From Content to Value

TSAmediaHUB
TSA
Telefónica Servicios Audiovisuales
From Content to Value
The Intelligent Media Architecture of TSAmediaHUB
Date
June 2026
Audience
Executives, CIOs, CTOs, Technical Directors, Media Operations Managers, Innovation Managers, Digital Transformation leads, and the Broadcast, OTT/IPTV, Marketing, Communications, Audiovisual Archive, and Business Development areas.
Objective
To provide a strategic and technical framework for understanding TSAmediaHUB as an intelligent media architecture and a managed audiovisual operation model. The document analyzes how TSAmediaHUB makes it possible to transform traditional audiovisual infrastructures into a modular, outsourced environment ready for IP workflows, MAM/PAM with Dalet or Tedial, cloud playout with GV AMPP, AI enrichment, automatic subtitling, carrier-grade distribution, operational resilience, and value activation through AVS.
Authors
Asier Anitua, Business Development & Innovation Manager, TSA — Telefónica Servicios Audiovisuales;
Raquel de las Heras, KAM TSAmediaHUB, Telefónica Servicios Audiovisuales
Page 1|34

TSAmediaHUB
1. Executive Summary
The audiovisual and media sector is undergoing the fastest structural transformation in its history. The convergence of IP workflows, cloud infrastructures, AI-based automation, and the explosion of content formats is dismantling architectures that have served the industry for decades. Organizations unable to evolve their technical and operating models will face an existential competitive threat over the next three to five years.
TSAmediaHUB is Telefónica Servicios Audiovisuales’ response to this transformation. It is not a product.
It is not a platform in the traditional sense.
It is an architecture for intelligent media, fully outsourced: TSA assumes the client’s entire media operation —infrastructure, workflows, people, and intelligence— and runs it as a managed, continuously improving service, backed by Telefónica’s global infrastructure.
At the core of TSAmediaHUB lies a dual MAM strategy: Tedial Evolution for corporate clients, agile SMBs, sports, content portals, and new digital activation models; Dalet Pyramid for tier-1 broadcast; a cloud-native playout architecture based on GV AMPP; asset intelligence with AI through Etiqmedia; and a functional evolution of the Tedial environment incorporating open AI, MCP interoperability, AirShare, Media Portal, Smart Packs, integrated editing, collaborative workflows, IMF support, and advanced rights management. On this foundation runs the Adaptive Value System (AVS): TSA’s proprietary model for scoring, routing, and monetizing media assets through contextual intelligence.
The result: clients gain operational certainty, a future-ready architecture, and a path to monetization driven by AI, without taking on the capital investment, integration risk, or talent burden of building it themselves.
The TSAmediaHUB proposition
TSA does not sell technology. TSA fully outsources the client’s media operation in its entirety — people, infrastructure, and intelligence— and delivers it as a continuously evolving managed service, backed by one of the largest telecommunications networks in the world.
Page 2|34

TSAmediaHUB
TSAmediaHUB
in 11 Key Capabilities
For the decision-maker who needs the full picture before getting into the technical detail.
Capability
What it means for the client
1. Layered architecture (C1– C9)
A fully integrated media value chain: from signal acquisition to final distribution, with no silos or manual dependencies between systems.
2. Dual MAM strategy
Tedial Evolution for corporate, sports, content-portal, campaign, and digital- distribution environments; Dalet Pyramid for tier-1 broadcast. The right stack for each client, with no compromises and no dependence on a single platform.
3. Cloud-native playout (GV AMPP)
Broadcast-grade playout in private cloud. Linear, FAST, and event-driven channels. No per-channel hardware. Scaling in minutes.
4. AI in real production (Etiqmedia)
Etiqmedia as the central AI engine in production —subtitling, transcription, dubbing, and classification— open to proprietary or third-party models when the use case requires it.
5. Adaptive Value System (AVS)
A proprietary engine in development that scores each asset in real time and automates distribution, archiving, and monetization decisions based on contextual value.
6. Carrier-grade distribution
Satellite (Hispasat + tier-1 + Starlink), Telefónica Empresas fiber, and proprietary tier-1 IP PoPs. One network, one point of contact, global EMEA/LATAM coverage.
7. Enterprise storage
IBM in production and nearline. Quantum LTO for deep archive. A metadata index accessible by AI at all times, regardless of storage tier.
8. Unified monitoring (DataMiner)
End-to-end visibility of signal, workflow, and infrastructure. 24×7 NOC. Cross- layer root-cause correlation. Measurable, audited SLA.
9. Managed disaster recovery
DR planned, tested, and executed by TSA as an end-to-end service. Contractual RTO/RPO. Automatic multipath failover in under a minute.
10. Full outsourcing (E1+E2+E3)
TSA does not design and hand off: TSA operates, maintains, and owns the SLA. The client’s people, infrastructure, and intelligence are absorbed and managed by TSA on an ongoing basis.
11. Content activation and monetization
Media Portal, AirShare, Smart Packs, approval workflows, social analytics, and granular rights management to turn the audiovisual archive into a distributable, measurable, and monetizable asset.
Page 3|34

TSAmediaHUB
TSAmediaHUB — From content to value, to action. AVS as the architecture’s decision core.
Page 4|34

TSAmediaHUB
2. The Sector’s Real Problem
Media organizations today face a convergence of structural pressures for which legacy architectures —designed for linear workflows, departmental silos, and dedicated hardware— are simply not prepared.
2.1 The Five Fractures
Fracture
Root Cause
Operational Consequence
Format explosion
OTT, FAST, social, VOD, UHD, HDR, immersive
Multiplied versioning cost, fragmented workflows
Transition to IP
Incomplete SDI-to-IP migration across the sector
Hybrid complexity, dual-stack operations, security exposure
AI gap
AI capability available but without real integration
Manual processes persist where automation should dominate
Talent shortage
Broadcast engineers retiring, with no generational replacement
Operational risk, knowledge concentration, cost escalation
Monetization pressure
Advertising revenue fragmented across platforms
Under-monetized archive, under- exploited rights, clips with no assigned value
2.2 Why Current Architectures Fail
The dominant response to these pressures has been the incremental acquisition of technology: adding MAM systems, deploying cloud transcoding, piloting AI tools in isolation. The result is a deeper version of the same problem. Complexity accumulates. Integration debt grows. And the fundamental question —what is this content worth, to whom, right now— remains unanswered.
Point solutions generate point intelligence. What the sector needs is systemic intelligence: a unified model that understands content, context, and commercial value simultaneously, and acts on that understanding across the entire media supply chain.
Page 5|34

