Premier
(a) How has his Department applied artificial intelligence (AI) to improve service delivery in the province, (b) what specific AI-driven programmes or initiatives have been introduced by his Department to enhance efficiency, transparency or responsiveness in service delivery and (c) what measurable outcomes or results have been recorded since the implementation of these AI initiatives?
- The department is implementing various AI tools covering employee productivity, operational efficiency and service delivery improvement; including Microsoft Copilot, Speech-to-text, Natural Language Processor (NLP) and Large Language Modeler (LLM).
(b) The following AI use cases / tools are being implemented:
Employee Productivity:
- M365 Copilot - to optimise productivity on the M365 suite of Products (Word, Excel, Outlook, Teams, amongst others)
- MS Teams Copilot- Meeting assist, Optimised collaboration and automatic summarisation, transcription and minuting of meetings
Operational Efficiency:
- Github Copilot – to improve systems development time and application security
- Github Advanced Security – automated security and vulnerability checks on code (systems development)
- Security Copilot - Automated Intrusion protection and scanning of logs for security breach patterns (Predictive & Prescriptive security intervention)
- Cloud FinOps - Multi-cloud management, including cost management
Assisting departments with various service delivery improvement use case:
- Speech-to-text (DOHW & DSD)– to reduce admin overhead and allow more time with residents by automated note taking.
- Speech-to-text & Cognitive AI (POCS) – Optimise service delivery and use AI to analyse and capture video and still images.
- Cognitive AI - to summarise and auto-classify documents based on sensitivity labels.
- NLP and LLM (DOA) – Assist with climate modelling, predict soil health and crop yields, automated disease monitoring and early detection.
- NLP and LLM (DOHW) – Virtual healthcare, to optimise diagnosis, triage patients, wellness monitoring and burden of disease management.
(c) These initiatives are either in Proof-of-Concept (POC) phase or early stages of implementation. The productivity tools (M365 & MS Teams Copilot) have been rolled out to selected users post POC and users have noted significant time savings with the tools assisting in various areas, including note / minute-taking, summarising and generating content.
