Machine learning algorithms have the ability of iteratively learning from data and thereby, allowing computers to find insights without being programmed to do so. Public sector agencies are making use of machine learning for government initiatives to gain vital insights into policy data. Machine learning systems are also used for filtering citizen policy data and automatically alert executives about legislation or regulations that can potentially affect them.
In this blog post, you will learn about some applications of machine learning in public sector
Machine Learning in Energy sector
Government agencies are now partnering with machine learning experts for implementing machine learning solutions to benefit the energy sector. Machine learning algorithms allow for complex predictions to be made with high accuracy thereby, effectively improving senior management’s decision making. Machine learning algorithms are also used for wind forecasting. Combining government’s domain knowledge machine learning expertise, government agencies are focusing on generating sustainable energy. Moreover, machine learning also provides great potential in enabling utilities to change at a faster pace along the entire value chain.
Machine Learning for Government Cyber Security
Email security, insider threats, ransomware and state-sponsored attacks are always in headlines. In our cyber-oriented world, the government is facing various hurdles while overcoming these security challenges. Government agencies are now adapting to analytics-driven approach to security. In this approach, government agencies leverage machine learning, and enable an adaptive response. This encourages automated retrieval, sharing and response in multivendor environments. Machine learning algorithms also facilitate the development of dynamic resources for implementing real-time intelligence that helps in detecting ransomware threats in real-time.
Mission Critical Results for Government Initiatives
Government agencies are often tasked with the difficult challenge of providing citizens with more efficient, effective, and transparent services having strict and often decreasing budgets. Government agencies can utilize machine learning algorithms for increasing operational efficiencies by analyzing datasets, finding anomalies and similar patterns, and making predictions about future events. Machine learning algorithms provide fast, accurate, and scalable results that are up to 10,000 times faster than previous analytics systems.
Today, with use of machine learning technology, government agencies are able to address myriad challenges that were previously unthinkable. Machine learning can be implemented for gaining insights from comprehensive public data, to deliver accurate analytics derived from that data, and to develop smart products.