Zephyrnet Logo

Tag: CI/CD Pipeline

Deploying Machine Learning Models: A Step-by-Step Tutorial – KDNuggets

Image by author  Model deployment is the process of trained models being integrated into practical applications. This includes defining the necessary environment, specifying how input...

Top News

Modernizing data science lifecycle management with AWS and Wipro | Amazon Web Services

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. ...

How smava makes loans transparent and affordable using Amazon Redshift Serverless | Amazon Web Services

This is a guest post co-written by Alex Naumov, Principal Data Architect at smava. smava GmbH is...

Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services | Amazon Web Services

In the last few years Large Language Models (LLMs) have risen to prominence as outstanding tools capable of understanding, generating and manipulating text with...

Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD | Amazon Web Services

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is...

What Are the Best Practices for Deploying PySpark on AWS?

Introduction In big data and advanced analytics, PySpark has emerged as a powerful tool for processing large datasets and analyzing distributed data. Deploying PySpark on...

Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker | Amazon Web Services

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative...

How Veriff decreased deployment time by 80% using Amazon SageMaker multi-model endpoints | Amazon Web Services

Veriff is an identity verification platform partner for innovative growth-driven organizations, including pioneers in financial services, FinTech, crypto, gaming, mobility, and online marketplaces. They...

In observability, “automation” is spelled I-N-S-T-A-N-A – IBM Blog

In observability, “automation” is spelled I-N-S-T-A-N-A - IBM Blog <!----> ...

Harnessing Automation in DevOps for Successful AI Models

DevOps is a collaborative approach that combines software development and operations to streamline the software delivery process. By breaking down silos and fostering...

Software Bill of Materials is Crucial for AI-Driven Cybersecurity

AI technology has had a tremendous impact on the cybersecurity profession. More organizations are investing in it than ever, especially as they struggle to...

Software Supply Chain Strategies to Parry Dependency Confusion Attacks

"What's in a name? That which we call a roseBy any other name would smell as sweet."— Romeo and Juliet, Act 2, Scene 2When...

MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD | Amazon Web Services

Maintaining machine learning (ML) workflows in production is a challenging task because it requires creating continuous integration and continuous delivery (CI/CD) pipelines for ML...

Latest Intelligence

spot_img
spot_img