![]() ![]() This left the talent acquisition team drowning in messages and applications. With keyword searches also generating pages and pages of results, job seekers often succumbed to the temptation to apply for every position returned. This became more of a problem as job seekers increasingly used mobile devices to conduct searches. In addition, without intelligence and context, the keyword matching technology could not determine job seeker search intentions from misspelled terms. We would post this on our jobs and careers website as 'MindSphere engineer.' Unfortunately, a job seeker using more general terms such as 'IoT engineer' may miss this advertisement." "For example, we may have an engineering position open for our MindSphere cloud-based IoT operating system. "We found the language we used about our jobs internally was often not the same language job seekers used," explains Morton. Save money with our transparent approach to pricing Rapid Assessment & Migration Program (RAMP) ![]() ![]() Migrate from PaaS: Cloud Foundry, OpenshiftĬOVID-19 Solutions for the Healthcare Industry ![]()
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