This is known as theautomatic learning or machine learning. But to obtain reliable, accurate models, the data supplied to it must be of high quality and correctly "prepared". This is not only time-consuming, but also requires financial and human resources. How can companies optimize the process and cut costs? Here's the answer.
Machine learning, an essential asset for your business
L'automatic learning (AA), what is it? It's a field of AI that focuses on the development of algorithms that enable machines to learn by themselves and improve their capabilities from data, without having been explicitly programmed to do so.
These algorithms are designed to identify hidden trends and relationships in large volumes of data. They adjust their model as new information becomes available. This enables them to make predictions and even extremely precise decisions.
When the AI in an insurance company's software is able to recognize and detect every single point of impact on a photograph of a crashed vehicle, for example, it's machine learning at work. This technology is used in a wide variety of fields, where it clearly optimizes human work.
A wide range of applications
Machine learning is used in fields such as virtual assistance, voice recognition, spam detection, medical diagnostics, product recommendation, offer optimization and autonomous cars. It enables tasks to be automated and simplified, and considerably improves decision-making, process optimization and innovation, among other things.
More specifically, machine learning can enable AI to detect handwritten documents in order to digitize them, classify images or recognize places, actions, people and objects in a photo (as in the example cited above).
The undeniable advantages of machine learning
Machine learning offers many benefits:
- Ability to process large volumes of data: machine learning enables us to process and analyze quantities of data that humans would never be able to do.
- Adaptability and scalability: learning systems adapt and evolve as new data becomes available. They are therefore constantly improving their models.
- Process automation: machine learning automates the development of complex analytical models, freeing up time and resources (human and financial).
- Accuracy and reliability: modeling systems are high-performance, capable of detecting complex patterns and hidden relationships in data. Thanks to their ability to learn continuously, they are constantly improving their performance.
- Improving the customer experience: machine learning makes it possible to offer perfectly targeted content, chatbots or adaptive interfaces, for example. The result is a better customer experience.
Nevertheless, to be as effective as possible, machine learning requires a very large quantity of high-quality, regularly-updated data. But it also requires constant technical and algorithmic evolution, relevant interpretation of results and knowledge of the regulations governing data use.
It's a complex field requires specialized expertise (technical knowledge, skilled talent) and adapted equipment (software, powerful servers, cloud services). It can be costly in terms of resources and time.
Boost Machine Learning efficiency and cut costs: our solutions
For optimum machine learning, upstream data processing is essential. Once again, this requires time and resources. For this reason, many companies choose to entrust these delicate and crucial tasks to a specialized external company. Experts in customer relations, Vivetic Group prepares your data in order to maximize machine learning of your IT systems.
Outsourcing the data labeling process
To be able to learn autonomously from data, a machine needs to be "trained". To do this, the human intervenes by assigning labels to the data it is going to analyze, so that it learns to distinguish and categorize them. This is called data labeling or data labeling.
This step is essential to make machine learning effective and efficient. Vivetic Group's teams have at their disposal a specialized expertise We offer you a wide range of services, not only in labelling, but also in terms of advanced infrastructures and qualified human resources. It also enables you to adapt your needs to the seasonality or evolution of your business.
Outsourcing data processing
We take care of processing your data in its entirety. You don't have to worry about recruiting qualified talent, regularly training your staff in technical developments, acquiring and maintaining equipment or regularly updating your database. We take care of it all.
Our teams, some of whom are specially dedicated to data labeling, are experienced and trained in the latest technologies and best practices. Data collection, sorting and analysis hold no secrets for us.
Vivetic Group guarantees quality, relevant and up-to-date data, to efficiently feed machine learning.
Outsourcing data processing: enhanced machine learning
Machine learning gives you an undeniable competitive edge on the market: it enables you to implement an artificial intelligence solution that will frees you from time-consuming tasks, improves productivity and greatly simplifies decision-making.
However, the process is effective if the data is of sufficient quantity and quality. The data must also be correctly labeled to enable the modeling system to learn and improve. Vivetic Group puts its skills and know-how to support your development.
Would you like to implement an artificial intelligence solution to automate certain time-consuming tasks, improve your productivity or simplify your decision-making processes?
