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    HCLTech Media-IQ | AI-Driven Media Archival&Content Intelligence on AWS

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    Sold by: HCLTech 
    HCLTech Media-IQ transforms passive media archives into active, monetizable assets using GenAI. This solution features "Touch-and-Go" storage tiering, semantic search via Amazon Bedrock, and predictive restoration on AWS

    Overview

    Media companies face operational and financial challenges managing massive archives—tape libraries, siloed NAS systems, fragmented metadata, and unpredictable retrieval costs. Legacy "store-and-forget" models limit content reuse, delay restoration for monetization opportunities, and incur hidden cloud costs through inefficient storage tiering.

    The HCLTech Media-IQ solution delivers an intelligent media supply chain designed for petabyte-scale content. Unlike standard migrations, Media-IQ utilizes a proprietary "Touch-and-Go" ingestion strategy that avoids the 30-day minimum duration fees of standard cloud tiering. It combines Amazon Bedrock Data Automation for deep content understanding with a "Master Vault" architecture to minimize Total Cost of Ownership (TCO) while maximizing asset liquidity.

    Key Benefits and Features:

    • Designed to Reduce Total Cost of Ownership (TCO) "Touch-and-Go" Strategy: Utilizing Amazon S3 Standard for transient processing (avoiding S3 Standard-IA minimum duration penalties) before immediately transitioning masters to Amazon S3 Glacier Deep Archive.

    Predictive Optimization: Automated Amazon SageMaker models analyze storage logs and marketing calendars (via Amazon AppFlow) to "pre-warm" assets only when needed, preventing expensive rush-retrieval fees.

    Eliminate CapEx: Remove reliance on physical tape libraries, climate control costs, and multi-million dollar hardware refresh cycles.

    • AI-Ready Metadata & Semantic Discovery

    GenAI Content Intelligence: Automate metadata extraction using Amazon Bedrock Data Automation to identify celebrities, scene context, and sentiment.

    Vector Search: Enable "Google-like" semantic search in Amazon OpenSearch Service, allowing editors to find clips by concept (e.g., "Tense car chase") rather than just filename. Instant Visual Preview: Automated generation of lightweight H.264 proxies via AWS Elemental MediaConvert, kept in hot storage for instant viewing without restoring the vaulted master.

    • Enable Data Sovereignty and Compliance

    Master Vault Security: Deploy in supported AWS Regions to align with data residency laws. Immutable Preservation: Leverage S3 Object Lock in Compliance Mode to ensure "Golden Masters" are tamper-proof and align with retention mandates. Zero-Trust Ingest: Integrate seamlessly with on-premises storage using AWS Direct Connect and AWS DataSync for checksum-verified, bit-perfect migration.

    • Automated & Observable Infrastructure

    Serverless Orchestration: Automate complex ingest and restore lifecycles using AWS Step Functions, removing manual operator overhead. Governance Layer: Deep operational visibility via Amazon Athena and Amazon QuickSight, ensuring all AI predictions and storage moves are based on governed, auditable data.

    Our Proven Methodology

    Our engagement follows a simple three-step process to ensure success:

    1. Assessment: We analyze your current archival landscape, tape/NAS dependencies, and perform a "Dark Data" assessment to estimate TCO savings.
    2. Solution Design: We tailor the Media-IQ architecture, defining the "Touch-and-Go" retention policies, GenAI prompt engineering, and the "Master Vault" vs. "Proxy" workflow.
    3. Validation & Deployment: We deploy a proof-of-concept using a subset of your data to validate the predictive restore logic and search capabilities before full-scale migration.

    Solution Scope, Prerequisites, and Responsibilities

    • Scope of Offering: This professional services offering includes the assessment, solution design, and deployment of the HCLTech Media-IQ platform on AWS. The engagement delivers a tailored reference architecture that addresses operational efficiency, GenAI integration, and cost optimization.

    • Prerequisites: Customer must have an established AWS account and landing zone. Customer must provide access to their NAS/tape archive inventory and metadata sources for integration planning.

    • Shared Responsibility Model:

    • HCLTech: Delivers the professional services outlined in the assessment, design, and deployment phases of this engagement. Optional managed services are available under a separate contract.

    • Customer: Owns archival content, manages access policies, and is responsible for ongoing operation of the deployed solution.

    • AWS: Provides and maintains the underlying cloud infrastructure in line with the AWS Shared Responsibility Model. See AWS documentation for more details.

    Highlights

    • Significant TCO Reduction: Achieve 50-70% lower run-rate costs by optimizing storage classes and eliminating "ghost storage" fees during ingest.
    • Instant Discovery, Low Cost: Search and view proxies in seconds via OpenSearch and S3 Standard, while the heavy master files sit in the lowest-cost Deep Archive.
    • Predictive Restoration: "Pre-warm" content automatically based on marketing schedules, ensuring assets are ready before editors ask for them

    Details

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    Deployed on AWS
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    Support

    Vendor support

    This offering includes support during the engagement period. Post-deployment, customers can engage HCLTech for ongoing managed services and lifecycle optimization through a separate agreement. Standard AWS Support models are available for any issues related to the underlying AWS services.

    For more information please reach out to awsecosystembu@hcltech.com