Government Agencies Leverage Cutting-Edge Technologies

Government CIOs should assess technological trends to justify investments to improve business capabilities, satisfy leadership priorities, and future-proof their companies.

FREMONT, CA: The current state of technological upheaval and global unrest not only puts pressure on governments to strike a balance between digital potential and hazards, but it also offers excellent chances to influence the development of the next generation of digital governance. Government As technology continues to evolve, it is crucial for CIOs to carefully evaluate the impact of various trends on their organizations. By gaining insights into these trends, CIOs can advocate for investments that will enhance business capabilities, align with leadership priorities, and position their government organization for future success.

Adaptive security is a security approach designed to be flexible and responsive to changing threats and risks. It involves

According to a recent report by Gartner, it is predicted that by 2025, a significant majority of government CIOs - 75 percent, to be precise - will be held directly accountable for security measures beyond Information Technology (IT). This includes overseeing security in operational and mission-critical technology environments. Integrating enterprise data, privacy, supply chain, cyber-physical systems (CPS), and cloud has become increasingly prevalent in today's business landscape. As a result, an integrated security approach is necessary to effectively address the complex security challenges that arise from this convergence. CIOs must establish a connection between adaptive security and wider digital innovation, transformation, national security, and resilience objectives.

Legacy modernization is a process that involves updating outdated systems and technologies to keep up with the current demands of businesses. One of the most popular approaches to legacy

Governments across the globe are facing mounting pressure to dismantle outdated, compartmentalized systems and data repositories. This is being done to revamp their IT infrastructure and applications, thereby enhancing the resilience of government services. CIOs can employ adaptive sourcing strategies to identify areas where the "as-a-service" delivery models can complement internal resources and cater to business priorities. According to the forecast, most governments will leverage hyper-scale cloud service providers for more than 50 percent of their workloads by 2025.

The rise of global uncertainty and growing apprehension regarding data privacy and government intervention has led to an increased need for sovereign clouds. In recent times, there has been a growing trend among governments to restrict the vulnerability of their data and infrastructure to external jurisdictions and foreign government access. According to a forecast, a significant portion of government legacy applications, approximately 35 percent, will be substituted by solutions created on low-code application platforms and managed by fusion teams by 2025.

Hyperautomation

As per the findings, it has been projected that by the year 2026, a significant 60 percent of government organizations will give precedence to the automation of business processes. This is a notable increase from the current figure of 35 percent in 2022. Hyperautomation initiatives are designed to facilitate the smooth functioning of business and IT processes in the government sector. Citizens should have access to seamless, connected services that meet their needs. To achieve digital transformation and streamline operational costs, CIOS must ensure that its automation initiatives align with its current priorities.

The field of Decision Intelligence has been revolutionized by the advent of Artificial Intelligence (AI). AI has become a valuable tool for identifying patterns in vast amounts of data.

Recent studies estimate that by 2024, a significant 60 percent of government investments in AI and data analytics will directly impact real-time operational decisions and outcomes. Implementing AI in decision intelligence has enabled governments to make informed decisions quickly and efficiently on a large scale. It provides reliable insights that aid in early decision-making because of its high accuracy. With artificial intelligence (AI) becoming more prevalent, CIOs must take proactive measures to prepare for its integration. This involves ensuring that data is readily accessible at critical decision-making junctures and establishing robust governance principles to ensure effective management of AI systems.

Data sharing can be implemented as a program to facilitate the exchange of information between different entities. This program can be designed to ensure that data is shared securely and efficiently while also maintaining privacy and confidentiality.

In today's data-driven landscape, ad hoc data-sharing practices among agencies and departments must be revised to meet the growing need for deriving value from data and analytics. These frameworks will include specific data structure, quality, and timeliness guidelines. When developing data-sharing initiatives, CIOs should prioritize value-added and mission objectives.