Tell us something about the genesis of retina360. How is it different from other analytics tools in the market already?
retina360 is an advanced Al platform, which leverages AI, ML and Deep Learning algorithms to provide a 360degree view of assets. Using retina's real-time augmented analytics capabilities, many asset-intensive companies are able to reduce O&M costs, streamline operations and improve efficiency.
We started off by developing multiple solutions for asset-intensive industries. Exposure to diverse industries helped us spot the white space in the renewable sector. We realised analytics could help the wind, solar, and thermal park owners predict maintenance and save downtimes and costs. And we invested time, effort and resources to build a predictive analytics solution exclusive to the renewable sector. Now retina360 is a comprehensive predictive intelligence platform which manages over 5 GW of energy assets across the globe.
Extensive domain knowledge is our unique differentiator; it helps us build features like power curve analysis and yaw misalignment detection, specific to the wind energy industry. You need a good knowledge of renewable and a thorough understanding of the pain points of power producers to remain successful in this niche domain. Today, we are one of the very few analytics solutions providers from India that caters to wind, solar and thermal energy producers in India and abroad.
What outcomes can asset-intensive enterprises and process industries tap here? Any specific examples or success stories you can cite?
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Esta historia es de la edición October 2021 de DataQuest.
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