Blog by Maye Young

IoT development tools are available which can help offshore developers and outsourcing companies to implement Artificial Intelligence into IoT. Earlier it was used by only big players, but now it is freely available for offshore developers. Spotify is an app which can play songs as per our mood. Here the catch is that we have to manually enter the mood of the songs that we want to listen, and it will automatically play the respected playlist. But today we are building devices which can detect human emotions based on characteristics detection, Language tone analysis, and emotion detection. In some cases, it has also been observed that AI has proven its importance in understanding such emotions better than humans. The algorithms of AI are implemented on IoT devices to interact with humans in real time. The microphones and speakers of the devices are kept ultra sensitive to catch every smallest emotion that we express by words. Here's what AI can do to IoT devices: Speech

The Internet of things (IoT) is the inter network of physical devices like automobile, home appliances,wearable technology and other items inter connected with electronics, software and network connectivity which enable these objects to connect and exchange data with each other. The IoT allows the object to be sensed or controlled remotely across network infrastructure, creating opportunities for direct integration of the real world into the computer world When IoT is augmented with sensors the technology becomes an instance of the more general class. Real World Applications of IoT Smart Home With IoT creating the buzz, Smart Home system is the most searched and recent trend. Wouldn’t User love if they could switch on the air conditioning before reaching home or switch off lights even after they have left home? Or unlock the doors to friends for temporary access even if they are not at home. Don’t be surprised with IoT technology companies are building products to make yo

There is a lot of buzz around Internet of Things these days. Some of them is justifying while sometimes it has got over what we understand. As a result of this, IoT industry has faced a lot of misapplications and miscalculations which led to the hesitation in its early adoption. With the passing of days IoT is getting out of the fancy and some effective economic realities and trends are coming up. This has led to the increased market of Internet of Things app development market. Today the traditional business models have changed and something new and economically viable has come up. Here we will discuss some of such business models which have emerged with effective IoT application. Compliance monitoring It is estimated that around $192 billion is spend by American manufacturers on compliance. It costs a lot of money to keep up with environmental, economic and safety regulations. Businesses are looking for ways to bring down the costs. IoT technologies have already proved