Adobe announced Adobe GenStudio, a new solution combining content ideation, creation, production and activation to advance the enterprise content supply chain with generative AI. By connecting Adobe’s solutions across Creative Cloud, Firefly, Express and Experience Cloud, marketing and creative departments can now:
- Rapidly create and activate new and variant content with Firefly generative AI and Express in a simple to use interface connected to Enterprise data and supports real-time collaboration across the entire company.
- Create Enterprise content workflows and enable content re-use through a single Enterprise portal via Workfront, Adobe Experience Manager (AEM) and Creative Cloud.
- Activate content through any channel and immediately gain insights into content performance through Adobe Experience Cloud.
Through Express integration with Experience Cloud, more people in an organization can now collaborate in content workflow. Experienced designers and marketers such as campaign marketers, web site managers, social media marketers and product managers are able to create, edit and version brand approved assets for immediate personalization. GenStudio puts agility in the hands of digital experience managers while ensuring brand standards and overall governance are maintained. Through the integration of Workfront, Firefly and Adobe Experience Manager, GenStudio accelerates and optimizes a notoriously lengthy, cumbersome and expensive process.
Acquia, a digital experience platform, announced new integrations between Acquia DAM and generative AI solutions ChatGPT and Clarifai. These integrations enable creatives and marketers using the Acquia digital asset management (DAM) platform to accelerate time to market by creating on-brand, search engine optimized product descriptions and image alt text. Acquia DAM may be used as a standalone solution or with content management systems such as Drupal or other products in the Acquia Digital Experience Platform (Acquia DXP).
With the native integration between Acquia DAM and ChatGPT, product marketers can quickly create product listings on their own websites and popular commerce sites such as Walmart, commerce platforms like Shopify. This solution enables teams to create on-brand content for their entire product line faster, based on product attributes in Acquia DAM, to ensure accuracy across digital channels. Teams can use target keywords as inputs for the AI-generated description to optimize for search. As an organization’s image library grows, the integration monitors all new or newly versioned image assets, ensuring no assets fall through the cracks.
Cloudinary, an image and video platform, announced a key enhancement to its enterprise DAM, Cloudinary Assets, with the addition of Studio, a new feature that allows users to quickly adapt images and video easily. Powered by AI, Studio users will benefit from more efficient media management workflows, improved collaboration, and faster time to market. With access to built-in generative AI capabilities, users can quickly remove backgrounds, add drop shadows or otherwise manipulate images and videos to suit their needs.
Cloudinary Assets users save time with the ability to define one or multiple transformations that the platform can use to instantly optimize images and videos for all channels, devices, and platforms and automatically generate variations when uploaded or on demand.
Studio brings additional workflow efficiencies to a modern DAM platform that includes:
- Automation of collaboration workflows: Cloudinary makes it easy to create and share image and video collections between internal teams and external collaborators, facilitate review and approval workflows, and navigate asset handoffs.
- Unlimited asset variations: From a single source file, users can rely on AI to automatically create an unlimited number of experience-ready assets that are optimized for performance and tailored to the specifications of each channel.
Netlify, a platform for modern web development, announced the general availability of the Netlify Software Development Kit (SDK), a suite of tools designed to provide technology partners, web development agencies, and customers with custom integration development capabilities. With Netlify SDK, development teams can custom tailor their web projects, web properties, and web architectures for their business needs. Netlify SDK brings improved productivity, flexibility, and speed-to-market to level-up enterprise development team capabilities.
Netlify SDK includes several new features for Netlify Front-End Cloud, including Build Event Handlers, API Handlers, a new Integration UI, and more, to help organizations to accelerate the migration to and evolution of composable web architectures. Netlify SDK helps enterprise development teams gain:
- Support for any content source – A standardized development process, for users to quickly spin up custom integrations that can sync to data sources.
- Improved developer productivity – Enables teams to take advantage of off-the-shelf integrations.
- Decreased time to delivery – Developers can reduce time required to get started building custom architectures and continue scaling bespoke web experiences.
- An elevated visual editing experience – Integrations with Stackbit leverage a visual editing experience easing cross-department collaboration that allows non-developers to interact with the platform.
