Tag: Elizabeth Fuentes

AWS Developer Day 2025, held on February 20th, showcased how to integrate responsible generative AI into development workflows. The event featured keynotes from AWS leaders including Srini Iragavarapu, Director Generative AI Applications and Developer Experiences, Jeff Barr, Vice President of AWS Evangelism, David Nalley, Director Open Source Marketing of AWS, along with AWS Heroes and technical community members. Watch the full event recording on Developer Day 2025. Applications are now open through March 6th for the 2025 AWS Cloud Clubs Captains program. AWS Cloud Clubs are student-led groups for post-secondary and independent students, 18 years old and over. Find a club near you on our Meetup page. Last week’s launches Here are some launches that got my attention: Amplify Hosting announces…

In February 2024, we announced plans to expand Amazon Web Services (AWS) infrastructure in Mexico. Today, I’m excited to announce the general availability of the AWS Mexico (Central) Region with three Availability Zones and API code mx-central-1. This new AWS Region is the first AWS infrastructure Region in Mexico and adds to our growing presence in Latin America. The AWS Region in Mexico represents a significant commitment to the country’s digital future. AWS is planning to invest more than $5 billion in Mexico over 15 years. This AWS Region will provide customers with advanced and secure cloud technologies, including cutting-edge artificial intelligence (AI) and machine learning (ML) capabilities with purpose-built processors, while supporting Mexico’s growing digital economy. With this effort,…

As a data scientist, I’ve experienced firsthand the challenges of making machine learning (ML) accessible to business analysts, marketing analysts, data analysts, and data engineers who are experts in their domains without ML experience. That’s why I’m particularly excited about today’s Amazon Web Services (AWS) announcement that Amazon Q Developer is now available in Amazon SageMaker Canvas. What catches my attention is how Amazon Q Developer helps connect ML expertise with business needs, making ML more accessible across organizations. Amazon Q Developer helps domain experts build accurate, production-quality ML models through natural language interactions, even if they don’t have ML expertise. Amazon Q Developer guides these users by breaking down their business problems and analyzing their data to recommend step-by-step…

Today, Amazon Connect introduces a set of new features that help businesses enhance their contact center operations through generative AI, advanced security features, and streamlined bot management. These innovations help businesses deliver better customer experiences by creating more time and space for meaningful human interactions, while maintaining security and compliance. Contact center managers continually face challenges in optimizing self-service resolution rates, evaluating agent performance efficiently, and maintaining data privacy compliance. Additionally, creating and managing conversational AI experiences often requires specialized expertise and complex integrations across multiple services. To address these challenges, Amazon Connect introduced key features such as generative AI–powered customer segmentation for targeted campaigns, native WhatsApp Business messaging for omnichannel support, secure collection of sensitive customer data in chat…