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BuddeComm Intelligence Report - Smart Societies based on Artificial Intelligence and Deep Learning

BuddeComm Intelligence Report - Smart Societies based on Artificial Intelligence and Deep Learning

M2M, IoT linked to data analytics (big data) developments are accelerating, and as more companies enter this sector and spend money on developing it, we will see further astonishing innovations emerge over the next few years. Applications are already being used in infrastructure, telecommunications, healthcare and gaming, just to name a few sectors.

Given the current social, economic and political developments, it becomes clear that we seem to have reached a ceiling in the current way we use our intellectual ability to address the complex issues that society is facing. Society lacks the ability to increase the capacity that is required to address the holistic nature of the current challenges. Without that analytic capacity, it will be impossible to come up with the right answers. We have arrived at times like this before in our history, and they typically led to collapses of civilisations and the arrival of serious declines in living standards. If we are to avoid similar calamities, we need to break through that ceiling and find new tools to help us to create a smarter society.

In the end, it is about people, smart people what is needed is a vision from the top (UN, countries, cities, corporations) and smart communities who work from the bottom upwards.

Our lack of ability to see all the different complex issues as they relate to each other and to make thorough analyses of the overall situation is creating increased confusion, which in turn is being (mis)used by populist politicians and dumbed-down media. This makes it very difficult for society to get a good view and to make sound judgments of the true cost incurred by the lack of a holistic approach to the complex problems.

In this BuddeComm Intelligence report, we will explore whether the next stage of human evolution is going to depend on developing a collective human intellectual system a global brain. This process is already underway through global interconnection, facilitated by technologies such as the internet, broadband, smartphones and mobility. The latest developments are in M2M (machine-to-machine) and IoT (Internet of Things) where we also link machines and different data sets together and use so-called big data' technologies and analyses to better manage the various aspects of our society. This will lead to interaction and even integration between these two developments merging humans and machines, something that is becoming increasingly possible and is leading to the broader concept of artificial intelligence (AI). Some of the predictions and scenarios discussed might not be exactly right, as we are pushing the boundaries of our current level of knowledge; some issues could attract strong responses from those with different views, and most likely some of the predictions will lead to totally different outcomes. But what really matters is the discussion itself.

Latest developments:

In late 2016 The Partnership on AI was launched and in 2017 it has expanded considerably to include a number of companies and organisations; also in 2016 the ITU and IBM Watson launched a competition to inspire AI developments.

Technology concepts covered in this report:

Artificial intelligence (AI); Machine-to-Machine (M2M); Big Data; Cloud computing; Data Science; Cognitive Systems, IoT (Internet of Things), data analytics, smart cities.

Paul Budde is an adviser on these issues to the UN, countries on four continents and over 50 cities.


1. Synopsis
2. The proposition
2.1 AI don't expect a revolution
2.1.1 Key recent developments since 2000
2.2 Creating an ethical path for AI
3. Philosophy and science
4. Social and economic developments
5. Are we reaching another breaking point?
6. Solutions by using information technology to increase our intelligence
6.1 Silos need to be replaced by trans-sector thinking
6.2 Disintermediation brings people closer together
6.3 ICT - assisting in creating a global brain
6.4 Cognitive Systems
6.4.1 Need for cognitive systems
7. Examples of developments
7.1 Tensorflow
7.2 Watson cognitive computing
7.3 Deep learning
7.4 Angelina
7.5 Cognitive Engine
8. Robots vs the sharing economy
9. Conclusion
10. Related reports
Table 1 - Selection of predictions in BT's timeline
Exhibit 1 From data analytics to Artificial Intelligence (AI)
Exhibit 2 Watson in healthcare

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