At IoTfynow our team of Statisticians, Research and Innovation Heads, Data Scientists and PhD consultants, ensure that we run continuous innovation programs to come up with Algorithm development from the scratch.
Our Algorithm development cycle includes:
- New Data Gathering
- Data Preparation
- Data Wrangling
- Data Analysis
- Training Data Models
- Testing the Data Models
- Deployment & Production Readiness
We have worked on a number of data algorithm development projects across a gamut of industries including Manufacturing, Oil & Gas, Energy & Utilities, Heavy Machinery, Automotive and other industrial buckets.
We specialize in asset management, services & maintenance process automation through predictive/prescriptive/suggestive maintenance cycle definitions to prevent asset failure, Supply Chain Automation, Sales & Customer Behaviour Trend Analysis, Autonomous Machine Performance and other key used cases areas.
We excel in applying Machine Learning data modeling applying a wide range of Supervised, Unsupervised & Reinforcement data modeling. We also look to automate the Data Optimization, Version Control and Continuous Data Management workflows through the effective use of tools such as AutoML.