Why AI?

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Why AI?

[/vc_column_text][vc_empty_space][vc_column_text]The use of artificial intelligence has many benefits, particularly in the world of conversational analytics. Overall, properly applied AI can streamline the process of analyzing conversations, giving your company information needed to increase conversions. Conversations are ripe with information, from the types of questions that customers (and potential ones) typically ask to the keywords they tend to use. With AI, you can save time and energy, focusing your team’s efforts on their more important duties. [/vc_column_text][/vc_column_inner][vc_column_inner el_class=”faq-col” width=”1/2″][vc_single_image image=”223″ img_size=”full” alignment=”center” qode_css_animation=””][/vc_column_inner][/vc_row_inner][vc_empty_space height=”125px”][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=”” el_class=”marketing-solution”][vc_column_inner width=”1/2″][vc_single_image image=”207″ img_size=”full” alignment=”center” qode_css_animation=””][/vc_column_inner][vc_column_inner el_class=”faq-col” width=”1/2″][vc_empty_space height=”64px”]

Quicker Analysis

[vc_column_text]The most obvious benefit of artificial intelligence in data analytics is the fact that it is done quickly. Even with modern technology, conducting the type of conversational analytics that AI completes would require hours or days of inputting data and then various programs to analyze it. With artificial intelligence, this can occur automatically, preventing the need to use any work time. Even in cases of more advanced, time-consuming analytics, you will still save time from the standpoint of human resources. This comes from the fact that no one needs to input the data, start the analysis program, or confirm it is still running.[/vc_column_text]

No Worker Input Required

[vc_column_text]One of the key factors related to the quicker analysis from AI is the minimal amount of worker input required. This alone leads to several other benefits. It allows your employees to focus on the tasks they are trained for and were hired to complete. It also means you do not have to pay your team for overtime. Both of those points can lead to vast savings by using AI, particularly if a highly skilled employee with a good salary would have to be the one running the data.[/vc_column_text]

More Accurate Analysis

[vc_column_text]In addition, using artificial intelligence for conversational analytics delivers enhanced accuracy. No matter how much experience a person has or how careful they are, human error can still occur. That is not an issue with artificial intelligence, assuming it has been programmed properly. As such, you can trust that the analysis and data produced are highly accurate when using AI.[/vc_column_text]

No Guesswork Within Data Interpretation

[vc_column_text]One of the many advantages of using artificial intelligence is the delivery method of the information. This is true for all types of data analytics, including conversational analytics. AI has advanced significantly over the years. Now, you can program the system to deliver the results in natural language that is simple to understand. This minimizes the amount of interpretation needed, both in terms of analysis and understanding that analysis.


The fact that there is no guesswork involved when AI analyzes data for you serves several purposes. It will save time since your team can correctly interpret the data within minutes instead of hours or days. It also dramatically reduces the risk of incorrect interpretations. This latter point is crucial when using the conversational analytics to make important decisions. After all, you do not want to accidentally misinterpret the keywords clients use, then waste tens (or hundreds) of thousands of dollars and weeks or months setting up an SEO campaign with that information.[/vc_column_text]

You Can Interact with AI

[vc_column_text]Due to advances in artificial intelligence technology, it is even possible to seamlessly communicate with the AI that you use for your analytics. For example, if your team uses an interoffice messaging application, you could likely message the AI and receive responses from it. This would work similar to how a chatbot manages basic customer service inquiries. In other words, anyone on your team could ping the AI to get specific analyses or data that are relevant to their project.[/vc_column_text]

Enhances the Value of Your Analytics

[vc_column_text]If you look at the common theme across the previously mentioned reasons to use artificial intelligence for conversational analytics, you will notice that each benefit helps improve the value of your analytics. You can receive the same analytics you would with traditional methods, but in a fraction of the time and without using work hours. You also get the enhanced accuracy and ease of human interpretation of data, giving you confidence that the information you have is correct.


The ways that you can use AI for conversational analytics can also enhance its value. After all, it helps you discover keywords or what happens during phone calls with clients. You can use this information to determine how to proceed with such things as customer service and marketing strategies. The value of that information is dramatic, as it will lead you toward successful changes that can result in a high return on investment, fueling your company.[/vc_column_text]

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