Business intelligence and AI – what is the difference ?
Introduction
Business intelligence (BI) and artificial intelligence (AI) are two areas of technology that are becoming increasingly important for businesses.
They are often used together, but it is important to understand the differences between the two.
What is Business Intelligence ?
Business Intelligence is a set of technologies and processes that enable companies to collect, store, analyse and visualise data. Data can be used to improve decision-making, process optimisation and customer insight.
The main components of BI are :
- Data collection : data can come from a variety of sources, such as customer relationship management (CRM) systems, enterprise resource planning (ERP) systems and data analysis systems.
- Data storage : data must be stored securely and be accessible so that it can be analysed.
- Data analysis : data can be analysed using a variety of techniques, such as statistics, modelling and machine learning.
- Data visualisation : the results of data analysis must be presented in a visually appealing and easy-to-understand way.
What is artificial intelligence ?
Artificial intelligence is a field of computer science that aims to create machines capable of imitating human intelligence. The applications of AI are many and varied, including speech recognition, computer vision, natural language processing and machine learning.
Machine learning is a branch of AI that enables machines to learn from their own data. Machines can learn to recognise patterns in data, make predictions and take decisions.
What is the difference between BI and AI ?
Business intelligence and AI are two areas of technology that are often used together. However, it is important to understand the differences between the two.
Business intelligence focuses on the collection, storage, analysis and visualisation of data. It aims to help businesses make better decisions by providing them with actionable information.
L’intelligence artificielle vise à créer des machines capables d’imiter l’intelligence humaine. Elle peut être utilisée dans l’intelligence d’affaires pour améliorer l’efficacité et la précision de l’analyse des données.
Here is a table summarising the main differences between business intelligence and AI:
| Features | BI | AI |
|---|---|---|
| Goal | Making better decisions | Creating intelligent machines |
| Focus | Data | Intelligence |
| Techniques used | Statistics, modelling, machine learning | Machine learning, speech recognition, computer vision, natural language processing |
| Examples of applications | Dashboards, reports, predictive analysis | Facial recognition, autonomous cars, robots |
How is AI used in BI ?
Business intelligence and AI : what’s the difference ?
Business intelligence (BI) and artificial intelligence (AI) are two areas of technology that are becoming increasingly important for businesses. They are often used together, but it is important to understand the differences between the two.
What is business intelligence ?
Business intelligence is a set of technologies and processes that enable companies to collect, store, analyse and visualise data. Data can be used to improve decision-making, process optimisation and customer understanding.
The main components of business intelligence are as follows :
- Data collection : data can come from a variety of sources, such as customer relationship management (CRM) systems, enterprise resource planning (ERP) systems and data analysis systems.
- Data storage : data must be stored securely and be accessible so that it can be analysed.
- Data analysis : data can be analysed using a variety of techniques, such as statistics, modelling and machine learning.
- Data visualisation : the results of data analysis must be presented in a visually appealing and easy-to-understand way.
How is AI used in business intelligence ?
AI can be used in business intelligence in a number of ways, including :
- To improve the efficiency of data analysis : AI can be used to automate data analysis tasks, such as data cleansing, anomaly detection and report generation.
- To improve the accuracy of data analysis : AI can be used to develop machine learning models that can identify complex patterns in data.
- To create new opportunities for data analysis : AI can be used to explore new ways of analysing data, such as using machine learning to generate non-intuitive insights.
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Conclusion
BI and AI are two areas of technology that are becoming increasingly important for businesses. They can be used together to improve decision-making, process optimisation and customer understanding.