Former ISRO Chairman Somanath Explains How ISRO Converts Unprocessed Scientific Data Into Useful Intelligence

In a recent speech, former ISRO Chairman S. Somanath emphasised the organization’s function in converting unprocessed scientific data into useful intelligence.

He underlined that tight integration between research, technology, and applications is ensured by ISRO’s in-house software development process. With this strategy, ISRO is able to preserve the scientific rigour, accuracy, and security of its software systems—all of which are essential for mission simulations, data analysis, and satellite operations.

ISRO has created sophisticated software systems for a range of uses, such as platforms for disaster management, climate monitoring tools, and geographic data portals. By offering practical insights derived from unprocessed scientific data, these platforms benefit governments, researchers, and the general public.

The company’s emphasis on internal development demonstrates its dedication to preserving control over vital software systems, which is necessary to guarantee the accuracy and

ISRO’s efforts to convert unprocessed data into useful intelligence are a component of a larger change in the organization’s mission focus. As the demands and prospects in the space industry change, the organisation is transitioning from missions with an environmental focus to systems that are operated for profit. In order to improve data processing and analysis skills, this progression entails utilising cutting-edge technology like artificial intelligence and machine learning.

Apart from its primary space missions, ISRO is also engaged in a variety of AI and machine learning applications, including object tracking, urban spatial growth modelling, and forestry and ecology based on remote sensing. These initiatives show ISRO’s dedication to using technology for the advancement of the country and strengthening its capacity for data-driven decision-making.

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