| |December 20179CIOReviewFor the equipment manufacturers, availability of real time data from various sites can help them to work quickly on improvements and innovationcars we drive today, not only are automated with smart technology to simply decipher efficient usage, but also provide critical analysis around maintenance scheduling. As a customer, we all have seen lot of value in that and feel more satisfied with the value we get for our money.Similarly, I see great need of digitalization in the con-struction industry too. The sector has not been using the power of the IT intervention as much as the other industries are. Being a resource intensive industry, there is a huge scope for all players in the periphery to drive big levels of resource efficiency through these mediums. The infrastructure developers deal with a lot of assets (heavy) and these are sourced from various technology manufacturers, like earth moving, crushing, drilling, batching plants,etc which may or may not have some amount of digital advancements to their equipment. The key challenge in most of these projects is the up-time of all the assets. A slight deterioration from the standard functioning of one asset can mean quite a set-back for the operations and the implications are humon-gous in terms of costs and delivery schedules. The key here is to make the machines more intelligent and our operations smarter. For instance, if machines are equipped with intel-ligent sensors and automation, then they could talk to each other. Higher automation means that it is possible to have remote diagnostics of machines, predictive analy-sis of performance and have real time data on operations, performance and cost. All this would mean high level of efficiency for various stakeholders be it manufacturers, buyers or users of machines.For the equipment manufacturers availability of real time data from various sites can help them to work quickly on improvements and innovation. They can do more efficient planning on parts and service, focus on preventive maintenance than being reactive and improve customer satisfaction.For the machines users, it means issues related to maintenance and parts supply could be solved quickly as it will be possible to predict the life of different parts of machine and stock them. It will help in avoiding breakdowns and spikes in cost and finish the projects on time or ahead of time. It also leads to efficient deci-sion making for even the most logistically challenging sites. The automation of these systems also brings preci-sion and consistency in operations and leads to stable product quality.The buyers can get more info in real time, such as, what is the total installed base, performance of different assets and life cycle cost analysis, etc. The access to more meaningful data would help them make the right deci-sions ahead of time. All this means efficient utilization of our assets and elimination of wastages. It would help in cutting down the project delivery period as breakdown of machines will be reduced and availability will go up. The benefits of early completion are exponential for the Industry as well as country. However, the overall steps taken till date in terms of digitalization in this sector are still very nascent and there is a great opportunity for improvements and innovations We need more intelligent machines that work for us, and, also speak back to us. Kamal Pahuja
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