Transforming Unstructured Data Through Generative AI
In today's fast-paced world, businesses are inundated with unstructured data formats such as paper documents, handwritten notes, and analog meters. While companies have long tried to digitize this information, merely converting it into a digital format isn't enough. The real challenge lies in how to structure and utilize this data effectively to derive meaningful insights.
Morpho AI Solutions, a subsidiary of the Morpho Group, is a pioneer in this field. On October 14, 2025, Morpho AI Solutions is co-hosting a webinar with To22, titled "Unlocking Valuable Insights from On-Site Data: Overcoming the Barriers of Unstructured Data Through Generative AI and Structuring". This event is geared towards professionals looking to leverage Generative AI as a tool for improving their digital transformation (DX) strategies.
Webinar Overview
- - Date and Time: October 14, 12:00 PM - 1:00 PM (JST)
- - Location: Online (Zoom)
- - Cost: Free
- - Registration: Click here to register
Agenda
1.
12:00 - 12:05: Welcome and introductions
2.
12:05 - 12:25: Part 1 - How to Transform Unstructured Data into Usable Information?
- Presented by Morpho AI Solutions, this segment will focus on the techniques and practices of OCR and image analysis to digitize onsite paper and drawings.
3.
12:25 - 12:45: Part 2 - Transforming to Usable DX Through Generative AI!
- To22 will cover methods to convert structured data into actionable insights for decision-making and knowledge creation.
4.
12:45 - 1:00: Panel discussion and Q&A session
Major Challenges in Structuring Unstructured Data
Businesses often struggle with the adaptability of unstructured data types that are prevalent in various work environments. The key lies in not just digitizing this data but effectively structuring it for practical use. Morph AI Solutions aims to tackle this issue by sharing the technical challenges and breakthrough examples of utilizing Generative AI for structuring data.
Technological Insights
Morpho AI Solutions will discuss:
- - Why is it difficult to structure onsite data?
- - Approaches using AI-OCR, image AI, and large language models to solve these challenges.
Case Studies
The event will also cover successful case studies that showcase how institutions like the National Diet Library have developed AI-OCR technologies tailored for specific Japanese materials. Additionally, it will highlight the digitalization of manufacturing drawings and enhanced operational efficiency through image AI and large language models in infrastructure.
Target Audience
This webinar targets:
- - Professionals promoting DX and AI utilization
- - Individuals facing challenges with paper documents and handwritten drawings
- - Individuals who feel their structured data isn't translating into actionable business applications
- - Businesses wanting to maximize the use of Generative AI beyond simple search and interactions
About the Speakers
1.
Kohei Noma - CEO, To22: A graduate from Kyoto University, Kohei has a rich background in mechanical engineering and experience leading AI-driven business transformation projects.
2.
Naoyuki Yukawa - Senior Manager, Morpho AI Solutions: Naoyuki has extensive experience in GIS systems and is skilled in AI-OCR and digital archiving to drive DX in public sectors and beyond.
Conclusion
As organizations strive for digital transformation, the effective utilization of unstructured data becomes ever more critical. This webinar will provide crucial insights into how Generative AI can facilitate the structuring and actionable transformation of this data, providing organizations with meaningful advantages in their respective industries.
Join us on October 14 to learn more and unlock the potential of unstructured data with Generative AI!