Remote Workforce Technologies, HPC as a Service, and In-Memory Computing Led as Highest-Ranking Predictions
The IEEE Computer Society (IEEE CS) revealed the scorecard for its 2021 Technology Predictions, which measures the performance of trending technologies against the projections made in December 2020. The IEEE CS Technology Predictions for 2021 garnered a collective grade of B-.
The IEEE CS Technology Predictions for 2022 will be revealed in January – sign up for free exclusive access.
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“Last year was as unpredictable as 2020, and not surprisingly our predictions were graded the same as in the previous year, averaging a B- s****,” said Dejan Milojicic, former IEEE CS president (2014) and current Distinguished Technologist at Hewlett Packard Labs. “The advancement of technologies requiring a remote workforce due to the pandemic was certainly accelerated, while most other technologies were not accelerated as much. We look forward to finalizing the 2022 predictions and tracking the paths of the most rapidly moving developments in the year ahead.”
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Remote workforce technologies (graded A) were strongly driven by the need for work continuity; they were critical for many industries and professions in which physical presence was not required. HPC as a Service (graded B+) enabled remote access to high-performance resources critical in pandemic evaluations. In-memory computing (graded B) was deemed to have made progress in the last year.
In addition to measuring the success in prediction, this year the team tracked technology maturity, their confidence, and the impact the technologies have made, presented in the “Scorecard of the Predictions” graph. All values for these four categories were assigned by averaging their individual grading per each technology predicted last year from A to F. For maturity, they were motivated by the technology readiness level which was adjusted for that purpose. They mapped A-F respectively as mature, emerging, incubating, prototype, conceptual, and unsuccessful. In the graph, bubble color corresponds to maturity level, bubble diameter corresponds to impact, and success in prediction and our confidence are represented on Y and X axes respectively. If some predictions are ranked the same alphabetic grade, numerically they may differ which is reflected in their ranking order. This is presented in the rank-ordered list that follows the graph. The team will continue to experiment with scorecards in the next year including simplifying summary graphs, introducing trending, and eliminating perceived correlation across metrics.
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