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AI/ML Models in AI Squared allows users to define how to gather the required data for input variables, for the AI/ML models they connect to, using AI/ML Source.
AI Squared puts the right information in the right place — helping business teams operationalize AI to make impactful decisions from the comfort of their browser-based workflows. AI Squared provides a data and AI integration platform that helps make intelligent insights accessible to all.
The core concepts of AI Squared are the foundation of your data journey. They include Sources, Destinations, Models, and Syncs. Understanding these concepts is crucial to building a robust data pipeline.
AI/ML sources help users connect to and retrieve predictions from hosted AI/ML model end points. These sources are critical for integrating predictive insights from AI/ML models into your workflows, enabling data-driven decision-making.
17 kwi 2024 · Medium — AI Squared Earns $13.8M Series A Funding: Putting the Power of AI Into the Hands of the Business
5 wrz 2023 · Based on your requirements, you can choose to use human — annotated or AI — generated question — answer pairs. This is the exact procedure we used to train a fun example of a DLite model that acted as a question — answering ‘expert’ about the 2023 Databricks Data and AI Summit this past June in San Francisco.
Dive deeper into AI Squared's solutions with informative resources designed to help you gain the knowledge needed to unlock the full potential of data and AI for your business. See how AI Squared tests model performance and malperformance – right in your browser.
