Question: Can you recommend a tool that uses AI to predict and improve key performance indicators (KPIs) across multiple data sources?

If you're looking for a tool that uses AI to predict and improve key performance indicators (KPIs) across multiple data sources, Infer is a strong candidate. Infer is a predictive AI-powered information retrieval system designed to integrate with various data connectors such as Snowflake, Azure, Google, and Salesforce, offering solutions like lead scoring, customer retention, and demand forecasting. Its user-friendly interface and seamless data integration have reportedly reduced sales cycles and lowered costs for businesses.

Another noteworthy option is Abacus.AI, an AI platform that allows developers to build and run applied AI agents and systems at scale. It offers a range of features including forecasting, anomaly detection, and predictive modeling, making it suitable for optimizing business operations and predicting sales and revenue. The platform's support for real-time forecasting and high availability ensures that your AI systems are always running smoothly.

For a more analytics-focused approach, Athena is an AI-native analytics platform that accelerates analytics workflows. It works in both co-pilot and auto-pilot modes, learning workflows and taking actions autonomously. Athena supports easy integration with Enterprise Data Warehouses and provides collaborative tools for data analysis, making it ideal for businesses wanting to make data-driven decisions without manual workflows.

Lastly, Morph is an AI-powered data assistant that allows businesses to ingest data from multiple sources, analyze it without coding, and export results to various platforms. It supports data management through querying, visualization, and reporting, making it a versatile tool for business intelligence and data preparation tasks. With its affordable plans and user-friendly interface, Morph is suitable for teams needing quick data analysis and automation.