Driving the Future of Government Services Using Data and AI

Empowering public services to better serve citizens and protect their communities with a unified data platform

Today, public services are dealing with massive volumes of data in diverse structured and unstructured formats that are only growing over time. As one of the largest employers in the world, significant complexity, operation inefficiencies, and a lack of transparency are introduced in government organisations. Coupled with legacy systems and traditional data warehouses siloed by agencies and departments, government agencies are unable to realise the adequate value of data, analytics, and data stymieing their digital transformation goals.

To uncover actionable real-time insights and make data-driven decisions, it is critical for data to be shared securely at scale. Data modernisation is the key to giving government agencies and policy-makers access to deeper, more meaningful insights for decision-making. This will benefit the citizens in the form of more personalised and efficient services, stronger national security, and smarter resource management.

Ensure data security at scale and deliver critical initiatives efficiently to better serve and protect communities

From national security and defense data to individual health and financial information to national infrastructure, energy, and education data — all this data that our government agencies are responsible for is highly sensitive. It is critical that the data is protected at every level of the platform through deep integration with fine-grained, cloud-provider access control mechanisms. By unifying data with analytics and AI, government agencies can adapt to easily access all their data for downstream advanced analytics capabilities to support complex security use cases. Government security operations teams can easily detect advanced threats on such a platform, accelerating investigations from days to minutes and reducing human resource burnout through analytical automation and collaboration.

Enable data innovation in the public sector with a powerful modern data architecture across agencies

Data stored by public sector bodies can be highly valuable when it can be shared with other departments and help elevate data-driven decision-making. The time is now to leverage the scale of the cloud and democratise secure access to data to enable downstream BI and AI use cases, for government agencies to accelerate innovation.

By taking advantage of data, analytics, and AI for actionable insights at scale, the government can improve citizen services while implementing smarter and more transparent governance. It eliminates data silos and increases communication and collaboration across agencies to ensure the best results for all citizens, that is delivering personalised citizen services while achieving data security and cyber resilience for the satisfied population.

OpenGov Asia is pleased to invite you to an exclusive in-person Breakfast Insight session, that will provide the latest novel approach to allowing large-scale analytics in the public sector. This is a closed-door, invitation-only, interactive session with top-level public services industry leaders.

The bane of secure data sharing across agencies is that it must start within one small department. Come join us and learn:

• Predictive analytics in government: strategies for using analytics and AI at scale
• How the public sector is utilising data and artificial intelligence to innovate
• Common analytics and AI application case studies
• Overcome obstacles by establishing a collaborative environment for analytics and AI
• Adopt a holistic strategy for data analytics and AI that brings together disparate kinds of data
• Collaborate to produce value from essential data assets

Who Should Attend:

• Chief Information Officers
• Chief Transformation Officers
• Chief Data Officers
• Chief Operating Officers
• Chief Digital Strategy Officer
• Chief Technology Officer
• Chief Innovation Officer
• Chief Clinical Informatics Officer
• Head of Analytics / AI / Data Science / Data Architecture / Data Operations
• Director of Analytics / AI / Data Science / Data Architecture / Data Operations