{"id":13789,"date":"2018-11-08T11:00:24","date_gmt":"2018-11-08T19:00:24","guid":{"rendered":"http:\/\/www.palada.net\/index.php\/2018\/11\/08\/news-7556\/"},"modified":"2018-11-08T11:00:24","modified_gmt":"2018-11-08T19:00:24","slug":"news-7556","status":"publish","type":"post","link":"https:\/\/www.palada.net\/index.php\/2018\/11\/08\/news-7556\/","title":{"rendered":"What is the IoT Edge?"},"content":{"rendered":"

Credit to Author: Cyril Perducat| Date: Thu, 08 Nov 2018 13:59:21 +0000<\/strong><\/p>\n

Each of us can point to a new technology that changed life as we knew it. The TV remote. The PC or Mac. Streaming music and video. In the recent business world, disruptive technologies have included mobility, sensing, analytics, IoT, IoT Edge and, last but not least, cloud<\/a>.<\/p>\n

The cloud was\u2014and remains\u2014huge. The phenomenon of cloud computing led to life-changing digital services such as a revamped Netflix business model. It also launched a frenzy of corporate efforts to move enterprise IT applications to the cloud, which delivers highly scalable computing power, low-cost data storage, and easier access to that data.<\/p>\n

Now, more than a decade later, we\u2019re all taking another look at the big brain that is the cloud. For sure we need the cloud, especially for processing huge volumes of data to build, test, and perfect AI models<\/a>. But does it make business sense to push everything there? When you consider critical environments such as heavy processing (Oil & Gas, petro chemicals), nuclear plants, and mission-critical facilities such as hospitals, the answer is probably no.<\/p>\n

“Every big brain must be complemented by strong reflexes that are fast, clear, and commanding.\u00a0 That\u2019s the IoT Edge.”<\/span><\/h3>\n

\"\"<\/a> <\/p>\n

Kicking network latency to the curb<\/strong><\/span><\/p>\n

IoT Edge comes into play when decisions must be as fast as reflexes. Close to the source of the data for reduced network latency, edge devices that enable this quick decision-making can range from a small, handheld device to an edge gateway.\u00a0 Even self-driving cars can be considered a large and sophisticated IoT edge device. The car\u2019s brain can\u2019t be in the cloud; the reflexes need to come right away from the car.\u00a0 All edge devices enable the use of real-time, local information to improve monitoring and control of efficiency, reliability, and safety risk parameters.<\/p>\n

What can these devices tell us based on the real-time data they collect from sensors?<\/p>\n

\u201cThis machine is too hot.\u201d<\/em><\/p>\n

\u201cThis device is about to fail.\u201d<\/em><\/p>\n

\u201cThis remote oil pump really does need a field service engineer to service it.\u201d<\/em><\/p>\n

I\u2019m not talking about a cloud v. IoT edge scenario. You need both. IoT makes it possible to create a continuous information loop where data from devices at the edge \u2014 that is, either on-premise or completely remote \u201con the field\u201d \u2014 can link up to cloud-based enterprise applications and\/or push cleaned-up data to the cloud for advanced analytics. The cloud needs the edge and, at the same time, the edge needs the cloud (where you train the AI models executed at the IoT edge).<\/p>\n

A balancing act<\/strong><\/span><\/p>\n

The goal is to find the right balance between what sits at the edge versus what sits in the cloud (either public or private). An IoT edge strategy makes sense for:<\/p>\n