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Comcast Engineering

To connect people to what matters most through innovative technology that creates a world of unlimited possibilities.

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To connect people to what matters most through innovative technology that creates a world of unlimited possibilities.

Strengths

  • INFRASTRUCTURE: Robust network and technology infrastructure
  • SCALE: Significant resource capacity and technical talent pool
  • PLATFORM: Advanced streaming technology platforms (Peacock)
  • INTEGRATION: Successful tech integration across business units
  • INNOVATION: Strong R&D capabilities in broadband and connectivity

Weaknesses

  • LEGACY: Technical debt from aging systems requiring modernization
  • AGILITY: Slow technology deployment compared to digital natives
  • TALENT: Difficulty attracting top-tier AI and ML engineering talent
  • SILOS: Engineering teams working in isolation across divisions
  • ARCHITECTURE: Monolithic architectures limiting innovation speed

Opportunities

  • AI: Implement AI across customer service and content delivery
  • CLOUD: Accelerate cloud migration for flexibility and efficiency
  • IOT: Expand smart home and IoT connectivity solutions
  • 5G: Leverage 5G for new product innovations and services
  • AUTOMATION: Increase DevOps and automation to improve velocity

Threats

  • COMPETITION: Pure-play streaming companies with tech advantage
  • DISRUPTION: Emerging technologies bypassing traditional networks
  • SECURITY: Increasing cybersecurity threats to critical systems
  • REGULATION: Changing tech regulations impacting development
  • TALENT: Tech talent war with high-profile tech companies

Key Priorities

  • MODERNIZATION: Accelerate cloud migration and legacy modernization
  • DATA: Build unified data platform for personalization and insights
  • TALENT: Develop AI engineering talent acquisition and development
  • AUTOMATION: Implement DevOps and CI/CD across all products

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To connect people to what matters most through innovative technology that creates a world of unlimited possibilities.

MODERNIZE

Create a future-ready technology foundation

  • MIGRATION: Complete cloud migration for 75% of customer-facing applications by end of Q2
  • ARCHITECTURE: Implement microservices architecture for 5 critical systems with 30% performance gain
  • LEGACY: Reduce technical debt by 25% through modernization of 12 legacy systems
  • AUTOMATION: Achieve 85% test automation coverage across all product development pipelines
UNIFY DATA

Harness the power of our enterprise data

  • PLATFORM: Launch unified customer data platform connecting 7 business units and 15 data sources
  • INSIGHTS: Deploy 12 cross-platform analytics dashboards used by 80% of product teams
  • PERSONALIZATION: Increase content personalization accuracy by 40% through ML implementation
  • GOVERNANCE: Implement enterprise data governance framework with 100% regulatory compliance
BUILD TALENT

Cultivate world-class engineering expertise

  • ACQUISITION: Increase technical hiring success rate to 85% with 20% reduction in time-to-hire
  • DEVELOPMENT: Train 500 engineers in AI/ML fundamentals with 90% certification completion
  • RETENTION: Improve engineering talent retention by 15% through career development programs
  • CULTURE: Achieve 80+ eNPS score within engineering organization through culture initiatives
ACCELERATE AI

Lead the industry in practical AI implementation

  • EXCELLENCE: Launch AI Center of Excellence serving all business units with 25 certified experts
  • USE-CASES: Implement 10 high-impact AI use cases delivering $25M in annualized value
  • INFRASTRUCTURE: Build scalable AI/ML infrastructure supporting 500+ models in production
  • INNOVATION: Develop 3 industry-first AI applications in content discovery and network optimization
METRICS
  • Technology Transformation Completion: 95% of planned initiatives on schedule
  • Engineering Velocity: 40% increase in feature delivery speed
  • System Reliability: 99.99% uptime across all customer-facing platforms
VALUES
  • Innovation and Creativity
  • Integrity and Respect
  • Customer-Centricity
  • Inclusion and Collaboration
  • Excellence and Quality

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Align the learnings

Comcast Engineering Retrospective

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To connect people to what matters most through innovative technology that creates a world of unlimited possibilities.

What Went Well

  • BROADBAND: Successful expansion of broadband infrastructure with 2Gbps
  • STREAMING: Peacock platform achieved 31% subscriber growth YoY in Q1
  • MOBILE: Wireless subscriber additions exceeded target by 22% this quarter
  • AUTOMATION: IT operations costs reduced 12% through automation efforts
  • RELIABILITY: Network uptime improved to 99.99% across all services

Not So Well

  • CLOUD: Cloud migration initiatives behind schedule by approximately 15%
  • TALENT: Engineering talent attrition rate increased to 17% this quarter
  • INTEGRATION: Cross-platform data integration projects missed deadlines
  • ADOPTION: Internal DevOps adoption slower than forecasted by 20%
  • SECURITY: Three significant security incidents impacted service delivery

Learnings

  • COORDINATION: Better cross-team coordination needed for tech initiatives
  • OVERSIGHT: Improved governance required for multi-year transformation
  • PLANNING: More realistic timelines needed for complex system migrations
  • CULTURE: Engineering culture change is prerequisite for transformation
  • SKILLS: Technical skill gaps identified in key emerging technology areas

Action Items

  • FRAMEWORK: Implement enterprise-wide technology transformation framework
  • TALENT: Launch comprehensive engineering talent development program
  • ARCHITECTURE: Accelerate modular architecture adoption across platforms
  • GOVERNANCE: Create unified technology governance and metrics dashboard
  • COLLABORATION: Establish cross-functional engineering innovation teams

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To connect people to what matters most through innovative technology that creates a world of unlimited possibilities.

Strengths

  • DATA: Vast customer data sets across multiple business units
  • FOUNDATION: Established AI research initiatives in key areas
  • INFRASTRUCTURE: Strong compute capabilities for AI workloads
  • INVESTMENT: Significant AI investment capacity with clear ROI
  • USE-CASES: Identified high-value AI applications in core business

Weaknesses

  • TALENT: Limited specialized AI engineering talent pool
  • INTEGRATION: Fragmented AI initiatives across business units
  • GOVERNANCE: Underdeveloped AI governance and ethics frameworks
  • ARCHITECTURE: Data silos limiting full AI potential
  • LEGACY: Legacy systems hampering AI model deployment speed

Opportunities

  • PERSONALIZATION: Enhanced content recommendation engines
  • AUTOMATION: AI-powered customer support and operations
  • PREDICTION: Network performance optimization and forecasting
  • CONTENT: AI-assisted content creation and metadata generation
  • SECURITY: Advanced threat detection and network protection

Threats

  • COMPETITION: Tech giants with mature AI capabilities
  • REGULATION: Evolving AI regulations affecting implementation
  • PRIVACY: Consumer concerns about AI and data usage
  • DISRUPTION: AI-first startups creating novel entertainment tech
  • VELOCITY: Rapid pace of AI innovation outpacing adoption

Key Priorities

  • PLATFORM: Build unified AI platform across all business units
  • TALENT: Launch AI Center of Excellence with training program
  • GOVERNANCE: Create comprehensive AI governance framework
  • EXECUTION: Implement high-impact AI use cases in core business

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AI Disclosure

This report was created using the Alignment Method—our proprietary process for guiding AI to reveal how it interprets your business and industry. These insights are for informational purposes only and do not constitute financial, legal, tax, or investment advice.

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