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Hisense Engineering

To power innovative home technology solutions by creating smart, connected devices that transform everyday living experiences worldwide.

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To power innovative home technology solutions by creating smart, connected devices that transform everyday living experiences worldwide.

Strengths

  • ECOSYSTEM: Comprehensive smart home ecosystem across multiple devices
  • MANUFACTURING: Vertical integration provides cost & quality control
  • R&D: 17 research centers globally with 10,000+ patents
  • SCALE: Global presence in 160+ countries with diverse product line
  • PARTNERSHIPS: Strategic collaborations with major tech companies

Weaknesses

  • TALENT: Engineering talent gap in emerging tech areas like AI/ML
  • TECH DEBT: Legacy systems limiting innovation velocity
  • INTEGRATION: Siloed development teams across global locations
  • UX: User experience inconsistencies across product lines
  • SECURITY: Inadequate security protocols for IoT implementations

Opportunities

  • IOT: Expanding smart home market projected to reach $490B by 2027
  • INTEROPERABILITY: Matter protocol adoption for cross-brand integration
  • EDGE: Edge computing to reduce latency in smart home applications
  • DATA: Leveraging product usage data for personalized experiences
  • GREEN: Eco-friendly product development aligning with regulations

Threats

  • COMPETITION: Increasing pressure from tech giants entering market
  • SECURITY: Rising cybersecurity threats to connected home devices
  • REGULATIONS: Evolving data privacy regulations across regions
  • CHIPS: Semiconductor supply chain vulnerabilities and shortages
  • EXPECTATIONS: Rapidly evolving consumer tech expectations

Key Priorities

  • PLATFORM: Develop unified smart home platform with seamless UX
  • SECURITY: Implement advanced security framework for IoT products
  • TALENT: Invest in AI/ML engineering talent and upskilling
  • INTEROPERABILITY: Adopt Matter protocol across product lines
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To power innovative home technology solutions by creating smart, connected devices that transform everyday living experiences worldwide.

UNIFY

Create seamless tech ecosystem across all products

  • PLATFORM: Develop and launch unified smart home platform architecture with 90% product compatibility by Q3
  • INTEGRATION: Implement Matter protocol across 75% of product line enabling multi-brand interoperability
  • API: Release comprehensive developer API with 25+ endpoints and supporting documentation
  • UX: Achieve 85%+ user satisfaction score on new unified control app experience
SECURE

Build trust through best-in-class security

  • FRAMEWORK: Deploy enhanced security-by-design framework across 100% of product development teams
  • CERTIFICATION: Obtain ISO 27001 certification for IoT device management systems
  • TESTING: Implement automated security testing achieving 95% code coverage across all products
  • RESPONSE: Establish security incident response team with <4 hour response time to vulnerabilities
INNOVATE

Lead through AI-powered experiences

  • TEAM: Recruit 15 AI/ML engineers and establish dedicated AI Center of Excellence
  • MODELS: Develop 5 proprietary AI models for appliance optimization and predictive maintenance
  • FEATURES: Launch 8 new AI-powered features with 40%+ user adoption within 90 days of release
  • EFFICIENCY: Achieve 25% energy consumption reduction through AI optimization in smart appliances
TRANSFORM

Modernize engineering culture and capabilities

  • TALENT: Reduce engineering attrition to <10% through implementation of career development program
  • PROCESS: Complete agile transformation across 100% of development teams with 30% cycle time reduction
  • TECH DEBT: Reduce legacy system maintenance from 38% to 25% of development resources
  • DEVOPS: Achieve 85% test automation coverage and implement CI/CD across all product lines
METRICS
  • Smart device connectivity rate: 75%
  • Engineering productivity: 30% YoY improvement
  • Security incident remediation: <48 hours
VALUES
  • Customer-Centric Innovation
  • Technological Excellence
  • Sustainability
  • Quality Without Compromise
  • Continuous Improvement
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Align the learnings

Hisense Engineering Retrospective

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To power innovative home technology solutions by creating smart, connected devices that transform everyday living experiences worldwide.

What Went Well

  • REVENUE: 12% YoY growth in smart appliance segment exceeding targets
  • ENGAGEMENT: 38% increase in smart app user engagement and retention
  • EFFICIENCY: Engineering productivity up 22% with DevOps implementation
  • QUALITY: 31% reduction in software defects through automated testing

Not So Well

  • FRAGMENTATION: Product ecosystem integration remains inconsistent
  • SECURITY: Three significant security vulnerabilities discovered in Q4
  • TECH DEBT: Legacy system maintenance consuming 38% of dev resources
  • TALENT: 23% attrition rate in senior engineering roles during FY2024

Learnings

  • PLATFORM: Unified tech platform is critical for ecosystem success
  • SECURITY: Security must be prioritized throughout development cycle
  • TALENT: Competitive compensation alone isn't solving retention issues
  • AGILITY: Current development processes too slow for market demands

Action Items

  • PLATFORM: Establish cross-functional team to build unified platform
  • SECURITY: Implement company-wide security-by-design framework ASAP
  • TALENT: Launch engineering excellence program with career pathways
  • PROCESS: Adopt agile methodologies across all engineering teams
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To power innovative home technology solutions by creating smart, connected devices that transform everyday living experiences worldwide.

Strengths

  • VISION: Clear commitment to AI integration in product roadmap
  • DATA: Large dataset from millions of connected devices globally
  • HARDWARE: Strong hardware capabilities to support AI integration
  • INVESTMENT: Dedicated AI R&D budget increased by 35% since 2023
  • PARTNERSHIPS: Existing collaborations with AI technology leaders

Weaknesses

  • TALENT: Limited specialized AI/ML engineering expertise in-house
  • ARCHITECTURE: Current system architecture not optimized for AI
  • GOVERNANCE: Immature AI data governance and ethics framework
  • FRAGMENTATION: Disparate AI initiatives across business units
  • ALGORITHMS: Reliance on third-party AI algorithms and models

Opportunities

  • PERSONALIZATION: AI-driven personalized experiences for users
  • EFFICIENCY: AI to optimize product energy consumption by 30%+
  • VOICE: Advanced voice recognition for hands-free home control
  • PREDICTIVE: Predictive maintenance to reduce service calls by 40%
  • ANALYTICS: Deep customer insights from appliance usage patterns

Threats

  • COMPETITION: Tech giants with superior AI capabilities and data
  • PRIVACY: Consumer concerns about AI and data collection
  • REGULATION: Emerging AI regulations restricting implementation
  • COMPLEXITY: Increasing complexity of AI integration in products
  • EXPECTATIONS: Rapidly evolving consumer AI expectations

Key Priorities

  • TALENT: Build dedicated AI engineering team through hiring/training
  • PLATFORM: Develop unified AI platform for cross-product integration
  • GOVERNANCE: Establish robust AI ethics and data governance model
  • PARTNERSHIPS: Strategic AI tech partnerships to accelerate roadmap