Enterprise Computing: EC12-06-How Innovative Technologies Have Influenced Enterprise Computing...

Описание: 1. AI makes data visualisation smarter
• AI can quickly find patterns in large enterprise datasets.
• It can help create charts automatically and highlight important trends.
• This helps businesses make faster decisions.
2. Machine Learning improves accuracy
• ML models can predict future outcomes (sales, customer behaviour, risks).
• These predictions can be shown in dashboards to support business planning.
3. Cloud Computing enables real-time dashboards
• Cloud platforms store and process big data.
• Enterprises can see live data visualisations from anywhere (e.g., sales updates).
• This supports teamwork and faster responses.
4. IoT (Internet of Things) provides constant data flow
• Devices like sensors, smart machines, and trackers send real-time data.
• This data is visualised in dashboards to monitor performance, safety, or efficiency.
• Examples: smart factories, logistics tracking.
5. Big Data tools allow enterprises to handle huge datasets
• Tools such as Hadoop, Spark, or data warehouses can manage millions of records.
• Visualisation tools turn this into simple graphs and insights for managers.
6. Automation reduces manual work
• AI systems clean, organise, and prepare data automatically.
• This reduces errors and improves data integrity.
• 7. Augmented Reality (AR) and VR for immersive visualisations
• Enterprises use AR/VR to view data in 3D.
• Useful for training, engineering, or analysing complex systems.
8. Interactive dashboards improve communication
• Tools like Power BI, Tableau, and Google Looker Studio allow clicking, filtering, and exploring data.
• This helps staff understand patterns without needing technical skills.
9. Natural Language Processing (NLP) makes data easier to access
• Users can type or speak: “Show me last month’s sales.”
• AI creates the chart instantly.
• This improves accessibility for all staff.
• 10. Improved cybersecurity protects data
• Modern systems use AI to detect unusual activity in datasets.
• This protects enterprise visualisation tools from data breaches.