BIG DATA AND DATA ANALYTICS
Big data collects, store and shares data.
Data analytics analyses and uses the data.
Big data and data analytics are generally used by businesses for competitive differentiation purposes:
- Improve the customer experience
- Optimise the processes and performance
- Strengthen and/or diversify business models
While their application is quite clear in marketing and sales (profiling, targeting), big data and data analytics also play a vital role in transforming processes: big data can help take into account information inside and outside the organisation for faster and better-suited decision making as well as improved fraud and risk management.
Blockchain is used to store and exchange information.
By extension, it is a database: an enormous repository of information exchanged between its users. It functions without a central supervisory body. It has been deemed transparent, secure and forgery proof.
The application that everyone has heard of is the cryptocurrency Bitcoin.
Blockchain technology is not limited to just finance. It can be applied to any multi-step transaction that requires traceability and visibility.
Consequently, its uses are being expanded and applied to many different sectors, including banking, insurance, transport, agri-food, energy, luxury, advertising, cultural industries, etc.
DATA ANALYTICS AND BIG DATA
This term refers to all of the theories and techniques that aim to imitate human intelligence through machines.
It is used in automatic learning called Machine Learning. The collected data is structured in such a way as to detect patterns from which understanding can be drawn.
Every person using a computer, smartphone or any connected object is using AI on a daily basis:
- Voice processing: personal assistants (Google Assistant, Alexa, Siri, Cortana)
- Image recognition: Facebook offers photo identification
- Product recommendations (Amazon, Netflix)
- Predictive models: Waze suggests driving shortcuts
Today there is one algorithm per function. Tomorrow, there will just one for everything.
The combination of AI and big data should make these two technologies progress even faster, with big data and data analytics providing AI with a massive amount of data.
The Internet Of Things refers to objects, spaces and environments connected to the internet: connected homes, companion robots, e-health bracelets, E-textiles, simple smartphone, etc.
Smart products are all around us: objects imbued with intelligence in order to make decisions, communicate and act independently.
The IoT also contributes to developing the phenomenon of big data and heightening its stakes through the large volume of collected data that it generates.
Information and Communication Technologies in Education
RPA (Robotic Process Automation) is the robotic automation of business processes in companies.
Through the automation of certain digital tasks and processes, these robot programmes execute repetitive, time-consuming, low added-value tasks for companies.
Aside from the benefits to productivity, the elimination of repetitive tasks contributes to greater employee satisfaction. The employees can then devote their time to high added-value activities in the company.