Digitizing public services can be a game changer for governments. Streamlining inefficient processes, providing digital access and delivery of services to meet public expectations, implementing technology to protect constituent data, leveraging information to make data-driven decisions and migrating outdated on-premises systems to the cloud are crucial to an entity’s success. Through these types of digital services, entities can keep scale with future demand and be better positioned to rapidly respond to changing demands.
1. Artificial intelligence
With 76% of IT leaders agreeing that generative AI will be significant or transformative for their organizations [1], Artificial intelligence (AI) will continue to grow in popularity and importance throughout the public sector. From enhancing efficiency, decision-making and service delivery, AI is streamlining administrative tasks, reducing the burden on government employees and allowing for more time to focus on value-added tasks.
However, as the public sector continues to integrate AI into its operations, it also highlights the importance of both AI readiness and AI governance. AI readiness works to prepare the entity to effectively adopt AI technologies by identifying where AI can add value within your entity, investing in the necessary infrastructure and developing a workforce culture that fosters understanding and safe use of these systems. Additionally, the establishment of an AI governance framework provides guidelines for the ethical, transparent and responsible use of AI. By focusing on both readiness and governance, public sector entities can better prepare for the complexities of future AI deployment while minimizing risk and building public trust.
Public sector entities can get started incorporating AI into their digital transformation goals by engaging in an AI readiness assessment to identify risks and gaps that need to be addressed prior to development of use cases and the launching or acceleration of any AI initiatives. A comprehensive readiness assessment considers technological aspects as well as strategic alignment and workforce readiness, ensuring a holistic, safe and responsible approach to AI adoption.
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