TSAmediaHUB
2.3 The Market Recognizes the Problem
Significantly, the leading vendors themselves acknowledge this systemic gap in their own positioning, validating TSAmediaHUB’s architectural direction. Tedial positions Evolution as an environment to prepare, archive, enrich, and deliver content faster, with full traceability and advanced search and metadata-management capabilities. Dalet frames Pyramid as a modular platform for planning, ingest, editing, publishing, and playout, able to orchestrate complex workflows and automate processes over the MAM core. DataMiner defines MediaOps as a data-driven automation and operations layer to plan, monitor, and orchestrate resources, signals, and workflows in complex media environments. Grass Valley positions AMPP as a system deployable on-prem, in private, public, or hybrid cloud, with centralized control for different distribution models.
The conclusion is unequivocal: the sector’s problem is no longer having powerful tools; it is making them operate as a single, intelligent system. That is exactly the problem TSAmediaHUB is designed to solve.
Page 6|34

TSAmediaHUB
3. Limitations
of Current Architectures
3.1 The Integrator Model
Traditional media technology integrators deliver competent implementations of third- party systems. Their value proposition is bounded: design, deployment, handover. The client inherits the operational burden —staffing, license renewals, version management, incident response— with no systemic intelligence connecting the layers.
Crucially, integrators have no direct stake in the operational game. Their incentive is the next project, not the continued performance of the last one.
3.2 The Vendor Platform Model
The media platforms of the major cloud vendors (AWS Media Services, Microsoft Azure Media, Google Cloud Media) offer elastic infrastructure and AI services. But they are infrastructure providers, not media operators. The client still has to architect, integrate, and operate the media supply chain on top of a generic compute fabric. Audiovisual domain knowledge is not included.
3.3 The Conventional Managed-Service Model
Conventional managed-service providers reduce the operational burden but rarely deliver transformation. They run the client’s existing architecture more efficiently without questioning whether that architecture is the right one. Outsourcing without intelligence is, quite simply, externalized maintenance.
The gap no one is filling
The sector needs an operator that combines deep audiovisual domain knowledge, carrier-grade infrastructure, systemic AI integration, and commercial alignment with the client’s content- monetization goals. TSAmediaHUB is built to fill exactly that gap.
Page 7|34

TSAmediaHUB
4. TSAmediaHUB Architecture
TSAmediaHUB is a layered intelligent media architecture. Each layer is individually best- in-class; together, they form an end-to-end intelligent pipeline from signal acquisition to content monetization.
4.1 Architecture Overview
Layer
Function and Key Technologies
C1 · Acquisition and Ingest
IP contribution via SMPTE ST 2110 · Satellite (Hispasat, Starlink, tier-1 providers) · Fiber contribution over Telefónica’s MPLS backbone
C2 · Processing and Transcoding
Multiformat transcoding and normalization · IP 2110 signal processing · Format versioning for multiplatform distribution
C3 · Media Asset Management
Tedial Evolution (corporate, SMB, sports, campaigns, and portals) · Dalet Pyramid (tier-1 broadcast) · Unified metadata schema across both stacks · Per-tenant portals and access models
C4 · Workflow Orchestration
Tedial Evolution workflow engine · Dalet Pyramid orchestration · Collaborative approval workflows · Embedded external integrations · Client- specific automation · Automatic routing tied to the SLA and, where applicable, to AVS signals
C5 · Playout and MCR
GV AMPP cloud-native playout · Private-cloud deployment · Linear, non- linear, and event-driven output · Integrated graphics and channel branding
C6 · AI and Intelligence
Etiqmedia AI platform · Speech-to-text (live and archive) · Automatic subtitling in broadcast · AI-assisted dubbing and transcreation · Asset classification and tagging · Integration of proprietary or third-party models · MCP/Agentic AI as an emerging interoperability layer · AVS value scoring (in development)
C7 · Monitoring and Assurance
Unified OSS/BSS monitoring with DataMiner · End-to-end signal quality · Workflow SLA tracking · Incident prediction and alerting
C8 · Distribution
Satellite distribution (Hispasat + tier-1 orbital slots) · Starlink contribution for remote newsgathering and breaking news · Telefónica tier-1 PoPs (global IP backbone) · Telefónica Empresas fiber network (EMEA/LATAM)
C9 · Storage and Archive
IBM enterprise storage (primary/nearline) · Quantum Scalar LTO tape (deep archive) · Object-based nearline for AI-accessible retrieval · Policy-based lifecycle management
Page 8|34

TSAmediaHUB
Master Diagram — TSAmediaHUB Architecture C1–C9 with cross-cutting AVS layer and Outsourced Operation
Page 9|34

TSAmediaHUB
4.2 The Dual MAM Strategy
One of TSAmediaHUB’s defining architectural decisions is the deliberate deployment of two complementary MAM ecosystems rather than a single monolithic platform. This is not a transitional state: it is a deliberate strategic architecture.
Dimension
Tedial Evolution
Dalet Pyramid
Target client profile
Corporate media, SMB, regulated sectors
Tier-1 broadcast, news, sports, streaming
Workflow philosophy
Process-first, compliance-oriented
Content-first, oriented to production speed
Editing integration
Adobe Premiere · Cutting Room as an integratable cloud editor · IMG.LY and other embedded editors under evaluation depending on the technical and commercial model
Premiere + NLE-agnostic via Dalet connectors
Orchestration engine
Tedial Evolution workflow engine
Dalet Pyramid orchestration layer
Scalability model
Modular horizontal scaling
Enterprise media supply-chain scaling
AI readiness
Etiqmedia · Proprietary or third-party models · Semantic search · MCP/Agentic AI integration when the workflow justifies it
Native Dalet AI services + Etiqmedia augmentation
Digital activation
AirShare for social distribution, feedback, metrics, and multi-account management
Publishing and distribution via available Dalet connectors and workflows
Portalization and business
Media Portal, Smart Packs, rights, download approvals, and controlled sale/distribution
Enterprise broadcast cases with publishing, distribution, and supply-chain orchestration
The bridge between the two stacks is a unified metadata schema and a shared Etiqmedia AI enrichment layer, ensuring that assets produced on either platform are described, searched, and scored consistently by the AVS engine.
4.3 Evolution of the Tedial Environment: from MAM to
Content Activation Hub
The evolution of the Tedial stack within TSAmediaHUB expands the MAM’s role from operational asset management toward a layer for content activation, collaboration, distribution, and monetization. This evolution is especially relevant for corporate clients, sports, brands, agencies, institutions, rights owners, and organizations with an under- monetized audiovisual archive.
The differential value lies not in adding isolated tools, but in integrating them within governed workflows: each asset retains traceability, permissions, approval status, rights context, usage metrics, and activation capability across internal or external channels.
New capability
Application within TSAmediaHUB
Open AI and external tools
Flexible integration of proprietary or third-party models —including OpenAI, Eleven Labs, AWS Rekognition, Moments Lab, or other specialized solutions— to match the intelligence to the content type, language, privacy, and business case.
MCP and agentic interoperability
Use of MCP as an emerging layer so that AI systems, MAMs, editors, portals, and external
Page 10|34

