Helen_Zeng

Document Intelligence and Index Creation Using Azure ML with Parallel Processing (Part 1)

Besides Azure portal, you can also do document intelligence and index creation in ML studio. The entire process of index creation includes several steps, crack_and_chunk, generate_embeddings, update_index, and register_index. In Azure ML studio you can create or use components for each of those steps and stitch them together as a pipeline.  Section 1. What is […]

Document Intelligence and Index Creation Using Azure ML with Parallel Processing (Part 1) Continue Reading

A Solution for ML Pipeline in Multi-tenancy Manner

Very often, Solution Providers have enterprise scenarios for deploying ML pipelines, where involves multiple tenants and each tenant may have their own Azure subscription. There are some situations when designing the enterprise solution, for example: Each tenant may want to keep their own data non-shared. Each tenant has their own computing and hosting environment for

A Solution for ML Pipeline in Multi-tenancy Manner Continue Reading