AI News

JANUARY 31, 2025

They must demonstrate tangible ROI from AI investments while navigating challenges around data quality and regulatory uncertainty. Its already the perfect storm, with 89% of large businesses in the EU reporting conflicting expectations for their generative AI initiatives. Whats prohibited under the EU AI Act?

Data Quality 305

Data Quality Big Data AI AI 305

IBM Journey to AI blog

OCTOBER 12, 2023

But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

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Data Scientist Metadata Responsible AI Explainability 234

AWS Machine Learning Blog

FEBRUARY 21, 2025

Rajesh Nedunuri is a Senior Data Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team. He specializes in designing, building, and optimizing large-scale data solutions.

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LLM Large Language Models Natural Language Processing Machine Learning 111

Pickl AI

FEBRUARY 17, 2025

Introduction: The Reality of Machine Learning Consider a healthcare organisation that implemented a Machine Learning model to predict patient outcomes based on historical data. However, once deployed in a real-world setting, its performance plummeted due to data quality issues and unforeseen biases.

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Machine Learning Algorithm Explainability Data Quality 52

The MLOps Blog

JUNE 27, 2023

Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. Delta Lake Delta Lake is an open-source storage layer that provides reliability, ACID transactions, and data versioning for big data processing frameworks such as Apache Spark.

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Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

NOVEMBER 14, 2024

It includes processes for monitoring model performance, managing risks, ensuring data quality, and maintaining transparency and accountability throughout the model’s lifecycle. It helps prevent biases, manage risks, protect against misuse, and maintain transparency.

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ML Machine Learning Auto-complete Auto-classification 89

AWS Machine Learning Blog

JANUARY 26, 2024

After your generative AI workload environment has been secured, you can layer in AI/ML-specific features, such as Amazon SageMaker Data Wrangler to identify potential bias during data preparation and Amazon SageMaker Clarify to detect bias in ML data and models.

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Generative AI LLM ML AI 137