- Cube introduces advanced features to expedite AI and embedded analytics solutions development.
- New capabilities include the AI API, currently in preview, and chart prototyping for Cube Cloud.
- Universal semantic layer enhances understanding for precise outputs in generative AI.
- AI API simplifies integration between LLMs and Cube Cloud, reducing development complexity.
- Chart prototyping in Cube Cloud accelerates time-to-market for embedded analytics solutions.
Main AI News:
In a strategic move aimed at enhancing the pace of AI and embedded analytics solutions development, Cube has unveiled a series of advanced features. Among these are the AI API, currently in the preview phase, and chart prototyping for Cube Cloud. These groundbreaking capabilities offered by Cube Cloud empower users to streamline and expedite the creation of AI and embedded analytics solutions, leveraging the robust framework of its universal semantic layer.
“Leading enterprises such as Spyne and Quantatec are already reaping the benefits of leveraging a universal semantic layer,” remarked Artyom Keydunov, the Co-founder and CEO of Cube. “Recognizing the pivotal role of the universal semantic layer in ensuring precise LLM outputs, we have drawn inspiration from these success stories to simplify and accelerate development through the AI API. With this innovation, Cube now furnishes a standardized interface for engaging with OpenAI, presenting a turnkey solution for executing text-to-semantic layer queries.”
Eliminating the Need for Ground-Up LLM Integrations
The realm of generative AI necessitates a profound comprehension of entities and relationships to facilitate logical reasoning while averting erroneous interpretations. Cube Cloud’s universal semantic layer furnishes large language models (LLMs) with the indispensable context required to comprehend data intricacies and generate outputs of heightened accuracy. Furthermore, Cube Cloud guarantees the trustworthiness and security of data employed in AI applications.
Thanks to Cube’s pioneering native AI API, customers are relieved of the arduous task of constructing intricate integrations between LLMs and Cube Cloud. This simplification vastly expedites the development of AI Agents and chatbots. Irrespective of their proficiency level, users stand to benefit from AI solutions featuring intelligent, conversational data interactions, thereby reducing the barrier to entry with natural language. The AI API is presently available in preview and is slated for general availability later this fall. Interested parties are encouraged to liaise with Cube sales to enroll in the pilot program.
Seamless Chart Prototyping
In tandem with the introduction of the AI API, Cube Cloud now boasts chart prototyping functionality tailored for embedded analytics use cases. Embedded analytics holds immense strategic significance in enhancing operational efficiency and fostering insights within workflow contexts. These meticulously crafted experiences render data more actionable in real-time for both internal stakeholders and external users.
The incorporation of chart prototyping capabilities within Cube Cloud enables users to generate front-end TypeScript code directly from Playground 2.0, facilitating expedited time-to-market deployment. Users can preview various chart types before seamlessly embedding them into their applications, with the option to select from native REST or GraphQL APIs for integration with their solutions.
Conclusion:
Cube’s latest innovations mark a significant advancement in the AI and embedded analytics market. By streamlining development processes and enhancing the understanding of data through its universal semantic layer, Cube is poised to reshape the landscape, driving efficiency and insights for businesses across various industries. These advancements not only offer tangible benefits in terms of development speed and accuracy but also signify a broader trend towards democratizing AI and analytics, making them more accessible to organizations of all sizes.
