Unlocking New Dimensions: Pimcore Platform Version 2024.2 is Live

Written by Christian Fasching | Jul 3, 2024 12:00:00 PM

Discover the latest enhancements in Pimcore Platform Version Release 2024.2 and catch a sneak peek of Pimcore Studio.

Welcome to the next evolution of the Pimcore platform! The Pimcore Platform Version Release 2024.2 promises to further refine the operational capabilities with new enhancements to the Pimcore Copilot and other core improvements. This release pushes further into streamlining workflows, boosting efficiency, and leveraging the transformative power of AI and automation, making it easier than ever for businesses to manage their digital ecosystems. Join us as we explore how these advancements turn complex data processes into simplified, user-friendly interactions that drive business growth. Stay tuned for an insightful journey through the innovations that redefine what's possible in data management with Pimcore.

For developers and IT professionals eager to learn more about the technical intricacies of Pimcore Platform Version Release 2024.2, we recommend visiting the Pimcore Documentation right away.

Empower The Way You Work: New Automation Actions

Discover the latest suite of automation actions introduced in Pimcore Platform Version 2024.2. These actions harness the power of AI and automation to simplify more complex tasks, freeing up time for businesses to focus on innovation and growth.

Enter Pimcore Copilot: A Game-Changer in Automation

The Pimcore Copilot is your time-saving companion, effortlessly guiding you through the intricacies of content creation across various platforms. This advanced system automates the generation of text variations, ensuring each piece of content is perfectly tailored to meet the specific requirements of different channels. By significantly reducing time to market, Pimcore Copilot boosts your productivity and the quality of the delivered data while maintaining a consistent brand voice.

AI Image-to-Image Action: Upscale Images

Elevate your visual content with the new AI Image-to-Image Action for the Pimcore Copilot. This tool uses AI to enhance image resolution without sacrificing quality, making it perfect for businesses needing to adapt visuals for high-resolution formats across various media platforms. Here’s how it enhances your digital asset management:

High-Quality Upscaling: Utilizes an AI model to magnify images while maintaining sharpness and minimizing pixelation or artifacts.
Batch Processing: Apply the upscale action to multiple images simultaneously, streamlining the preparation of visuals for diverse distribution channels.
Integration with Existing Workflows: Seamlessly fits into your current Pimcore automation workflows, enhancing efficiency without disrupting established processes.
Unleash the potential of the new AI Image-to-Image Action across various applications. Whether for web, print, or mobile, this action ensures that upscaled images preserve clarity and detail, catering to a wide range of publishing needs.

Where upscaled images are needed the most

Publishing on Different Channels: Meet the stringent quality demands of high-resolution print catalogs or large digital displays without quality compromise.
E-commerce Product Images: Enhance product visuals on e-commerce platforms, where higher-resolution images can improve viewer engagement and sales potential.
Archiving and Digital Preservation: Upgrade older, lower-resolution archival images to contemporary standards for detailed examination and preservation.
Content Management Systems (CMS): Automatically enhance user-uploaded images, ensuring consistent quality across your website’s visual content.
Social Media Marketing: Optimize images to meet the specific size requirements of various social media platforms without manual resizing.
Creative and Design Projects: Enable designers to produce high-resolution outputs for large-format media such as posters and banners, maintaining the original image's aesthetic quality.

AI Image to Image: Modify Images (included in showcase bundle)

The Pimcore Copilot is now equipped with an intuitive interface for modifying images through predefined or custom prompts. This action empowers users to make detailed adjustments to images directly within their workflow, enhancing content management and creative projects:

Flexible Image Manipulation: Use structured or customizable prompts to modify images, giving users complete control over the adjustments and enhancements according to specific requirements.
Configurable Parameters: Fine-tune the outcome by specifying additional parameters such as dimensions or excluding specific attributes, ensuring the final image meets exact needs.

What it is useful for

Creative Adaptations: Change the color or style of objects within an image to match thematic or branding requirements, ideal for marketing and design projects.
Content Customization: Adjust images to create visually appealing content that aligns with campaign goals or audience preferences, enhancing engagement and impact.

