AI

Artificial Intelligence for businesses that works is made up not only of technology, but also of the right methodology, the right approach, experience based on constant comparison with the market, and the solutions best suited to the individual organization.

From all these ingredients comes Var Group's store of predictive-discriminative AI and generative and conversational AI applications, characterized by the highest accuracy in predicting events or outcomes, and ensuring the achievement of business goals.

What are the principles that make this growth in accuracy possible?

• data-driven: to work properly, Artificial Intelligence does not need a priori business hypotheses, but rather uses information derived from data or concealed in them
  
  

• power: performance continuously improves, in a measurable way, both experimentally and in the field
  

• extracting value from complexity: AI is able to grasp non-obvious relationships, which may be too complicated or recondite to be grasped by even the most experienced human rules.
  

• dynamism: artificial intelligence solutions create a system capable of self-learning, because it metabolises the data it is fed.
  

What mix of ingredients enables Artificial Intelligence to be truly effective?

• Business knowledge: understanding of business processes and related dynamics;
  
  
• Analytical skills: robust methodology and ability to create and maintain models;
  
  
• Software tools and algorithms for automating solutions
  
  
• Collaboration between diverse skills (analytical/business) in the team
  
  In addition to these factors, for AI projects to be successful, it is crucial to adopt the right methodology to maximise conformity with business objectives.
  

Our expertise brings unprecedented results in different sectors, from banking and insurance to manufacturing, large-scale retail (GDO), and food.
An Artificial Intelligence that, depending on the need, takes on the connotations of Mentorship, Advisory, Outsourcing, or training at our Academy, to train people in the company to take the greatest possible advantage of the most advanced technological tools.