{"id":8119,"date":"2017-11-16T00:51:54","date_gmt":"2017-11-16T00:51:54","guid":{"rendered":"http:\/\/faisalhoque.com\/?p=8119"},"modified":"2017-11-16T00:51:54","modified_gmt":"2017-11-16T00:51:54","slug":"future-of-work-with-ai-machine-learning-and-deep-learning","status":"publish","type":"post","link":"https:\/\/staging.frameroinfotech.com\/fh\/future-of-work-with-ai-machine-learning-and-deep-learning\/","title":{"rendered":"Future Of Work With AI, Machine Learning, and Deep Learning"},"content":{"rendered":"
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Still in the early stages of development and use, artificial intelligence, machine learning, and deep learning are already impacting how we live, work, and play. Is your organization ready to embrace and leverage these disruptive innovations?<\/h3>\n

BY\u00a0FAISAL HOQUE<\/a><\/strong><\/p>\n

W<\/span>hen it granted citizenship to Sophia, a robot manufactured by Hanson Robotics, Saudi Arabia became the first country in the world<\/a> to publicly embrace the close relationship between artificial intelligence (AI) and \u201creal life.\u201d Designed in the image of Audrey Hepburn, this Saudi citizen has already become somewhat of a celebrity, appearing on the Tonight Show and at various global conferences.<\/p>\n

Sophia isn\u2019t alone. In fact, we\u2019ve been using AI in our daily lives for decades. From voice recognition on all smartphones to robots that help you clean the house to virtual assistants that remind you about upcoming business meetings, AI has already proven itself to be a great provider of information, learning, reasoning, planning, and communicating.<\/p>\n

Defined as the effectively simulation of human intelligence processes by computers, AI also incorporates the concepts of machine learning and deep learning. The former comes into play when AI gives inanimate systems the ability to automatically learn and improve from experience (a very \u201chumanlike\u201d trait), while the latter gives computers the ability to learn without being explicitly programmed.<\/p>\n

Machine learning helps companies like Uber determine arrival times for rides, estimate meal delivery times on UberEATS, and compute optimal pickup locations. Google uses deep learning for voice and image recognition algorithms and Amazon employs it to help determine what customers want to watch or buy next.<\/p>\n

Three Ways AI Already Impacts Us\u00a0Today<\/h3>\n

Because AI, machine learning, and deep learning can all be loosely grouped under the same umbrella, its best to think of the trio working in concert to help organizations work smarter, better, and faster. And while all three are still in their infancies on the technological growth curve, it is already impacting in ways that we may not even realize. Here are three of them:<\/p>\n

Simplify our daily lives.<\/strong> According to a Forbes<\/em><\/a> article, $62 billion is lost through poor customer service\u200a\u2014\u200aa deficit that continues to increase with every passing year. AI can help plug that leak by going above and beyond what humans are able to do. Digital assistants have already become common and acceptable shoulders to lean on in daily life\u200a\u2014\u200aand we can expect them to play an even larger role in our lives in the future\u200a\u2014\u200abut they are just the beginning. A recent PwC survey<\/a> unveils that most consumers see AI simplifying their daily lives in the immediate future:<\/p>\n

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Makes our governments more efficient. <\/strong>AI and machine learning have the potential to significantly reduce and contain ongoing operational costs for public sector agencies. Consider the following examples:<\/p>\n