology solutions take increasing hold in our adjusting to the changing landscape of our thinking in ecosystem designs.

The issue is how we go about adapting to these and taking advantage of the changes all businesses are undergoing. These will be through different approaches to designing and extracting the potential value gained and will form around ecosystems and their management, through technology solutions provided by platform providers.

I am not sure how you feel, but It seems disruption is in everything, in what we need to undertake, in what is coming towards us in change. It has a common purpose, often far less sinister than promoted.

Disruption is requiring us to re-equip and open up, as we learn to deal in this changing world where connections can emerge from anywhere at any time, offering a new ‘line of sight’ onto an existing business concept.

We need to respond quickly and in those different, collaborative ways. Digital challenges are everywhere, to explore and exploit.

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Amazon and Whole Foods expose an ecosystem gap – the last mile

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In case you were hibernating or out of range of cell cover or WiFi during the last few days, you know that Amazon has made an offer to acquire Whole Foods.

This places the largest online merchant in direct competition with some of the largest retailers in the US – grocery stores – and continues Amazon’s move into “bricks and mortar” businesses.

On this blog Paul and I have been writing about the importance of innovation in platforms and ecosystems.

With this acquisition, Amazon is attempting to extend its platforms into the “real” world and link up its power in the online world with physical stores.  Amazon understand a lot about attracting customers to its site, and does a reasonably good job at distribution.  Amazon gains a trusted “bricks and mortar” company that is respected (or sneered at) by consumers.  Whole Foods isn’t nicknamed “Whole Paycheck” for nothing, and there are some interesting dynamics between a company that isn’t concerned with profits and a company well-known for top of the line products and good customer service.  But we aren’t here to evaluate the integration of these companies, as much as to identify an ecosystem gap.

Amazon and the last mile problem

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The Future Is Within Health Ecosystems

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Source: IBM Institute for Business Value

I have struggled to get my head around the effect of ecosystems within the healthcare system; it is so complex.

In recent weeks, I have recognized the barriers and opportunities around the challenges of building ecosystems for health services to deliver real change within our healthcare and its management.

To help me, I have found some excellent observations to gain this deeper appreciation of the complexities involved. The links are shown at the bottom of this post.

This is my opening summary to relate my understanding of how ecosystem designs might help change this vital sector of our economies.

The first starting point is that the patient themselves have to become the centre of any future healthcare system, based on ecosystem solutions. Why? Firstly, the patient or customer will increasingly be demanding and expecting personalized treatment and want to be able to shop around to achieve this. Secondly, they are expecting and wanting to be part of a controlled method and choose advice and care delivery more than ever. Thirdly, they will shop for quality and cost as the cost models will increasingly look for this personalization to determine the premiums. The final customer will be central to drive the change, and the providers of ‘services’ keen to reposition themselves as responsive to this ‘need.’

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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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