TSAmediaHUB
applications can communicate and execute processes: ingest, distribution, approval, search, versioning, or commercial activation.
AirShare and social distribution
Multi-account publishing, per-client credential management, feedback, metrics import, and content preparation for social networks, with manual, assisted, or automated adaptation depending on the connected tool.
Collaborative approval workflows
Video review, time-coded comments, editorial/legal/commercial validation, and publishing control before the asset goes out to social networks, portals, partners, or end clients.
Integrated and embedded editing
Connection with editors such as Cutting Room, Premiere plugins, and evaluation of IMG.LY or other web editors to create, adapt, or package pieces from within the hub environment.
Smart Packs by vertical
Grouping of functionality by business case: advertising campaigns, brands, agencies, influencers, sports, corporate, commercial portals, or third-party distribution.
Media Portal and monetization
A content distribution or sales portal with granular access, approvals, rights, controlled downloads, per-client customization, and governed self- service models.
IMF support and professional deliveries
Reception, storage, conversion, and distribution of IMF packages, with generation of derivatives such as ProRes or H.264 and adaptation to professional delivery requirements when the client needs it.
These capabilities shift Tedial from a corporate-MAM position toward a functional platform for audiovisual business: search, activation, collaboration, rights control, distribution, and monetization on a single operational foundation.
Page 11|34

TSAmediaHUB
5. The Adaptive Value System (AVS)
What the AVS is
AVS is TSA’s proprietary intelligence layer that continuously scores each media asset across four dimensions —content value, audience relevance, commercial opportunity, and operational status— and uses that score to drive automated decisions throughout the entire media supply chain. The AVS is currently under active development.
5.1 The Problem the AVS Solves
Media archives are, structurally, graveyards of value. Organizations accumulate enormous quantities of content whose commercial potential is unquantified, whose technical condition is undocumented, and whose rights status is unknown. The result: content that should be generating revenue sits in cold storage while editorial teams rebuild from scratch what they already own.
The AVS reverses this dynamic. It treats each asset as a commercial instrument under continuous evaluation, not as a static file.
5.2 AVS Architecture: Inputs, Processing, Outputs
AVS Component
Description
Input: Asset Metadata
Technical metadata (format, resolution, codec, duration) enriched by Etiqmedia AI classification
Input: Audience Signals
Consumption patterns, platform analytics, audience demographics by content type
Input: Rights and Compliance Status
Rights windows by territory, platform, and language · Embargo and hold states
Input: Commercial Context
Active campaigns, advertiser-interest signals, FAST-channel demand, licensing-opportunity indicators
Input: Operational Status
Archive tier, retrieval cost, transcoding status, distribution availability
Processing: Value Scoring Engine
A multidimensional scoring model that produces a composite Asset Value score (AVS-score) on a continuous basis
Output: Distribution Routing
Automated channel, platform, and format decisions for each asset based on the current AVS-score
Output: Archive Policy
Dynamic tier assignment —active, nearline, deep archive— driven by the score’s trajectory
Page 12|34

TSAmediaHUB
Output: Monetization Triggers
Automatic alerts and packaging for licensing, FAST insertion, clip commercialization, and syndication
Output: Editorial Intelligence
Recommendations to production teams on high-value archive content relevant to the current editorial agenda
5.3 Applied AI vs. Decision Intelligence: An Important
Distinction
TSAmediaHUB operates on an honest and strategically relevant distinction between two levels of AI capability that the market frequently conflates.
Level
Definition · Current status in TSAmediaHUB
Applied AI (operational today)
AI that executes defined tasks: speech-to-text, automatic subtitling, dubbing, asset classification, metadata enrichment. Etiqmedia delivers this in real production environments today. It improves efficiency and enriches content, but it executes, it does not decide.
Decision Intelligence (AVS — in development)
AI that scores, prioritizes, and acts: it determines which asset has the greatest commercial value in a given context, routes it to the right platform, triggers the appropriate monetization action, and updates the archive policy according to trajectory. This is what the AVS delivers. No other managed media service in EMEA/LATAM is building this natively.
This distinction matters commercially. Many competitors offer applied AI today. Very few can credibly present a roadmap toward embedded decision intelligence, because decision intelligence requires the full-stack operational context that only an outsourced architecture like TSAmediaHUB possesses. The data to train and operate the AVS is generated by the platform itself, in real operations, at scale.
5.5 AVS Roadmap: From Manual Operation to
Autonomous Intelligence
The AVS does not appear out of nowhere. It is built on a logical progression of capabilities, some already operational and others in structured development. This transparency is deliberate: TSA does not sell vision without foundation; it sells a traceable evolution.
Page 13|34

TSAmediaHUB
Horizon
Status
Capabilities
TODAY — Applied AI
Operational in production
Manual and semi-automatic asset scoring · Tagging and classification by Etiqmedia · Workflow rules based on enriched metadata · Automatic subtitling and live transcription
NEXT — Rules and Inference
In active development
Operator-configurable value-rules engine · Automatic scoring based on consumption and commercial signals · Automated monetization alerts and editorial recommendations · AVS-score integration into MAM workflow engines
FUTURE — Adaptive ML
Defined roadmap
Machine learning models trained on the platform’s real operational data · Predictive scoring of future asset value · Autonomous optimization of distribution and archiving · Proactive detection of unsolicited monetization opportunities
AVS Roadmap — From Applied AI operational today to autonomous Decision Intelligence
Page 14|34

