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The Future of Work: Embracing Artificial Intelligence for Productivity and Growth

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Understanding AI: We'll start by explaining what AI is and how it works. We'll discuss machine learning, deep learning, and other types of AI and provide some examples of how they're being used in the workplace. We'll discuss how AI can help businesses streamline operations, automate routine tasks, and gain valuable insights from data. The Challenges of AI: Of course, AI isn't without its challenges. We'll discuss some of the ethical concerns surrounding AI and address some of the common fears people have about AI taking over jobs.


Winning in retail with IBM Watson Knowledge Catalog

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Multi-channel is the new norm โ€“ consumers are not completely abandoning brick-and-mortar stores. Instead, they expect seamless shopping experiences across online, mobile and offline stores. They might first browse and research online, then purchase or pick-up in-store--or the other way around. Successful retailers who can gain customer loyalty are those who can deliver a superior seamless experience across all channels. Data is the new gold โ€“ The additional touchpoints mean retailers have greater opportunity and more data to identify their customers and discern their preferences. However, without a proper data and analytics infrastructure, many retailers struggle to mine and analyze huge volumes of data generated daily to gain valuable insights that can help them innovate.


How to get a machine learning job in 2019

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So, it should come as no surprise that the best and most lucrative careers of today and tomorrow belong to those who know how to work with a wide range of machine learning platforms and languages. Whether you're interested in joining Google as a salaried data scientist or simply want to ensure that you're up to date on the latest trends in tech so you can edge out the competition in IT, having a solid understanding of machine learning and large-scale data analysis is absolutely crucial. The good news is that you no longer need to invest an exorbitant amount of time and money into a traditional computer science degree in order to get the skills you need to land a machine learning job. In fact, four of the key skills you'll need to have in order to join this increasingly lucrative yet competitive field are taught in the Machine Learning & Data Science Certification Training Bundle, which is currently available for over 95 percent off at just $35. If you want to understand and work with machine learning and AI, you need to be able to "speak" the right languages.