Kobai, a codeless knowledge graph platform, announced a new partnership with Databricks so joint customers can leverage the insights of knowledge graphs with the Databricks Lakehouse Platform. Kobai’s Saturn platform is embedded directly in the data layer, allowing organizations to query data without moving it from the lakehouse, with W3C and Lakehouse standards providing interoperability.
Semantic data, which imparts meaning and context to information, plays a pivotal role in optimizing various aspects of the manufacturing process. By integrating semantic data into factory operations, enterprises can enhance their production efficiency, quality control, and predictive maintenance. This technology enables machines, sensors, and devices to communicate in a more intelligent and coherent manner, facilitating real-time monitoring and analysis of production lines. Semantic data aids in the creation of interconnected systems that can adapt and self-optimize.
Kobai’s codeless platform provides a business-first approach and collaborative environment to rapidly share insights across the entire organization, transforming the way enterprises capture and create their business logic with a whiteboard experience. The Saturn knowledge graph works directly with Kobai’s Studio framework and Tower visualization products to infuse data with meaning and context, creating a semantic data fabric that grows over time.
Merkle announced the launch of its new global accelerator for Salesforce Commerce Cloud, which enables brands to achieve a modern composable, API-first architecture faster. Developed to work with Contentful and Magnolia, the accelerator extends Salesforce Commerce Cloud and streamlines integration with other enterprise content management platforms.
By joining forces with Contentful and Magnolia, Merkle enables businesses to implement enterprise-ready headless content management capabilities with Salesforce Commerce Cloud. The new accelerator drives improved time to market, a future-ready technology architecture, and greater innovation in front-end consumer experience. It allows brands to manage front-end site experience and web content through the content management platform, in addition to user experience functionality. This reduces the initial front-end development work for brands to implement a headless architecture.
The accelerator brings together Merkle’s Salesforce Commerce Cloud expertise and modern content management platforms Contentful and Magnolia, and is supported by Merkle’s global design system to expedite design and provide brand experience components. This gives businesses the tools to create and deliver exceptional digital commerce experiences while reducing cost and time to implement composable architectures.
InfluxData, creator of the time series platform InfluxDB, announced InfluxDB Clustered, its self-managed time series database for on-premises or private cloud deployments. With the release of InfluxDB Clustered, InfluxData completes its commercial product line developed on InfluxDB 3.0, its rebuilt database engine optimized for real-time analytics with higher performance, unlimited cardinality, and SQL support.
InfluxDB Clustered is the evolution of InfluxDB Enterprise, InfluxData’s enterprise software product for on-premises and private cloud environments. Now with the release of InfluxDB Clustered, those same customers gain all the capabilities of the reimagined InfluxDB 3.0, but now specifically packaged and configured for their own unique hosting environments and data storage requirements. Deployed natively in Kubernetes, InfluxDB Clustered combines the scale and flexibility of the cloud with the security and control of a self-managed infrastructure.
InfluxData also recently announced the availability of InfluxDB Cloud Dedicated, a fully managed and scalable single-tenant InfluxDB cluster based on the InfluxDB 3.0 architecture and intended for large-scale time series workloads. Together, InfluxDB Cloud Dedicated and InfluxDB Clustered give enterprises multiple options in how they manage and scale time series workloads, whether in the cloud, in their own environment, or in combination for hybrid environments.
DeltaXML announced the release of new versions of their products XML Merge and DITA Merge, featuring improved handling of changes in CALS tables, as already available in XML Compare. It also adds the ability to ignore the order of columns, which means that a change in order doesn’t trigger delta markup in the result. Those used to seeing row duplications in their table results will be pleased to know that these have been dramatically reduced.
With XML Merge 11.0.0 and DITA Merge 7.0.0, this new table algorithm is included in merge products. This has added more complexity, but these products, as well as being easy to configure, produce the most rigorous and accurate comparisons. If some of the table versions have different structures, it’s necessary to select a ‘master’ table from which to create the result, which is used as the priority to determine which version to use as the master. The spans in that version are prioritised and other spans are created around them as necessary to ensure table validity. This approach helps to keep the result table as compact as possible while still representing how the table content has changed.