Intel, Georgia Tech, and MIT code similarity project could address tech shortages
The machine inferred code similarity system has recorded scores that are at times 40 times more accurate than other existing systems, according to Intel.
Image: Intel
In the era of digital transformation, more companies are looking to leverage automation to streamline their business models and enhance efficiencies. At the same time, many companies are struggling to onboard the talent to fulfill their operational objectives. The tech talent shortage has been widely discussed over the past few years.
In 2017, it was estimated that there would be as many as 1 million developer positions left unfilled by 2020, according to
Gartner
. At the time, more than 80% of representatives on the TechRepublic CIO Jury reported difficulties finding necessary tech talent at their organizations. The coronavirus pandemic has even highlighted the risks associated with scant programmer talent; namely COBOL programmers to assist with older mainframe systems.
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