Yet compared with many private sector industries, it鈥檚 fair to say that public sector adoption of AI technology has been more measured. Governments and other public sector organisations face a number of significant challenges, from the availability of skills and investment funding, to demonstrating value and ensuring transparency about how decisions are made.

These challenges are reflected in the 麻豆原创 Institute for Digital Government鈥檚 latest report 鈥撎�� developed in partnership with the University of Queensland. While 80 per cent of public sector organisations are actively working towards data-driven transformation, fewer than 15 per cent have progressed beyond prototypes.

In order to drive greater uptake, the public sector needs to develop best practice frameworks and solutions for the development and use of AI systems that are accurate, robust, and scalable, but also reliable, fair, and transparent.

When building AI systems to meet these high levels of expectation, it鈥檚 vital that public sector workers are able to understand how these systems generate decisions and explain how this impacts results. This is known as AI explainability.

Read more of the article on Government News .

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The last article in our 鈥淒ealing with Disruption鈥� series presented a conceptual architecture for Digital Nudges and demonstrated how it could be applied to improve crisis communications relating to a second-wave outbreak of the Coronavirus. In this companion piece, we seek to demonstrate that governments have ready access to the business applications and technologies required to deliver digital nudges today.

To achieve this, we鈥檒l map our conceptual architecture to 麻豆原创 products that are generally available and are already in use by governments around the world.

Conceptual Architecture

For reference, our conceptual architecture for digital nudges is depicted below.

Figure 1: A conceptual architecture for digital nudges.

听麻豆原创 Reference Architecture

Mapping our conceptual architecture to 麻豆原创 products provides assurance that our conceptual architecture can be delivered in practice.

Figure 2: An example reference architecture for digital nudges.

Note that 麻豆原创鈥檚 will evolve over time, so this bill of materials should be considered representative rather than prescriptive.

• Predictive Analytics:
  • : enables organizations to analyze the behavior of customers and to generate risk scores and insights.
• Contextualization:
  • : enables organizations to use consent-based marketing and advanced data analytics to engage customers with pinpoint accuracy.
• Experience Management:
  • : enables organizations to gather experience data and combine it with operational data to close experience gaps.

• Analytics:
  • : enables organizations to provide a single source of truth to decision makers about the most important business metrics in real time.
    : enables organizations to combine BI, planning, predictive, and augmented analytics capabilities into one simple cloud environment.
• Intelligent Technologies:
  • : enables organizations to process distributed data and provide users with intelligent, relevant, and contextual insights with integration across the IT landscape.
    : enables organizations to define functions that can be called from within SQLScript procedures to perform analytic algorithms.
• Data Management:
  • : enables organizations to deliver a data warehouse in the cloud to unite multiple data sources in one solution.
    : enables organizations to accelerate data-driven, real-time decision-making and actions via a high-performance in-memory database.
• Application Development & Integration:
  • : enables organizations to model, implement, integrate, and monitor custom process applications and integration scenarios.
  • : enables organizations to accelerate integration, simplify development of application extensions, and expand business value with an open ecosystem.

In presenting this reference architecture, our intent has been to provide a worked example to demonstrate that governments have ready access to the business applications and technologies required to deliver digital nudges today, using business and technology components from 麻豆原创.

While other vendors might be able to offer some components of a digital nudge platform, we believe there is a benefit in sourcing the end-to-end solution from a single vendor.

To read more Public Sector content or find out more about 麻豆原创’s Public Sector customers and products, visit:

The post Dealing with Disruption: 麻豆原创 Reference Architecture appeared first on 麻豆原创 Australia & New Zealand News Center.