{"id":296,"date":"2019-08-09T11:29:38","date_gmt":"2019-08-09T11:29:38","guid":{"rendered":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/?p=296"},"modified":"2019-08-09T11:29:38","modified_gmt":"2019-08-09T11:29:38","slug":"business-benefits-of-iot-can-be-realized-only-by-effective-ai-deployment","status":"publish","type":"post","link":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/business-benefits-of-iot-can-be-realized-only-by-effective-ai-deployment\/","title":{"rendered":"Business benefits of IOT can be realized only by effective AI deployment"},"content":{"rendered":"<p>\t\t\t\tIt is a time in history when devices that rove around the globe is empowered with a plethora of multi-functional technologies that can capture gestures, show clear readings to proximity temperature, etc. the list just goes on.<\/p>\n<p>Internet of things is to be held accountable for such versatility, in bits and pieces, but does that clearly throw light upon the importance of this technology? With the \u2018<strong><a href=\"https:\/\/en.wikipedia.org\/wiki\/Big_Bang_(South_Korean_band)\">Big Bang<\/a><\/strong>\u2019 of data and connected devices (the key foundation of IoT), the business sector is all warmed up.<\/p>\n<p>However, the point of discussion over here is that in the absence of understanding to interpret data, and comprehend which one should take a lower priority, IoT is nothing but an unstructured flow of ineffective data.<\/p>\n<p>The absence of <strong><a href=\"https:\/\/en.wikipedia.org\/wiki\/Internet_of_things\">AI deployment in IoT<\/a> <\/strong>enabled devices stands as a ball and chain towards the blistering development of technology that put a veil on the real prize of humankind the astonishing transformation prospects, which IoT offers.<\/p>\n<p>In support of this argument, market survey reports state that more and more organizations have turned to AI to not only improve but also change their business operations.<\/p>\n<h2><strong>AI boosts IoT enabled devices<\/strong><\/h2>\n<p>If a company has picked up pace in recent years, it is quite obvious to say that the business organization has inculcated rightful amalgamation of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Uber\"><strong>AI and IoT<\/strong><\/a>. For instance, <strong><a href=\"https:\/\/en.wikipedia.org\/wiki\/Uber\">Uber uses AI<\/a><\/strong> to connect the right passenger with the driver, thanks to customer behavior recognition and autonomous driving approach of data science.<\/p>\n<p>For a highly operated IoT device, in order to comprehend what\u2019s really taking place around a device and to respond dynamically, AI is the key tool. For this, AI needs to be deployed in the right manner, in a bid to realize the IoT offered benefits.<\/p>\n<h2><strong>Key Considerations for using AI in IoT<\/strong><\/h2>\n<p>To incorporate AI and derive maximum value from the <strong><a href=\"https:\/\/en.wikipedia.org\/wiki\/Internet_of_things\">data IoT<\/a><\/strong> makes available, business needs to consider some key steps.<\/p>\n<ol>\n<li>Consider how to incorporate AI training into the process<\/li>\n<li>Ensure the AI systems are constantly refined and enhanced<\/li>\n<\/ol>\n<h2><strong>To conclude with AI in IoT<\/strong><\/h2>\n<p>AI training is as crucial as algorithmic coding for traditional systems, however, in the present scenario that is a worldwide challenge.<\/p>\n<p>With the right training model, <strong><a href=\"https:\/\/en.wikipedia.org\/wiki\/Internet_of_things\">IoT models<\/a><\/strong> can balance a pragmatic approach toward devices that have human intervention and contribution at the forefront.<\/p>\n<p>If your business has IoT enabled devices, it is quite likely that you will aim to upgrade it with AI, but only with the helping hand of a professional.<\/p>\n<p><a href=\"https:\/\/www.spinanalyticsandstrategy.com\/\"><strong>SPIN<\/strong><\/a> is that professional you seek. Contact today!\t\t<\/p>\n","protected":false},"excerpt":{"rendered":"<p>It is a time in history when devices that rove around the globe is empowered with a plethora of multi-functional<\/p>\n","protected":false},"author":1,"featured_media":555,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,4],"tags":[14,25,28,36,58,62,70,86,87,89,107,125],"class_list":["post-296","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-blockchain","tag-ai-and-iot","tag-artificial-intelligence","tag-big-bang","tag-blockchain-technology","tag-data-iot","tag-deep-learning","tag-digital-transformation","tag-internet-of-things","tag-iot-models","tag-machine-learning","tag-robotics","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/posts\/296","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/comments?post=296"}],"version-history":[{"count":0,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/posts\/296\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/media\/555"}],"wp:attachment":[{"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/media?parent=296"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/categories?post=296"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/tags?post=296"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}