Product Deliverables with AI Built-In
Generated with the DecisionIQ Industrial AI Engineering Platform
A Free Call to Answer Your Questions
This is your meeting! You don't get a sales pitch. You get to talk with an experienced deployment engineer about how to make AI work for your operation. We have experience in a wide range of industries from manufacturing, to power generation to field service. Common topics include:
Deliverable 2: Prescriptive Diagnostics Report
Permanently fix the cause of the failures. Our experienced engineering data science team analyzes historical data to find the causes of chronic failures. You get a report that process engineers and maintenance engineers can use to permanently fix the cause of the failures.
Deliverable 3: Continuous Failure Monitoring
Some failures are too complex to be permanently fixed with a diagnostics only solution. But, they are not too complex for our AI monitoring platform. We use your data to build a digital twin of your operation. Our platform will then monitor the operation in real time and predict failures when not yet detectable by people. A companion diagnostics analysis is provided that speeds the decision making process. This enables support teams to schedule a smart fix before the failure happens.
AI Deliverables Are Adaptable to Your Operation and Support Workflow
Every Operation is Different. Customization is Key for Best Results.
You Just Get the Data, We Do the Rest
Your AI solution will be built by DecisionIQ's experienced in-house engineering & data science team. They understand your problems and your data. Your only job is to assist in gathering the data in whatever format available. Results in 30 days from receipt of data. No analytics, data science or IT staffing required.
Any data type at any sample rate including:
Any data source, including:
Any data type, including:
Low Sample Rates
Any sample rate. We perfected the art of using low sample rates in data collection for no loss in analytics performance – typically 100x to 1000x less than native rate of generation. This diminishes the need for edge computing as network traffic is low and also greatly reduces streaming bandwidth from the sites to the cloud.