Sold by: TEKsystems Global ServicesÂ
Transform fragmented content into AI-ready platforms that accelerate content insights and reduce operational costs.
Overview
Media companies face exponentially growing content libraries with audience data and metadata scattered across production systems, streaming platforms and marketing tools. Our Gen AI Data Foundation implementation unifies these silos into governed, scalable platforms that enable personalized viewer experiences, automated content tagging and real-time audience insights.
Benefits
- Accelerated content discovery: Reduce time to surface relevant content by up to 60% through unified metadata and AI-powered search
- Operational efficiency: Cut data processing costs by up to 50% with serverless, auto-scaling architecture
- Personalization at scale: Enable real-time content recommendations and audience segmentation across millions of viewers
Solution Details
Our implementation leverages Amazon S3 for centralized storage, AWS Glue for automated ETL processes, and Amazon Kinesis for real-time streaming data ingestion. The architecture integrates with existing MAM systems, CDNs and analytics platforms while maintaining governance and compliance requirements. We follow a four-phase approach: Discover and assess your current data landscape, design a unified architecture aligned to AWS well-architected framework, implement and validate with automated ingestion pipelines, and optimize and manage with continuous monitoring and knowledge transfer.
Why TEKsystems Global Services
As an AWS Premier Tier Services Partner with media and entertainment, data and analytics, and machine learning competencies, we bring proven expertise from hundreds of media transformations. Our solutions align to industry-specific workflows while preparing your data infrastructure for Gen AI innovation.
Request a consultation through AWS Marketplace to get started.
Highlights
- Accelerated content discovery: Reduce time to surface relevant content by up to 60% through unified metadata and AI-powered search
- Operational efficiency: Cut data processing costs by up to 50% with serverless, auto-scaling architecture
- Personalization at scale: Enable real-time content recommendations and audience segmentation across millions of viewers
Details
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Delivery method
Deployed on AWS
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Pricing
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