In the sale of financial products, operating with the customer's interests as the top priority is becoming increasingly important. Based on the Financial Services Agency's "Principles for Customer-Oriented Business Operations," financial institutions and insurance companies are strongly required to practice fiduciary duty. Therefore, it is essential to establish a system that thoroughly implements monitoring in accordance with laws and internal regulations, ensuring compliance. This will enhance trust with customers and maintain the transparency and soundness of operations. In such an environment, FRONTEO's AI "KIBIT" analyzes daily reports and emails with customers, extracting not only compliance violations but also records that may contain unintended deficiencies. This supports reliable monitoring of sales activities on behalf of managers, thereby enhancing the reliability of operations.

Online transactions and online completion-type applications and contracts have become commonplace, and the advancement of digitalization and online services in the financial industry has become an unavoidable major trend. Along with this, financial institutions are increasingly required to strengthen regulations and risk management, making the establishment and enhancement of compliance systems essential. In this context, the utilization of AI (artificial intelligence) is rapidly advancing as an important solution. AI can analyze vast amounts of data and efficiently detect high-risk cases such as information leaks and cartels, enabling more accurate and quicker responses than traditional manual monitoring. By monitoring emails and daily reports, effective compliance can be achieved even as digitalization progresses, reducing the burden on managers while enhancing reliability.

The production sites in manufacturing and factories still rely heavily on human labor for many processes. However, the challenges faced by the manufacturing industry, such as labor shortages, the inheritance of skills, and accident prevention, are actually areas where AI can be very effective. In the manufacturing industry, where a wealth of skills and knowledge has been accumulated by skilled artisans, AI has the potential to serve as a tool for passing on those skills into the future, as well as a means to prevent accidents based on past disaster data. Here, we will introduce scenes where AI can be useful in such environments.

With the diversification of communication tools and the rapid expansion of remote work, the importance and difficulty of conducting "employee communication audits" as part of measures to prevent fraud and information leaks, as well as to strengthen compliance, are increasing amid the growing prevalence of online communication. This time, we would like to introduce the email and chat audit AI "KIBIT Eye," which analyzes text within various communication tools and expresses fraud risk in scores, thereby enhancing and streamlining monitoring operations.

When a data breach occurs, a company's social credibility declines, significantly impacting performance due to halted transactions and customer attrition. To address such risks, message auditing is effective. FRONTEO's AI learns the methods and thinking of investigators, auditing large volumes of emails to detect leaks of confidential information and signs of internal misconduct. By detecting the "nurturing" phase, which is a precursor to misconduct, it is possible to prevent internal fraud before it occurs. By utilizing such AI, companies can establish an effective compliance system and mitigate risks.

As the competition for talent intensifies, the ability to identify outstanding individuals who can thrive within the company has become an increasingly important challenge. Reducing the time spent on reviewing entry sheets and conducting fair evaluations that are not influenced by the impressions or preferences of individual recruiters are significant issues in the hiring process. As a solution to this challenge, FRONTEO's AI (artificial intelligence) can be of great assistance. The AI learns from past hiring data and HR data, allowing for the rapid selection of candidates based on objective and consistent evaluation criteria. This enables recruiters to reduce the time spent on reviewing entry sheets and allocate more time to face-to-face interviews and communication. As a result, the accuracy of the selection process improves, ensuring that the best talent for the company is identified. By utilizing AI, the hiring process not only becomes more efficient but also enhances quality, significantly contributing to the growth of the company.

For companies, the departure of talented employees represents a significant loss. If the risks of such important personnel leaving can be detected early and the causes addressed, it is possible to prevent turnover before it happens. However, it is not easy for humans alone to identify subtle changes in individual employees' mindsets or signs of potential resignation. This is where FRONTEO's AI (artificial intelligence) comes into play. The AI analyzes patterns and trends that are difficult for the human eye to catch, using text data accumulated by the HR department, such as performance management comments, awareness surveys, and questionnaires, to early detect anxieties, stress, and signs of resignation that are often overlooked in daily communication. This allows managers to take timely and appropriate actions, significantly reducing the risk of turnover. By utilizing AI, companies can protect their valuable talent and promote stability and growth throughout the organization.

In recent years, the importance of "Voice of the Customer (VOC)" in corporate customer support departments has been increasing. Requests, inquiries, and feedback from customers are valuable management resources for companies. However, efficiently analyzing the ever-growing volume of "voices" and grasping the overall picture is not easy. This is where AI (artificial intelligence) comes into play. AI demonstrates high accuracy with large amounts of data and can automatically classify and organize the "Voice of the Customer." FRONTEO's AI automatically sorts vast amounts of VOC data and extracts features, not only reducing complaints but also discovering opportunities that lead to future initiatives. This enables companies to accurately understand customer needs and respond quickly. By utilizing AI, it is possible to extract hints for future growth from the "Voice of the Customer," not just solving problems.

