AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. The next section examines a fraud detection example to show how Tecton and SageMaker accelerate both training and real-time serving for a production AI system.

ML 96

ML ML AWS AI 96

Flipboard

MAY 30, 2025

Non-conversational applications offer unique advantages such as higher latency tolerance, batch processing, and caching, but their autonomous nature requires stronger guardrails and exhaustive quality assurance compared to conversational applications, which benefit from real-time user feedback and supervision. Puneet Sahni is Sr.

AI 157

AI AI AWS ML 157

O'Reilly Media

NOVEMBER 19, 2024

What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s. See the excellent talk “ Systems That Learn and Reason ” by Frank van Harmelen for more exploration about hybrid AI trends.

Database 131

Database Natural Language Processing AI AI 131

Pickl AI

DECEMBER 4, 2023

Imagine this: we collect loads of data, right? Data Intelligence takes that data, adds a touch of AI and Machine Learning magic, and turns it into insights. It’s not just about having data; it’s about turning that data into real wisdom for better products and services. These insights?

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Heartbeat

JANUARY 9, 2024

This is brought on by various developments, such as the availability of data, the creation of more potent computer resources, and the development of machine learning algorithms. Deployment : The adapted LLM is integrated into this stage's planned application or system architecture.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 52

The MLOps Blog

APRIL 17, 2023

Of course, this would be helpful for them to build robust and high-performing machine learning models. They can’t be sure that a trained model (or models) will generalize to unseen data without monitoring and evaluating their experiments. Varying workflows so users can decide what they want to track. – YouTube

Data Scientist 52

Data Scientist ML ML Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 12, 2024

There are various technologies that help operationalize and optimize the process of field trials, including data management and analytics, IoT, remote sensing, robotics, machine learning (ML), and now generative AI. Multi-source data is initially received and stored in an Amazon Simple Storage Service (Amazon S3) data lake.

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AWS AI AI Data Lakes 113