In today’s business landscape, where competitiveness is fiercer than ever, companies are constantly looking for strategies to reduce costs and increase efficiency. In this context, artificial intelligence has emerged as one of the most relevant tools, and the recent migration of OpenAI models to Amazon Nova is not just a technical upgrade, but a strategic response that enhances scalability and efficiency among businesses.
OpenAI models have proven to be powerful, however, their operating costs can be a significant barrier as businesses try to scale their usage. A fee study has revealed that Amazon Nova Pro offers a cost-effectiveness ratio more than three times higher than its competitors, which is crucial for companies handling high-volume applications, such as large-scale customer support or analysis of large volumes of documentation. This cost disparity could represent a disruptive change for many organizations working with extensive data.
The Amazon Nova suite stands out for its diversity, as it is not limited to a single model, but includes several options tailored to different business needs. For example, Amazon Nova Pro is a multimodal model capable of processing text, images, and video, ideal for tasks that require in-depth analysis. On the other hand, Amazon Nova Lite combines multimodal processing with speed, making it perfect for functions like document summarization or translations. Likewise, Nova Micro is distinguished by its low latency, making it extremely effective for real-time applications, such as chatbots.
To maximize the performance of Amazon Nova, companies will need to adapt their ‘prompting’ strategies, that is, how they formulate the instructions. This will involve redefining their current use cases around OpenAI models, breaking down requests into essential components that include the task to be performed, the necessary role, the expected response style, and clear instructions on how it should operate.
One of Amazon Nova’s standout features is its expanded capacity to handle up to 300,000 input tokens, offering companies the opportunity to include more context in their requests. This capacity can translate into more precise and useful responses. Similarly, establishing clear guidelines on the structure and format of the desired output becomes essential, by leveraging the improvements in function calling that Amazon Nova facilitates.
The move towards Amazon Nova marks a significant advancement not only in terms of technology, but also in how companies can use artificial intelligence to enhance their performance. With tangible benefits such as cost reduction, faster response times, and the ability to handle more complex inputs, Amazon Nova emerges as an attractive option for organizations looking to innovate and adapt to a constantly evolving market.
Source: MiMub in Spanish
