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How Smartphone Users Benefit From Artificial Intelligence

Daniel Nenni

Admin
Staff member
As I have mentioned many times AI has been a trending topic on SemiWiki for the past year and it will continue. The edge is where I see most of the action thanks to the likes of Apple, Amazon, and Tesla. I still drive a dumb car but I am big Siri and Alexa users and they are just scratching the surface.

In looking at the > 28,000 domains that hit SemiWiki last year the majority of them are edge device companies and a significant portion (2,098) came for the 37 AI blogs we published. I'm expecting the number of AI related blogs to double this year considering we only published 10 AI blogs in 2016. AI specific IP is now hitting the ecosystem so be prepared for an AI mega storm in 2018, absolutely.

View attachment 20969
One of the main themes of this year’s CES will likely be artificial intelligence (AI). As we’re surrounded by smartphones, smart homes, smart cities and many more supposedly smart things, artificial intelligence and machine learning are already helping us in ways that we may not even realize.

According to Deloitte’s Global Mobile Consumer Survey, 65 percent of smartphone owners across 16 developed markets have used an application featuring machine learning in the past. Many of these applications, think predictive text and route suggestions for example, are designed to make our mobile experience feel more personalized and convenient; and as algorithms, hardware and the underlying data sets improve over time, we can expect AI-infused services to get a lot smarter going forward.

The following chart, based on Deloitte’s findings, shows how many smartphone users are aware of and/or already using different AI-powered applications on their devices. Unsurprisingly, predictive text is the most used application involving machine learning, although many of us have probably questioned the (artificial) intelligence of such features based on personal experience with text messages that have gone awry.
 
What all these applications have in common is they enable more fluid and natural user interaction with the phone. It's interesting to me that AI seems to be finding it's most prominent use case not in replacing humans, but in improved human-computer interaction.
 
What all these applications have in common is they enable more fluid and natural user interaction with the phone. It's interesting to me that AI seems to be finding it's most prominent use case not in replacing humans, but in improved human-computer interaction.

I agree. Automation tools increase productivity which may decrease the need to hire additional workers but I would not say it replaces people. Like the smartphone, it allows me to be more productive but it also allows me to work many more hours than before since I am "always on" per say. AI will allow me to work smarter and be more productive, I'm hoping.
 
One of the most overlooked skill sets of the future is making our world intuitive. This will apply to everything from simple signs and coded colors to operation of the most complex devices we have. I predict in the future we will have an intuition use scale to provide us a guide of what we want to use in an increasingly complex world. This will also apply to self training programs. Demand for this skill set will rival AI and is related to it. It will involve the study of people on a level we haven't seen before except maybe in Industrial Engineering which has made it a consideration for over forty years. I will write on this in the future, since being born different has given me a very unique view on this and other subjects. I have no choice except to be always on as much as possible. That's why I'm literally an addictive reader/observer.
 
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What all these applications have in common is they enable more fluid and natural user interaction with the phone. It's interesting to me that AI seems to be finding it's most prominent use case not in replacing humans, but in improved human-computer interaction.
Couldn't agree more. I think the "AI will make humans obsolete" card has been vastly overplayed. In a few cases maybe, but more likely it will help us do our jobs better, just as automation has in so many other cases.
 
One important topic missing from the list is security. AI-based security is likely to be lower-power and more adaptive than traditional methods, which could make it better suited to the edge
 
I look forward to the day that when I phone a company and start following the prompts to get support that I never have to "Press 1 for English" because they have used AI or big data to already know that I speak English.
 
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