Why AI in Online Business is Simpler than You Think

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When we think of AI, our minds tend to turn to science fiction. We picture advanced robotic systems, broad calculating systems, and backing technology that is somehow relatable to the human brain. In most implementations, however, artificial intelligence is far narrower than we often think. As smaller specialty components designed around limited tasks, AI isn’t all-encompassing, though that makes it no less impressive. Taking a look at a couple of key uses in business, we want to illustrate the reality of the subject, to show how and why these systems are simpler than popular opinion would suggest.

Payment System Safety

Using online payment systems to buy and sell goods on the internet was once viewed with skepticism. This makes sense, given the capacity for danger that a poorly designed system would imply. Though there are many facets to this concern, one of the biggest was that humans wouldn’t be able to test all the possible avenues of attack to ensure safety was guaranteed. Simply put, threats like dedicated denial of service attacks, as explained at cloudfare.com, to payment methods could not accurately be emulated by just the human hand.

Machine Learning & Artificial Intelligen by mikemacmarketing, on Flickr
Machine Learning & Artificial Intelligen” (CC BY 2.0) by mikemacmarketing

With the use of artificial intelligence, these concerns were quickly laid to rest. A strong example of this can be found in the online casino world, with systems that can be seen if you read this post from Bonus.ca. Payment methods like Interac are a crucial component in these casinos, right from the get-go. Tied to offers like deposit matches and qualification for free spins, these systems had to be run through massive simulated attacks to ensure their reliability. This is exactly what basic AI did, pushing websites as far as they could go to ensure no amount of flooding could ever reveal security risks.

Checking Unusual Use Patterns

Once businesses know they have a reliable payment system, the other arm of potential challenges could be found in looking at a sales website directly. Online marketplaces are often fluid, using advanced HTML and systems like those at davidmles.medium.com to ensure all database functions are accurate, so no crashes or false purchases are easily possible. The inherent limitation here again comes from the boundaries of human testing, which is unfeasible on a mass scale.

In these instances, AI can be used to effectively check all forms of possible human interaction with a website’s systems, no matter how unusual. Sure, a system might easily function if a person adds one item to a cart and then purchases, but what if they act strangely? AI simulations could test situations such as a person adding and removing dozens of different items, leaving their carts open for extended periods, and much more. As with payment systems, the efficiency of AI would far outstrip human potential, ensuring as broad of a net as possible was cast.

Purchasing goods online by wuestenigel, on Flickr
Purchasing goods online” (CC BY 2.0) by wuestenigel

The intimidation factor of anything called AI can be a mitigating factor in whether business owners use technology, but it doesn’t need to be. Today, AI systems are more user-friendly than they’ve ever been, and they’re incredibly streamlined to use. Utilized thousands of times daily, all over the world, AI keeps users safe, even if they don’t appreciate it. For these reasons, we’d recommend anyone hesitating to adopt AI take a closer look. This world is easier than you think, and your customers’ safety could thank you for it.

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