1. Execution Model
1.1. Co Sell
1.1.1. Azure Marketplace
1.1.2. SIs
1.1.3. ISVs
1.2. KPIs
1.2.1. EBCs
1.2.1.1. Metric
1.2.1.1.1. 1x per month
1.2.2. Customer Presentations
1.2.2.1. 2x per month
1.2.3. POCs
1.2.3.1. 8x per year minimum
1.2.4. Wins
1.2.4.1. 6x per year
1.2.4.2. NBA archive
1.2.4.3. EPL archive
1.2.5. Core Accounts
1.2.5.1. EPL
1.2.5.2. NBA
1.2.5.3. QRG
1.3. Awareness and Readiness
1.3.1. recordings for the field
1.3.2. whitepaper
1.3.3. LinkedIn Promotion
1.3.4. Battlecards
1.3.5. Webinars
1.3.6. Field
1.3.6.1. IAs
1.3.6.2. STU
1.3.6.3. ATU
1.4. Programs
1.4.1. TBD
2. Governance
2.1. Accountability
2.1.1. Internal reporting
2.1.1.1. RBL feedback
2.1.1.2. IA feedback
2.1.1.3. Sales Feedback
2.1.2. External Reporting
2.1.2.1. Customer Guidance
2.2. Product Gaps
2.2.1. Customer Feedback
2.2.2. Field Guidance
2.3. Pipeline Management
2.3.1. PDMs
2.3.2. Sales calls
2.3.3. IAs
2.3.4. Regional Leads
2.3.5. WW Strategy Team
3. Marketing
3.1. Solution Guide
3.2. Demonstrations
3.2.1. ISVs
3.2.2. System Integrators
3.3. GTM
3.4. Events
3.4.1. NAB
3.4.2. IBC
3.4.3. AI day in london
3.4.4. AI day in NYC
4. Speed to Market
4.1. POCs
4.1.1. ISVs
4.1.2. SI's
4.2. Production
4.2.1. SI's
4.2.2. ISVs
4.3. IP reuse
4.3.1. Azure Open AI
4.3.2. Video Analytics
4.3.3. Video Indexer
4.4. Solution Acceleration
4.4.1. ISE
4.4.2. ISD
4.4.3. Azure Accerlator
5. Abstract
6. Keywords
7. Executive Summary
7.1. Market Overview
7.1.1. Who needs the solutions
7.1.1.1. Broadcasters
7.1.1.2. Streaming companies
7.1.1.3. Sporting entities
7.1.1.4. Other "large content holders"
7.2. Market insights
7.2.1. Archives are still archaic
7.2.1.1. Metadata poor
7.2.1.2. still a lot on tape
7.2.1.3. need upgrades to get the value out of them
7.2.2. Personalization drives value
7.2.2.1. Language
7.2.2.2. Captions
7.2.2.3. Personalized Journeys
7.3. Industry Pillars
7.3.1. Optimize Operations
7.3.1.1. Intelligent Media Operations
7.3.1.1.1. Personalization
7.3.1.1.2. Archive
7.3.1.1.3. Editorial in the cloud
7.3.2. Empower Content Creators
7.3.3. Unlock Monetization
7.4. Market Opportunity
7.4.1. Size of the TAM
7.4.1.1. No real data on Archive as a Market
7.4.1.2. Personalization is dollars per customer a month
7.5. Why Microsoft
7.5.1. Make more money
7.5.1.1. Revenue enhancement
7.5.1.2. Personalized content
7.5.2. Save Money
7.5.2.1. Better automation
7.5.2.2. Deduplication
7.5.2.3. Operational efficiency
7.5.3. AI partner
8. state of the industry
8.1. Trends
8.1.1. AI solutions integation speeding up
8.1.2. Migrations to the cloud continuing
8.1.3. Customer engagement key to keeping and winning viewers
8.2. Challenges
8.2.1. Organic
8.2.2. Fragemented distribution channels
8.2.3. Monetization
8.2.4. Increased pace of tech change
8.2.5. Legacy systems
8.2.6. Sustainability
8.3. Competitors
8.3.1. Cloud services providers
8.3.1.1. AWS
8.3.1.2. GCP
9. Scenarios
9.1. Customers
9.1.1. Personas
9.1.1.1. CRO
9.1.1.2. CTO
9.1.1.3. CFO
9.1.1.4. Head of Ops
9.1.2. Markets
9.1.2.1. Broadcasters
9.1.2.2. Sports Leagues
9.1.2.3. Sports networks
9.1.2.4. Large library holders
9.2. Solutions
9.2.1. First Party
9.2.1.1. VM
9.2.1.2. AKS
9.2.1.3. Storage
9.2.1.4. Fabric
9.2.1.5. AI/ML
9.2.1.6. Dynamics
9.2.1.7. Intelligent Recommendations
9.2.1.8. Remote Desktop
9.2.1.9. Security
9.2.1.9.1. Data and application
9.2.1.9.2. Infra and access management
9.2.1.9.3. identity and access management
9.2.1.9.4. Customer access
9.2.2. ISVs
9.2.2.1. Archive
9.2.2.1.1. Support Partners
9.2.2.1.2. PFT
9.2.2.1.3. IPV
9.2.3. System Integrators
9.2.3.1. Southworks
9.2.3.2. Support Partners
9.2.3.3. Accenture
9.3. Deployment Options
9.3.1. System Integrators
9.3.2. SaaS