Automating Sales using Math-Based Dida Machine Learning

Enpal required a more effective method of producing bids for potential solar panel buyers in order to maintain this growth

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One salesperson needed 120 minutes to do the entire procedure, which made it challenging to scale as the company expanded

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Enpal came to us because they realised they needed Their blend of mathematical problem solving and AI experience

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They could easily scale Their utilisation up or down with Compute Engine, so They were only charged for the compute power They actually used

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TensorBoard allowed us to keep an eye on each individual training session while They refined Their model

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They attained an IoU of 93% during model training, optimisation, and post-processing

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Using the help of Their solution and the effectiveness of constructing it using Google Cloud

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They measured the accuracy of rooftop detection using a performance metric known as Intersection over Union For more details govindhtech.com

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