Pradeep Gulipalli spoke to The Hindu Business Line on how we are developing intelligent AI powered systems for our clients.
Ask Pradeep Gulipalli, co-founder and Chief Delivery Officer of analytics firm Tiger Analytics, to give an example of the kind of work they do and he recalls one of the earliest projects they took up. It was in the railway industry, where, he says, one of the biggest expenses for a railway company is the wheels, which have to be replaced nearly every three years due to wear and tear. The dilemma for railway companies is to when exactly replace the wheels. If they replace them too early, they have replaced good wheels. But if they delay the replacement, there is the risk of accidents.
Overseas, governments have mandated that sensors be fitted at various points on the track. These sensors send out signals when a train passes over. Based on the signal, it is possible, says Pradeep, to find out whether the wheel has gone bad or is still in good shape. One of the problems, he adds, that their customer was facing was that sometimes the sensors would become defective and send out incorrect signals. The question was to know when the wheels was defective and when the sensor was malfunctioning, he says.
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