AI & Data Seminar
2026-08-19 02:04:48

Upcoming Online Seminar on AI and Data Analytics in Real Estate Management

Free Online Seminar on AI and Data Analytics for Real Estate Management



On September 14, 2026, at 16:00, a free online seminar titled 'Leveraging Generative AI and Data Analytics for Sustained Customer Preference in Property Management' will take place. This event, hosted by 株式会社いい生活 (Good Living Inc.), aims to explore how generative AI and data analytics can transform the real estate industry, focusing particularly on rental management and brokerage services.

As the real estate sector continues to evolve, companies face the challenge of effectively utilizing generative AI, often finding that while they may have experimented with the technology, real transformations in operational processes remain elusive. Good Living recognizes that while many businesses have accumulated vast amounts of data through their core systems, they often struggle to translate this data into actionable insights for decision making and owner proposals. This seminar will focus on bridging this gap.

Seminar Details

  • - Date and Time: September 14, 2026, from 16:00 to 17:00
  • - Format: Online
  • - Cost: Free
  • - Registration: Participants can register through a dedicated form on the event's webpage.

The seminar will feature guest speaker Kai Watanabe, from ソウルドアウトライズ株式会社 (Soulled Out Rise Inc.), who has extensive experience in utilizing generative AI and data analytics to improve real estate operations. Watanabe will share practical insights on how to redesign business processes by integrating AI and data analysis, thus strengthening relationships with property owners and tenants. This approach, based on the concept of AI and Business Process Re-engineering (BPR), is essential for companies aiming to achieve sustained customer preference in rental management.

Who Should Attend?

This seminar is particularly beneficial for:
  • - Those who have implemented AI and data analytics but have yet to see significant results.
  • - Property managers looking to enhance their proposal strategies to reduce tenant turnover.
  • - Professionals seeking to leverage core system data for better decision making and customer proposals.
  • - Companies interested in streamlining their reporting tasks to increase time spent on client interactions.

The Expert: Kai Watanabe

Kai Watanabe has a rich background in real estate technology, having joined a property software company in 2014. With experience in rental guarantee product sales and the implementation of core systems, Watanabe has worked closely with both executives and field managers, supporting process improvements in real estate companies. Since joining Soulled Out Rise Inc. in April 2026, he has been focused on developing management dashboards for rental companies and redefining business processes through generative AI and data analytics.

Good Living’s Commitment to Security


株式会社いい生活 places significant emphasis on data security, ensuring customer information is protected through three fundamental measures:
1. Structural Separation: The company maintains a clear boundary between office environments and the data custody management environments, minimizing risk through physical and virtual separation.
2. Zero Trust Architecture: By implementing a zero trust policy that assumes no one is trustworthy, internal access is rigorously verified through multi-factor authentication processes.
3. Cloud-Native Solutions: Operations are designed from the ground up to function fully in cloud environments, thus eliminating traditional vulnerabilities associated with file sharing.

Good Living has acquired multiple international security certifications, including ISO/IEC 27001, ISO/IEC 27017, and ISO/IEC 20000, reflecting its commitment to stringent security standards and operational integrity. The company's mission is to not just be a vendor, but a strategic partner that ensures continuous and reliable real estate operational foundations.

For more information on Good Living, visit their official website.


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Topics Consumer Products & Retail)

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