While some have coined the term “new-collar” jobs, I feel that the term misses the mark and has neither been understood nor applied. These jobs are perfect for associate’s degree graduates. High-level AI jobs, like a machine learning engineer, may require a master’s degree or higher, but many others do not - and that’s where we need the majority of new hires. They are implemented in a wide variety of business applications, such as cloud computing, cybersecurity, finance, supply chain management and call centers. What skills do we truly need to power artificial intelligence, machine learning and data science? What do all these terms really mean?ĪI is made up of a matrix of overlapping methods and areas of practice, including natural language processing, machine learning, UI/UX and data engineering. The Opportunities For Colleges And UniversitiesĪ big part of the talent shortage is the confusion around which competencies companies are looking for and how they will be utilized. Companies will always need some with master’s and PhDs, but to scale and compete, we will need legions in the blue-collar AI workforce. We need an army of AI workers, and many of the more common ranks should be educated in novel, well-focused specialties via two-year and four-year programs. It makes simple sense to invest more strategically in scaling national educational programs that develop and curate domestic workforces for many echelons of education, experience and skill. I value diversity within organizations, but I also work in government spaces where a lack of technically skilled citizens able to obtain proper security clearances poses an enormous long-term problem to both our national security and national prosperity.
0 kommentar(er)
