Head of Development at Invillia points out that the adoption of AI solutions in digital products must consider business objectives, data availability, specialized workforce, and digital partners.
Personalized customer service, quick responses, content creation support, and easy navigation (on websites or applications) are just a few examples of how artificial intelligence (AI) has transformed the market in recent years, becoming a key factor in gaining agility and competitiveness. According to a research by IBM, released in September 2022, global adoption of AI has steadily grown worldwide. In Brazil, 41% of companies indicated that they have actively adopted the technology.
This scenario has put AI solutions in the spotlight for many leaderships, and as a result, they are increasingly present in the development of digital products. However, despite being considered a business accelerator, in the rush to adapt to the market and advance in the technology race, many companies are rushing into implementations and not leveraging their investments effectively. This is what Oswaldo Maurício Neto, Head of Technology at Invillia, points out.
“We are moving away from adopting AI just for the sake of adoption – something that companies were doing just to keep up with the competition. In many cases, this required efforts in areas that did not make sense for the business, not generating the return that companies were expecting,” explains the expert. To help organizations make the most of the benefits that AI can offer, the expert highlights four fundamental points for successful implementation of the technology, especially in the development of digital platforms or applications.
- Objective definition
In recent months, a common mistake made by companies, in the expert’s view, is not understanding what the main challenge they want to solve through AI is. He points out that this lack of understanding about the business needs results in the solution alone not being able to solve certain problems, even if the applied technology is state-of-the-art.
“Having clarity about what needs to be solved using AI is the guiding thread for the development of a project. It may not always be the recommended technology for a particular need, for example. Or, it may need to be adopted in the context of specific methodologies or accompanied by other solutions. All of this can only be known from the definition of the objective,” says the executive.
- Data availability and quality
According to Neto, another challenging factor for companies that are implementing AI solutions in digital products is the quality of data and, in addition, the volume of available information. He explains that by adopting these technologies quickly (in many cases, just to keep up with the competition), companies have set objectives for which they do not have enough data to build a robust project.
He clarifies that data is the foundation for all AI solutions, as it feeds the algorithms that build intelligence as a whole. Therefore, the success of its application is based on the quality and volume of these items. “For the journey to be successful, companies need to heavily invest in data. This allows each model to be trained so that, when accessed by the end consumer, it is suitable, secure, and capable of handling thousands of accesses at the same time,” says Maurício Neto.
- Workforce specialization
The expert also states that, contrary to what many people believe, a significant part of AI solution development is done primarily by scientists, mathematicians, and statistics professionals. “Many professionals in the field end up having their education heavily focused on technology. However, to work with artificial intelligence, in many cases, it is necessary to have a scientific background. This is because it is a field that requires theories, testing, and improvements to reach the final product.”
Therefore, in his view, finding qualified professionals or promoting opportunities for specialization has been one of the challenges in the market and is something that is likely to gain more prominence in discussions on the advancement of AI. In addition to technological expertise, defined objectives, and data availability, a specialized team is a key factor in the development of digital products.
- Digital partnerships
With an understanding of the benefits and areas that need improvement in the AI field, the expert emphasizes that, to achieve desired success, it is essential for companies to seek the best partner to help them develop their digital product. Whether it is to develop a project from scratch or provide support for an ongoing action, he states that partnership with technology companies has a direct influence on the positive outcome of the final product.
Therefore, when looking for a digital partner, he recommends choosing those who understand the business challenges of each company and propose precise solutions based on that. He explains that this is a process that should generate trust, security, and flexibility, even being felt by those who will access the final product – be it a website or an application.
According to the expert’s view, among the most advanced sectors in all of these processes is the agribusiness sector, which uses various solutions capable of predicting harvests and other factors that directly influence productivity. In addition to that, the areas of financial risk prediction and analysis are also ahead compared to other sectors, using various tools to examine the market and each customer. On the other hand, Neto points out that there is still room for other sectors to advance, such as the construction industry. According to him, many delays in deliveries and financial losses could be avoided with the use of AI in this department.
“Technology itself advances rapidly and is already highly developed. But it alone is not enough. A whole chain of procedures must be done and there must be sufficient inputs for business objectives to be achieved. Currently, companies are realizing this and must be even more strategic in the coming years,” says the head of technology.
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