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Natural Language Processing NLP: What it is and why it matters The field of NLP has been around for decades, but recent advances in machine learning have enabled it to become increasingly powerful and effective. Companies are now able to analyze vast amounts of customer data and extract insights from it. This can be used for a variety of use-cases, including customer segmentation and marketing personalization. Read on to get a better understanding of how NLP works behind the scenes to surface actionable brand insights. It’s a way to provide always-on customer support, especially for frequently asked questions. It turns

13 Natural Language Processing Examples to Know Instead, the platform is able to provide more accurate ensure patients receive the correct treatment while cutting down visit times in the process. Called DeepHealthMiner, the tool analyzed millions of posts from the Inspire health forum and yielded promising results. Matt Gracie is a managing director in the Strategy & Analytics team at Deloitte Consulting LLP. With more and more consumer data being collected for market research, it is more important than ever for businesses to keep their data safe. All you have to do is type or speak about the issue you are

Why AI And Data Solutions Should Be Outsourced Rather Than Done In-House Data analysts are typically proficient in handling and manipulating data, but not with AI/ML tools for training, tuning, and evaluating predictive models. AI data analytics users may require training in the facets of data related to the ML side of affairs, especially model management and monitoring, explainable AI (XAI), and assessing model performance. Propensity modeling in gaming involves using AI to predict a player’s behavior—for example, their next game move or likely preferences. As industries adopt AI, the value of human creativity, problem-solving and strategic thinking will only