Why AI is Necessary to Achieve Readiness

While AI in military applications runs much deeper than simple automation, it’s critical to understand that not all AI is the same. Military leaders should look for a suite of integrated readiness optimization (IRO) applications that work together to provide an unparalleled level of efficiency and insight, combining varied data sets to realize a cumulative impact for sustainment operations

To provide the right decision support, look for IRO applications with the following AI capabilities:

1. Decision Transparency

XAI is a framework that helps humans understand and trust the insights created by their AI models. It uses specialized models and algorithms to provide clear explanations and reasoning for how it came to a certain conclusion or recommendation. When leaders can trust their AI to help them make the right proactive decisions, they’re able to optimize pre-existing readiness activities, while also anticipating future needs in the most efficient ways possible.

2. Ad-Hoc Analysis

It used to be that data analysts needed advanced analytic skill to explore the complex, interconnected data sets required to answer strategic questions. But AI-guided analytics can now do a lot of the heavy lifting, automatically finding insights and suggesting, in plain language, what to do to explore the data more in-depth.

This helps analysts focus on interrogating the right data so they can validate and prioritize opportunities, as well as collaborate with data scientists to launch and guide impactful projects that enhance readiness for the near- and long-term.

3. Data Flexibility

Rather than approaching data gathering and analysis manually, the use of AI automates data integration and insights across the technology stack, enabling teams to mitigate risks and identify areas for improvements more quickly. Furthermore, the algorithms don’t just process historical data, they learn from them, which also helps improve their predictions over time.