In Capria’s workshop with this tech provider, AWS presented its generative AI stack, leveraging foundation models for chatbots, virtual assistants, and data insights. Amazon Bedrock was highlighted for simplifying the development and scaling of generative AI applications with robust customization features. AWS Trainium, a specialized chip for generative AI training, offers significant cost savings and performance improvements.

The session introduced Amazon Q, an expert assistant for AWS tasks, including generative SQL in Amazon Redshift and AI-powered code suggestions. AWS also emphasized startup support through AWS Activate, providing benefits like the CTO Fellowship, Revenue Acceleration Program, and access to AWS Marketplace.

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About the Speaker

Marcos Boaglio is a distinguished AWS Solutions Architect with an emphasis on Generative AI & Data Science. As a seasoned leader and consultant, he is renowned for delivering innovative, customer-centric solutions through the powerful convergence of Generative AI, Data Science/Analytics, and Cloud technologies. In his role as a Sr. Machine Learning Solutions Architect at AWS, Marcos is instrumental in aiding US startups that create and fine-tune large language models, helping them harness the vast capabilities of AWS to foster the creation of new products, services, and experiences that spur growth and differentiation.

In addition to his corporate pursuits, Marcos is a respected Professor at the Instituto Tecnológico de Buenos Aires. Here, he imparts his profound knowledge in the field, teaching “Tools for Processing Big Data Workloads” within the Data Science MSc program. Driven by a passion for knowledge transfer, he is deeply invested in nurturing the next generation of aspiring data scientists and engineers.

Marcos boasts an impressive academic portfolio, including an MSc in Data Science, an MBA, and a BSc in Informatics. Further reinforcing his stature in the field, he is an AWS AI/ML Certification Lead Subject Matter Expert and holds seven AWS certifications. Fluent in English, Spanish, and Portuguese, Marcos brings a global perspective to his work, contributing to his wide-ranging impact in the realm of data science and AI.