Key information:
April 16 (Thursday)
Time: 10:00 a.m.
Live stream
Share entry:
Do you know how much time and resources are required to manually catalog information from video content?
During this session, we’ll show you how this process can be almost completely automated!
Based on a real-world implementation, you’ll see how we used AWS Lambda, AWS Step Functions, and integrations with image and text processing services to build a system that automatically analyzes end credits and exports cast data with nearly 100% accuracy.
This approach enables the transformation of unstructured video data into structured business data that can be further processed, analyzed, and integrated with analytics systems—while significantly reducing operating costs.
What you'll learn
During the event, you will learn:
- How to build a serverless pipeline in AWS for video analysis
- How does workflow orchestration work in AWS Step Functions?
- How to use AWS Lambda for subtitle processing and data extraction
- How to integrate the solution with AI/ML services on AWS
- How to achieve high accuracy in extracting data from video footage
- How to Design Scalable Data Processing Systems in the AWS Cloud
- How to Reduce Operating Costs with Serverless Architecture
Speaker
Krzysztof Mietliński
Expert in AWS cloud architecture and serverless solutions.
A special guest is also scheduled to appear during the webinar.
Why AWS and serverless?
Serverless architecture on AWS enables:
- Scalable video processing without the need to manage infrastructure
- Automated process orchestration with AWS Step Functions
- Fast data processing using AWS Lambda
- integration with AI/ML services on AWS (e.g., image and text analysis)
- cost optimization through a pay-as-you-go model