TSAmediaHUB
The AVS’s competitive advantage is not only technological: it is structural. Tomorrow’s machine learning model is trained on the data generated by today’s outsourced operation. No competitor that does not operate the full media chain can replicate that data cycle.
The AVS operates above the MAM layer, consuming enriched metadata from both the Tedial and Dalet environments. It does not replace the MAM’s workflow logic: it augments it with commercial intelligence. The AVS-score becomes an operational parameter that the MAM workflow engines can consume as a decision variable, enabling value-driven automation at scale.
Page 15|34

TSAmediaHUB
6. AI and Data Layer
TSAmediaHUB’s AI strategy is defined by one principle: no AI capability that is not connected to an operational outcome. AI is not deployed as a demonstration; it is deployed as infrastructure.
6.1 Etiqmedia: Central AI Engine
Etiqmedia is the AI platform that underpins all content intelligence in TSAmediaHUB. It provides a unified AI enrichment layer applied to every asset ingested into the platform, regardless of the MAM stack in which it resides.
Etiqmedia Capability
Operational Application in TSAmediaHUB
Speech-to-text (live and VOD)
Real-time transcript generation for live broadcast signals · Post- production transcription for archive search · Input to the automatic subtitling pipeline
Automatic live subtitling
Broadcast-standard-compliant subtitling for live programming · SDH and accessibility formats · Multilingual output
AI-assisted dubbing and transcription
Automated voice-track generation for international versioning · Localization acceleration for LATAM and EMEA markets
Asset classification
Scene-level tagging, facial recognition (opt-in), object detection · Semantic categorization over editorial ontologies
Metadata enrichment
AI-generated descriptors incorporated into the MAM metadata schema · Powers archive search, AVS scoring, and editorial recommendation
6.2 Live AI: Subtitling and Transcription in Production
TSAmediaHUB operates automatic live subtitling in real broadcast environments. It is not a lab capability: it is a production service running on real broadcast signals, with output integrated into the playout chain.
The pipeline is: live ingest → Etiqmedia ASR → subtitle formatting and synchronization → integration with GV AMPP playout → distribution. Latency is managed within broadcast-compliant tolerances. The language models are tuned for news, sports, and corporate-content domains.
6.3 Automatic Dubbing and Transcription
For clients with international distribution requirements —especially in EMEA and LATAM— TSAmediaHUB provides an automated dubbing workflow. The source audio
Page 16|34

TSAmediaHUB
is transcribed by Etiqmedia, translated using domain-appropriate language models, synthesized into target-language voice tracks, and synchronized with the video timeline.
This workflow reduces localization production time by an order of magnitude compared with traditional dubbing pipelines, enabling same-day or next-day international versioning of news, corporate communications, and programmatic content.
6.4 Open AI, MCP, and External Tools
TSAmediaHUB’s AI layer is kept deliberately open. Etiqmedia operates as the central AI engine in production, but the hub can integrate external or local models when the use case requires specific capabilities, data control, language, cost, semantic specialization, or technological sovereignty.
Integratable capability
Operational use
Proprietary or local model
Sensitive-content cases, regulated environments, or clients requiring full control of data and inference.
OpenAI or other LLMs
Summary generation, semantic analysis, editorial support, entity extraction, metadata normalization, and assistant agents over the archive.
Eleven Labs or other AI voices
Voiceover, dubbing, synthetic versions, and voice- track generation for corporate, digital, or international pieces.
AWS Rekognition / Moments Lab / others
Visual recognition, scene analysis, moment detection, advanced indexing, or specialized enrichment by vertical.
MCP
Interoperability between systems and tools to automate workflow actions: search, upload, transformation, publishing, approval, or distribution.
The strategic consequence is significant: TSAmediaHUB is not tied to a single AI. It can select the most appropriate tool per client, per asset type, and per operational outcome, while always keeping workflow governance, permissions, and the SLA under TSA’s responsibility.
Page 17|34

TSAmediaHUB
7. Playout Architecture: GV AMPP
TSAmediaHUB’s playout infrastructure is built on Grass Valley AMPP (Agile Media Processing Platform), deployed in a private-cloud architecture. It is a strategic decision that defines the platform’s operational character.
7.1 Why GV AMPP in Private Cloud
GV AMPP is a software-defined playout platform, microservices-based and designed for IP-native, cloud-resident operation. Its deployment in private cloud gives TSAmediaHUB precise control over latency, security perimeter, and SLA performance: factors critical to broadcast-grade playout commitments that the major vendors’ public clouds cannot reliably guarantee.
GV AMPP Capability
Application in TSAmediaHUB
Software-defined MCR
A fully virtual master control room · Elimination of dependence on SDI hardware
Microservices architecture
Granular resource scaling per channel and per function
Native IP 2110
End-to-end ST 2110 signal flow from ingest to playout output
Cloud-native resilience
N+1 redundancy without hardware duplication · Rapid capacity scaling for events
Private-cloud deployment
Defined latency envelope · Isolated security domain · SLA ownership by TSA
7.2 Playout as a Managed Service
For clients outsourced under TSAmediaHUB, playout is delivered as a fully managed service. TSA owns the infrastructure, the software licenses, the operations team, and the SLA. The client defines the editorial schedule and the branding parameters. Everything else is TSA’s responsibility.
Page 18|34

TSAmediaHUB
8. Distribution Infrastructure
TSAmediaHUB’s distribution architecture is a real competitive differentiator. Very few media technology providers in EMEA and LATAM can offer what TSA offers: a fully integrated distribution stack spanning satellite, fiber, and IP, owned and operated by a tier-1 carrier.
8.1 Distribution Stack
Distribution Layer
Capability
Satellite
Hispasat orbital infrastructure · Additional tier-1 satellite providers · Starlink for contribution (remote locations, breaking news, mobile production) · C- and Ku-band capacity management
Terrestrial Fiber
Telefónica Empresas national and international fiber backbone · Dedicated media circuits with guaranteed QoS · MPLS-protected routes for broadcast contribution
IP Distribution
Tier-1 PoPs in EMEA and LATAM · Peering agreements for low- latency last-mile delivery · CDN integration for OTT and streaming outputs
Hybrid Routing
Intelligent path selection across satellite / fiber / IP based on content type, priority, and SLA requirements
8.2 The Telefónica Infrastructure Advantage
TSAmediaHUB operates on one of the most extensive telecommunications networks in the world. This is not a marketing argument: it is an engineering reality that translates directly into client outcomes: greater geographic reach, greater redundancy, lower latency to key markets, and a single contractual point of contact for all distribution requirements.
Competitors without carrier ownership must aggregate distribution from multiple providers, managing multiple SLAs, multiple technical interfaces, and multiple commercial relationships. TSA’s clients manage one.
Page 19|34

