LOS ALAMITOS, Calif., January 13, 2022 – The IEEE Computer Society (IEEE CS) has released its annual technology forecast, addressing the lasting influence of the pandemic on technological advancements, as well as the introduction of new fundamentals and anticipated trends shaping the industry for 2022 and beyond.
“We have seen many accelerated technological advances due to the circumstances surrounding the continued impact of the pandemic,” said William D. Gropp, IEEE CS Chair. “With the IT Society’s Technology Predictions 2022, we share our insights into the future of computing research and technology and the impact these advancements will have on society.”
No one can say with 100% certainty what path the future of technology will take, but IEEE CS experts in the field offer helpful insights and predictions on some of the most influential possibilities. Highlights include:
- The top three tech trends expected to dominate in 2022 are data-centric AI, remote medicine, and biomedical health, security, and wearable technologies.
- Converging technologies are increasingly playing a crucial role in disrupting and becoming essential to our survival.
- Forecasting technologies help address the impacts and concerns of the pandemic; it goes far beyond a hypothetical exercise.
“The long-term impact of the pandemic has resulted in the rapid acceleration of digital transformation in industry, academia and privacy,” said Dejan Milojicic, Hewlett Packard Enterprise Distinguished Technologist and former President of the IEEE CS (2014). “Technology disruption has advanced at an unprecedented rate and has increasingly played a crucial role in a wide range of influences, becoming essential to survival.”
Technology Predictions 2022 provides a deep dive into each prediction with analysis of specific issues and current demands; opportunities for technology; the impact the technology will have on the audience, products, services and related technologies; and the durable solutions and business opportunities it could potentially inhibit and/or enable.
The top 16 technology trends expected to be embraced in 2022 are:
- Data-centric AI: There is an increased demand to make data available everywhere and an increased emphasis on data-centric machine learning.
- Remote medicine: Remote medicine will allow patients to get medical assistance remotely and doctors to perform procedures and consult with experts remotely.
- Health, Safety and Wearable Biomedical Technologies: These are small, wireless, self-contained, electronic devices that capture, analyze, and aggregate biofeedback or other sensory physiological functions related to health, wellness, and fitness and can be worn on the human body (or in the human body with versions such as microchips or smart tattoos.)
- Cybersecurity of Critical Infrastructure and Medical/Biological Supply Chains: This means securing digital vulnerabilities in our critical infrastructure, data and medical resources.
- Convergence of HPC/AI/HPDA delivered on heterogeneous, serverless hardware: Heterogeneity continues to emerge to overcome the end of Moore’s Law, and serverless continues the evolution of finer, higher-level abstraction of virtualization from bare metal to virtual machines to virtual machines. containers, and now functions as a service (FaaS).
- Cutting-edge AI: This trend involves distributed federated learning with cloud support; real use cases are available.
- Applications of additive manufacturing in healthcare: This includes 3D printing of parts and components for existing or new healthcare solutions, such as prostheses, personal protective equipment, custom surgical equipment, parts for patient sample collection, implants and safer ingestible devices.
- Security, Reliability and Resilience for Intelligent Autonomous Systems: Fueled by the pandemic, the substantial growth of autonomous systems (vehicles and robots) will further improve the reliability and safety of these autonomous systems.
- Digital twins in manufacturing and the industrial metaverse: The integration of IoT, 5G, AI and XR will create a mixed reality experience where simulation and reality overlap.
- Trustworthy AI: In addition to performance, AI/ML developers will begin to focus on explainable and reliable tools, code, and hardware.
- Detection and correction of misinformation: The critical importance of having accurate information will trigger techniques to determine misinformation in politics, business, and social media.
- Commercialization of space technology: More and more companies are sending technology into space and the barriers to entry are rapidly falling.
- Low-Code/No-Code Programming Techniques: The widespread adoption of computer systems in almost every aspect of our lives requires some degree of programming, but not everyone is skilled or even aware of programming languages and environments. Low-code/no-code allows novice users to meet their programming needs without being proficient in programming.
- Non-fungible tokens (NFT): Blockchain technology can be used for authentication and ownership of digital assets and potentially for a new kind of virtualization of ownership of physical objects.
- Next-generation remote presence (“metaverse”): Gradual advances in existing VR/AR technologies, as well as new technologies involving senses beyond the audiovisual, lead to better and better immersion.
- Confidential IT: It is secure, privacy-enhanced computing delivered through a hybrid cloud model.
Access the 2022 Technology Predictions
The IEEE CS team of leading technology experts includes Rosa M. Badia, Barcelona Supercomputing Center; Mary Baker, HP Inc.; Tom Coughlin, Coughlin Associates; Paolo Faraboschi, vice president and member of Hewlett Packard Enterprise; Eitan Frachtenberg, Data Scientist, Reed College; Vincent Kaabunga, AKEM Consulting; Hironori Kasahara, Waseda University; Kim Keeton, currently at Google; Danny Lange, vice president of AI at Unity Technologies; Phil Laplante, Professor, Penn State University; Andrea Matwyshyn, Professor and Assoc. Dean of Innovation, Penn State Law – University Park, and Professor, Penn State Engineering; Avi Mendelson, Professor, Technion and NTU Singapore; Cecilia Metra, Professor, University of Bologna and former President of IEEE CS; Dejan Milojicic, Distinguished Hewlett Packard Enterprise Technologist and former IEEE CS Chair; Nita Patel, L3 Technologies, IEEE CS President-elect; Roberto Saracco, Chair of the IEEE-FDC Symbiotic Autonomous Systems Initiative; Michelle Tubb, IEEE CS Marketing and Sales Manager; and Irene Pazos Viana, IT consultant.
The technical contributors to this document are available for interviews. Note: The statements expressed in this report do not represent the views of the employers of the authors.
At the end of 2022, the IEEE CS technical contributors to this report will review the accuracy of the 2022 predictions and determine how well they match reality. Check back in December 2022 for this year’s forecast dashboard.
Access the 2021 dashboard for scores and analysis of last year’s predictions.
About the IEEE Computing Society
The IEEE Computer Society is the global home for computing, engineering, and technology. A world leader in providing access to computer science research, analysis, and information, the IEEE Computer Society offers a full range of unparalleled products, services, and opportunities for individuals at every stage of their life. professional career. Recognized as the premier organization to empower the people who drive technology, the IEEE Computer Society offers unparalleled international conferences, peer-reviewed publications, a unique digital library, and educational programs. Visit www.computer.org for more information.
Source: IEEE Computing Society