AWS AI UG - North America

Speakers and Sessions:
Speaker: Phil Basford, Head of Data & AI Consulting at Cognizant
Session Title: Intelligent Document Processing on AWS
Description: The insurance industry has billions of historical documents; with hundreds of thousands more being generated every day. The documents, in varying formats are used both internally and with other insurers to agree terms, assess risk and create accurate quotes. Historically each document can take a few hours or even days to manually process and needs to be loaded into each company’s systems. AI is helping several companies to reduce this processing time to minutes by automating the process using Intelligent Document Processing (IDP), saving time, increasing the accuracy, and readying the data for further analysis - giving valuable insights back to the business. IDP uses the latest AI services; Amazon’s Bedrock, Textract to extract text, Amazon Comprehend to classify and detect entries in the documents and custom models with labelled grown truth in SageMaker. This architecture will look at these services alongside the pre-processing, processing, and post processing challenges and showcase how to jointly leverage these services for the best success.
Using IDP, one customer achieved an accuracy of 90%+ and a more than 500x reduction in processing time across over £500 million worth of business

Speaker: Robert Luna, Senior Developer Advocate (Open Source & Valkey) at AWS
Session Title: Turbo-charge your SQL application with automatic query caching
Description: Modern Java applications built on relational databases often face a common challenge: as application traffic grows, read queries become the dominant source of database load. This is especially true for frequently accessed but infrequently updated data. Often times those queries require joins and aggregations across large data sets to fetch just a few rows of results. This can be very resource constraint and may even lead to performance issues. AWS Advanced JDBC wrapper presents a solution to this challenge by allowing caching query results from expensive and repetitive read queries to an in-memory cache like Valkey. You can dramatically reduce database load and improve query latency while maintaining or even improving application performance.

Agenda (GMT / UK):
18:00 — Welcome and Introduction — Ethan Sumner
18:05 — Phil Basford
18:40 — Break
18:50 — Phil Basford
19:30 — Close and networking

We are always keen to hear from:
• Speakers — case studies, engineering deep dives, demos and applied AWS AI stories
• Hosts — organisations able to provide space for future meetups
• Sponsors — support with refreshments, recording, marketing or accessibility

If you would like to speak, sponsor, or host a future event, please get in touch with Ethan Sumner via LinkedIn.

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