Machine learning for mobile developers

Machine leaning is getting so popular that many of the business line wants to use ML to make sure they engage the customer with their products and give a rich user experience. Mobile applications are one of the targets of ML driven customer engagement. There are many ML tools currently available in the market. To … Continue reading Machine learning for mobile developers →

IoT Ecosystem

It is interesting to see what level of daily consumer problems are being solved by IoT. Varieties of use cases from simple inventory management to fully automated self driving cars are some examples of IoT. Let us see how the ecosystem of IoT looks like. In my view - IoT ecosystem consists of 4 main … Continue reading IoT Ecosystem →

Simple ways to develop iBeacon and Eddystone Beacon applications

Companies around the world are looking to deliver exceptional unique customer experience. Businesses require more customer engagements. Engaging a customer through their mobile phone is really important for business to grow. Beacons can help provide a greater customer experience by providing context-aware information to the customers in their mobile phones. Beacons are mostly used for … Continue reading Simple ways to develop iBeacon and Eddystone Beacon applications →

IoT – Representing real world in the form of data

What is IoT - At-least, as I understand the end goal of IoT is to represent real world entities as data. IoT is more emerging across industries. Every industry is trying to gather as much data as possible for variety of purposes. IoT can help in achieving - Increased efficiency and productivity through automation Better … Continue reading IoT – Representing real world in the form of data →