We’re continuing into Q2 with some exciting product updates — powerful enhancements that help maximize the full potential of your unstructured data. This update focuses on four key areas: AI Runtime, Production Workspaces, Data Retention, and AI Hub Marketplace. Let’s dive into these features designed to optimize your data workflows and increase productivity!
Are you a visual learner? We recently hosted an exclusive product webinar on these latest updates. Here is a video of some of the insights you’ll gain — or you can watch the full recording here.
Reliable AI Upgrades With AI Runtime
At the core of the advancements is AI Runtime. With the continual evolution of LLMs and new versions to boost performance, managing AI capabilities becomes crucial. While model upgrades bring improved results, they also have the potential to alter your apps’ behavior. With AI runtime, all AI capabilities are now versioned meaning that app outputs won’t change after platform upgrades. You can systematically test, upgrade, and manage AI versioning on your schedule, ensuring reliability while leveraging the latest innovations.
With the new updates to AI Runtime, you have:
- Management of AI Capabilities: Independently manage AI capabilities (models, system prompts, data types) from platform upgrades and app configurations.
- Version Control and Benchmarking: Easily test and measure app performance against the latest runtime version.
- Upgrade Flexibility: Choose automatic upgrades or lock in the current version for a specified period, providing ample time to test new versions.
For more details on the updates to AI runtime, visit the AI Runtime Release Notes.
Production Workspaces For SDLC Workflows
Workspaces are used to facilitate data access separation for a variety of purposes such as distinct areas for different business units or development and testing. The new Production Workspaces setting can be utilized to support SDLC workflow separation, designating specific workspaces as production. For single-tenant customers, this feature prioritizes resources for production processing, so development and testing activities can be conducted safely without disrupting business-critical operations.
Automated Data Retention Management
Managing data retention policies is simplified with the automated Data Retention feature. Easily delete data, logs, and source files on preset timelines to comply with regulations, optimize space usage, and uphold data hygiene standards.
Accelerate Development With AI Hub Marketplace
In the AI Hub Marketplace, you can find an assortment of customizable blueprints to accelerate development of your use cases. These blueprints come pre-configured to extract data from a variety of documents. You can easily add new fields or customize any configuration to meet your needs.
In the spirit of tax season, we have the following U.S. tax forms available for use to automate tax compliance workflows:
Unlock your unstructured data
Discover how the latest AI Hub updates make it easier to build apps and make faster decisions.
