Wednesday, May 31Welcome

Computing Leader Releases IEEE Computer Society 2022 Technology Prediction Scorecard

Los Alamitos, Calif., December 8, 2022 – The IEEE Computer Society (IEEE CS), known for reporting on the top technology trends in computing, today announced the official 2022 Tech Prediction ScorecardThe 2022 Forecast Scorecard shows the level of performance and impact achieved with current trending technology for forecasts made in January 2022.

The 2023 IEEE CS Technology Forecast will be published in January 2023. – Register now for free exclusive access:

The IEEE CS team rated the overall prediction of technological progress with a score of B/C and the impact on humanity with a B-.

The highest success came from predicting the convergence of HPC, AI, and data analytics (Technology Advancement: B+; Impact: B-). data-centric AI (B+; B+); telemedicine (B+; A-); and digital twins in manufacturing (B; B).

  • Fusion of HPC, AI and data analytics was driven by all three technologies, driven equally by government, industry, and academia.
  • Data-Centric AI It succeeded because of the importance of data for training AI models.
  • telemedicine It was prevalent during COVID and expanded its importance in the post-COVID days.
  • digital twin has made the biggest breakthrough in manufacturing to maximize the benefits of digital twins in constrained environments.

“On average, we ranked the predicted impact of technology on humanity at a B-, and the overall confidence in all elements of the scorecard (success, impact, and maturity) at a B- as well. is very similar to the last few years and is probably down slightly, which is not surprising given that the past year has been very volatile due to COVID,” said the former IEEE CS said Dejan Milojicic, President (2014) and now Distinguished Technologist at Hewlett Packard Labs.

The team’s continued forecasting success was largely ruined by NFT (technical advancement D+, impact on D/E), followed by false information detection/correction (C), low-code/no-code (C+ ), and failure to predict commoditization followed. Space technology (C+).

In terms of maturity, we’ve added two classes for the first time: Unsuccessful and Broad Adoption. The commoditization of NFT and space technology was classified as a failure, while the convergence of HPC, AI, and data analytics was classified as broad adoption.

The following list compares the top 16 technology trends for 2022, ranked by ., Human Impact, Measured Technology Impact, Technology Maturity, Prediction Confidence>:

Top 16 Tech Trends success, Impact, Maturity, Confidence

Convergence of HPC, AI and HPDA:B+B-, broad adoption, B+ >

Data-Centric AI:B+B+, maturity, A/B >

Telemedicine:B+A-, emerging, B >

Digital twins in manufacturing:B. B, Mature, B+ >

Health, safety and wearable Biomed Tech:B. B+, Mature, B- >

Autonomous system safety:B-B+, maturity, B >

3D printing in healthcare:B.-, A/B, emerging, B/C >

[email protected]associative learning:B-B-, emerging, B>

Trusted AI:B-, A/B, Emerging, B+ >

Confidential Computing:B.C.B/C, incubation, B/C>

Metaverse:B.C.C+, Prototype, B>

Critical Infrastructure Cybersecurity:C+, A/B, emerging, B->

Commoditization of space technology:C+B/C, failure, B/C>

Low-code/no-code:C+C+, incubation, B/C>

Disinformation detection/correction:HaB/C, prototype, B->

Non-Fungible Token (NFT):D+D/E, Failure, B/C>

Following the process established from the previous year, the authors, who made their first predictions in January 2022, independently evaluated each prediction. Mean and standard deviation were used as the basis for the arguments leading to the final evaluation.

The IEEE CS team of key technical experts includes Rosa M. Badia from the Barcelona Supercomputing Center. Mary Baker, HP Inc.; Tom Coughlin, Coughlin Associates. Paolo Faraboschi, Hewlett Packard Enterprise VP and Fellow. Eitan Frachtenberg, data scientist at Hewlett Packard Labs. Vincent Kaabunga, AKEM Consulting; Waseda University Hironori Kasahara Kim Keaton, Google; Danny Lange, VP of AI at Unity Technologies; Professor Phil LaPlant of Pennsylvania State University. Professor Avi Mendelson, Technion, NTU Singapore. Cecilia Metra, Professor, University of Bologna, former IEEE CS President. Dejan Milojicic is a Hewlett Packard Enterprise Distinguished Technologist and former IEEE CS President. Nita Patel, L3 Technologies, IEEE CS President Elect. He is Roberto Saracco, chairman of IEEE-FDC’s Symbiotic Autonomous Systems Initiative. Michelle Tubb, IEEE CS Marketing and Sales Director. I’m Irene Pazos Viana, an IT consultant.

Note: Statements made in this report do not represent the opinion of the author’s employer.

Sign up to receive coveted benefits 2023 IEEE CS Tech Predictions Scheduled to be announced in January 2023.

About the IEEE Computer Society

Through conferences, publications, and programs, the IEEE Computer Society (IEEE CS) sets the standard for education and engagement that advances technological progress worldwide. By bringing together engineers, scientists, researchers, and practitioners from all fields of computing at all career phases, IEEE CS will enable new opportunities and empower not only its members, but the larger industry. . For more information, visit

Source: IEEE Computer Society

Source link

Leave a Reply

Your email address will not be published. Required fields are marked *