The growing digitization of nearly every aspect of our world and lives has created immense opportunities for the productive application of machine learning and data science. Organizations and institutions across the board are feeling the need to innovate and reinvent themselves by using artificial intelligence and putting their data to good use. And according to several surveys, data science is among the fastest-growing in-demand skills in different sectors.
However, the growing demand for AI is hampered by the very low supply of data scientists and machine learning experts. Among the efforts to address this talent gap is the fast-evolving field of no-code AI, tools that make the creation and deployment of ML models accessible to organizations that don’t have enough highly skilled data scientists and machine learning engineers.
In an interview with TechTalks, Nenshad Bardoliwalla, chief product officer at DataRobot, discussed the challenges of meeting the needs of machine learning and data science in different sectors and how no-code platforms are helping democratize artificial intelligence.
“The reason the demand for AI is going up so significantly is because the amount of digital exhaust being generated by businesses and the number of ways they can creatively use that digital exhaust to solve real business problems is going up,” Bardoliwalla said.
At the same time, there are nowhere near enough expert data scientists in the world who have the ability to actually exploit that data.