Artificial Intelligence (AI) is a transformative technology that has recently been generating unprecedented enthusiasm due to the impact produced by applications such as ChatGPT, Dall-E, Stable Diffusion, Synthesia, DeepL, among other AI services that are used on a daily basis. by end users in free modalities and/or in service modality at affordable costs. Despite this, there is still a small percentage of companies that implement this technology to make their businesses more efficient. In Peru, for example, only 7% of public institutions stated that they use Artificial Intelligence in their work, according to a survey carried out by the National Artificial Intelligence Strategy Committee (PCM, 2021-2026). In the case of Latin America, according to the Global AI Adoption Index 2022 (Morning Consult) 29% of companies have implemented AI projects, and 43% are exploring their use.
Given this scenario, Roberto Igei, Head of B2B digital products at Movistar Empresas, explains: “The adoption of AI has a direct impact on cost improvement by optimizing routine processes, it helps to offer an improvement in the customer experience using the processing of natural language, and even allows the creation of new products and services based on correlated data and consumption predictions. In Peru and Latin America, important advances have been made in the development of AI, through public and private initiatives, focused on various sectors, this should continue to be encouraged.”
The great technological advances achieved recently with Machine Learning (ML) and Deep Learning (DL) techniques have generated interest in the intensive use of AI in various use cases (in various industries) for the following years. In this regard, Igei explains what are the factors to be considered by Peruvian companies to continue promoting the use of this technology:
1. Technological maturity: With the progress achieved in software development techniques, a greater improvement in previous algorithms and models is being achieved at an accelerated rate, which are later replaced by other versions developed with better techniques and technologies.
2. Technology improvements: Today we have a greater availability of processing and storage capacity at a lower cost, with a business model that facilitates access either in the form of monthly service or pay per use. Both large and small companies benefit from these improvements to be able to develop their projects in less time and with greater availability of technological resources.
3. Democratization of computing and programming skills: broad access to computing capabilities and open programming communities that speed up software development through collaboration between programmers.
4. Further specialized education: Offer the work team access to knowledge about AI with structured and current content, through access to a wide variety of courses and specialization programs such as the one offered at the Innovation Academy, Movistar’s e-learning training program Companies (https://descubrir-movistar.com/biblioteca/11), among other educational platforms.
5. Data availability and machine learning: As a result of digital transformation and the more intensive use of AI, a vast variety of data is constantly being generated, produced at unprecedented speed and volume. As the data is the food of the AI, this enormous volume that is available can feed the AI models so that they can learn the rules by themselves and produce new knowledge (and not the other way around).