ABCD of any Computer Programme is DSA. Data Structures are used to hold data while Algorithms are used to solve the problem using that data
Myth: IoT is only about 'Things' Fact: True magic of IoT is not created by the 'things' we connect but the data these things create. Let's address some of the more common myths
Gathering a massive amount of data through IoT devices is useless if processes are not in place to sanitize, organize, and process data. IoT Data Management is essential
Future Urban Development Plan of Building One Community around Wireless and Internet Connectivity, incorporating various factors like ICT, IOT and PPP
Reach your environmental sustainability goals and advance your conservation efforts with secure, globally scalable, and innovative IoT solutions
IoT development process goes like, which involves a knowledge of wireless protocols, firmware development,
hardware design, IoT cloud and device integration along with experience in product designing. Connect Today!
It is exciting to watch the growth of IoT. I believe, IoT will transform our society over the coming years. The IoT has the potential to offer business value that goes beyond operational cost savings.
Cloud migration is an extensive and challenging task. It can prove to be a challenging and high-risk endeavour. The process is riddled with operational challenges.
Data Structures and Algorithms: Why You Need Them
Adressing the IoT myths
IoT Data Management
IoT Technologies for Smart Cities
Build an environmentally sustainable future with IoT
IoT Lifecycle Management
AI + IoT = superpowers of innovation
Key things to mind while migrating to Cloud driven models
Transfer Learning - ML Strategy
A Quickstart Guide to AutoML