What is AI business? Introducing key points for introduction, benefits of AI, and data usage examples!

Table of contents of this article

  1. What is AI = Artificial Intelligence?
  2. Meaning of AI business
  3. Benefits of using AI for business
  4. Four examples of AI data utilization
  5. In the future, companies will need to use AI to promote DX

I’m sure there are many business owners who would like to know about examples of AI being used in business, or who would like to incorporate AI into their own companies. In this article, we will provide an overview of AI business, points to consider when incorporating AI into business, and examples of how AI can be used in business. If you are thinking of getting started in the AI ​​business, please use this as a reference.

What is AI = Artificial Intelligence?

AI is an abbreviation for Artificial Intelligence, and refers to technology that reproduces human intelligence using computers.

For example, with AI, computers analyze vast amounts of data to do things that humans do intuitively, such as understanding the details of videos and images, recognizing voices, and understanding natural language, which is the language that humans use on a daily basis. , performs reasoning, judgment, learning, etc.

Meaning of AI business

From here, I will explain about AI business. We will also explain the key points when introducing AI into your business, so if you want to try it at your own company, please check it out.

Business using AI

“AI business” is a business that utilizes AI to analyze huge amounts of data, and is being introduced in all industries, including logistics, medical care, finance, services, and education.

Data includes, for example, driving footage taken with a drive recorder, conversations during work at a call center, and “customer testimonials” (free comments received from customers). By analyzing such data with AI, it is possible to objectively make inferences and suggestions that humans cannot make and utilize it in business. More and more companies will introduce AI business in the future.

Points to consider when introducing AI to your business

There are several points to keep in mind when introducing AI to your business. First, find out what AI tools are available and consider which ones will be useful for your business. In order to find the most suitable AI tool, we recommend that you clarify why you want to introduce an AI tool into your business and what problems you want to solve.

Next, let’s check what kind of data is required to use AI. It is important to collect the necessary data because if you do not have the necessary data, you will not be able to analyze it even if you introduce a tool.

In addition, when using AI, we also need human resources who can master it. If your company doesn’t have the talent to use AI, you’ll need to hire someone from outside or reskill your own employees to train them to use AI.

Benefits of using AI for business

Let’s take a look at the benefits of using AI for business. First, by utilizing AI, it will be possible to resolve labor shortages and improve operational efficiency. By entrusting tasks that were previously done by humans to computers, accuracy, speed, and safety will increase, and performance itself will improve.

Data analysis also allows us to meet customer needs. For example, at a retail store, by using AI to analyze images from cameras installed in the sales floor, it is possible to quickly detect when a shopper is looking for something and quickly send a store employee to the store. did. This leads to increased customer satisfaction and sales.

Furthermore, if we use AI to understand customer needs, we can connect this to the development of new products and services. For example, by analyzing “customer feedback” as data using AI, it is possible to discover latent needs and improve existing products or create new products.

Four examples of AI data utilization

So how is AI actually used in business? We will explain usage examples for each type of data used in AI analysis.

Example of AI video analysis | “AI Logi Recorder”

AI Logi Recorder is an AI tool developed to educate truck drivers about safe driving. It was developed to solve the problems of not knowing the effectiveness of safety education for truck drivers and the time and effort it takes to identify dangerous driving from drive recorders and provide guidance.

The AI ​​Logi Recorder analyzes drive recorder footage in real time and picks up videos of dangerous scenes detected during that day’s driving, making it possible to provide specific guidance on dangerous driving on the same day. became. Furthermore, since AI analyzes and scores driving results, objective evaluations are also possible, and the effectiveness of safety education can now be measured numerically.

By introducing an AI logi recorder, a transportation company was able to notice dangerous driving by drivers, such as distracted driving and failure to stop, which had previously gone unnoticed during guidance, making it possible to provide daily driving guidance. , awareness of safe driving has increased within the company.

Example of AI text analysis | “Itas Cloud”

Itas Cloud is a tool that can analyze Japanese sentences, and is an AI tool developed to increase customer loyalty by analyzing and utilizing customer feedback received by companies.

In the past, even if customer opinions and impressions were converted into data as “customer feedback,” the analysis was done visually by the person in charge, making it impossible to get a bird’s-eye view of customer feedback as a whole, and it was unclear which opinions had higher priority. there was.

Itas Cloud has made it possible to monitor what kind of opinions are received from customers in chronological order, and to correctly understand and analyze sentences using phrases. Similar opinions are summarized in an easy-to-see map, and it is also possible to analyze the quality and quantity of opinions and discover issues that should be prioritized.

A company that supports job changes and job hunting was faced with the issue of not being able to fully utilize the free comments collected through surveys to understand NPS (intention to recommend others). By introducing Itas Cloud, it has become possible to visualize latent user issues and prioritize apparent issues.Furthermore, by running the PDCA cycle based on this, we can move closer to putting the user first, and we Comparatively, NPS increased by 11%.

Example of AI voice analysis | “Empath”

Empath is an AI program that analyzes conversational states and emotions from human voices. Based on a voice database of tens of thousands of people, the voice is analyzed based on voice speed, intonation, tone, etc. to determine emotions such as happiness, anger, sadness, and mood swings.

Here are some examples of using Empath. At call centers, the job of operator supervisors is to follow up and provide guidance to operators, but there was an issue in which they were not able to do so efficiently. Therefore, Empath Co., Ltd., which develops “Empath”, and TMJ Co., Ltd., which builds and operates call centers and back offices, jointly developed an AI that uses Empath to analyze emotions.

By utilizing this, we were able to analyze the emotions of customers and operators from the audio during business calls, detect calls that are likely to cause problems in real time, and send alerts to operator supervisors.

This allows us to follow up with operators faster than before, making it possible to provide more efficient support. Additionally, by increasing the speed at which operators can resolve problems, the number of consultations from operators outside of business hours has decreased, leading to a reduction in overtime hours for operator supervisors by approximately 20%.

Example of AI human resources analysis | “Matching Pro”

Matching Pro is an AI service that deciphers the job content of a job offer and the experience and skills of a job seeker, and recommends the optimal matching between a job offer and a job seeker based on the degree of compatibility.

Competition for job seekers is becoming more intense as the working population decreases and the number of diverse work styles increases, and companies are faced with the challenge of significantly increasing time and workload to acquire a single employee. there was. Matching Pro was developed to solve this problem.

At one recruitment company, skills matching for immediately available candidates is carried out by consultants carefully reading job descriptions and then sending scouts to suitable job seekers, which takes a huge amount of time and effort. I did.

Therefore, by introducing Matching Pro, we were able to automate the matching and sending of scouts, and were able to achieve the number of scouts we had expected to send, and we were able to obtain a higher than expected response rate.

In the future, companies will need to use AI to promote DX

As we have seen so far, AI is a useful technology that solves corporate problems by analyzing various data. In order to increase our competitiveness in the future market, we will need to not only respond to the actual needs of our customers, but also propose products and services that capture latent needs. To do this, we need the ability to utilize AI to analyze various data and identify needs. It is predicted that AI businesses will continue to increase.

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