Data in the military: How analytics is transforming modern defence

Why data matters in modern warfare

As news of armed conflict around the world continues to permeate our everyday lives, one can’t help but draw awareness to the digital transformation of modern military operations.

It’s evident that these days, wars are not only won in physical combat, but also with the help of data and AI. With real-time insights and analytics, global forces are increasingly able to make data-driven decisions in fast-evolving conflict zones, ultimately enabling more precise action and limiting the number of casualties.

The use of data in the military is certainly not going anywhere, which also means that opportunities in the field are growing for data professionals. Whether you’re an aspiring data scientist or are already working in the tech field, keep on reading as we discuss how knowledge in areas like cybersecurity and web development can play a crucial role in both national and international defence.

Key applications of data in the military

There are many ways in which data is transforming modern warfare and defence. Here are just a few:

• Predictive maintenance: One practical application of predictive analytics in defence is in the maintenance of equipment. Whether it’s weapons, aircraft or vehicles, analytics can help reduce operational downtime by predicting when repairs will be needed.

• Cybersecurity and threat detection: The digital frontier is just as important as the battlefield on the ground, which is why AI in national security is another key way of leveraging data. With real-time monitoring and threat modelling, military forces can both reduce and respond to cyber threats and breaches.

• Geospatial intelligence (GEOINT): Geospatial intelligence can be used to get a better idea of environmental and physical conditions. By combining satellite data with topographic mapping, GEOINT enables us to visualize terrain, which in turn informs strategy and missions.

• Personnel management: In the military, boots on the ground are a crucial resource. With military data analytics, troops can analyze existing data like health, performance, and behavioural records to optimize such things as training, recruiting and deploying soldiers.

• Supply chain & logistics: Logistical prowess in operations often equates to mission success. For this reason, the military utilizes AI and predictive analytics to further boost supply chain efficiency. With demand forecasting, forces can remain agile and properly manage supplies like medical kits and ammunition.

• Mission planning and simulation: With the help of data modelling and AI, military forces can create better-informed strategies through evaluating potential risks and simulating different outcomes.

AI and big data in defence strategy

Defence and big data are practically inseparable in the context of modern-day warfare, and all of the examples above demonstrate exactly that.

Data is revolutionizing and improving the way that the world handles conflict; however, with so much information to sort through, there also comes the inevitable challenge of processing it all in real-time.

This is where big data comes in: with massive amounts of information available from sensors, drones and surveillance systems, big data platforms allow the military to process and analyze data in real-time. In turn, big data allows for swift, tactical decisions to be made.

AI and machine learning take this one step further: by leveraging analytics and ML models, the military can use pattern recognition to enhance surveillance, predict outcomes and automate manual tasks using autonomous systems.

However, there are also ethical implications to take into account as the presence of big data and AI continues to grow. The objectivity of algorithmic decision-making often comes into question, which is where the importance of data governance in defence AI systems arises.

The human side: Data careers in the military

With so many applications of data in defence, it’s no wonder that careers in military data science are on the rise. By uniquely combining service with technical skill, jobs in the military offer a unique way for data scientists to make an impact.

Some roles for data professionals include:

• Data Analyst: Transforms raw data into meaningful insights.
  
• Intelligence Analyst: Synthesizes data from intelligence sources.
  
• Data Engineer: Builds and maintains systems that collect raw military data.
  
• GIS (Geographic Information Systems) Specialist: Analyzes and interprets spatial data to inform strategic decisions (if the bullet point on GEOINT above caught your attention, then this role could be for you!)

It’s also completely possible to transition from a civilian data role to serving as a soldier, and the same is true vice versa. George Al-Koura, CISO at Ruby, is a great example of this: after a successful career as a Signals Intelligence Specialist with the Canadian Armed Forces, George pivoted to the cybersecurity field in 2016.

George recently sat down with us at Lighthouse Labs as part of our Navigator Series, where he identified a unique parallel between data and defence that explains why ex-soldiers do so well in tech. So what’s the secret military sauce? “Discipline and reliability”, he says. “They know they can be put through a program where there’s an expected result”.

For those interested in making a similar switch, there are many certifications and training programs out there that can help make the transition into a military data science career smoother. For example, having a CompTIA or other security credential can be a great addition to your resume. As well, having existing clearance requirements can be an asset for those who will have to work with classified information.

Challenges and considerations

As the presence of data and AI in the military continues to grow, so do the potential risks and responsibilities associated.

One of the biggest areas of concern is arguably security and encryption, two notions that remain of paramount importance in the military. In such a sensitive environment where even a small breach can easily cost human lives, military forces must ensure data is being used and stored securely while also proactively working to prevent threats.

There are also many ethical and legal considerations to take into account with the military, especially when it comes to collecting data from and/or surveilling civilians. With international laws and regulatory compliance bodies coming into place, it’s important for operatives to remain transparent when using data of any kind.

Finally, it is also crucial to consider the potential bias of AI algorithms when they are used in military decision-making. Models that are trained on flawed data may produce skewed outcomes, which is why military forces should prioritize using inclusive sources and should perform regular audits.

The future of data in defence

It’s clear that data is the new weapon in a landscape of war that is both physical and digital, which is why technically savvy pros are in high demand in the military.

If you’re looking for a meaningful career that combines duty with data, join the growing field of military data analytics and see how your skills can make a tangible difference.

Interested in data but not sure where to start? Look no further than Lighthouse Labs!

Our Data Analytics and Data Science Bootcamps can have you job-ready in as little as 8 weeks. Not sure which one is right for you? Check out our upcoming Info Session and learn more about our programs.

For those with military experience eager to make the transition, the Roland Gossage Foundation is currently running a Soldiers in Tech program to help empower the military community with data skills. Check out the limited-time partnership to see if you are eligible for a grant with Lighthouse Labs.