Rishika Shahi
In a recent statement, Dr. Dishan Kamdar, Vice-Chancellor of FLAME University, underscored the critical need for students to develop skills in artificial intelligence (AI) to thrive in an increasingly automated job market. As advancements in generative AI continue to reshape industries, Kamdar believes that being proficient in AI will become essential for students across all disciplines.
The Rise of Generative AI
Dr. Kamdar pointed out that generative AI is not just a passing trend but a fundamental shift in how work is conducted across various sectors. “Gen AI is here to stay,” he stated, emphasizing its potential to revolutionize tasks ranging from creative content generation to data analysis. He urged students to embrace these technologies as tools that can enhance their capabilities rather than viewing them as threats.
At FLAME University, the curriculum is designed to integrate AI education across disciplines, ensuring that students from arts, humanities, and commerce backgrounds can leverage AI tools effectively. “Students should be skilled in AI to stay ahead,” Kamdar noted, highlighting the university’s commitment to providing a liberal education that prepares graduates for the complexities of modern workplaces.
Practical Applications: Kamdar mentioned that students studying literature could explore natural language processing (NLP) applications, while those in commerce could benefit from understanding AI-driven analytics for better decision-making.
Preparing for a Changing Job Landscape
The Vice-Chancellor’s remarks come amid growing concerns about job displacement due to automation. A recent report indicated that AI could automate a significant portion of jobs across various industries. In response, Kamdar advocates for a proactive approach where students equip themselves with relevant skills that align with future job demands.
Dr. Kamdar also emphasized the importance of lifelong learning in adapting to technological advancements. “As the landscape evolves, so must our skill sets,” he stated, encouraging students to remain curious and open to continuous education in emerging fields like AI and machine learning.
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