The Most Intrinsic AI Applications in the Public Sector

Is AI anything new? No, it is not. It has long been there. But, today the scopes of AI have changed over the years. Thanks to the abundance of data and advances in algorithm coding.

However, unlike the private sector, AI adoption is still nascent in the public sector, although AI applications can be leveraged for a wide number of use cases. AI alone can transform the way the public sector and educational institutions execute their operations. When accomplished strategically, AI can help these constituents unlock valuable potentials of the data in the following way:

·         Reduction in repetitive tasks

·         No wastage of talent and motivation

·         Improved labor efficiencies

·         Higher concentration in tasks that need creativity and oversight

Since the government workforce is a little older as compared to the private sector, AI can help a better transition to abolish the traditional view of government work like that of boring meetings and form fill ups.  

With AI becoming more ubiquitous, you can find many applications of Artificial Intelligence to be relevant inside and outside of the government organizations. These public sector use cases are readily driving performance improvements. Let’s check with them.

AI Applications

We would highlight some of the specific use cases, although quite common in nature, they are capable of offering immediate benefits.

1. Agent-based simulation for decision-making

Owing to agent-based simulation, it refers to the computational science that concentrates on independent active components of a system that interact with each other. In agent-based simulation modeling, active components are known as agents. The role of ABM is to detect interactive agents and their behavior. And these agents could be anything from people to vehicles, equipment to products and companies to entities.

·         How does the model work?   

ABM establishes a relationship between agents depending on environmental variables, and it runs the simulation. It then measures interactions of independent behavior and brings out the dynamics from the model.

 [Must Read – TOP 5 Significant Use Cases of Agent Based Modeling Simulation]

 SynergyLabs uses ABM with different key variables in one AI-based platform to extract efficient results.

 Hence, ABM is a novel and innovative way to leverage it for your organization. And Public policy management is a field that can benefit from agent-based simulation.

Nonlinearity is the base of complex systems like policy management, where the dynamics and nonlinear behaviors are tough to capture due to the presence of heterogeneous agents. As a result, decision-making is tough. To date, public policy assessors failed to define efficient public policy management process despite using several methods. However, simulations allow for dynamics and nonlinearity captures to solve the problem, and make decisions efficient and useful for management organizations. Benefits it can offer are;

·         Exhaustive interpretation of complex theories

·         Insightful observation from interactions between different entities and strategic methodologies

·         Examining new ideas

·         Anticipating the impact of policy

·         Developing a new theory

·         Determining the need for an improved approach for decision making

2.    Behavioral Analytics

Data analytics is critical to behavioral analytics that provides insights into people’s behavior or actions involved with online purchasing, social media activity, and gaming. The idea behind data analytics is to identify possibilities to optimize scopes and foster certain business outcomes.

Behavioral analytics deals with demographic and geographic data, and sometimes more than this to uncover additional data.

The primary objective of this phenomenon is driving conversions by creating and iterating patterns and dynamics from customer data. The same application can be employed across different governmental bodies to unlock key potential, improve efficiency and transparency in public management.

How it helps:

The government can make use of a large volume of data and acquire more insights using data analytics

·         Predicting Behavior

Making predictions based on the available data is useful to determine a careful balancing act much ahead of an important public meet or convention. For example, a music concert is likely to take place in a place. So, based on the public space data, you can detect the number of visitors, gauge pressure in a specific area, identify busy or less busy locations and decide about the probabilities of congestions in an area. Thanks to data analytics, it helps deploy necessary police security in an area where it is highly needed.

Other than this, predicting crime and fraud, improving emergency response, increasing cost-savings are some essential applications of AI.

3.    Converting Paperwork into Digital Asset

We know most of the government functionaries are too much engrossed with tedious and iterative paper work or content management. But, the problem with these papers is their non availability when needed. There comes the need of converting paperwork or any content type into digital assets. The content can comprise anything from images, documents, audio/video clips, and creative files.

These are valuable resources of any organizations and digital asset management can help you centralize, organize, and make use of these files anytime anywhere you want through a centralized server. The operation runs on cloud computing, an integral part of AI and the conversion from paperwork to a digital asset is done via Intelligent Character Recognition and Optical Character Recognition. In addition, an advanced AI metadata tagging helps find files faster while giving the designated person access to important files to improve efficiency.

4.    Crime Reduction and Prevention

The government must make efforts to prevent crime to ensure safety for its people. AI here offers a great contribution to crime reduction and prevention.

 For crime detection, AI can offer real-time information about a crime. It uses machine learning to predict when and where a crime is most likely to occur. The system uses historical data to predict future crime.

On the other hand, AI offers better insights into the scopes of preventing crimes by identifying patterns accurately. It rightly complies with the principle to prevent crime in the first place to avoid major threats to life and property and ensure security.

Conclusion:

SynergyLabs’ case study can highlight how AI can be of great use to improve efficiency and increase productivity in organizations. The similar way, government organizations can rethink the scopes and benefits of AI so as to bring a massive transformation that reinstates trust and credibility to government endeavors. SynergyLabs offers AI-based consultancy to organizations of every type. If you have any query, we would love to connect.