{"id":38722,"date":"2017-03-24T00:00:00","date_gmt":"2017-03-24T00:00:00","guid":{"rendered":"https:\/\/newrcblog.wpengine.com\/get-ready-for-big-data-and-ai-in-the-call-center\/"},"modified":"2025-07-22T03:03:56","modified_gmt":"2025-07-22T10:03:56","slug":"get-ready-for-big-data-and-ai-in-the-call-center","status":"publish","type":"post","link":"\/us\/en\/blog\/get-ready-for-big-data-and-ai-in-the-call-center\/","title":{"rendered":"Get Ready for Big Data and AI In the Call Center"},"content":{"rendered":"

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Reaching out to a call center<\/a> and getting a machine is common these days. It\u2019s no secret that many people prefer to talk to an actual human, though. If you\u2019re one of those folks who prefers to have a \u201creal\u201d conversation, you might be a little disconcerted to hear this next bit of news.<\/p>\n

Artificial Intelligence, or AI, may soon enter the call center<\/a>. We\u2019re talking full-blown Siri- and Alexa-like AI that can respond to queries and carry out various actions.<\/p>\n

AI bots will power up to 85% of customer service interactions<\/a> by the year 2020, which will lead to people having more conversations with bots than with their spouses.<\/p>\n

It\u2019s easy to roll your eyes or think of the negative when you consider this scenario, but call centers may actually be a perfect place for modern AI. Let\u2019s take a closer look at why that is.<\/p>\n

Advantages of AI in the Call Center<\/strong><\/p>\n

Did you know 32% of business executives<\/a> claim voice recognition<\/a> \u2014 a form of AI \u2014 is the most-widely used technology in their business.<\/p>\n

And there\u2019s one thing that Artificial Intelligence \u2014 or a computer \u2014 can do much faster than humans, and that\u2019s referencing and inputting data.<\/p>\n

Today, big data and modern analytics allow us to collect loads of information about nearly everything going on in the world. Brands have habit, purchase and trend data from their customers. Customer service teams have data on common problems with products and past claims. Marketing professionals have an endless supply of data on consumer trends and preferences. The list goes on and on.<\/p>\n

The social media platforms, web applications and websites we visit are always tracking what we\u2019re doing, when and how. This information is being stored, analyzed and leveraged to make our experiences that much better.<\/p>\n

When you call in with a problem or a query, AI can immediately access<\/a> an endless trove of data to find your answer. A human must first tap into a computer system physically and enter search terms, and it\u2019s likely they would even have to search through listings to find the information they need.<\/p>\n

Simultaneously, that AI could also be recording or submitting information you have provided on a form to preserve the history of your experience. Again, humans would need to multi-task, which means typing, reading and talking all at once \u2014 ultimately making them slower.<\/p>\n

In essence, AI has the potential to make call centers<\/a> more accurate and efficient. But it\u2019s important to recognize that they should be used as a side-by-side tool, and not one to completely replace human interaction. The latter could spell disaster.<\/p>\n

Modern AI Still Isn\u2019t Perfect<\/strong><\/p>\n

Chances are, you\u2019ve had this next experience before. While on the line, a computer system tells you to enter a number or speak at a prompt to make a selection. You speak, but the computer doesn\u2019t recognize your answer. You do it again, and again and again. You get the picture.<\/p>\n

It happens with all technology. Computers and modern AI are not perfect and they have their flaws.<\/p>\n

Eighty percent of IT service projects<\/a> fail \u2014 including those that involve implementing AI and big data processes. That\u2019s exactly why the technology should be used to augment the customer experience \u2014 not replace true interactions with other humans entirely.<\/p>\n

For example, at any time, you should be able to bypass the AI system and get a real customer service representative on the line. Some people just prefer to have that human interaction instead.<\/p>\n

A survey from Software Advice<\/a> revealed that casual engagement is preferred by 49% of Midwestern callers, while 36% of Northeastern callers prefer formality. Truly casual interaction is more of a human trait, so what this tells us is that some people would prefer to talk to another human, while others would have no problem talking to a more formal AI.<\/p>\n

Also, there should be a failsafe that allows the AI to identify or recognize when a conversation or interaction isn\u2019t going well. If you have to repeat yourself several times, it gets frustrating and you\u2019re more likely to hang up. The AI should know when it\u2019s best to just transfer you to an actual rep.<\/p>\n

But again, therein lies the beauty of AI. It can be programmed and maintained to make these decisions and actions, carrying out things much faster than any human ever could. Over time, the data collected from past conversations would allow the system to become even more advanced and accurate.<\/p>\n

In other words, it will improve as time goes on \u2014 and that\u2019s important to understand. Artificial Intelligence is poised to replace 16% of American jobs<\/a> by the end of this decade. It\u2019s getting bigger and better every day.<\/p>\n

What Are Some Ways Big Data and AI May Be Used?<\/strong><\/p>\n

There are some specific use-cases for big data and AI in the call center<\/a>, but it\u2019s important to make the distinction here and now that the possibilities are nearly endless.<\/p>\n