Author name: Marcelo Acosta

As organizations increasingly migrate to public cloud infrastructures, the quest for cost optimization becomes paramount. Managing expenses related to Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) is crucial to maintain a balance between performance and cost-effectiveness. With cloud spending growing rapidly, optimizing these costs can lead to significant savings and more […]

Understanding AWS Tools for Practical Applications: A Look at Amazon Textract Technology is constantly evolving, and it’s important to know about different tools that can help with real-world tasks, especially when it involves machine learning. A recent blog post on AWS’s Machine Learning Blog, written by Dhiraj Thakur and Rishabh Yadav, is a good example.

When you set up a web server, whether for personal projects or for professional web applications, understanding how your server handles different types of requests is crucial. This knowledge becomes especially pertinent when dealing with Nginx, a popular web server used for its high performance and flexibility in hosting multiple websites on a single machine.

The evolution of generative AI agents, capable of human-like interactions, has significantly impacted financial services. This technology enables the orchestration of calls to foundation models and tools like Amazon Bedrock, DynamoDB, Kendra, and Lex, creating autonomous agents for various applications. A detailed overview of this technology is available in the AWS Machine Learning Blog’s article,

Delivering exceptional customer experience is pivotal for brand differentiation and growth. According to a Forrester report, adopting a customer-first approach significantly impacts an organization’s financial health. Contact centers, crucial touchpoints for customer interaction, face the challenge of enhancing customer experience while managing resources efficiently. The Role of Generative AI and Amazon SageMaker Canvas Amazon SageMaker

In recent years, large language models (LLMs) have captured the attention of researchers, developers, and businesses alike. These powerful systems, like the LLaMA series from Meta, GPT models from OpenAI, and various others, are designed to process and generate human-like text. In this article, we will walk through the fundamentals of LLMs, how they work,

In today’s data-driven business landscape, generative artificial intelligence (AI) is revolutionizing how enterprises interact with their customers. A significant area of transformation is in marketing, where personalization has become a key differentiator. Amazon Personalize, combined with generative AI, offers groundbreaking possibilities for tailoring marketing solutions to individual consumer preferences. This article, based on a post

Amazon SageMaker Canvas has introduced significant enhancements in its time-series forecasting capabilities, offering a faster and more intuitive way to create machine learning models. This advancement, detailed in a post by Nirmal Kumar and team on the AWS Machine Learning Blog, positions SageMaker Canvas as a pivotal tool for various business applications, from inventory management