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Streamline custom environment provisioning for Amazon SageMaker Studio: An automated CI/CD pipeline approach

AWS Machine Learning Blog

In this post, we explain how to automate this process. By adopting this automation, you can deploy consistent and standardized analytics environments across your organization, leading to increased team productivity and mitigating security risks associated with using one-time images.

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Debunking observability myths – Part 5: You can create an observable system without observability-driven automation

IBM Journey to AI blog

The notion that you can create an observable system without observability-driven automation is a myth because it underestimates the vital role observability-driven automation plays in modern IT operations. Why is this a myth? Reduced human error: Manual observation introduces a higher risk of human error.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Feature Engineering.

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The Future of AI in Quality Assurance

Unite.AI

This article explains how AI in quality assurance streamlines software testing while improving product performance. AI quality assurance (QA) uses artificial intelligence to streamline and automate different parts of the software testing process. Automated QA surpasses manual testing by offering up to 90% accuracy.

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Basil Faruqui, BMC: Why DataOps needs orchestration to make it work

AI News

The operationalisation of data projects has been a key factor in helping organisations turn a data deluge into a workable digital transformation strategy, and DataOps carries on from where DevOps started. Operationalisation needs good orchestration to make it work, as Basil Faruqui, director of solutions marketing at BMC , explains. “If

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning Blog

Technical Info: Provide part specifications, features, and explain component functions. To explore how AI agents can transform your own support operations, refer to Automate tasks in your application using conversational agents. Your main tasks are: Part Identification: Find specific parts based on vehicle details (make, model, year).

DevOps 129
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Best practices for hybrid cloud banking applications secure and compliant deployment across IBM Cloud and Satellite

IBM Journey to AI blog

In this paper, we showcase how to easily deploy a banking application on both IBM Cloud for Financial Services and Satellite , using automated CI/CD/CC pipelines in a common and consistent manner. Details of each docker image is stored in an inventory repository, which is explained in detail in the Continuous Deployment section of this blog.

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