TSAmediaHUB
9. Hybrid Architecture: The Best of Each Environment
TSAmediaHUB does not compete with the major cloud providers. It orchestrates them. TSAmediaHUB’s hybrid architecture is designed to place each function in the environment that resolves it best —private cloud, public cloud, on-premises, or carrier network— and to connect those environments transparently, without the client needing to manage that complexity.
This orchestration capability is a strategic advantage, not a concession. TSA does not depend on a single vendor or a single deployment model. That translates into architectural freedom for the client and into negotiating power that an operator captive to a single cloud cannot have.
9.1 Deployment Model by Function
Function
Optimal Environment · Rationale
Playout and MCR
Private cloud (GV AMPP) · Deterministic latency, controlled security perimeter, guaranteed broadcast SLA without dependence on public- cloud availability
Transcoding and peak processing
Public cloud (AWS MediaConvert, Azure Media, GCP Transcoder) · On-demand elasticity with no idle infrastructure · TSA orchestrates the load by cost and availability
Archive and disaster recovery
Hybrid storage · IBM on-prem for operational access · Quantum LTO for cold archive · Compatibility with cloud object storage for geographic DR
AI and asset enrichment
Hybrid · Etiqmedia in a controlled environment for sensitive content · Hyperscaler cognitive services for standard workloads when cost or scale justifies it
OTT and CDN distribution
Telefónica network + hyperscaler CDN by market · Telefónica for EMEA/LATAM with guaranteed QoS · AWS CloudFront or Azure CDN for occasional global coverage
Monitoring and observability
On-premises and private cloud (DataMiner) · Unified visibility across all environments regardless of where the services reside
Page 20|34

TSAmediaHUB
9.2 TSA’s Position in the Cloud Ecosystem
The major hyperscalers —AWS, Microsoft Azure, Google Cloud— offer compute, storage, and AI services at global scale. What they do not offer is operational audiovisual domain knowledge, proprietary media distribution infrastructure, or accountability for the final outcome of the client’s operation.
TSA does offer all of that. And that is why it can use the hyperscalers for what they are: providers of elastic capacity. TSAmediaHUB acts as the intelligent orchestration layer that decides when, how much, and from whom to consume cloud resources, based on the cost, latency, service criticality, and data-sovereignty requirements of each client.
Cloud neutrality as an operational advantage
TSAmediaHUB is not wedded to any hyperscaler. That means the client always receives the optimal combination of environments for their specific operation, and that TSA can renegotiate or reassign workloads when cloud-market conditions change — without the client having to manage or suffer it.
Page 21|34

TSAmediaHUB
10. Disaster Recovery and Operational Resilience
TSAmediaHUB is designed and operated as mission-critical infrastructure. Broadcast and media operations have a near-zero tolerance for unplanned outages. TSA’s resilience architecture reflects this reality.
10.1 Disaster Recovery as a Managed Capability
TSAmediaHUB offers Disaster Recovery as an end-to-end managed service, not as an optional add-on. For clients whose primary operations run under the TSAmediaHUB outsourcing, DR is planned, tested, and executed by TSA. RTO and RPO commitments are defined in the service agreement and verified through scheduled exercises.
DR Dimension
TSAmediaHUB Approach
Playout continuity
GV AMPP private-cloud failover · Geographically separated primary and secondary instances
MAM continuity
Synchronized Tedial / Dalet instances · Automatic failover with metadata- consistency verification
Distribution continuity
Multipath routing across satellite and IP · Automatic route failover with switchover in under a minute
Storage resilience
IBM primary with cold replication to Quantum LTO · Off-site tape custody for critical archive content
Monitoring during incident
Alert and incident management with DataMiner · TSA NOC response 24×7
MCP
Emerging interoperability layer between systems, AI tools, and external applications to trigger automated processes within the hub
10.2 Outsourcing and Operational Continuity
One of the underrated benefits of the TSAmediaHUB outsourcing model is its impact on operational continuity. When TSA outsources a client’s operation, it assumes responsibility not only for the technology but for the operational knowledge embedded in the client’s team. Staff are absorbed, trained, and integrated into TSA’s operational framework, eliminating the single-point-of-failure risk that characterizes many in-house broadcast operations.
11. Operational Impact
Page 22|34

TSAmediaHUB
TSAmediaHUB is designed to deliver measurable operational improvement across five dimensions. What follows represents the expected impact profile for a typical outsourced client in the broadcast or corporate-media segment.
Operational Dimension
TSAmediaHUB Impact
Production speed
Workflow automation via Tedial Evolution and Dalet Pyramid reduces manual intervention in routine media supply-chain tasks. IP 2110 contribution eliminates the delays associated with physically transporting media. Typically: asset preparation and delivery time reduced from 4–8 hours to under 30 minutes for standardized processes.
Localization speed
AI-assisted dubbing and subtitling compress international versioning from 2–3 days to under 24 hours for news, corporate, and programmatic content. For live subtitling: latency of seconds relative to the original broadcast.
Archive accessibility
Etiqmedia’s AI enrichment turns previously opaque archives into fully searchable assets. Retrieval of relevant archive content in seconds versus manual searches that typically require hours or days of editorial work.
Infrastructure cost
GV AMPP private-cloud playout eliminates per-channel hardware capital investment. The shared-infrastructure model spreads fixed costs across the client portfolio. Reference estimate: playout CapEx reduction on the order of 40–60% versus equivalent dedicated hardware infrastructure.
Operational headcount
The outsourcing model transfers operational staff to TSA. The client retains editorial and commercial headcount. Operational FTE cost becomes a predictable service line item, eliminating the variability of payroll, training, and replacements.
Resilience
Managed DR, 24×7 NOC monitoring via DataMiner, and multipath distribution reduce exposure to operational risk. Target: RTO under 15 minutes for critical playout, with automatic distribution failover in under 60 seconds.
Page 23|34

