AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. In addition to several exciting announcements during keynotes, most of the sessions in our track will feature generative AI in one form or another, so we can truly call our track “Generative AI and ML.”

AWS 132

AWS ML ML AI 132

AWS Machine Learning Blog

JUNE 13, 2023

The combination of large language models (LLMs), including the ease of integration that Amazon Bedrock offers, and a scalable, domain-oriented data infrastructure positions this as an intelligent method of tapping into the abundant information held in various analytics databases and data lakes.

Database 88

Database SQL AWS AI 88

AWS Machine Learning Blog

NOVEMBER 12, 2024

In entered the Big Data space in 2013 and continues to explore that area. He is actively working on projects in the ML space and has presented at numerous conferences including Strata and GlueCon. He is focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies.

SQL 102

SQL AWS AI AI 102

AWS Machine Learning Blog

JANUARY 4, 2024

In entered the Big Data space in 2013 and continues to explore that area. He is actively working on projects in the ML space and has presented at numerous conferences including Strata and GlueCon. Enterprise Solutions Architect at AWS, experienced in Software Engineering, Enterprise Architecture, and AI/ML.

SQL 137

SQL Database AI AI 137

Pickl AI

FEBRUARY 23, 2025

Microsoft Azure HDInsight Azure HDInsight is a fully-managed cloud service that makes it easy to process Big Data using popular open-source frameworks such as Hadoop, Spark, and Kafka. Key Features : Integration with Microsoft Services : Seamlessly integrates with other Azure services like Azure Data Lake Storage.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52