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Tag: ML Models

It’s 10 p.m. Do You Know Where Your AI Models Are Tonight?

If you thought the software supply chain security problem was difficult enough today, buckle up. The explosive growth in artificial intelligence (AI) use is...

Data governance in the age of generative AI | Amazon Web Services

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach....

Collection of Free Courses to Learn Data Science, Data Engineering, Machine Learning, MLOps, and LLMOps – KDnuggets

Image by Author  Data has become a valuable asset for businesses, governments, and individuals in today's rapidly evolving digital landscape. With the rise of...

How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker | Amazon Web Services

This is a guest post written by Axfood AB.  In this post, we share how Axfood, a...

Everything You Need to Know About MLOps: A KDnuggets Tech Brief – KDnuggets

A TECH BRIEF BY KDNUGGETS AND MACHINE LEARNING MASTERY Image created by Author with Midjourney  KDnuggets is thrilled be able to introduce our latest resource offering...

A Comprehensive Guide to MLOps: A KDnuggets Tech Brief – KDnuggets

A Comprehensive Guide to MLOps: A KDnuggets Tech Brief In recent years, the field of machine learning has witnessed tremendous growth and advancement. Organizations across...

7 Free Kaggle Micro-Courses for Data Science Beginners – KDnuggets

Image by Author  Do you remember that one data science course you signed up for but never got around to finishing? Well, you’re not...

Streamline diarization using AI as an assistive technology: ZOO Digital’s story | Amazon Web Services

ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures. It makes globalization...

Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints | Amazon Web Services

Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of models on a single...

Detect anomalies in manufacturing data using Amazon SageMaker Canvas | Amazon Web Services

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable...

How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker | Amazon Web Services

This post is co-written with Santosh Waddi and Nanda Kishore Thatikonda from BigBasket. BigBasket is India’s largest...

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