How to leverage LLM to enhance the unstructured data ETL processing like image

To process a vast array of logistics forms, encompassing over 300 different formats, Ally Transport employs a combination of Large Language Models (GPT-4), Optical Character Recognition (OCR), and GPT-4 Vision. This integration significantly improves accuracy in image processing. Leveraging these technologies, Ally Transport has greatly enhanced its data processing efficiency, substantially reducing the time required and minimizing the need for human intervention

Key Takeaways

• The challenge of unstructured data is a major pain point for traditional industries in data processing.
• Exploring ways to leverage Large Language Models (LLMs) in traditional industry data processing to minimize human effort.
• How to create an unstructured data processing system using AI technologies such as LLMs, OCR, and Vision, and its potential to transform industries like retail and manufacturing that are not digitally native.”
• A comparison of the LLM+OCR approach with other industrial solutions, such as Google Document AI, highlighting the advantages of the LLM+OCR methodology.

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Bio

Wisely Chen | Chief Data officer | Ally Transport | Taiwan

Wisely Chen, serving as the Chief Data Officer at Ally Transport, has set a transformative goal to revolutionize the traditional logistics and transportation industry through innovative AI and Data technology applications. His vision encompasses reshaping the future of the transportation sector with a keen focus on ESG (Environmental, Social, and Governance) principles, and playing a significant role in reducing the carbon footprint in logistics. Before his tenure at Ally Transport, Chen was an ex-employee at Google, where he specialized in data engineering, data architecture, and actively engaged in the practical aspects of AI and Data transformation. His expertise and commitment to technological advancements led him to collaborate with over 10 prominent enterprise companies in the Greater China region, guiding them through their digital and AI-centric transformations, thereby shaping the future of how businesses leverage technology for strategic growth and sustainability.