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Insurers are then able to reprioritize the focus of their workforce on customer retention, or even scaling for growth. With low interest rates putting pressure on expenses, CPA goes beyond robotic process automation, cutting costs while maintaining service. Companies large and small are focusing on “digitally transforming” their business, and few such technologies have been … Continue reading “What Is Cognitive Automation? A Primer”

Using this, agents can chat across teams within a ticket via email, Slack, or Zendesk’s ticketing system. This packs all resolution information into a single ticket, so there’s no extra searching or backtracking needed to bring a ticket through to resolution, even if it involves multiple agents. Gladly is best suited for support teams that … Continue reading “Zendesk vs Intercom: A comprehensive comparison guide”

The medical chatbot matches users’ inquiries against a large repository of evidence-based medical data to provide simple answers. This free AI-enabled chatbot allows you to input your symptoms and get the most likely diagnoses. Patients love speaking to real-life doctors, and artificial intelligence is what makes chatbots sound more human. In fact, some chatbots with … Continue reading “The 3 types of AI chatbots and how to determine the best one for your healthcare product by Sunpreet Narang Unboxing Product Management”

For example, Freshchat helped Fantastic Services engage with their website visitors by routing customers to sales or support using its IntelliAssign feature. Customers are sent to the right person in the first instance, reducing wait time and frustration. When potential customers visit your website, no matter how clean and responsive the design, they may be … Continue reading “Find out what you can achieve with your own easy-build chatbot”

A research paper on deep learning-based image recognition highlights how it is being used detection of crack and leakage defects in metro shield tunnels. Other machine learning algorithms include Fast RCNN (Faster Region-Based CNN) which is a region-based feature extraction model—one of the best performing models in the family of CNN. Artificial neural networks identify … Continue reading “Free Image Recognition Beginners Program Online Certificate Learning on Neural Network”

In the implementation, we take the minimal error rate as the error rate over the entire test set, and the threshold for support as 5% of the data. High-level features include a list of pre-defined high-level metrics that are commonly used in error analysis, such as document length [16], part-of-speech tags  [14], and word overlap (for … Continue reading “A Review for Semantic Analysis and Text Document Annotation Using Natural Language Processing Techniques by Nikita Pande, Mandar Karyakarte :: SSRN”