TSAmediaHUB
12. Use Cases
The following use cases draw on TSAmediaHUB’s modular architecture, which can integrate MAM/PAM solutions such as Dalet or Tedial, cloud playout with GV AMPP, AI enrichment, automatic subtitling, quality control, IP distribution, media portals, and managed audiovisual operation services.
Case 1: National Broadcaster — Full Outsourcing
A national tier-1 broadcaster facing the end of life of its on-premises SDI playout and MAM infrastructure contracts TSA to outsource its entire media operation. TSA migrates the playout infrastructure to GV AMPP private cloud, implements Dalet as the production MAM, and deploys Etiqmedia’s AI enrichment over the archive. The broadcaster’s technical operations team is absorbed into TSA’s operational structure under the outsourcing terms. Live subtitling is activated for all news production within the first 90 days of migration. The broadcaster’s operating cost shifts from capital-intensive infrastructure ownership to a predictable monthly service fee.
Case 2: Live Events and Sports — IP Contribution and
Playout
A sports rights holder producing events across multiple EMEA locations requires high- reliability contribution from remote venues with unpredictable connectivity environments. TSA deploys a hybrid contribution architecture that combines dedicated Telefónica fiber circuits for the main venues with Starlink as a managed contribution path for secondary and remote locations. All contributions are ingested via IP 2110 at TSA’s hub facilities. GV AMPP handles live multichannel playout for regional linear distribution, with simultaneous OTT packaging for delivery on streaming platforms. DataMiner provides end-to-end signal monitoring from camera to viewer.
Case 3: Corporate Media — Automatic Subtitling and
International Distribution
A multinational with internal media production needs in EMEA and LATAM contracts TSAmediaHUB for corporate video production, automatic subtitling, and international distribution. The content is produced at the client’s main location, ingested into the MAM/PAM integrated in TSAmediaHUB —based on Dalet or Tedial depending on the client’s operating model— and enriched with Etiqmedia AI (speech-to-text, classification, tagging) and automatically subtitled into up to six languages. The versioned outputs are distributed over Telefónica’s IP backbone to the regional distribution points. The entire workflow —from ingest to international delivery— runs under a four-hour SLA.
Page 24|34

TSAmediaHUB
Case 4: Club, League, or Federation — Media Portal
and Archive Activation
A sports organization with thousands of hours of historical content, training sessions, interviews, highlights, academy footage, and institutional pieces uses TSAmediaHUB with MAM/PAM capabilities based on Dalet or Tedial to turn the archive into an active service. Assets are ingested and enriched with AI; organized by player, team, competition, season, right, and territory; and published on a Media Portal for press, sponsors, federations, partners, or commercial clients. Approval workflows control what can be downloaded, who can view it, and under what conditions. AirShare enables activation of social versions, while the AVS can prioritize assets by editorial or commercial opportunity.
Case 5: Brand or Agency — Campaigns, Influencers,
and Governed Social Distribution
A brand or agency needs to manage audiovisual campaigns with multiple pieces, formats, approvals, markets, influencers, and social channels. TSAmediaHUB structures the environment through Smart Packs: each campaign has its own assets, rights, versions, comments, approvals, and outputs. Content is adapted to social networks through AirShare and embedded editing tools; publishing metrics flow back to the hub; and AI can suggest improvements to length, narrative, or format before publishing. The client gains a professional mini media operation without building a corporate television channel in-house.
Case 6: Retail — Brand Measurement, Product
Placement, and Campaign Intelligence
A retail chain with a presence in multiple markets needs to assess the real visibility of its brands, products, and campaigns across television, digital platforms, social networks, events, influencer content, and partner-generated materials. TSAmediaHUB makes it possible to centralize that content, analyze it with AI, and automatically detect logos, products, mentions, visual appearances, relevant audio, and usage context.
Content from agencies, social networks, video platforms, external media, and points of sale is ingested into the hub and enriched with image-analysis capabilities, multilingual speech recognition, automatic transcription, and semantic classification. Logo and product- placement detection makes it possible to quantify brand presence, measure exposure, compare markets, and evaluate a campaign’s audiovisual performance without relying exclusively on manual reporting.
Marketing, trade-marketing, communications, and brand-management teams gain access to dashboards, intelligent searches, and traceable audiovisual evidence. The system makes it possible to identify which pieces perform best, which products have the greatest presence, which messages recur, which markets generate the most impact, and which content should be reused, corrected, or amplified.
The result is an audiovisual intelligence operation for retail that turns video into a measurable source of brand insights, reduces analysis time, improves decision-making, and makes it possible to optimize campaigns with a multichannel, international, and secure view.
Case 7: Thematic Channels — Versioning, Subtitling, and Multiplatform Distribution
Page 25|34

TSAmediaHUB
A group of thematic channels operating across different countries needs to manage large volumes of programs, promos, short pieces, episodes, trailers, international masters, localized versions, subtitles, audio tracks, and promotional materials. The operation requires adapting each piece to multiple platforms, languages, territories, and technical requirements while maintaining quality, regulatory compliance, and editorial traceability. TSAmediaHUB acts as the central platform for ingest, cataloging, transcoding, automatic quality control, subtitling, version generation, and distribution. Content is organized by channel, season, episode, territory, language, exploitation window, rights, and editorial status. AI capabilities make it possible to automatically generate transcripts, synchronized subtitles, translations, audio descriptions, and enriched metadata.
Automatic quality control validates video, audio, subtitles, synchronization, and technical requirements before delivery to each platform. The system can work with technical formats such as STL, PAC, or other standards required by broadcasters, OTT operators, FAST platforms, international distributors, or aggregators.
The result is a more agile and secure operation for thematic channels: fewer manual tasks, fewer delivery errors, faster localization, better accessibility, and the ability to exploit the same content in more languages, territories, and platforms without multiplying operational resources.
Case 8: OTT and IPTV — Content Preparation,
Validation, and Delivery
An OTT/IPTV platform needs to prepare, validate, and distribute large volumes of audiovisual content for different devices, qualities, languages, user profiles, and territories. The priority is to guarantee a stable user experience, avoid publishing errors, accelerate the availability of new titles, and maintain an efficient flow from content reception to final publishing.
TSAmediaHUB centralizes the process of ingest, normalization, transcoding, subtitling, synchronization, quality control, and delivery. Content enters the hub with its editorial, technical, and rights metadata; is automatically adapted to the defined distribution profiles; and is validated before publishing through automatic checks of video, audio, subtitles, formats, synchronization, and technical consistency.
The workflow makes it possible to generate versions adapted to different OTT/IPTV environments, including multilingual audio, subtitles, delivery formats, review proxies, and final packages for distribution. Issues are detected early, located within the content, and returned to the operations team for resolution before they affect the end user.
The result is a more robust audiovisual supply chain: lower risk of publishing errors, faster content onboarding, better quality control, greater post-production efficiency, and the ability to operate in Spain, LATAM, and other markets supported by Telefónica’s audiovisual infrastructure and experience.
Case 9: Public Administration — Accessible,
Multichannel Institutional Communication
A public administration needs to produce, manage, and distribute press conferences, plenary sessions, appearances, institutional events, official notices, citizen campaigns, and emergency communications quickly, accessibly, and traceably. The challenge is not only to publish video, but to turn each appearance into useful content for citizens, media, web portals, social networks, the documentary archive, and internal communication. TSAmediaHUB makes it possible to centralize the production and management of this content in a secure environment. Each video is ingested, cataloged, transcribed, and
Page 26|34

