CrowdFlower Announces AI Education Series to Help Solve Artificial Intelligence Skills Shortage
SAN FRANCISCO: CrowdFlower, the essential human-in-the-loop Artificial Intelligence platform for data science and machine learning teams, today announced a series of AI workshops created to help computer engineers learn the basics of machine learning platforms and build AI models for real world applications.The move by CrowdFlower addresses the growing shortage of AI skills and expertise by offering day-long hands-on training focused on areas such as deep learning, computer vision, transfer learning, and data annotation.
With interest in AI exploding across all segments of business, one of the biggest inhibiting factors to adoption is the shortage of qualified data scientists and engineers. According to a survey by IBM conducted in early 2017, the annual demand for the roles of data scientist, data developers, and data engineers will reach nearly 700,000 openings by 2020. In addition, the number of jobs for all US data professionals will increase by 364,000 openings to 2,720,000 by 2020 according to IBM. In fact, CrowdFlower's 3rd annual 2017 Data Science survey found that 75% of the respondents say they get calls for a new job several times a month.
"The potential for AI to change the way business works is limitless. But what will stall adoption is the lack of skilled engineers that understand how to put machine learning platforms to use," said Robert Munro, VP of Machine Learning at CrowdFlower. "Many really smart computer engineers graduated long before AI started to hit the mainstream. Our workshops are designed to help jumpstart their understanding of what AI can and should be used for in businesses everywhere."