Dataconomy

APRIL 3, 2025

He spearheads innovations in distributed systems, big-data pipelines, and social media advertising technologies, shaping the future of marketing globally. In 2015, seeking greater challenges, he transitioned to the marketing technology domain, marking a pivotal career shift. His work today reflects this vision.

Big Data 91

Big Data Big Data Machine Learning Machine Learning 91

AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.

ML 101

ML ML AWS Data Pipeline 101

AWS Machine Learning Blog

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. An expert in AI/ML and generative AI, Ameer helps customers unlock the potential of these cutting-edge technologies.

AWS 106

AWS AI AI SQL 106

AWS Machine Learning Blog

OCTOBER 23, 2024

At its core, Amazon Bedrock provides the foundational infrastructure for robust performance, security, and scalability for deploying machine learning (ML) models. The serverless infrastructure of Amazon Bedrock manages the execution of ML models, resulting in a scalable and reliable application.

AI 84

AI AI AWS Database 84

IBM Journey to AI blog

AUGUST 11, 2023

Both computer scientists and business leaders have taken note of the potential of the data. Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. MLOps is the next evolution of data analysis and deep learning. What is MLOps?

Data Science 68

Data Science Machine Learning Machine Learning ML 68

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. He currently is working on Generative AI for data integration. Clay Elmore is an AI/ML Specialist Solutions Architect at AWS. He is the author of the upcoming book “What’s Your Problem?”

Database 157

Database AWS ETL SQL 157

Snorkel AI

JUNE 22, 2023

We were ultimately acquired about six-and-a -half years ago now, at the very end of 2015. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. The macro view will not be surprising.

Data Quality 52

Data Quality ML ML AI 52