Veritone has released version 3.0 of its AI operating system, with unique capabilities for the deployment of enterprise AI and ML.
AI tech company Veritone has announced a host of new features and enhancements to its aiWARE operating system. The latest release, aiWARE 3.0, has improved app support, performance upgrades, work flow development and integration enhancements.
The OS is designed for AI, ML, and IT developers to get custom and turnkey AI and ML solutions up and running quickly without significant machine learning expertise.
"As enterprises begin to use multiple AI models and systems to extract and understand growing data volumes, the need for enterprise AI platforms is increasing," says founder of market research firm Deep Analysis and co-author of Practical Artificial Intelligence: An Enterprise Playbook, Alan Pelz-Sharpe.
"Veritone aiWARE has the potential to open up new possibilities to use AI in a coordinated manner across enterprises, along with expanded applications for digital transformation."
Veritone says the OS now has a more simplified and cost-effective installation and administration process, which reduces DevOps requirements whether customers deploy in the cloud or on-premises.
The company says the scalability of the OS has increased, whether from a single CPU, laptop, or cloud-scale deployment. With notable enhancements, including reduced job input/output latency (near-real-time) and multi-threaded processing control for multiple tasks within a job while avoiding blocking tasks that clog the processing pipeline.
The new aiWARE OS Notification Center, aiWARE 3.0 exposes OS and application-level events in a single location and format, allowing for better visibility of a task's completion or any changes made, new data available, and messages received.
The aiWARE OS Flow Center, allows users to browse, manage, and open Automate Studio flows and templates from the OS. The Automate Studio flows can be called from any aiWARE application, extending applications with additional AI engines and system integrations and expanding potential aiWARE use cases across the enterprise.
Some Automate Studio low-code work flow and integration tool improvements include:
- Flow version control, production debugging, and easy flow access from any aiWARE application, making developing and deploying flows easier.
- Faster AI model performance within Automate Studio, enabling in-process use cases that require near-real-time, event-driven, intelligent automation.
- Ease of application integration with the ability to trigger cognitive flows from applications by pushing data to an HTTP endpoint, whether in test or production.
- A new set of GraphQL APIs allowing developers more granular control over the lifecycle of their flows, whether to create, configure, run, or debug.
