gartner-2022年顶级战略技术趋势（英）-19页_164kb

Gartner® 2022 Top Strategic Technology Trends Summary

Core Content

Gartner has identified 12 strategic technology trends that are expected to shape the future of digital business in 2022. These trends are categorized into three main phases: Engineering Trust, sculpting change, and Accelerating Growth. Each trend addresses a key challenge or opportunity in digital transformation and emphasizes the need for IT leaders to align with business goals.

Main Trends and Key Points

Engineering Trust

These trends focus on building a secure and efficient IT foundation, essential for digital business success.

• Data Fabric

  • Integrates data across platforms and users, enabling efficient data utilization.
  • Uses metadata analytics to learn and recommend better data usage.
  • By 2024, will quadruple data utilization efficiency and cut human-driven tasks in half.
  • Example: Turku, Finland reduced time to market by two-thirds by integrating fragmented data.

• Cybersecurity Mesh

  • Provides a scalable, interoperable security framework based on identity.
  • Integrates security tools into a cooperative ecosystem.
  • By 2024, organizations will reduce the financial impact of security incidents by 90% on average.
  • Example: A tech organization improved threat intelligence by integrating multiple security feeds.

• Privacy-Enhancing Computation (PEC)

  • Enables data sharing while preserving privacy through encryption, splitting, or preprocessing.
  • By 2025, 60% of large organizations will use PEC in analytics or cloud computing.
  • Example: DeliverFund used homomorphic encryption to allow secure data queries.

• Cloud-Native Platforms

  • Focus on cloud elasticity and scalability, reducing infrastructure dependencies.
  • By 2025, will serve as the foundation for over 95% of new digital initiatives.
  • Example: An Indian bank reduced account opening time to 6 minutes using a cloud-native platform.

Sculpting Change

These trends enable organizations to scale digitalization efforts by fostering collaboration between IT and business teams.

• Composable Applications

  • Built from packaged business capabilities (PBCs) or software-defined business objects.
  • Allows fusion teams to rapidly create applications with low-code environments.
  • By 2024, the design mantra for new applications will be "composable API-first or API-only."
  • Example: Ally Bank saved over 200,000 hours by using PBCs in low-code environments.

• Decision Intelligence

  • Models decisions through a framework to improve decision-making speed and quality.
  • Integrates data, analytics, and AI to support, augment, and automate decisions.
  • By 2023, over a third of large organizations will have analysts practicing decision intelligence.
  • Example: Product-centric organizations use decision intelligence to analyze competitor strategies.

• Hyperautomation

  • A business-driven approach to automate as many processes as possible using tools like RPA, low-code platforms, and process mining.
  • By 2024, diffuse hyperautomation spending will increase total cost of ownership 40-fold.
  • Example: A global oil and gas company has 14 concurrent hyperautomation initiatives.

• AI Engineering

  • Focuses on operationalizing AI models with integrated pipelines and strong governance.
  • By 2025, the top 10% of enterprises using AI engineering best practices will generate three times more value.
  • Example: Unity Health Hospital builds trust in AI results through transparency and reliability.

Accelerating Growth

These trends aim to maximize the value of digital initiatives and drive innovation.

• Distributed Enterprise

  • A virtual-first, remote-first architectural approach to digitize consumer and employee touchpoints.
  • By 2023, 75% of organizations leveraging distributed enterprise will grow revenue 25% faster.
  • Example: Armoire's digital dressing room and Merrill Lynch's geolocation-based advisor search.

• Total Experience

  • Unifies customer, user, employee, and multiexperience to create a holistic stakeholder experience.
  • By 2026, 60% of large enterprises will use total experience to achieve world-class customer and employee advocacy.
  • Example: Fidelity Spire uses AI and analytics to proactively respond to client behavior and improve staff training.

• Autonomic Systems

  • Self-managing systems that dynamically modify algorithms without software updates.
  • By 2024, 20% of organizations selling autonomic systems will require customers to waive indemnity for learned behavior.
  • Example: Ericsson uses reinforcement learning and digital twins to optimize 5G networks.

• Generative AI

  • Creates new, original artifacts based on training data, enabling rapid innovation.
  • By 2025, will account for 10% of all data produced, up from less than 1% today.
  • Example: UK Financial Conduct Authority uses generative AI to create synthetic payment data for fraud modeling.

Key Takeaways

• Trust and security are foundational to digital business, supported by Data Fabric, Cybersecurity Mesh, PEC, and Cloud-Native Platforms.
• Collaboration between IT and business teams (fusion teams) is critical for rapid innovation and digitalization.
• Automation and AI are key enablers for improving decision-making, reducing costs, and accelerating growth.
• Future-proofing requires embracing composable architecture, decision intelligence, and autonomic systems to manage complexity and scale efficiently.
• Generative AI is poised to become a major driver of innovation and personalization in enterprise environments.

How to Get Started

• Data Fabric: Identify priority areas using metadata analytics and prioritize areas with significant data drift.
• Cybersecurity Mesh: Prioritize composability and interoperability when selecting security solutions.
• Privacy-Enhancing Computation: Investigate key use cases and invest in applicable PEC techniques.
• Cloud-Native Platforms: Minimize lift-and-shift migrations and adopt modern application architecture.
• Composable Applications: Champion composable principles and purchase standard PBCs from marketplaces.
• Decision Intelligence: Apply in areas requiring data-driven or AI-augmented decision-making.
• Hyperautomation: Map and prioritize initiatives holistically to ensure coordinated outcomes.
• AI Engineering: Implement best practices from DataOps, ModelOps, and DevOps to maintain production AI value.
• Distributed Enterprise: Pivot to "virtual first, remote first" architecture and support fusion teams in developing customer-facing technologies.
• Total Experience: Encourage cross-functional collaboration and ensure all leaders are responsible for stakeholder experience.
• Autonomic Systems: Pilot technologies in complex environments to gain agility and performance benefits.
• Generative AI: Select proven use cases to accelerate content and R&D efforts, and increase personalization.