In this study session, we will invite Professor Toshihiro Okuyama from Sophia University, who has been active on the front lines of journalism for many years as a former Asahi Shimbun reporter, and who continues to raise and explain social issues through the media, as well as actively participating in the hundred-member committee. He will provide an explanation of the Whistleblower Protection Act and responses to scandals, incorporating real examples. 【Event Overview】 ◆ Date and Time: November 1, 2024 (Friday) 16:00 - 17:00 ◆ Format: Free Webinar (A Zoom URL will be sent after registration) ◆ Tool Used: Zoom Webinars ◆ Participation Conditions: - Those using free email addresses, those from competing companies, and those whose affiliations are unclear are requested to refrain from registering. - When accessing Zoom on the day of the event, please enter the name and email address you provided at the time of registration in the Zoom participation input field.

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.

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.

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.

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.