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3 Challenges to the Universal Adoption of AI | Technology

3 Challenges to the Universal Adoption of AI | Technology
3 Challenges to the Universal Adoption of AI 

Will AI ever become ubiquitous?

The use of connected smart devices is growing rapidly, but they are not yet everywhere.  There are 3 challenges to the universal adoption of AI.

As you may have already realized, AI has influenced your life.  And its impact is only going to grow from here.  Achieving a future of ubiquitous AI could be life-changing.  Think of never worrying about nutrition and food spoilage.  Your milk never spoils.  Everything you eat is healthy.  Or knowing exactly what clothes to pack on a trip, tailored to your occasion and weather when you arrive.

We're not yet in the dazzling future where a store immediately knows you walked in and starts suggesting personalized products, but we may not be too far off.  This is why it is crucial to understand and break down the barriers to AI adoption.

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3 barriers to AI adoption

  • Hardware and hardware compatibility is key and the technology isn't quite there yet.
  • People have legitimate privacy concerns.
  • At this time, the necessary technology is very expensive.

The first challenge: Hardware

Consider the smart fridge.  Samsung introduced such a device in 2018, but it's still more of a novelty.  According to Grandview Research, in 2019, "smart refrigerators" were the most popular in North America, comprising 31% of the global market.  However, these are not Star Trek-style devices with touch screens, rather they are "intelligent" due to internal circuitry that allows for greater efficiency and self-control.  The user may not even realize how "intelligent" the device is.

Major appliances are replaced on longer terms than your phone.  Consumers replace large items as needed, so buying a new one just because it's a little more efficient is less likely than buying a new phone because of slightly better battery life.

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Upgrading the hardware is also not a trivial task.  You can't just add a Wi-Fi card to any refrigerator in the hope that it will transmit a service record to the local repair center.  Most of the electronic devices in our lives are neither modular nor intended to extend much beyond their current design.  This is a serious limitation for the integration of Internet of Things (IoT) devices, as anyone with just a couple of smart light bulbs will tell you.  Hardware and hardware compatibility is key and we're not quite there.

That said, a smart fridge, and other examples of smart hardware, are absolutely necessary to build the AI-powered future of our lives.  It will take a moment for us all to be on the same page, and some of us will buy into the future of AI-powered hardware sooner than others.  Early Birds will be crucial in leading the way to mass adoption, helping to iron out bugs and proving that such items not only work, but add value to people's lives.

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The second challenge: Privacy

If you're like me, the idea of ​​AI knowing what I want to eat is a bit weird.  We are entering an era where our personal data will be more valuable than ever, and consumers are beginning to realize that fact.  A 2019 report indicates that more than 60 percent of respondents felt connected devices were "creepy," which is likely to slow the adoption of such devices.

While all of this may sound daunting, there are some interesting innovations that address the pain points.  And you are probably enjoying the benefits of this thought without even realizing it.  To understand, we have to walk into a room full of networking equipment.

Most of us are familiar with server rooms from TV shows and movies where we see a generic, yet high-tech "data center."  What most consumers don't realize is that companies don't just upgrade all of their data center hardware at once.  Just as you probably won't buy a new router when you buy a new laptop, data center components swap over time, here and there, and can end up as a patchwork of providers and services.

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Some time ago, network administrators unified their management and allowed the underlying systems to micromanage individual components.  This requires special software that can amalgamate all the different requirements on all the different devices, controlling them as needed and hiding the details from managers.

As data centers are upgraded over time, more and more privacy is built in.  While we're not in a place where we need to trust our every move to an AI, we can expect most data centers to be privacy-focused in the next few years.

The Ultimate Challenge: Cost

As you can imagine, nothing we are talking about is cheap.  The costs associated with current AI solutions are often prohibitive.  However, this will not always be the case.

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Three decades ago, the computing power found in a smartwatch was as big and expensive as a Toyota Corolla.  Now you can get a $5 chip that's smarter than all the machines on all NASA space missions prior to 2000 combined.  Costs will fall.

We're already pushing AI to the limits, in more cost-effective ways, by putting software on top of existing hardware rather than waiting for specialized AI-specific chips.  We can add functionality to "dumb" machines by taking advantage of their networks and power grids.

Going back to our not-so-smart refrigerator, what if you replaced your electrical box with a smart electrical box that would detect the refrigerator in your home based on its power usage?  The smart energy box would know the make and model and be able to make decisions about the contents of the fridge based on that (albeit imperfect) information.  Add a smart kitchen camera and maybe a built-in counter scale and you'll be adding sensors without adding much cost.

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Ultimately, the best AI solutions will overcome all of these obstacles.  They will bring AI to the end consumer without relying on dedicated chips, which would require consumers to swap out new equipment for old.  After all, ubiquitous AI depends on it actually being where you need it.  They will also be private from the start and as cheap as the air we breathe.  Do any of us think more about the Wi-Fi around us?  No. We use it and look forward to it.  The AI ​​will soon be the same.

Source: iArtificial, Direct News 99