Intelligent CIO Middle East Issue 40 - Page 81

GET TO KNOW... On the lighter side of things, we ask the industry experts what makes them tick. . . . Gautam Kumar, COO and Co-Founder, FarEye What would you describe as your most memorable achievement? After completing graduation, we made a product called Suraksha. Suraksha was meant to make the usage of gas cylinders more secure. In case of a leakage, it would automatically trigger alerts, intimating people around about the situation. This product got significant recognition from the government and investors. I consider this as a memorable achievement as the solution had a direct impact on saving the lives of people. What first made you think of a career in technology? Since childhood, I had a natural inclination towards experimenting with technologies. It started with batteries and switches back then and evolved into a love for wider technologies in college. This interest also led me to be named as the social innovator of the year by Massachusetts Institute of Technology in 2011. After graduation, a career in technology was a natural progression for me. It always fascinated me how the most complex everyday problems could be resolved using technology. What style of management philosophy do you employ with your current position? I believe in flat hierarchy. And it’s very important to treat everyone, all my colleagues, equally. By doing so, one can easily motivate people to speak their heart out and come up with new and innovative ideas. Traditional employee–employer relationships have inherent limitations with regards to encouraging out-of-the- box thinking. Also, from a business perspective, a flat hierarchy removes excess layers of management and improves the co- ordination and speed of communication between employees. Fewer levels of management encourage an easier decision-making process among employees. And more importantly, it saves a lot of productive time. What do you think is the current hot technology talking point? I am extremely excited about Machine Learning (ML) and predictive intelligence. By analysing historical data ML enabled “ IT ALWAYS FASCINATED ME HOW THE MOST COMPLEX EVERYDAY PROBLEMS COULD BE RESOLVED USING TECHNOLOGY. INTELLIGENTCIO 81