About The Autonomous Data Engine
The Autonomous Data Engine is a data management platform from Infoworks that supports AI-powered offerings. It provides an Uniphore Business AI Cloud, Agentic Layer, Model Layer, Knowledge Layer, and Data Layer so organizations can use advanced data analytics and insights. This platform helps businesses integrate and manage data efficiently, facilitating better decision-making processes. Infoworks’ acquisition by Uniphore improves its capabilities, allowing for comprehensive solutions in AI-driven business applications. Key capabilities: Uniphore Business AI Cloud Agentic Layer Model Layer Knowledge Layer Data Layer Best for: organizations that need advanced data management and AI integration for business intelligence.
The Autonomous Data Engine Details
The Autonomous Data Engine's In-App Market Place
Does The Autonomous Data Engine have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
4
Mini Apps
1. Veritas Cognitive Object Store: This add-on enhances the Autonomous Data Engine by providing advanced cognitive capabilities for analyzing and retrieving object-based data.
2. Veritas Analytics: Integrate powerful analytics tools with the Autonomous Data Engine to gain insights and make informed decisions about your data management strategy.
3. Veritas Data Protection: Add advanced data protection features to the Autonomous Data Engine to ensure the security and integrity of your stored data.
4. Veritas Data Governance: Implement strong data governance practices with this add-on to ensure compliance with regulations and best practices for data management.
Pricing Options
Accepted Payment Currencies
Usd ($), Eur (€), Gbp (£), Aud ($), Cad ($), Jpy (¥), Chf (chf), Cny (¥), Ils (₪), Inr (₹), Rub (₽)
Pros & Cons
- Significantly reduces manual data management tasks
- Increases data accuracy and reliability
- Provides real-time insights and analytics
- Improves data security and compliance measures
- Enables automated data integration and decision-making processes
- Limited compatibility with certain operating systems and databases
- Complex setup process requiring advanced technical knowledge
- High cost of licensing and maintenance fees
- Steeper learning curve for new users due to complex features and functionalities
- Lack of integrated data visualization tools for real-time analysis