AI explained - Cognification, Augmentation, Virtualisation, Automation
AI Summary
Summary: CAVA - Cognitive Augmentation Virtualization Automation
- Cognitive (Cognic)
- Aim: Make things smart (not human-level understanding)
- Machines understand patterns, interpret data, and have basic reasoning
- Real-time data feeds enhance industries like finance and healthcare
- Results in smarter processes (e.g., smart farming, smart government)
- Augmentation
- Amplifies human capabilities
- Examples: language processing, VR for data visualization, document summaries
- Leads to efficiency, speed, and potentially more free time
- Virtualization
- Allows immersive interaction with complex scenarios
- Utilizes holograms, VR, AR, and XR
- Helps to see and understand data differently and more quickly
- Automation
- Not the primary goal of AI but a significant aspect
- Suitable for tasks without the need for human judgment or common sense
- Can automate repetitive tasks in various sectors like customer service
- Overall Impact of CAVA
- CAVA principles create space for creativity and new opportunities
- Reduces commodity work, potentially increasing job satisfaction
- Advises clients to focus on cognitive, augmentation, and virtualization benefits over automation for more meaningful improvements
- Engagement
- Encourages sharing the video and subscribing for more content