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Splice Machine Updates Livewire Operational AI Platform

The Livewire Pulsar release has a new Kubernetes architecture and feature store designed to reduce costs, increase productivity, and improve the overall user experience.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Splice Machine, a machine learning and AI solutions provider, released Livewire Pulsar, the latest edition of its Livewire open source operational AI platform for industrial IoT use cases. By using an upgraded Kubernetes architecture, the updated Livewire platform reduces costs, adds new AI features for increased productivity, and delivers a simplified and updated user interface.

The Pulsar edition is designed to reduce the cost of ownership by introducing on-demand elastic operations, allowing enterprises to expand or decrease data storage resources depending on need. The new edition enables Apache Spark to scale up or down as needed with new minimum/maximum parameters for executors in both online analytical processing (OLAP) database operations and notebooks for ML, and offers an on-premises air gapped solution for plants that lack internet connectivity.

Livewire's new AI capabilities include a Feature Store, which provides a centralized location that allows data teams to share and reuse curated data for machine learning pipelines. Livewire Pulsar also contains a new anomaly detection solution, plus the ability to incorporate time-series features. These enhancements are designed to help energy, utility, and chemical plants run more efficiently through better use of data.

Livewire's updated user interface includes a new authentication and authorization security model that considers the multiple constituencies of plant operations, new robot assistants to guide the data science journey, and new self-service trials.

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