AI document analysis lets you automate data extraction and processing for more effective results. But you often have to deal with concurrency bottlenecks, expensive failures, and inconsistencies from LLMs.
In this webinar, we’ll walk through how to orchestrate a reliable, scalable document analysis pipeline with Temporal, from Optical Character Recognition (OCR) and embedding generation to vector search and AI-powered recommendations. Learn how Temporal orchestrates every step as a durable workflow, making the system scalable, fault-tolerant, and provider-flexible.
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Senior Solutions Architect
Temporal Technologies
Anthony Wong is a Senior Solutions Architect at Temporal, where he partners with startups to design, review, and optimize their Temporal use cases before and after launch. He advises teams on architecture tradeoffs, scalability strategies, and cost optimization to help them build durable, production-ready systems.
Prior to joining Temporal, Anthony was a Solutions Engineer at Twilio, where he worked with customers to implement and scale Twilio and Salesforce integrations in production environments.