The internet of things is changing society and industry in a profound manner, but with the introduction of AI, consumers, enterprises and governments will be able to embark on projects never before thought possible.
For many years, we will find a mix of unconnected machines, connected machines and AI-enabled machines. Our challenge is to make them all collaborate under ethical principles and to avoid using AI for creating psychopath and sociopath machines.
Let´s start connecting every machine
Every machine that can be connected will be connected. Machine-to-machine communication has been building a promising basis for innovative and disruptive business models that will open up new opportunities. Take a look at “How do machines talk to each other?” for a simple explanation about connected machines.
The goal of IoT is to connect every machine to everyone, everything, everywhere … in real time.
Next step: Get value from data collected from machines
But connecting the machines themselves is only an intermediate stage. The continual flow of information that connected machines make available permits management of the machine’s entire lifecycle, from the installation stage to that of maintenance and up to replacement.
For machines owners, this translates to guaranteed system operation, with a development in the business model for the machines, which moves on from the purchase of a physical item to the purchase of the expected benefits. The provisioning of a suitable machine, its appropriate installation and its corresponding maintenance are entirely the responsibility of the supplier.
A key aspect in achieving this goal is data processing. The volumes gathered are such that the provision of valuable services is impossible without adequate information management. As IoT devices generate a large amount of data and we want to do the analysis of the data, we need machine learning to find out the insight of the data.
For machine manufacturers, capturing and processing machine data in real time will allow them to design more freely and manage their machine’s health remotely for better after-sales service. Their customers will also enjoy a better user experience and be able to easily monitor and control their information in real time from anywhere.
Connected machines talking to each other and with humans will dramatically change the way we will live and work.
The time of machines with artificial intelligence is arriving
Artificial intelligence and the internet of things become even more powerful together. AI and IoT are symbiotic; AI makes the machine learn from its experiences and manage new data. I am not exaggerating when I say that AI is the best friend of IoT.
As IoT scales to millions and millions of increasingly intelligent and interactive devices all around us, collecting, distributing, and processing data in a in a combination of fog and cloud computing, many observers believe that AI offers the best chance of quickly and accurately making sense of all that data and putting it to work solving real-world problems. Data lifecycles, flow, classifications, reporting and countless aspects of IoT will be dictated by the intelligence of AI.
A study reported in Science Magazine shows that self-taught AI is better than doctors at predicting heart attacks because of the complexity of risk factors involved.
Both AI and IoT are still in the early stages of their development cycles, saddled with immature technology, limited tooling and still-emerging use cases, often struggling to demonstrate enough real business value to justify their investments and live up to their advance billing.
In the short term, however, AI can help design more efficient IoT networks, ensuring there’s enough capacity without overbuilding and enhancing security. There are many decisions made by AI engines that need to be fed back quickly and accurately to IoT devices; the potential advantages and benefits of IoT and AI are unlimited — the confluence of IoT and artificial intelligence is set to redefine the world.
Must we fear that in a not distant future, an AI system will be able to design other AI systems? We will walk with AI machines that have consciousness, AI machines that can form representations about themselves. We must not fear walking with AI machines, nor that all AI systems must have consciousness.
The challenge of living in a new brave world of AI machines and enhanced humans
“Humans are going to be artificially intelligent.” That’s the prediction of Ray Kurzweil, director of engineering at Google. Kurzweil predicts that humans will become hybrids in the 2030s — a prediction that is line with my article, “Bring your own cyber human part one: Augmented humans.” As we humans formed societies that allowed us to have social interactions, AI systems will form societies that allow them to have cyber-social interactions.
If AI systems are indeed ever to walk among us, they’ll have to be able to understand that each of us has thoughts, feelings and expectations for how we’ll be treated. And they’ll have to adjust their behavior accordingly.
We are in the dawn of a new cyber-society, a society where organizations will design plans to utilize the unique skillsets of both AI systems and humans. A society where humans and AI systems will work and live together and without fear. A society where humans will use newfound time and freedom to advance strategic skills and individual talents.
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