By CIOReview | Wednesday, August 28, 2024

Cloud-based services drive GenAI adoption in Latin America, enabling advanced AI use for data processing and customer interactions, enhancing efficiency and innovation across industries.

FREMONT, CA: Artificial intelligence (AI) development began in the early 1950s, but limitations in computer power and algorithms hindered its progress. Large organizations, including academic institutes, significant technology and financial services corporations,& the public sector, needed more access to AI due to its excessively high cost, scarcity of skilled workers, and poor scalability.

AI has advanced significantly in recent years, particularly during and after the pandemic, due to cloud computing, which offers accessibility, usability, and scalability.

Chatbots are the most common use cases created to mimic human conversations. Many businesses have launched chatbots to meet the growing need for customer support through digital channels. The majority of chatbots still use preset replies and regulations. On the other hand, large language models (LLMs) have lately been trained to comprehend client inquiries and reply naturally—much quicker than the perfect human agent. These models learn from interactions and feedback, increasing response accuracy and usefulness.

These sophisticated chatbots utilize what the industry is now calling Generative AI (GenAI), a subset of AI that lets users create presentations, texts, photos, videos, and other outputs in response to voice commands or written inputs from LLMs. Software companies have begun using GenAI in their commercial and consumer apps. The need for applications like face recognition, virtual assistants, productivity boosters, and recommendation algorithms is increasing quickly as other types of AI become more prevalent outside of GenIA.

However, the AI-driven revolution presents a problem for developing nations because businesses are still in the early stages of technological maturation and are more vulnerable to volatile political and economic environments and limited purchasing power. Most companies in Latin America lack the infrastructure necessary to adopt the data frameworks—such as data governance, data quality, data security, data architecture, data management platforms, and data operations—on which AI depends. Budgetary restrictions, a lack of workers with experience in AI, and erratic political or economic conditions all work together to hinder the use of AI.

Cloud service providers are already providing helpful solutions for the innumerable businesses that prioritize AI but are having difficulty developing tangible projects. Cloud computing providers in Latin America have made significant investments in AI services. They are prepared to meet the demands of business customers who must incorporate AI into their apps and processes.