In today’s fast-paced AI landscape, relying on outdated, static datasets can lead to inaccurate models, costly retraining cycles, and delayed time-to-market for AI features. Real-time data pipelines offer a game-changing solution, enabling AI systems to stay accurate, scalable, and cost-effective by continuously learning from current conditions. With benefits like a 40% reduction in model hallucinations, faster deployment, and lower infrastructure costs, real-time data is essential for building reliable applications such as fraud detection, recommendation engines, and Customer 360 profiles. Discover how Meroxa’s platform empowers organizations to implement real-time data pipelines and unlock the full potential of their AI initiatives.
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Revamp your data pipelines with Conduit and Redpanda! Swap Kafka and Kafka Connect complexities for a swift, user-friendly options.
Real-Time Analytics Using the Kappa Architecture in ~20 Lines of Code with Turbine, Materialize, Spark, & S3.
Using Turbine to build a data app to help source new sales leads helps small sales teams scale.
By using Meroxa’s Turbine SDK, you can simplify the data activation process by reducing the need to use multiple point solutions for transformation and reverse ETL with code.
Since launching last April, Meroxa has become the de-facto platform for creating real-time data pipelines for over 300 companies.
“Data is the new oil.” If data is the new oil, we wanted to power the refinery. The merox process, but for data.
