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During the past 10 years, cloud computing has served business needs such as reporting, analytics, email, and online storage. Also, public cloud computing has maintained databases for apps and IT infrastructures for corporate operations.

Today, most of the business' operations are assumed to take place in the cloud. With Amazon Connect, now it is possible to move your company's customer call center to the public cloud. You'll lower costs, streamline operations, and enjoy increased scalability. So, here's a brief on how Amazon Connect is transforming traditional contact centers.

Read on this article by María Claver, R&D Software Engineer and Pablo Muñoz, Software Engineer at Linke to find out why you should use Amazon Connect to improve customer service system.

2020 is set as the year of digital and technological transformation of worldwide IT companies, emerging ecosystems will change the way organizations take decisions in order to be more competitive and efficient while offering the best experience to their customers. 

As revealed by Gartner, there are five top trends that will be of great help to IT companies, through different technologies that will offer a wide competitive advantage in the next 10 years. The Gartner Hype Cycle for Emerging Technologies highlighted the Emotional Artificial Intelligence among the 21st new technologies in 2020.

The rapid development of artificial intelligence over the next 20 years will completely change the landscape in which businesses operate. Recent innovations in AI have allowed data scientists to produce tools that can have a genuine disruptive impact on traditional business models across a range of sectors.

Amazon takes every opportunity it sees. Through AWS DeepLens it's brought deep learning closer to developers of all skills. Although it looks like an oversized web cam, it's more of a fully integrated software platform than a camera.

Hardware improvements coupled with advancements in frameworks, data and algorithms has produced the means to classify our own images. One of the essential aspects of this technology is the detection of objects within images. 

Machine learning (ML) is required to study the speed, volume, and diversity of Big Data. The findings of patterns and anomalies are used by DevOps teams to improve the development of new applications.