Intel Is Training 150,000 Developers To Strengthen AI Ecosystem In India
Jyotis - Aug 13, 2019, 2:15 pm IST
With the Intel AI DevCamp event, Intel hopes that developers, scientists, engineers, and analysts will be able to make use of AI tools to develop the advanced technology in India.
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On August 09, Intel announced its plan to train over 150,000 students, professors, and developers from up to 150 Indian organizations for the recent two years. This move aims to strengthen the AI (Artificial Intelligence) ecosystem in this nation.
As the VP and Managing Director, Intel India’s Sales and Marketing Group, Prakash Mallya made a statement, “At Intel, we’re encouraged by the impact that AI is having, driven by our rich community of developers.”
He further said, “In addition to training 150,000 developers, students and professors, we have also trained 50 per cent of our employees across functions in India on the basic concepts of AI with the goal to have the majority of our employees trained by the end of the year.”
In addition, the California-based technology company organized the global AI developer event called the Intel AI DevCamp a few days ago. This event took place in Bengaluru.
The Vice President also asserted the importance of AI towards the enterprises, as well as the existing potentials of India. He said, “AI is swiftly becoming a reality for enterprises and has found applications across industries. With talent becoming a key driver of competitive advantage, India has an opportunity to tap into its existing pool of mathematicians, statisticians and programmers and nurture this talent to leverage their skills for analytics and AI.”
With the Intel AI DevCamp event, Intel hopes that developers, scientists, engineers, and analysts will be able to make use of AI tools to develop the advanced technology in India. Besides, the participants of this event include industry leaders.
In 2019, the Indian IT services company Wipro introduced Intel's AI-powered use cases including detecting anomalies in pipelines, identifying surface cracks in multi-storey buildings, diagnosis and image segmentation in the medical field, as well complicated structures and bridges.