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.

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AWS ML ML Data Pipeline 94

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 75

Data Science Machine Learning Machine Learning ML 75

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 AI AI ML 52

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 AI AI ML 52

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 AI AI ML 52

DataRobot Blog

APRIL 1, 2018

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. 2) Line of business is taking a more active role in data projects.

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Analytics Analytics Data Preparation Augmented Analytics 40

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?”

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Database AWS ETL SQL 112