DATA SCIENCE IN DEFENCE AND INTELLIGENCE INDUSTRY

devi priya
3 min readMay 9, 2019

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It would be wrong to assume the loyalty of data science lies only with the business houses who yield tangible products. Digital phenomenon has engulfed the world like wildfire, thereby, marking its spot in every single sector. Big data in the defense organizations of each country play a critical role in the development of the security forces and strengthening their fortitude. Be it a monetary power or a third world country, defense industry presumably takes up 60% of their budget if not more. When countries are pushing boundaries to secure themselves with new-age weapons, it is wise to invest in virtual security as well. That is where data science comes to play.

Scope of data science in military organizations:

The stark contrast between the past and the present scenario of the armed forces comes with the development in traditional forms of security. Today, a greater emphasis is entrusted upon the interpretation of information and analysis of data received from satellite or internet.

Although the military organizations in some of the South East Asian countries lack efficient data scientists to carry out their jobs, the need of the hour has been realized and extensive discussions are now carried on.

Overseas operations generate a tremendous amount of data which demands an immediate attention to the requirement of data scientists. They not only perform surveillance, space-border-marine management, but also look after disaster management, finance, past-data analysis and logistics. The average salary for such a post can scale up to $200,000.

Data scientists, by performing their respective functions have a scope in assisting the defense industry to form a formidable front. They mitigate the risks of failure and casualties, predict various possibilities of threats — particularly terror attacks — and provide valuable insights, reduce intrusions by the borders and thereby, crime rates.

Lessons to be remembered:

The enormity of data recovered by the defense sector can lead into a complex case of data sensitivity thus rendering the respective field as more of a follower than an adopter. However, it is beneficial to the defense organizations, as they can learn from the pitfalls of the private firms who have unknowingly tried to harness the value of their data.

Firstly, it is important to note that the industry should generate the amount of data they can glean meaningful value from. A clear understanding of the rising complexity of the data can help in reviewing and investing in the existing ones. The outputs can be successfully monitored in such an instance.

Defense sectors, secondly, should recognize that the open data is accessible to almost everyone. The global community of data science is more engaged due to open data.

Data scientist in defense industry:

The challenges faced by the defense data, scientists are nowhere near to their fellow counterparts in a city. Unlike interpretation obstacles and data collection interventions, the ones in the defense sector encounter network jamming, spoofs and deceptions daily. These data scientists received extensive training, even more rigorous than the ones in the civil society. As their job role, they’re are expected to be alert for countering terrorist attacks by tapping into the data received from mobile networks, public records, and security cameras. Thus, they carry the load of ensuring national security and improving their accessibility to sources to track down the adversaries.

Resource box:

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devi priya

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