Cloud computing, which was a completely foreign concept just a few years ago, has transformed the way businesses function today. The Enterprise Cloud Market is expected to reach USD 947.3 billion by 2026, with competitors including Rackspace, Microsoft Azure, and Google Cloud!
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Today, technologies such as artificial intelligence (AI) and machine learning (ML) have become so intertwined in our lives that it is difficult to fathom a future without them. Consider smart virtual assistants (Siri and Alexa), recommendation engines on online purchasing platforms (Amazon and Netflix), self-driving cars, and smart homes, which are all examples of machine learning applications. Certainly, the incorporation of these innovative technical breakthroughs has made our lives a lot easier. We tell you why taking up machine learning is a good career move!
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As small to hypergrowth businesses use automation in their day-to-day duties, robotic process automation is one of the top technologies in today’s market. Here’s why you should learn RPA. There are several reasons why you should learn robotic process automation.
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Smart toys, which are encrusted with technology so complex that it may as well be magic, are all the rage among intelligent parents these days. Here are some clever children’s toys that will help your youngster grow via play. In this blog, we discuss the internet of things toys for children.
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The technology underlying the internet of things (IoT) has been in development for quite some time. But it wasn’t until the early 2000s, when home automation systems first appeared on the market, that IoT became a popular phrase. In this blog, we discuss the Internet of Things Trends 2022.
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In this blog, we discuss top RPA predictions for the year 2022. Read on to find out more…
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Despite the fact that most of us are afraid of AI, technology is helping us in a variety of ways. Artificial Intelligence in Healthcare is transforming the medical business by assisting patients. In this blog, we discuss the beneficial influence of Artificial Intelligence in the healthcare industry.
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Here are the predictions for the data world in 2022. These tend toward data science/machine learning / current data stack. In this blog, we discuss various aspects of data.
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If you are still at the beginning of your automation journey and feel a little out of your depth trying to deal with the obstacles of deploying RPA, this bog will help you. We discuss the challenges of implementing RPA.
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Machine Learning and Big Data are the present IT industry’s “blue chips.” Big data storage analyzes and extracts information from large amounts of data. In this blog, we discuss Machine Learning and Big Data.
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