Copyrights © 2021 IoTfyNow. All Rights Reserved.
We define ourselves as an end to end IoT Solutions Development company, providing end to end solutions creating a marriage between IT and OT through a comprehensive duel of Hardware and Software integrated approach. We set forth with Goals and
Data Sourcing in real time is an important facet in today’s business environment. We live in an era of inter operable systems creating a merger between Humans and Machines. As we derive new economies and business definitions, the epitome of
Having spent more than three decades into hardware designing and embedded automation systems, IoTfyNow provides quick time to market prototyping and creates a rapid turnaround into production ready systems. With a wide range of experience of having worked on hardware
As a part of creating Smart and Agile IoT based Applications we have created a number of applications as a part of Manufacturing, Energy & Utilities and other industries We are adept at creating: Smart Devices Integrated Mobile Apps Embedded
Some artifacts about the Data ecosystem of today, revolves around a few touch points. Firstly the volumes as well as the variety of Data will only increase with time. Thereby, the volumes and variety of Data Models would also increase.
What we know from the Data, does not mean we know everything about the Data. It is always interesting to have a Third Eye view to see how industries are currently consuming the data, how are they generating the data,
The thing that we have noticed about enterprises of today, is that they know they have oceans of Data available, they think they know what its telling them, but then it still does not give the yieldings that they anticipate.
Before we get to analysing Big Data, we need to define processes and mechanism to sort the data, manage the data and render it well, to get actionable outcomes from the Big Data sourcing. Ideal starting point happens to be
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
Data if not visualised in its most efficient form, the other implied avenues of data related activities may all go in vein. Data representation is important to help business owners, P&L owners, Product Owners, Process Owners, to get the minute