Artificial Intelligence has always been a fascinating thing. From a normal person’s standpoint, even attempting to comprehend it will boggle many minds. Do you know your Artificial Intelligence from your elbow?
All those lines of code, all talking to each other, simulating the base processes of the human mind. It boggles it. Recently, androids, like Sophia, can pass off as having human intelligence, and before that, digital, artificial intelligence could do the same.
We’re going to dial it back a bit. As much as we’d love to know about Sophia and how she’s started drawing now, let’s dive deeper into the artificial intelligence that we’ve all come to love and use in our homes and businesses. We’ll focus on functional AI made with a specific purpose.
Everyday Artificial Intelligence
There’s a high chance that you’ve already got some AI in your own home. Whether you use it to its full potential, it’s there, and you probably still get some use out of them.
Do you consider Siri, Alexa, and OK Google as AI? Well, you should, as that’s precisely what they are. These devices incorporate machine learning more than just a voice-activated query machine.
They learn more about you every time you use them. It does this through understanding the context of your queries. For example, if you have a heavy accent, Alexa may be able to parse certain bits of the phrase, but not all. Once it recognises your accent, it’ll learn the accent from other users. Upon the following query, it’ll understand your voice better.
Have you ever heard of video doorbells? If not, it’s a camera placed on your front door or back that alerts you when people are at your door and sends video footage to a device of yours.
Many people are using it now, and it can even go a step further. The device learning your face can disable your home alarm if it sees you or any trusted people. There’s the AI at work again!
Artificial Intelligence In Retail
Retail stands to benefit from AI by quite a bit, actually. Whilst we’re not quite at the stage where we can replace employees with androids, AI is still benefitting the industry and making innovations here and there.
There are quite a few examples of AI in customer service already, and it’s exciting to watch as it progresses further, as it could just go in any direction at this point.
Two big mentions would be chatbots and personalised customer rep notifications. Chatbots have been around for a while, but they started as a general query type affair to get the person to the right representative. They’re being used to mimic real people, even including sentiment as a key factor in their development.
As for personalised customer rep notifications, when receiving a complaint, AI will analyse the past complaints of the same user. They’ll then compare it with the current complaint and provide the relevant information to the rep to inform them of how to respond. Cool, huh?
One of the biggest logistic nightmares is stock management. It can require entire departments to ensure the right products are in the right stores and even more foresight to make sure the predictions are correct in how fast the product will run out.
Enter AI again. Luckily, data is like poetry. It rhymes. And AI can analyse these poems pretty well. They can assist with the process, or they can completely take over. We can’t say if AI can be purely relied on for perfect results, but it certainly does lower the mistakes a human can make.
Artificial Intelligence In Business
I know retail is technically also business, but the correct term would be “backend”, but that’s not as exciting as a big word like “business”. Stay with me here; we’ve got some gold regardless.
Pricing is something you can only predict through years and years of service. How do you really know what the worth of something is? Sure, there are similar products, but you use unique materials, and the product lasts longer than competitors. How much is that really worth? You can always experiment, but you may lose sales. It’s an issue!
Or you can leave it to AI. They’ll factor in your cost of materials, product performance, reviews, industry strength, whatever you can feed it, and present you a justifiable cost that will get bought. AI can probably justify its own cost, which is pretty scary or impressive when you think about it.
Instead of using AI to replace your staff, why not use it to keep them around?
AI can assess an employee’s data and see what incentive can keep them around. A win-win for both sides! An employee leaving has a considerable cost attached to it, with finding a new hire and training them up takes not only money but also time. By integrating AI into optimising longevity for your employees, they’ll be happier, which always translates into more profit.
On the flip side, AI can also remove the problem employees or even the consistently underperforming ones. It could take the data about employees and show it to you through a data dashboard to make an accurate decision.
Should You Use Artificial Intelligence?
Sure, AI can seem pretty daunting to someone who isn’t knowledgeable about the technology, largely due to TV shows and movies. But it’s not the same as I-Robot, I assure you.
It’s Not That Complex
Using AI doesn’t mean inviting a robot into your operations to do your taxes. It just means having a process be dynamic and ever-growing. The purpose of an AI can be pretty niche and can only be responsible for a specific thing. It won’t talk to you in your native language and cook you dinner; it’ll make things easier.
Furthermore, AI is pretty useless if it can’t be implemented in a user-friendly manner, so it’s designed with that in mind. Sure, there may be times when you’ll need basic code knowledge or how to navigate certain areas of a backend, but you won’t need AI engineers to do it. And if you do, shop elsewhere.
Start Small Before You Go Big
If it’s still extremely daunting, you don’t need to go all in. You can use small instances of AI to get a better handle on it, then move onto bigger instances of AI once you’re comfortable.
It’s never recommended to go all in on anything in general without proper planning. But as said above, implementing an AI shouldn’t require a PhD in Python. It must be easy and accessible. So don’t be afraid to try new things out to understand it better on a small scale.
AI is for everyone. It’s already seen domestic use in our homes, and more than likely seen use in the place you work and the shops you visit. It’ll be a natural part of our society as we advance into the future.
Where will AI go in the next 10 years? It’s impossible to tell. There are so many industries taking full advantage of AI and so many AI’s being developed for specific things that it’s hard to grasp where it will specifically go. All we know is that depending on the person; this can be exciting or terrifying.
Regardless, it’ll grow, whether we want it to or not. So make sure you’re ready for the next big wave of artificial intelligence technology coming. And we’ll be waiting for it.