Deployment

LOW-RISK, MULTI-PHASED ONBOARDING PROCESS

GETTING STARTED: AI READINESS ASSESSMENT AND MODEL BUILDING

To help you assess and quantify the benefits of using the BluWave-ai solution in your unique operation, we offer an initial AI model-building service as either a first phase of our product deployment process or a standalone service. This step helps you assess your operation's readiness for AI-enabled optimization, and quantifies the value of it.

Models are built based on your historical operational data. The models go through a training process, pinpointing areas for optimization, then provide  simulations specific to your environment. This process delivers a clear understanding of how the BluWave-ai software will interact with your operations and the benefits it will provide.

OVERvIEW OF THE DEPLOYMENT PROCESS

BluWave-ai’s low-risk onboarding allowed us to run a set of AI-enabled tests over several months, in effect test-driving the platform in our own environment.

Bob Ashley
Chief Administrative Officer, City of Summerside, Prince Edward Island, Canada

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VIEW CUSTOMER STORY

To learn more about how BluWave-ai can customize a deployment plan to suit your operational requirements, please contact us.

GOING DEEPER: INTEGRATION AND LIVE TESTING

The second phase of deployment moves into system integration and testing with live data. The models receive further training using live data from your own IoT and SCADA devices and sensors, supplemented by BluWave-ai sources. The AI models are trained, tested and deployed in a simulation environment to provide predictions and recommendations for optimizing your operations.  The phase concludes with a report  quantifying the expected benefits of a fully-deployed BluWave-ai solution.

Sample of a dashboard, showing metrics unique to a customer's operations.

GOING LIVE: START REDUCING UNCERTAINTIES, COSTS, AND HARMFUL EMISSIONS

The onboarding process concludes with full-scale commercial deployment. Planning for this phase can include structuring the roll-out into multiple projects or sites, as best aligns with your budget and business requirements.