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Government

The Current State of Play

The COVID-19 crisis has sped up the adoption of AI in the sector. By pushing processes, people and services online, it’s forced local, regional and national governments to lead by example. As the digital state becomes a reality, it’ll be the job of governments to make sure their employees have the skills, mindset and connectivity to thrive, including those working remotely. Likewise, they’ll need to upskill citizens to get the most from digital public services and the wider digital economy. And they’ll need to keep working with the private sector to share knowledge and innovate.

The Need

Digitize on a scale (and at a pace) that might have seemed impossible before

Learn to manage a remote workforce

Work closely with the private sector to close skills gaps and develop innovative solutions

Use AI as a key weapon in the fight against the virus – from educating the public and screening patients to tracking and tracing contacts.

The Solution

Use AI to process public and internal data to weigh options, evaluate cost-benefit analysis, conduct scenario planning and futures thinking.

What Our Algorithms Can Do

Level 1

Profile and benchmark policies and programme eveness against target set.

Level 2

Explain drivers and cause-and-effect for public reaction on policies and programmes

Level 3

Map out scenarios and potential outcomes and implications

Level 4

Prescribe and recommend measures that yield measurable outcomes

Level 5

Ongoing monitoring of new variables

The Impact

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Optimizing processes to become more efficient and productive. For example, public administrations can improve their workflows by using AI to route inquires, enabling automation of redundant work and reducing errors.

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Transforming services to make them better quality – and develop new ones. In healthcare, for example, AI can improve patient outcomes by analyzing individual patient information to personalized treatment.

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Enabling employees to get better results with less effort. For example, virtual assistants can reduce time spent replying to basic inquiries, while predictive analytics enables more informed decision-making.

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Engaging stakeholders so citizens, business and partners have a better experience. In transportation, AI can enhance the user experience for passengers by using historical and real-time data to predict demand and ensure that services are always available at the right time.

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