This is how the public sector could use the potential of AI

The public sector has a huge amount of data, so the possibilities of applying AI in this area are much greater than in the private sector. In addition, you can benefit from the experiences and practices of industries that had the opportunity to experiment and learn from their mistakes, thus developing effective strategies for applying innovation. Cooperation between the public sector and various businesses is needed both in the sharing of knowledge and in the creation of regulations that guarantee the ethical use of artificial intelligence and respect the right to privacy. In the future, it will become essential for public organizations to learn about and use the technology, so they will be able to shape related legislation with greater insight.

“The challenges of recent years have raised complex questions for which it is not enough to seek answers at the institutional level and to prepare decision support based only on the data available at the local level. In most cases, local type data and competence are not enough, a more comprehensive complex concept, i.e. analytics across institutions, is needed. The goal is to be able to interpret, process and analyze the data wealth that the state administration also has in a larger perspective”

– said Viktor Szász, SAS Magyarország Business Analytics expert.

A more humane state

The use of artificial intelligence can bring many tangible benefits to both the state and its citizens. Among other things, artificial intelligence makes it possible to make quick and accurate decisions, detect fraud and irregularities, and thus could also improve the quality of public services. The applications of solutions based on AI and advanced analytics can also be utilized in the fields of public finances, healthcare, social care, the security sector or justice.

“With regard to cross-institutional analytics, scalable infrastructure that can be developed quickly and flexibly, government data registration, proven and reusable interfaces, reliable data management and advanced analytical and AI capabilities are essential. The legal environment and processes, as well as information security, are extremely important, since in the field of public administration, we are talking about sensitive data, the use of which is tied to a legal basis, so appropriate support is necessary so that decision-makers can react as quickly as possible in a given situation. Data-based decision support can only be implemented effectively if we can analyze the relevant information together. Organizations are not driven by data, but by decisions!”

Viktor Szász added.

Algorithms can save lives

Health care is an area where the work of data science specialists can already be widely used, but the prospects are even further. The use of artificial intelligence can have a significant impact on improving the efficiency of the healthcare system by better understanding the needs of patients and facilities and managing the entire system more effectively. In addition, AI solutions can improve the efficiency of administrative operations, support physicians in diagnosis, and medical and organizational decision-making.

Algorithms enable, for example, more efficient evaluation of CT scans in oncology, and can also help evaluate tumors suitable for surgical removal. Advanced AI technologies, including image recognition and deep learning models, provide information about the entire volume of the tumor and create a 3D representation of it. This allows doctors to more accurately determine whether life-saving surgery can be performed or if a different treatment strategy should be chosen.

Doing the robot work

The automation provided by AI can dramatically reduce costs and the time required to perform routine manual tasks. This allows employees to focus more on strategic projects. Artificial intelligence can significantly improve service delivery through streamlined digital processes that eliminate the risk of human error and delays from manual processing.

Where does the specialist come from?

Many institutions do not have the appropriate competencies and resources to implement projects using artificial intelligence. The demand for data science professionals is growing rapidly, but the education sector has so far not been able to keep up with the increased needs. According to Marek Ruciński, head of customer relations at SAS, an effective way to overcome the shortage of professionals is:

If there is a shortage in the market, such people can be trained internally. Applicants do not need to be proficient in IT and statistics, but they must be able to use and verify analytical models”

– as an expert, he added that it is worth looking for candidates in departments working with geographic data and among advanced Excel users.

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