The new technologies of Artificial Intelligence and Machine Learning offer an optimal solution to transform the mare magnum of Big Data into useful knowledge for business. But what are the best tools for companies?
First of all, it is good to clarify the meaning of artificial intelligence and the possible fields of application within the company.
What are AI and Machine Learning?
AI indicates a set of machines and programs that simulate human reasoning and skills in solving problems or performing tasks. In essence, they are the technologies that allow you to automate operational and decision-making processes based on analytics. Indeed, artificial intelligence rests all its cognitive ability on algorithms that process large amounts of data in search of hidden insights to answer certain questions or perform precise actions.
Machine Learning is a subdomain of Artificial Intelligence and indicates the automatic learning function of a system, not programmed in advance. Technology (hardware or software) learns to perform a certain function directly from experience, based on information collected in the field and always updated. For example, a search engine uses Machine Learning techniques to offer results more and more relevant to the query. The collaborative robots used in the industry use the automatic learning functions to understand the operations to be performed or the paths to be followed within the factories.
How to bring intelligence to the company
Artificial intelligence, understood as the ability to analyze data to suggest decisions or automate processes, today represents a competitive must for any business.
However, the ability to bring intelligences (i.e. algorithms, machine learning functions, automatisms) into an office or plant, applying them correctly to company workflows and placing them in the specific context, is absolutely not obvious.
First of all, a solid data management infrastructure must be built to effectively manage the information necessary for the analyzes and to develop the calculation algorithms for solving the problems in question.
Therefore it is necessary to provide for the timely distribution of intelligence on computers and company machines, with an approach devoted to continuous improvement to gradually refine the reliability of the algorithms.
And it is precisely here that the Machine Learning tools come into play for updating and maintaining the intelligences.
Main Machine Learning features
The optimal set of features for a successful Ai project should allow you to:
- develop and train over time the calculation models for specific applications, dynamically selecting the pertinent data;
- automatically clean, organize and update the available data lake;
- automatically identify any anomalies or defects in the mathematical models and analytical processes.
In this scenario of complexity, we recommend the use of an all-inclusive platformfor the management of corporate initiatives of Artificial Intelligence and Big Data Analytics that also incorporates all the aforementioned Machine Learning features.
This option proves to be particularly effective in order to correct and maintain algorithms based on experience, in a virtuous cycle of continuous improvement to achieve corporate objectives.
Discover our Artificial Intelligence Platform, request a demo.