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Computer Society Technology Predictions 2023 – II

A graphic representation of the 2023 Technology Predictions, placing each prediction on a map to highlight the expected success vs its impact to humanity. Image credit: Computer Society, IEEE

As described in the previous post, the team ended up in identifying 19 technology predictions that ordered in terms of likelihood of success are as follows:

  1. Remote Healthcare & Wearables: Remote healthcare with advanced wearables will enable patients to obtain remote medical assistance, physicians to perform procedures and consult with remote experts, and both to have access to vital health information.
  2. Augmented Reality: Seamless integration between the real world and cyberspace will increasingly materialize.
  3. Software for edge2cloud continuum: New software for the development and deployment of next-generation computing components, systems, and platforms that enable a transition to a compute continuum with strong capacities at the edge and far edge in an energy-efficient and trustworthy manner.
  4. Open Hardware: From open systems (OCP) to ISAs (RISC-V) and interconnects (CXL, UCIe) the open-source movement has expanded into hardware.
  5. AI-assisted DevOps: The traditional DevOps approach will be improved to address the increasing complexity of software systems.
  6. 3D Printing in Personalized Healthcare: 3D printing in healthcare will evolve toward customized additive manufacturing for individuals.
  7. Generative AI:In the next few years, generative AI will be used even more, increasing effectiveness and enabling new services. It is also bound to raise ethical and societal issues. Expect strong impact on business (short term), on education (long term) and on society (medium to long term).
  8. IT for Sustainability: Technology will evolve from sustainable IT to novel uses of IT for sustainability, clean energy, and a green economy.
  9. Autonomous Driving: Self-driving vehicles in controlled environments are starting to gain adoption at scale, backed by strong business cases.
  10. Digital Distributed Manufacturing: Digital Distributed Manufacturing will reduce the energy and environmental footprint and increase the resilience of supply chains.
  11. Trusted Computing: There will be increased public awareness and attention to trusted/assured computation across all industry sectors. Governments will increase focus on legislative actions to ensure that public facing systems can be trusted.
  12. Huge Graph Neural Networks: Applications that use huge models, such as chatGPT, have demonstrated a real impact on a substantial set of problems. Graph Neural Networks can represent complex, “real-world” structures. We predict that huge GNN models will widely be used in machine learning.
  13. Adaptive, Generative Pharmaceuticals: Advances in nanotechnology and AI could shorten the time to vaccine development and broaden their efficacy.
  14. Autonomous robots & Brain-machine I/F: Pervasive uptake of robotic platforms will take place, including as extensions of the human body.
  15. Artificial General Intelligence (AGI): Advances in AI will lead to AGI systems that can understand or learn any intellectual task that a human being can perform.
  16. Global Digitalization of Monetary Transactions: Digital transformation of monetary transactions will open new disruptive opportunities in global markets.
  17. Space ITC: As more companies send technology to space, the barriers to entry are decreasing rapidly.
  18. Sustainable Space Manufacturing: Space manufacturing and recycling technologies and services will improve sustainability, resilience and cost of the space ecosystem.
  19. Disinformation detection/correction: Improving the reliability of information in public health, politics, and science will improve public information required for sound decisions from personal to societal levels.

In my following posts I will address, giving you my perspective (it does not necessarily match with the one resulted by consensus vote).

About Roberto Saracco

Roberto Saracco fell in love with technology and its implications long time ago. His background is in math and computer science. Until April 2017 he led the EIT Digital Italian Node and then was head of the Industrial Doctoral School of EIT Digital up to September 2018. Previously, up to December 2011 he was the Director of the Telecom Italia Future Centre in Venice, looking at the interplay of technology evolution, economics and society. At the turn of the century he led a World Bank-Infodev project to stimulate entrepreneurship in Latin America. He is a senior member of IEEE where he leads the New Initiative Committee and co-chairs the Digital Reality Initiative. He is a member of the IEEE in 2050 Ad Hoc Committee. He teaches a Master course on Technology Forecasting and Market impact at the University of Trento. He has published over 100 papers in journals and magazines and 14 books.