2021 年技术趋势
AI智能总结Tech Trends 2021
Resilience: Adapting and Thriving in Turbulent Times
Key Themes:
- Corporate and Technology Strategy Alignment: Companies are increasingly integrating their corporate and technology strategies.
- Core Revival: Legacy enterprise systems are being modernized and migrated to the cloud to unlock digital potential.
- Data and Artificial Intelligence (AI): Leading organizations are industrializing AI with "MLOps" to manage data for machine consumption.
- Cybersecurity: Emphasis on zero-trust models and continuous verification.
- Future of Work: Digital workplaces are becoming more flexible and hybrid.
- Diversity, Equity, and Inclusion (DEI): Technologies supporting DEI initiatives.
Key Technologies:
- MLOps: Streamlining AI initiatives for better data management.
- Hyper-Hybrid Clouds: Flexible cloud environments that support diverse workloads.
- Blockchain: Expanding applications beyond cryptocurrencies.
- Geospatial Visualization: Enhancing spatial data analysis.
- Amplified Intelligence: Leveraging advanced AI for decision-making.
- Digital Twins: Creating virtual replicas of physical assets.
- Machine Data Revolution: Feeding machines with data for improved operations.
- Zero Trust Security: Ensuring secure access without relying solely on network boundaries.
- Cloud Orchestration: Managing cloud resources efficiently.
- Blockchain Evolution: From blockchain to blockchains, expanding use cases.
Emerging Trends:
- Rebooting the Digital Workplace: Moving towards hyper-flexible, hybrid work environments.
- Bespoke for Billions: Integrating digital and physical worlds.
- Machine Learning Operations (MLOps): Industrializing AI for better data management.
- Zero Trust Models: Continuous verification and validation.
- Digital Identities: Secure authentication and identity management.
- Digital Engagement: Enhanced user engagement through intelligent interfaces.
- Industrial Crowdsourcing: Leveraging crowds for innovation and problem-solving.
- Real-Time DevOps: Agile development and deployment processes.
Case Studies:
- Albemarle, Sogrape, GM Financial, Cargill: Transforming legacy systems to the cloud.
- National Oceanic and Atmospheric Administration, Morgan Stanley, Anthem, AWS: Industrializing AI with MLOps.
- Pactiv Evergreen, Wichita State University, Halliburton, Palo Alto Networks: Implementing zero-trust security models.
- Thomson Reuters, Lloyd's of London, JLL, PayPal: Rebooting digital workplaces.
- Gensler, Deloitte US: Customizing digital solutions for diverse audiences.
Conclusion: The future is marked by resilience and adaptability. Companies are leveraging advanced technologies to transform their strategies, enhance operational efficiency, and foster inclusive environments. Strategic technology platforms equipped with AI and automation are becoming essential tools for corporate strategists. As organizations continue to navigate uncertainty, they are prioritizing continuous transformation and dynamic decision-making processes.
