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Guidance to help you assess if artificial intelligence (AI) is the right technology for your challenge.
The selection criteria used to assess GovTech Catalyst funding applications.
Publish your code and use open source to improve transparency, flexibility and accountability.
Work towards creating a service that solves a whole problem for users, working with other teams and organisations where necessary.
This section shows how to translate user needs into policy and services and how you to work collaboratively with users and specialists
Your purchasing strategy must show you’ve considered commercial and technology aspects, and contractual limitations.
Guidance to help you plan and prepare for implementing artificial intelligence (AI).
Grievances and disciplinary action at work can be solved by informal discussions, formal procedures, mediation, conciliation or arbitration.
How to use a contextual inquiry when developing your digital health product.
A description of what GDS Technical Architect job interviews are like, and how the interview process works.
How to use chatbots and webchat tools to improve your users’ experience of your service.
Develop a deep understanding of users and the problem you’re trying to solve for them.
How to use a combination of quantitative and qualitative data to evaluate your digital health product.
How to use a cost utility analysis to evaluate your digital health product.
Terms of reference for a judicial working group advising on potential models for problem-solving courts.
How to choose data tools and infrastructure that are flexible, scalable, sustainable and secure.
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