Splice Machine, a provider of real-time machine learning and AI solutions, launches Livewire Pulsar, the latest edition of its Livewire open source operational AI platform for industrial IoT use cases, improving the Kubernetes architecture.

“Industrial companies have struggled to fully optimize their investments in AI. Our new version of Livewire Pulsar makes it easier for businesses to implement operational AI capabilities and enables plant operators to quickly take advantage of anomaly detection and predictive applications to prevent outages and improve overall performance. From the factory”. said Monte Zweben, co-founder and CEO of Splice Machine.

The Pulsar Edition lowers the cost of ownership by introducing elastic on-demand operations, allowing businesses to expand or scale data storage resources as needed, depending on the vendor.

The new edition allows Apache Spark to increase or decrease as needed with new min / max settings for executors in both online analytical processing (OLAP) database operations and notebooks for the ML, and offers an on-site empty space solution for factories that do not have Internet access. connectivity.

New Livewire AI capabilities include a Feature Store, which provides a centralized location for data teams to better share and reuse selected data for machine learning pipelines.

Livewire Pulsar also contains a new anomaly detection solution, as well as the ability to incorporate time series functionality.

Livewire’s updated user interface includes a new authentication and authorization security model that takes into account the multiple components of plant operations, new robotic assistants to guide the data science journey, and new self-service trials. Livewire Pulsar also relies on partnerships such as OSIsoft’s PI System.

For more information on these updates, visit https://splicemachine.com/.

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