Splice Machine, a real-time machine learning and AI solutions provider, is releasing Livewire Pulsar, the latest edition of its Livewire open source Operational AI platform for industrial IoT use cases, enhancing the Kubernetes architecture.
"Industrial enterprises have struggled to fully optimize their investments in AI. Our new Livewire Pulsar release makes it easier for companies to implement operational AI capabilities and allow plant operators to quickly leverage anomaly detection and predictive applications to prevent outages and improve overall plant performance," said Monte Zweben, co-founder and CEO, Splice Machine.
The Pulsar edition reduces the cost of ownership by introducing on-demand elastic operations, allowing enterprises to expand or decrease data storage resources depending on need, according to the vendor.
The new edition enables Apache Spark to scale up or down as needed with new min/max parameters for executors in both online analytical processing (OLAP) database operations and notebooks for ML, and offers an on-premise 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 better 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.
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. Livewire Pulsar also leverages partnerships such as OSIsoft's PI System.
For more information about these updates, visit https://splicemachine.com/.