2022年科技趋势报告（英）-128页_13mb

TechTrends2022 Summary

Core Content

The TechTrends2022 report highlights the transformative role of technology in shaping the future of business and IT operations. It emphasizes the importance of automation, data-sharing, cloud computing, blockchain, and AI in enabling organizations to innovate, improve efficiency, and adapt to the evolving digital landscape. The report also underscores the need for privacy-preserving technologies and the strategic shift towards vertical-specific solutions in the context of a post-pandemic world.

Main Trends and Key Insights

1. Data-Sharing Made Easy

• New technologies are simplifying data sharing across organizations while preserving privacy.
• Cloud-based marketplaces allow secure buying and selling of data, using tools like fully homomorphic encryption (FHE) and differential privacy.
• Data monetization is becoming a key strategy as companies pool and analyze shared data to drive innovation and competitive advantage.
• Examples:
  • Pharmaceutical companies used data-sharing platforms to accelerate vaccine development.
  • Financial institutions shared data to improve credit risk scoring.
  • Real-time data sharing enabled faster client reporting and decision-making.

2. Cloud Goes Vertical

• The center of gravity in digital transformation is shifting from generic IT needs to sector-specific solutions.
• Hyperscalers and SaaS vendors are offering modular, vertical-specific services that help organizations adopt and customize solutions.
• This trend is reordering the value stack, allowing companies to focus on strategic differentiation rather than infrastructure development.
• Implications:
  • IT departments can offload routine tasks to cloud services.
  • Cloud-based automation supports more efficient and scalable operations.

3. Blockchain: Ready for Business

• Blockchain and distributed ledger technologies (DLTs) are moving beyond hype to real-world applications.
• They are enabling secure and transparent management of identity, data, brand, and intellectual property.
• Adoption is expanding to sectors beyond finance, including healthcare, manufacturing, and supply chain.
• Key use cases:
  • Streamlining data transactions and reducing manual processes.
  • Enhancing trust and transparency in data exchanges.
  • Supporting new business models and value streams.

4. IT, Disrupt Thyself: Automating at Scale

• CIOs are reengineering their IT organizations by automating repetitive processes.
• Cloud provider strategies are being adopted to improve system stability, availability, and performance.
• Automation and self-service reduce manual effort and enable faster value delivery.
• Technologies involved: NoOps, Zero Trust, and DevSecOps.
• Benefits:
  • Streamlined timelines.
  • More effective and stable IT operations.
  • Improved customer experience through better availability and resilience.

5. Cyber AI: Real Defense

• As cyber threats grow in complexity and volume, AI is becoming a critical tool in cybersecurity.
• Cyber AI allows organizations to respond faster than attackers and anticipate threats.
• It supports proactive security measures and threat detection.
• Applications:
  • Accelerating data analysis.
  • Identifying anomalies and threats.
  • Enhancing human analyst focus on prevention and remediation.
• Future potential: AI can also help protect AI resources and combat AI-powered attacks.

6. The Tech Stack Goes Physical

• Smart devices and automated systems are expanding the scope of IT beyond traditional digital assets.
• CIOs must now manage physical assets such as smart factory equipment, drones, and health monitors.
• These systems require high uptime and resilience, as outages can have life-threatening consequences.
• Challenges:
  • Managing new standards and regulations.
  • Addressing liability and ethics concerns.
  • Reskilling the workforce to handle physical tech stack management.

Field Notes from the Future

• The report concludes with a forward-looking chapter on quantum computing, exponential intelligence, and ambient experience.
• These technologies are expected to dominate the digital landscape in the coming decades.
• Quantum computing will revolutionize data processing.
• Exponential intelligence refers to the rapid evolution of AI and machine learning.
• Ambient experience involves creating seamless, real-time interactions across digital and physical environments.

Conclusion

• The future is human, and technology is the enabler.
• Automation is the key to enhancing baseline operations and empowering employees.
• Privacy-preserving computing is unlocking new data-sharing opportunities.
• Collaboration across competitors and partners is becoming more common, driven by shared goals and mutual benefits.
• Digital transformation is not just about technology—it's about rethinking business models and strategies in a rapidly evolving world.

Key Challenges and Opportunities

• Privacy challenges: Organizations must balance data sharing with regulatory compliance.
• Security risks: As data flows increase, protecting data in motion and AI resources becomes critical.
• Talent shortages: IT departments face staffing challenges, requiring outsourcing and reskilling.
• Market growth: The FHE market is expected to grow at 7.5% annually, reaching $437 million by 2028.
• Data governance: While new tools are emerging, strong governance and data culture changes are still necessary.

Authors

• Scott Buchholz: Emerging technology research director and Government & Public Services chief technology officer at Deloitte Consulting LLP.
• Mike Bechtel: Chief futurist at Deloitte Consulting LLP.
• Bill Briggs: Global chief technology officer at Deloitte Consulting LLP.