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As AI/Machine Learning technologies begin truly transforming peoples day-to-day lives, how are industry leaders and communities working together to better understand how disruptive an autonomous Machine-to-Machine Economy (M2M) will be to our existing economic infrastructure.
(I have many other talking points and aspects to cover with this question. But being long winded and fairly complex I kept my questions simple for the time being)
(For the board options- There are several that peak my interest. Can we participate on more than one board?)
I saw some great use cases at CA World. One of the most impressive was Amazonas, the largest state in Brazil, in which they have connected all of the citizens in the cities and the rainforests via mobile devices to 41 state services. For every dollar the country is spending on technology they are saving three because they don't need as many physical offices to serve their citizens.
The state of Kentucky's Health and Human Services has done the same thing.
I look forward to greater adoption across the U.S. with smart cities improving infrastructure as well as quality of life.
for example M2M is now used for remote controlling, logistic services and supply chain management. Vending machines inform distributors about the stock available for any product, when something is running low you get an alert. To set this up you just need an online network and a software to analyze data in the right way and take decisions based on this
Virtual Twins are in the process to get implemented in all kind of industries. The virtual twin can predict, when the real twin will need a spare part. If this part is inside a defined group ("white list"), the client machine may automatically order it from the the vendor machine, without any human interaction.
M2M has actually been around for many years and a multi-billion dollar segment starting with SMS text messaging to a database as used in India, China and Indonesia...it does not have to be 5G and the latest greatest to make money. Many of the applications follow historical RFID and AIDC business which has been around for 40-years.
In my opinion, business leaders are not examining the disruptive impact of AI. AI has suddenly gotten hot ... and it is very real. It's not a buzz word like "big data". AI has suddenly made quantum leaps within the past year. In my opinion, it has caught everybody off guard at the growth of the technology. I believe that companies do need to take stock in how AI will affect their businesses, employees and customers. But I don't believe they are doing this right now. They were caught "flat footed"