The global skills and competency framework for the digital world

Examples of professional roles and use of AI

1. Data Analyst

  • Automate: Use AI tools to automate data cleaning, pre-processing, and integration tasks, saving time and effort.
  • Assist: Leverage AI-powered data visualisation and reporting tools to identify patterns, trends, and insights more easily.
  • Augment: Apply machine learning algorithms to build predictive models and forecast future trends, enhancing decision-making capabilities.

2. Cybersecurity Specialist

  • Automate: Implement AI-driven security tools to automate threat detection, incident response, and vulnerability management processes.
  • Assist: Use AI-powered anomaly detection systems to identify potential security breaches and prioritize alerts for investigation.
  • Augment: Employ machine learning techniques to adapt to evolving threat landscapes and improve the accuracy of risk assessment and mitigation strategies.

3. Software Developer

  • Automate: Use AI-assisted code completion and generation tools to automate repetitive coding tasks and improve development speed.
  • Assist: Leverage AI-powered code review and optimization tools to identify bugs, suggest improvements, and maintain code quality.
  • Augment: Incorporate machine learning libraries and frameworks to build intelligent features and enhance the user experience of software applications.

4. IT Service Desk Analyst

  • Automate: Implement AI-powered chatbots and virtual assistants to automate routine customer inquiries and support requests.
  • Assist: Use AI-driven ticket classification and routing systems to streamline issue resolution and improve response times.
  • Augment: Apply machine learning algorithms to analyse support patterns and identify opportunities for proactive problem-solving and service improvements.

5. Digital Marketing Specialist

  • Automate: Employ AI-driven marketing automation tools to streamline campaign management, email marketing, and social media scheduling.
  • Assist: Use AI-powered analytics and reporting platforms to gain insights into customer behaviour, campaign performance, and ROI.
  • Augment: Leverage machine learning algorithms for predictive customer segmentation, personalized content recommendations, and dynamic pricing optimization.

These examples demonstrate how AI tools can automate routine tasks, assist with data-driven insights, and augment decision-making capabilities across various digital, data, technology, and cybersecurity roles. By adopting AI tools at the appropriate level, professionals can enhance their productivity, improve the quality of their work, and drive innovation in their respective fields.