TSAmediaHUB
enriched automatically. AI generates summaries, identifies key topics, extracts operational headlines, facilitates the creation of press releases, and makes it possible to adapt content to the institution’s editorial style.
The system automates subtitles, translations, audio descriptions, social-media clips, accessible versions, and formats adapted to different publishing channels. In critical situations, the hub makes it possible to accelerate the dissemination of official information, maintain control over published messages, and ensure that citizens can access content under appropriate conditions of accessibility, language, and availability.
The result is more agile, inclusive, and governed institutional communication. The administration reduces manual tasks, improves response times, protects its audiovisual archive, facilitates documentary search, and turns its content into reusable assets for transparency, public communication, institutional memory, and crisis management.
Case 10: Security Forces — Secure Management of
Sensitive Video and Critical Operations
A security force needs to manage signals and content from bodycams, drones, IP cameras, urban cameras, mobile devices, control rooms, special operations, and incident recordings. The content is sensitive, may have operational or judicial value, and requires immediate access, traceability, protection, permission control, and the ability to analyze it in real time or after the fact.
TSAmediaHUB provides a secure environment to ingest, view, analyze, classify, and query critical audiovisual material. Signals may come from multiple simultaneous sources and be organized by operation, location, time, unit, source type, confidentiality level, case file, or event. AI makes it possible to identify patterns of interest, locate relevant moments, transcribe audio, detect objects, recognize operational contexts, and accelerate the search for key information.
Access is governed through profiles, permissions, encryption, auditing, and control of viewing, editing, and downloading. This makes the information useful to command centers, analysis units, operational managers, or judicial environments without compromising the security of the content or the operational chain of custody.
The result is a faster response to incidents, greater control over sensitive information, better coordination among audiovisual sources, and the ability to evolve toward a critical, scalable video operation integrated with existing police, judicial, or security systems.
Case 11: Media — Intelligent Archive, Editorial
Production, and Content Reuse
A media group holds thousands of hours of historical archive, news pieces, interviews, raw footage, programs, live broadcasts, special coverage, documentary material, and current- affairs content that is difficult to locate, reuse, and exploit. Editorial pressure demands quickly finding images, statements, topics, people, places, and specific moments in order to produce new pieces in less time.
TSAmediaHUB transforms the audiovisual archive into an intelligent editorial production system. Content is ingested into a MAM/PAM platform integrated in TSAmediaHUB, with Dalet or Tedial as the media-management core according to production, archive, newsroom, and distribution needs; it is enriched with AI and organized through automatic metadata: transcripts, subtitles, translations, detection of people, objects, logos, locations, topics, dates, rights, and editorial relationships. Reporters, archivists, producers, and editors can locate material in seconds through semantic searches, keywords, recognized entities, or time segments.
Page 27|34

TSAmediaHUB
The platform manages permissions, access, editorial states, alerts, versions, and workflows, making it possible to keep control over who can consult, edit, download, or publish each asset. In addition, content can be transformed into clips, social pieces, summaries, multilingual versions, or materials for digital distribution with less dependence on manual processes.
The result is a more productive newsroom, a more exploitable archive, and a more efficient editorial operation. The outlet reduces search time, improves content reuse, accelerates news production, and turns its audiovisual heritage into a living asset for newscasts, specials, documentaries, social networks, OTT platforms, and new monetization lines.
Page 28|34

TSAmediaHUB
Page 29|34

TSAmediaHUB
13. Technical Reference
13.1 Standards and Protocols
Standard / Protocol
Application in TSAmediaHUB
SMPTE ST 2110
Primary IP media transport standard in contribution, production, and playout infrastructure
SMPTE ST 2022
Compressed IP video transport for contribution and distribution paths
HLS / DASH / CMAF
Adaptive streaming output formats for OTT and VOD distribution
DVB-S2 / DVB-S2X
Coding standard for satellite distribution
MXF / IMF
Media container formats for archiving and interchange
EBU-TT / IMSC1
Subtitle interchange formats for broadcast and streaming compliance
NMOS IS-04/05
IP media device discovery and connection management
13.2 Storage Architecture
Technology · Policy
The commitment of outsourcing
Unlike consultancies that deliver designs and cloud providers that deliver infrastructure, TSA delivers an outsourced operation: it designs, operates, maintains, and owns the SLA. The difference is not externalizing tasks, but transforming the audiovisual operation with permanent responsibility.
Active (Tier 0)
IBM enterprise storage · Assets in active production workflows · High-IOPS access profile
Nearline (Tier 1)
IBM nearline storage · Assets with a retrieval frequency greater than monthly · Restore in under a minute
Deep Archive (Tier 2)
Quantum Scalar LTO · Assets with a low probability of retrieval · Policy-based migration from Tier 1 · TSA has planned Quantum infrastructure for the next generation
AI-accessible index
Metadata indexes and proxies maintained on fast-access storage regardless of the asset’s tier · Enables instant Etiqmedia and AVS access to the entire archive without physical restoration
13.3 Monitoring Architecture
DataMiner is deployed as a unified OSS/BSS monitoring platform across the entire TSAmediaHUB stack. It provides signal-quality monitoring from ingest through distribution, workflow SLA tracking across both MAM environments, infrastructure-health monitoring across the storage, compute, and network layers, and integration with TSA’s 24×7 Network Operations Center. DataMiner’s correlation engine enables cross-layer root-cause analysis —identifying whether a service degradation originates in the signal
Page 30|34

