Artificial Intelligence (AI) is one of the most impactful technologies of our time, transforming the way companies operate, they innovate and meet the needs of customers. Among the various aspects of the tool, Generative Artificial Intelligence (Gen AI) has gained prominence for its ability to create, learn and evolve autonomously. This dissemination has made it essential for companies to understand when to adopt this technology and, equally important, when choosing other aspects of this same resource.
Since its emergence, Generative AI has attracted attention for its promise of innovation and adaptability. The enthusiasm, meanwhile, can lead to improper use, where their benefits are overstated or applied inappropriately, considering that, in a mistaken way, may this be a definitive solution for all problems
Inadequate use can limit the progress and effectiveness of other technological approaches. It is important to remember that this technology should be integrated strategically to achieve the best results, taking into account that it should be combined with other techniques to achieve a greater potential for success
Determine if the tool is useful for a project, it is essential to assess the situation in its specificity and seek careful planning. Partnerships with specialists can assist in the execution of Proofs of Concept (POC) or Minimum Viable Products (MVP), ensuring that this is not just an attractive solution, but also suitable
Gen AI is particularly effective in areas such as content creation, generation of new ideas, conversational interfaces and knowledge discovery. However, em caso de tarefas como segmentação/classificação, anomaly detection and recommendation systems, for example, machine learning methods can be more effective
Also, in situations like forecasts, strategic planning and autonomous systems, other approaches may yield better results. Recognizing that Gen AI is not the universal solution for all needs leads to the coherent and successful implementation of other emerging technologies
Examples such as the integration of rule-based models for chatbots with Gen AI or the combined use of machine learning and Gen AI for segmentation and classification, they prove that combining the tool with others can expand its applications
The integration with simulation models, in turn, can speed up processes, while the combination with graphic techniques can improve knowledge management. In summary, the flexibility of this approach allows adapting the technology to the specific needs of each company.
A recent study by Google Cloud revealed that 84% of decision-makers believe that Generative AI will help organizations access insights more quickly, and 52% of non-technical users already use it to gather information. These data highlight the importance of a strategic adoption of the resource
Yes. GenIA represents a significant milestone in the field of artificial intelligence, because it offers new possibilities for data generation and processing. However, it is necessary to consider that its potential can only be fully realized when there is a clear understanding of its limitations and ideal applications. Only then can companies maximize the value of the tool and use it for their own benefit
