Facing immense pressure from the market, executives and product leaders are facing challenges to leveraging Artificial Intelligence and Machine Learning for their enterprises.
Skymind helps executives and product leaders solve those challenges with a platform made for the team and resources they already have.
Empower engineering teams to use the language to build ML functionality for Java applications in enterprise environments, using the language and environments they already know.
Eliminate dependencies and interoperability issues between data science and engineering teams. Get enterprise-grade model reliability, performance, and scaling without maintenance, all on the JVM stack.
Build ML-powered capabilities into existing business workflows using streaming or stored data from ERP and CRM systems, data lakes, Spark, Kafka, and elsewhere. Improve model performance over time with quality monitoring, A/B testing, and winner selection.
Engineers can integrate and deploy Python-based models developed by data science research teams into JVM environments and applications, or build their own models in a tracked and collaborative environment.