TSAmediaHUB
chain, the workflow engine, the storage layer, or the network— reducing mean time to diagnosis and mean time to resolution.
14. Why TSA
TSAmediaHUB’s value proposition does not rest on any single technology component. It rests on the combination of capabilities that no other provider in EMEA and LATAM can replicate as a whole.
Competitive Dimension
TSA vs. the Market
Carrier infrastructure
TSA is the only media technology operator in EMEA/LATAM with direct ownership of satellite, fiber, and IP distribution at tier-1 scale. Competitors must aggregate these assets from third parties.
Dual MAM expertise
Simultaneous Tedial and Dalet experience at production depth is scarce in the market. TSA offers the right stack for the right client without the cost or risk of imposing a single platform on every use case.
Outsourcing model
TSA does not deploy and walk away. It assumes operational responsibility. This aligns TSA’s commercial interest with the client’s performance in a way that project-based integrators cannot match.
AI in production
Etiqmedia’s AI operates in live broadcast environments today, not in a lab or a proof of concept. This track record of operational AI is a material differentiator versus competitors that offer AI roadmaps.
AVS as a strategic asset
The AVS, currently in development, will be the only content-value scoring system embedded natively in a full-stack managed media service. Once deployed, it will represent a capability available nowhere else in the market.
Commercial scale and flexibility
Telefónica’s balance sheet, infrastructure scale, and commercial flexibility allow TSA to structure deals —including the full financial outsourcing of the client’s CapEx— that smaller providers cannot replicate.
The commitment of outsourcing
Unlike traditional consultancies that deliver designs but not operation, and unlike cloud providers that deliver infrastructure but not domain knowledge, TSA delivers something different: a fully outsourced operation. TSA does not only design the solution: it operates it, maintains it, and owns the SLA. It is the convergence of carrier-grade infrastructure and deep audiovisual workflow knowledge. It is not externalization. It is transformation with permanent responsibility.
Page 31|34

TSAmediaHUB
15. Conclusion
The broadcast and media sector will not be won by the organizations with the best individual technologies. It will be won by those that achieve systemic intelligence: the ability to understand what content is worth, to whom, on which platform, right now, and to act on that understanding automatically across the entire media supply chain.
TSAmediaHUB is designed to deliver exactly that. Its architecture —dual MAM strategy, Tedial’s evolution toward Media Portal, AirShare, Smart Packs, integrated editing, and advanced rights management; GV AMPP cloud playout; Etiqmedia AI open to external models; Telefónica distribution infrastructure; DataMiner monitoring, and the emerging AVS intelligence layer— does not exist to impress on a slide. It exists to run media operations better than clients can run them themselves.
The outsourcing model ensures that TSA’s success is inseparable from the client’s success. There is no handoff. There is no boundary where TSA’s responsibility ends and the client’s begins. There is one operation, one SLA, and one team accountable for its performance.
That is the TSAmediaHUB proposition. And it is, in essence, what the sector has long been waiting for.
For more information or to request a technical briefing on TSAmediaHUB:
Telefónica Servicios Audiovisuales
comercial.tsa@telefonica.com
Page 32|34

TSAmediaHUB
1. Executive Summary __________________________________________________ 2 TSAmediaHUB in 11 Key Capabilities ______________________________________ 3 2. The Sector’s Real Problem _____________________________________________ 5
2.1 The Five Fractures_______________________________________________________ 5 2.2 Why Current Architectures Fail ____________________________________________ 5 2.3 TheMarketRecognizestheProblem________________________________________6
3.LimitationsofCurrentArchitectures_____________________________________ 7
3.1 The Integrator Model ____________________________________________________ 7 3.2 The Vendor Platform Model_______________________________________________ 7 3.3 The Conventional Managed-Service Model___________________________________ 7
4. TSAmediaHUB Architecture____________________________________________ 8
4.1 Architecture Overview ___________________________________________________ 8 4.2 The Dual MAM Strategy _________________________________________________ 10 4.3 Evolution of the Tedial Environment: from MAM to Content Activation Hub _______ 10
5. The Adaptive Value System (AVS) ______________________________________ 12
5.1 The Problem the AVS Solves _____________________________________________ 12 5.2 AVS Architecture: Inputs, Processing, Outputs _______________________________ 12 5.3 Applied AI vs. Decision Intelligence: An Important Distinction __________________ 13 5.5 AVS Roadmap: From Manual Operation to Autonomous Intelligence ____________ 13
6. AI and Data Layer __________________________________________________ 16
6.1 Etiqmedia: Central AI Engine _____________________________________________ 16 6.2 LiveAI:SubtitlingandTranscriptioninProduction____________________________16 6.3 Automatic Dubbing and Transcription______________________________________ 16 6.4 Open AI, MCP, and External Tools _________________________________________ 17
7. Playout Architecture: GV AMPP _______________________________________ 18
7.1 Why GV AMPP in Private Cloud ___________________________________________ 18
7.2 Playout as a Managed Service ____________________________________________ 18
8. Distribution Infrastructure____________________________________________ 19
8.1 DistributionStack______________________________________________________19
8.2 The Telefónica Infrastructure Advantage ___________________________________ 19
9. Hybrid Architecture: The Best of Each Environment________________________ 20
9.1 Deployment Model by Function __________________________________________ 20
9.2 TSA’s Position in the Cloud Ecosystem _____________________________________ 21
10. Disaster Recovery and Operational Resilience ___________________________ 22
Page 33|34

TSAmediaHUB
10.1 Disaster Recovery as a Managed Capability ________________________________ 22
10.2 Outsourcing and Operational Continuity___________________________________ 22
11. Operational Impact ________________________________________________ 22 12. Use Cases ________________________________________________________ 24 Case 1: National Broadcaster — Full Outsourcing ________________________________ 24 Case 2: Live Events and Sports — IP Contribution and Playout______________________ 24 Case 3: Corporate Media — Automatic Subtitling and International Distribution _______ 24 Case 4: Club, League, or Federation — Media Portal and Archive Activation __________ 25 Case 5: Brand or Agency — Campaigns, Influencers, and Governed Social Distribution __ 25 Case 6: Retail — Brand Measurement, Product Placement, and Campaign Intelligence __ 25 Case 7: Thematic Channels — Versioning, Subtitling, and Multiplatform Distribution ___ 25 Case 8: OTT and IPTV — Content Preparation, Validation, and Delivery ______________ 26 Case 9: Public Administration — Accessible, Multichannel Institutional Communication_ 26
Case 10: Security Forces — Secure Management of Sensitive Video and Critical Operations ________________________________________________________________________ 27
Case11:Media—IntelligentArchive,EditorialProduction,andContentReuse _______27
13.TechnicalReference________________________________________________ 30
13.1 Standards and Protocols________________________________________________ 30 13.2 StorageArchitecture___________________________________________________30 13.3 MonitoringArchitecture________________________________________________30
14. Why TSA _________________________________________________________ 31 15. Conclusion _______________________________________________________ 32
Page 34|34