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Tag: Continuous Delivery

7 Steps to Mastering MLOPs – KDnuggets

Image by Author  Many companies today want to incorporate AI into their workflow, specifically by fine-tuning large language models and deploying them to production....

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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. ...

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator | Amazon Web Services

This post was written in collaboration with Ankur Goyal and Karthikeyan Chokappa from PwC Australia’s Cloud & Digital business. ...

Unlocking the Power of Containers: Exploring the Top 20 Docker Containers for Every Development Need

Introduction Docker containers have emerged as indispensable tools in the fast-evolving landscape of software development and deployment, providing a lightweight and efficient way to package,...

Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence | Amazon Web Services

The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for...

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...

Apache Kafka and Apache Flink: An open-source match made in heaven – IBM Blog

Apache Kafka and Apache Flink: An open-source match made in heaven - IBM Blog <!----> ...

Operationalize and automate FinOps with Apptio Cloudability and IBM Turbonomic – IBM Blog

Operationalize and automate FinOps with Apptio Cloudability and IBM Turbonomic - IBM Blog <!----> ...

Unify Batch and ML Systems with Feature/Training/Inference Pipelines – KDnuggets

Sponsored Content  By Jim Dowling, Co-Founder & CEO, Hopsworks   This article introduces a unified architectural pattern for building both Batch and Real-Time machine learning (ML)...

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...

The Importance of Monitoring as Code for DevOps Teams

The Importance of Monitoring as Code for DevOps TeamsIn today's fast-paced and highly competitive digital landscape, DevOps teams play a crucial role in ensuring...

Ledger Live Monorepo Project: Part 1 – Problematics (Make it Pain) | Ledger

In this blog post series, Valentin De Almeida, a Ledger Live developer, talks us through the Ledger Live codebase evolution over the years. In...

Use Amazon SageMaker Model Card sharing to improve model governance | Amazon Web Services

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by...

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