Splice Machine reveals new division focusing on industrial industries

Splice Machine, a provider of a scale-out SQL database with native machine learning, is unveiling a new industrials division that will focus on providing predictive maintenance for outage avoidance for the oil & gas, renewable energy, communications, and petrochemical industries.

Splice Machine will leverage its converged database platform to address some of these industries toughest challenges including predicting equipment failures, eliminating avoidable downtime, and reducing corrosion.

Splice Machine will also focus its efforts on reducing the pain experienced by network-intensive industries including utilities and telecom to optimize load, yield, resource efficiency, and asset reliability.

"Asset-heavy industries like oil and gas, utilities, and telecom have traditionally relied on calendar-based maintenance to keep operations running, but there are several downsides to this preventive maintenance approach," said Monte Zweben, co-founder and CEO, Splice Machine. "These industries can greatly benefit from using real-time predictive analytics with midstream control system data to avoid outages and optimize the availability of spare parts. Our solution combines three elements of computation that are typically separate – operational, analytical, and AI – to make that optimization happen."

Global leaders in financial services, healthcare, consumer products, and supply chain have partnered with Splice Machine to digitally transform their organizations and modernize their legacy and custom-built applications.

Now, with its new Industrials division, Splice Machine will be able to better serve oil and gas, telco, and energy clients globally.

For more information about this news, visit www.splicemachine.com.