This action is precious for teams in marketing and creative industries. It allows for rapid, on-the-fly image modifications that keep up with campaign developments and market demands.

Filter Data Objects Based on Condition Action

What previously required programming skills is now available for business users through the newly developed Pimcore Query Language (PQL). Streamlining your data management processes, this automation action allows users to precisely filter data objects within their database, simplifying the way businesses manage and utilize their data:

Easy Configuration with PQL: Employ the user-friendly Pimcore Query Language to specify filtering conditions seamlessly within the interface, ensuring a secure and efficient setup.
Contextual Storage: The filtering results are automatically saved within the execution context, making them easy to access and use in subsequent steps of your data processes.

What is possible with these conditional filters

Data Quality Enhancements: Automatically find and update data objects that are missing certain information, improving data accuracy and completeness.
Enhanced Reporting: Create automatic notifications for critical data points, like low stock levels, to help with timely responses and decision-making.

This action primarily benefits businesses looking to enhance operational efficiency and data quality through targeted, automated processes.

Filter Assets Based on Metadata Condition Action

Are you struggling to find the needle in the haystack? This action leverages the Pimcore Query Language (PQL) to select assets efficiently. It allows for the precise selection and utilization of digital assets by filtering based on specific metadata conditions:

Seamless Metadata Querying with PQL: Define metadata-based conditions using PQL to filter assets directly through the user interface, ensuring a streamlined and secure operation.
Integration into Workflow Context: Automatically store the results of your filtering within the job execution context, facilitating easy access and use in subsequent workflow steps.

Where it is applied

Compliance and Legal Management: Identify and manage images with expired usage rights, automating compliance processes by notifying the necessary personnel to update or remove these assets.
Quality Control in Asset Management: Enhance the quality of your digital asset repository by filtering out images that do not meet specified resolution standards, ensuring that only high-quality images are retained and used.

This action improves asset management and operational efficiency by allowing targeted, condition-based selection, which is critical for maintaining high compliance and quality standards in asset-intensive environments.

Core Advancements and System Enhancements

With Pimcore Platform Version 2024.2, core improvements have been implemented to enhance the platform's automation capabilities and overall performance, ensuring it remains a cutting-edge tool for managing digital business operations.

The introduction of the Generic Execution Engine marks a significant upgrade, centralizing robust job management features within the Pimcore ecosystem. This allows users to execute, monitor, and manage longer-running background tasks more flexibly-running sequentially or in parallel. The Generic Execution Engine, which plays a crucial role in enhancing the functionality and performance of various applications, is currently being utilized by the Pimcore Copilot to optimize its operations. Additionally, it is slated for extensive use in the upcoming Pimcore Studio, where it will be utilized for longer-running tasks such as batch updates, exports, and similar activities, and it significantly contributes to the efficiency and capabilities of the platform.

Another cornerstone of this release is the Pimcore Query Language (PQL), which provides a simple yet powerful syntax for querying and managing data directly through the user interface. This feature is particularly beneficial for configuring data filters without compromising security, making it an invaluable tool for administrators and power users.
The first use cases of the Pimcore Query Language will involve defining preconditions for data pool definition in the portal engine and filtering objects and assets in the Pimcore Copilot without the need for custom coding. E.g., if you want to filter for all green Jaguar E-Types with a production year before 1965, you can use the following query:

series = "E-Type" AND (color = "green" OR productionYear < 1965)

This summary only scratches the surface of the platform's expansive improvements. Discover all improvements and updates in the Pimcore Developer Documentation.

A Final Goodie: Pimcore Studio Sneak Preview

Aside from the exciting Pimcore Platform Version 2024.2 rollout, we are thrilled to provide another glimpse of the ongoing Pimcore Studio development. Below, see some exclusive tweaks that are set to redefine how extensive and complex tasks are managed within Pimcore. However, please remember that all developments are subject to change as we proceed.

Also, this preview is available as a repository so that you can try it out first-hand. We posted a short step-by-step guide on our GitHub page on bringing the Pimcore Studio Preview to life!

Try the Pimcore Studio Preview: GitHub Guide

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