AI made to scale: how does it work?

scalabilità ai

Companies will play the next games in the field of artificial intelligence, so it is important to appreciate this technology at 360°, in order not to be caught unprepared and face the changes that are already underway with the right tools.

In this context, the scalability of AI (artificial intelligence) plays a major role, where this is indeed one of the pillars at Humable. Partners who have relied on our services are strategically scaling artificial intelligence, with a return on investment nearly three times higher than in the past.

What is meant by the scalability of artificial intelligence?


In computer science, telecommunications, software engineering and many other disciplines, including AI, the concept of scalability has erupted. This term indicates the ability of a system to increase or decrease at scale, according to different needs or requirements. A system equipped with these characteristics is defined as scalable.

Referring to software, scalability can be understood as the ability to grow on three dimensions:

  • load scalability: a software is able to increase its performance depending on the overall computing power dedicated to its execution;
  • geographic scalability: a geographically scalable system keeps its usability and usefulness intact, regardless of the physical distance of resources and users;
  • administrative scalability: an administratively scalable system maintains its manageability, regardless of the number of organizations that use it.

Load scalability, in turn, is divided into:

  • horizontal scalability, which involves the addition of other machines in load distribution;
  • vertical scalability, which refers to increasing the processing capacity of a single machine.

How to improve a company’s competitive agility with the integration of artificial intelligence

Companies have the opportunity to improve competitive agility by integrating artificial intelligence into business processes, which are, in turn, faster and leaner.

Our partners, who have strategically scaled AI, have improved their performance by 32%. Success is to be found by focusing on three key elements:

  • a solid foundation of relevant data;
  • maximum attentiveness and willingness of managers to implement artificial intelligence strategically in every area and level of the organization;
  • total involvement of diversified and multidisciplinary teams dedicated to AI.

Those who manage to carry out these steps have the ability to adopt strategic choices, supported by AI solutions, far more quickly than competitors. More pilot projects are therefore launched and can be brought to scale in a shorter time frame.

How to manage data correctly with AI

The flow of data that every company processes on a daily basis is practically unlimited. It is estimated that 90% of the data currently present in the world has been generated in the last 10 years. This means that companies must equip themselves with adequate tools to manage and analyze this data, from which to extract the most useful and relevant information.

From this perspective, the scalability of AI must be comprehended, capable of identifying the most important data for each company, defined as critical, or that most relevant in certain circumstances. Depending on the case, the likes of marketing, financial, geographical or customer data may be more relevant. Scalable artificial intelligence offers the most appropriate tools to collect and extract data from different sources and exploit this correctly.

The importance of teamwork in AI

To scale efficiently, it is necessary to rely on a multidisciplinary team, which is obviously equipped with various specialized figures, such as data scientists and machine learning engineers. In this regard, Humable has always highlighted the value of the team in the era of digitization, capable of moving as one person to reach set goals.

The most performing companies, or those inclined to positive change, do not rely on a single artificial intelligence expert. Rather, they involve the right talent, so that they can collaborate in synergy and combine their skills for even more professional and performing results. Multidisciplinarity is certainly an added value for every company that allows businesses to face any change in the right spirit or seize new opportunities quickly. Companies themselves must move to create a data-based corporate culture and initiate change capable of generating tangible added value.

It is important to understand not only what to scale in terms of AI, but also how to do so. The concept of AI scalability is broad, as it’s not simply a question of speed or money. In fact, it is necessary to understand in which direction to move and how to align investments in the right place to initiate a large-scale change.

If you wish to learn more about the dynamics of AI, we at Humable are more than ready to assist.

Contact us!



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