#Technology#IIoT#Manufacturing

Splice Machine Announces Operational AI Platform for IIoT

Splice Machine has announced Livewire, the operational AI platform, designed to bring Machine Learning out of the lab and into the plant.

|Nov 5|magazine11 min read

Splice Machine, the only scale-out SQL database with built-in machine learning, announced the launch of Livewire, its new open-source Operational AI platform for industrial IoT use cases, yesterday, November 4th. 

A Powerful Data-AI Collaboration

Livewire is the first combined data and AI platform of its kind, designed to alert plant operators of likely outages or performance degradation with enough time for human employees to intervene and perform remedial action, to avoid any potential outages and improve overall performance. The programme’s creators sought out the opinions of the company’s industrial partners and customers, to establish exactly what they thought was missing in their existing tech stack and they got to work on developing the product with their responses in mind.

The Splice Machine Livewire platform allows teams of data engineerings, data scientists, and operators to collaborate with unprecedented speed and agility on a single, centralised platform. By using the integrated platform, these teams of experts can deploy machine learning models 100x faster with half the staff.

The platform is cutting-edge, if not industry-leading, and brings together the three critical components needed in comprehensive AI solutions for industrial IoT:

Connectivity and Ingestion

  • Tools and APIs to integrate and ingest data from DCSs, SCADAs, historians, ERP systems, MES systems, and other data sources.  

Observability Platform

  • Visualisation and alerting tools to surface temporal data, static data, and predictions. 

Prediction Platform

  • An end-to-end Machine Learning platform for developing, experimenting, and deploying machine learning models. 

Developments in Machine Learning

The new platform’s machine learning capabilities have the potential to unlock the full power of the data that flows through your organisation. In fact, Livewire is built to help oil and gas, utilities and process manufacturing companies move Machine Learning (ML) projects into production more rapidly and reduce infrastructure complexity for a more agile ML lifecycle. “By giving data science and machine learning teams access to real-time data, making feature and model creation easier, and providing advanced MLOps tools for managing and deploying models to production, Livewire gets business to AI-powered results faster.”

“Many AI and ML projects start out with great ideas and intentions, but go nowhere," said Monte Zweben, co-founder and CEO, Splice Machine. "We are here to help those projects move out of the 'ivory towers' and into production applications. With Livewire, industrial enterprises can capitalise on investments made in sensors, AI and staff and drive a digital transformation that can generate superior business outcomes on an ongoing basis.”

Splice Machine works in common IIoT use cases that follow the OODA structure (Observe, Orient, Decide, Act) by ingesting sensor data and suggesting actions. Use cases where Splice Machine is being used or evaluated include outage avoidance, load forecasting, predictive maintenance, threat detection, and spare parts planning.

Easing the Asset-Heavy Industries

Fortunately, for companies that have made their home in asset-heavy industries like desalination, energy, process manufacturers, oil and gas, and telecommunications, Livewire augments native DCS/SCADA systems and offers a modern alternative to the traditional historians that couldn’t scale to meet the needs of new and improved machine learning applications. Unlike black-box proprietary AI offerings, Splice Machine solutions are open source, allowing users to maintain control over their solution and their data without prohibitive costs that slow down the return on investment. Splice Machine also simplifies the deployment and management of applications when compared to disparate cloud solutions that have to be architected together and heavily managed to prevent failure.

"Splice Machine's unique combination of operational, analytical and machine learning capabilities has been proven at scale in highly regulated industries like financial services and healthcare," said Zweben. "Now, with Livewire, we're aligning IT and operations technology to deliver operational AI for industrial companies around the world."

"Accenture and Splice Machine are taking AI out of the lab and into the plant with the new Livewire solution," said Andreas Braun, Managing Director, EMEA Lead, Data Business Group and Applied Intelligence, Accenture. "This merging of databases and machine learning enables companies to achieve better business outcomes faster, but better yet, it allows them to quickly iterate and continuously improve the predictive accuracy of models leading to even better outcomes such as fewer outages and better performance."

On November 11th, 2020 at 09:00 am PST/12:00 pm EST/16:00 GMT; Splice Machine will be hosting a live webinar, to announce the launch of Livewire; within the event, you can learn all about the system and how it can benefit and exponentially speed up your processes. If your company operates in the oil and gas, utilities, petrochemical, or process manufacturing space, I encourage you to check it out and sign up, here

If you’re intrigued by this development but can’t make the webinar, why not take a look at Splice Machine’s Livewire whitepaper?

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