Aricent helps companies get the most out of an industrial-scale automation by leveraging AI and machine learning

The word automation was first coined in 1946 by an engineering manager at Ford Motor Company to describe automatic devices and controls in mechanized production lines. Seventy-two years later the definition now includes computers and robots that leverage artificial intelligence (AI) to engage in making highly complex decisions independent of humans. AI includes a number of subcategories, including deep learning, machine learning (ML), natural language processing (NLP) and robotic process automation (RPA).

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RPA uses AI and machine learning to super-charge industrial-scale digital transformations

The term digital transformation-defined as technology that fundamentally changes how companies deliver value to customers-has become a household term recently and for a good reason. A wave of new technologies and services such as artificial intelligence, machine learning, augmented and virtual reality, blockchain, cloud, software-as-a-service, edge computing, Internet of Things, among others, are upending business processes and customer relations. And the fifth generation of mobile communications, or 5G, is just around the corner, which is expected to supercharge them all.

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The next-generation of automation comes to life with AI and machine learning.

Over the decades, business process automation has had a significant positive impact on capital and labor productivity and the standard of living in countries around the world. Now, we are entering a new era for business process automation with the introduction of robotic process automation (RPA).

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In 2017, artificial intelligence (AI) and the Internet of Things (IoT) were the hottest technology trends, garnering a lot of attention from technophiles. There is no doubt that these two technologies are going to revolutionize the digital world in the same way smartphones transformed the first decade of the 21st century.

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Last month (April 2018), I represented Aricent at the MPLS+SDN+NFV World in Paris and in attendance were some of the world’s largest mobile operators including AT&T, DT, Turk Telecom and Reliance Jio. SDN/NFV is coming to fruition and 5G is almost here. The main theme at the show was automation - and what transpired was that while many operators have been making good ground, end-to-end automation of the network was a conundrum.

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“Start now to reach for your movie scheduled in the next one hour as there is heavy traffic in the usual best route”. “2 days remaining for your journey to begin”. “Please be prepared to receive showers on your way to work”. “We have customized your news feed based on your past interests!”. “There is a suggested action item for you in this email. How do you like to respond?” What would we do without alerts like these that help make our life simple in this busy and hectic world! How do they happen though? Simple! They’re just a replication of the human intelligence and thought process, and help machines “learn” the way humans think.

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