Artificial Intelligence & Machine Learning are the buzzwords today. Technologies are constantly evolving with advancements in Machine Learning. For instance, facial recognition in mobile phones, automated cars, language translation, etc. is all possible due to the massive developments in computer vision and Natural Language Processing (NLP). In this blog, we discuss the future of Machine Learning.
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Data is the new gold! And Big Data and data analytics are proving to be highly essential for businesses and organizations. The application of artificial intelligence and various data sources that companies use are becoming comprehensive. Tech experts predict that the future boasts of further innovations and advancements as far as Big Data is concerned. In this blog, we discuss the trends in Big Data that will dominate the future. Read on to know more.
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Big Data is a revolutionary technology that can contain a vast amount of data and is exponentially growing in today’s times. Big Data is so huge that conventional data management tools cannot process it. Some examples are social media, stock-exchange, etc. Big Data is further categorized into structured, unstructured, and semi-structured data. In this blog, we discuss how e-commerce players are leveraging Big Data for their business.
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Artificial intelligence is booming and it is constantly changing the way we function and how businesses operate. In this blog, we discuss the difference between Artificial intelligence and human intelligence.
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The basic understanding of Robotics Process Automation (RPA) is that it helps to automate mundane repetitive tasks. RPA can mimic tasks and operations and also analyze data. Over the last few years, the use of RPA has increased across various industries. This is because RPA helps to free important resources for high-value tasks/operations. Experts believe, that the scope of Robotics Process Automation in the future is vast and it will be applied widely across businesses. In this blog, we discuss the future and scope of RPA. Read on to learn more about this.
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Cloud computing is one of the most popular emerging technologies today. It is regarded as the most advanced and evolved form of technology in the field of IT. Over the past decades, there have been major developments in cloud computing. And it is only recently that industries, companies, and businesses have begun to realize their full potential. In this blog, we discuss how cloud computing will impact the upcoming future. Read on to know more about how cloud computing will change the future.
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Artificial intelligence or AI is responsible for smart machines that can perform tasks that otherwise require human intervention. The world is struggling to combat COVID-19 and innovative technologies could bring a solution to this pandemic. AI is one such technology that can help us overcome the coronavirus pandemic which has changed how we function entirely. Emerging technologies like Artificial Intelligence and Machine Learning can be used to predict pandemics further and also track the COVID-19 crisis we are going through. Read this blog, to find out how AI and Machine Learning can impact the COVID-19 Pandemic.
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Do you wonder what is internet of things after all? The internet of things basically means all the billions of devices which are connected to the internet. These devices are capable of gathering and sharing data. With the advancements in the internet connection and wireless network connections every object or device can now be part of the internet.
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Technologies have shaped our lives in a way that has offered us ease of living. A comfortable lifestyle lies at the core of modern-day living. And with the internet of things, the access, control, and comfort of commodities have reached another level.
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The Covid-19 pandemic is forcing companies to make digital transformations especially it has highlighted the need for a resilient work platform. A workforce that is agile, flexible, and most importantly productively operational from remote locations is the need of the hour. Across industries and businesses, the pandemic has shown organizations its inability to cope with such challenges owing to conventional platforms and workforce.
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