Salesforce IoT Cloud Makes Internet of Things Dream
We are hearing news about wearables and connected devices every day. The Wi-Fi-enabled fridge and a number of Wi-Fi-enabled household items have already hit the stores. Coca-Cola unveiled internet-connected vending machine while Burger King—the Coca-Cola company—installed over 2,000 internet-connected soda fountains called Coca-Cola Freestyle all over the US. So, there is no doubt the estimation of over 50 billion connected devices by the year 2020 could well be true. The Internet of Things (IoT) is on the verge of revolutionizing the way people live, but what does it mean for businesses? IoT brings about a paradigm shift in the way brands establish and maintain the relationships with customers. With wireless sensor technology, IoT, and Salesforce1 platform combined, businesses can now establish a direct connection between a server and a customer’s smartphone, tablet or other connected devices through an app which can lead to delivering the whole new customer experience.
IoT and Salesforce1 Platform On September 15, 2015, the first day of Dreamforce 2015, Salesforce announced its IoT Cloud powered by Thunder—the most powerful real-time event processing engine—will be in pilot the first half of 2016. This is quite an exciting news, but at the same time it doesn’t come as a surprise at all. Salesforce has been collaborating with IoT leaders—PTC ThingWrox, ARM, etc.—for the past 2 years to get IoT data streams from connected consumer products, industrial equipment, and machines into Salesforce Analytics Cloud. It makes sense to have an IoT Cloud as a centralized platform that connects to the IoT data and feeds the data to every Salesforce Cloud so that Sales Cloud, Service Cloud, Marketing Cloud, Communities, Analytics and custom apps can take action in real time. Wave is Salesforce Analytics Cloud that helps companies tap into customer insights. It is built based on principles of mobility, indexed search, schema-free architecture—supporting varied structure of the data from Big Data to IoT.