Understanding the types of AI, how they work, and where they might add value is critical. AI, in short, is a pretty big deal.
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Having mass amounts of data means nothing; what you do with that data is what matters. That's where data mining comes in.
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Most of the market trends, insights from top business leaders, and industry data depict that as soft skills are of equal importance, therefore they should not be overlooked. The futuristic leaders, workers, and executives will need to have a hybrid skill set to foster in the extremely tech-oriented world.
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Automation Anywhere, one of the global leaders in robotic process automation (RPA), announced a deeper integration with Microsoft to bring its purely web-based RPA platform to customers in the Azure cloud.
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Companies rely on the cloud for modern app development. Learn the key features that differentiate cloud computing from traditional, on-premises IT architectures.
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Businesses are using machine learning to improve all the outcomes, by optimizing operational workflows and increasing customer satisfaction.
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As data science has infused across nearly every imaginable field, the work of programmers, analysts, visualization specialists, and myriad other disciplines come together to form modern data science teams tackling society's grand challenges.
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Machine learning and artificial intelligence are growing fields and growing topics of study. While the advanced implementations of machine learning we hear about in the news might sound scary and inaccessible, the core concepts are actually pretty easy to grasp. Here is the list of the most popular resources for machine learning beginners. Some of these books will require familiarity with some coding languages and math, but we'll be sure to mention it when that's the case.
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