One of the important tasks of organizational managers and supervisors is to check the emails and daily reports of their subordinates. Ideally, they should quickly catch opportunities for orders and risks of lost orders from the detailed reports submitted by their subordinates. However, in reality, a vast amount of reports are submitted daily, and it is not easy to read through all of them and make appropriate judgments. The solution to such challenges lies in utilizing AI (artificial intelligence) that learns human "thinking." AI learns the judgment patterns of managers and supervisors, analyzes document data such as daily reports and emails, and performs scoring. This allows for the efficient extraction of information that suggests opportunities and risk factors, enabling focus on important information that should be prioritized for checking. As a result, it not only prevents oversight but also allows for rapid responses, maximizing business opportunities. By leveraging AI, it is expected to not only organize information but also expand business possibilities and strengthen management systems that directly contribute to organizational growth.

In the construction industry, which tends to rely on experience and intuition, the personalization of skills is progressing easily, and the shortage of human resources is particularly serious. As a result, the workforce on-site is becoming more diverse, including turnover of workers and the hiring of foreign laborers. In order to maintain quality while meeting strict deadlines, each site is engaged in daily trial and error. Therefore, we will introduce scenes where AI can be utilized to shorten lead times on construction sites and improve the overall knowledge and skills of the organization.

When employees with important skills and know-how leave or transfer within a company, there is a problem of losing that knowledge. Properly managing and sharing the knowledge and information accumulated within the company with successors is a significant challenge for any organization. FRONTEO's AI (artificial intelligence) addresses this issue by extracting the tacit knowledge of experienced workers and converting it into explicit knowledge in a database. By leveraging the power of AI to classify, select, and prioritize large amounts of data, it becomes possible to systematically advance knowledge sharing and skill transfer within the organization.

In companies with many employees, such as those in manufacturing and construction, the need to clearly communicate the hazards on the worksite is increasing as the diversity of team members progresses. FRONTEO's AI "KIBIT" allows for easy sharing of the company's know-how, including past labor accident cases and countermeasures, at any worksite during KY activities. This is also effective for pre-training (KYT). Sharing and training through actual cases contribute to improving safety awareness throughout the entire company.

With the advent of ChatGPT, AI has become a focus not only for developers but also for the general public. Are you or your company utilizing ChatGPT in your operations? By the way, the expression "ChatGPT is AI" is actually not accurate. ChatGPT is the name of an AI service, and the underlying mechanism is a language processing technology called "GPT." So, what exactly is "AI (artificial intelligence)"? Can you explain it? The term "AI" is now widely used like a common noun, but in reality, there is no clear and unified definition. For business professionals, a foundational knowledge of AI is now essential. On this occasion, I would like to introduce an article to deepen your understanding of AI.

The "natural language processing AI," which analyzes and utilizes language through AI (artificial intelligence), is widely applied in various tools, including keyword searches in search engines and ChatGPT. For example, in keyword searches on Google and Yahoo!, AI technology allows for accurate search results even with minor typing errors or variations in notation. Additionally, with the popular ChatGPT, when a question is input, the AI generates a response in natural language. While keyword searches are common in searching, there is also growing attention on an advanced search method called "concept search," which goes beyond that and encourages new discoveries.

The chat-based service "ChatGPT," which is gaining attention among AI (artificial intelligence), is a type of generative AI. Generative AI is a useful tool that can learn from vast amounts of data, such as text, images, and audio, and create new content based on that learning. The emergence of generative AI has greatly expanded the potential for new ideas and discoveries. On the other hand, with the evolution of technology, ethical issues and concerns about privacy have also arisen. Therefore, it is considered important for companies and individuals to utilize it while maintaining an appropriate balance.

In machine learning, a method of AI, an essential factor for improving accuracy is the "quality of training data." For humans, having two or three sample training data points seems sufficient for making a reasonable judgment. However, for AI, it is challenging to derive accurate answers from such limited data. Why is that? In this article, we will explain the mechanism of machine learning and the reasons behind this in detail.

The much-discussed ChatGPT and other generative AIs are attracting attention. However, generative AIs consume a large amount of electricity, posing the challenge of "environmental impact." On the other hand, FRONTEO's AI "KIBIT" is an AI with extremely low power consumption and sustainable characteristics. KIBIT is a groundbreaking solution that balances corporate AI utilization with ESG compliance, adopting a "Green Micro AI" approach that features low power consumption and minimal environmental impact (=Green) along with a simple algorithm (=Micro).