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Jacobs and Palantir Expand Partnership
Jacobs (NYSE: J) and Palantir Technologies Inc. (NYSE: PLTR) (“Palantir”) today announced an expansion of their partnership, focused on leveraging Palantir’s AI capabilities to commercialize new AI solutions spanning critical infrastructure, advanced facilities, supply chain management and more.
Building on Jacobs’ use of domain-specific algorithms with Foundry in its water sector, the company is now incorporating Palantir AIP to unlock unprecedented speed, greater efficiency and more informed decision-making for their clients – with security, control and auditability at the forefront.
Jacobs and Palantir Launch Global Strategic Partnership for Data Solutions
Jacobs (NYSE:J) and Palantir Technologies Inc. (“Palantir,” NYSE: PLTR) today announced a global strategic collaboration targeting data and technology solutions for the infrastructure and national security markets.
The near-term focus of the relationship is the water sector – a critical enabling infrastructure – and involves the launch of a joint data analytics offering to support public and private sector clients in solving their most complex water infrastructure problems. The water data analytics solution aggregates and analyzes plant data to manage and optimize water and wastewater treatment plant operations and maintenance (O&M), aimed at reducing costs and improving plant performance. The partnership plans to expand and commercialize this innovative solution.
Jacobs Creating First Digital Twin of PUB's Changi Water Reclamation Plant in Singapore
Jacobs (NYSE:J), has partnered with PUB, Singapore’s National Water Agency, in an R&D project to develop and trial a whole plant simulation model for the Changi Water Reclamation Plant (CWRP). The model, a digital twin of the plant, will be the first application of its kind and combines real-time data from supervisory control and data acquisition (SCADA) historian with software simulation packages (Replica™ Digital Twin Platform) to integrate process, hydraulics, controls and advanced data analytics into a single, whole plant simulation capable of replicating plant operations and predicting future performance in real-time. The trial is expected to be completed by December 2020 and this research is supported by the National Research Foundation Singapore and PUB.