Public Sector Software Development
The amount of data collected by agencies across the public sector is growing exponentially. The question is, how do we use that information to generate effective outcomes. Harnessing the potential of AI and automated machine learning, we help agencies provide the insight they require to fulfill their agency’s mission
AI and Public Sector
Data is one of the significant resources that any government agency works with; therefore, it is crucial to understand both its purpose and power. It is where Artificial Intelligence holds tremendous potential, helping organizations to take result-driven action and space up their response times in this changing world. Combining automated machine learning and predictive modeling, agencies can deliver actionable and accurate predictions with interoperability and transparency.
- Medical Fraud Detection and Prevention
- Public Health and Safety
- Fraud Detection
- Combating and preventing terrorism
- Injury Prevention
- Insider threats
- Predictive Maintenance
- Case Loads
Use Cases of AI in the Public Sector
Leaders within the public sector come across various challenges every day to balance the needs of citizens for services with the aim to do more with less. Every agency’s success depends on the AI use cases and the ability to provide insights from collected data quickly.
Implementation of AI helps the intelligence community provide threat analysis to prevent terrorist attacks. For example, facial recognition technology can enable the automation of surveillance with CCTV cameras in public places.
Federal entities use AI to collect historical data on information policy violations to hinder any misuse, even to the level of specific individuals. Improper document handling, unauthorized internet usage and computer hardware violations fall under the category of insider threats.
Sophisticated hacking techniques, including polymorphism and obfuscation, make it challenging to understand malicious programs. With AI in cybersecurity, researchers identify and prevent cyber-attacks with minimum human intervention. For example, Gmail uses machine learning techniques to block over 100 million spam emails in a day.
Data analysis helps in collecting citizens’ medical and fitness history to evaluate injury rates and identify individuals who might have a lower chance of getting injured. This analysis can also keep an eye on the effectiveness of new injury prevention techniques, allowing agencies to select higher quality candidates at the time of the selection process.
Predictive maintenance aims at utilizing data from your machine to build predictive models for reducing costs and wear and tear on equipment. With AI, we can help your agency understand the optimal time to schedule maintenance and buy spare parts.
Public Health & Safety
Using data from various sources, we can build machine learning models that enable understanding of how all drugs are prescribed at the county level. As a result, agencies can identify the relationship between non-opioid based drugs and their impact on the opioid death rate across the country.
Our Success Story
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Our Engagement Models
Dedicated Development Team
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