PAT RESEARCH is a B2B discovery platform which provides Best Practices, Buying Guides, Reviews, Ratings, Comparison, Research, Commentary, and Analysis for Enterprise Software and Services. We provide Best Practices, PAT Index™ enabled product reviews and user review comparisons to help IT decision makers such as CEO’s, CIO’s, Directors, and Executives to identify technologies, software, service and strategies.

Next-Generation Text-To-Speech Technology


3. Personalizing the customer experience: Chatbots excel at collecting customer data from support interactions. After all, it’s the computer that’s doing the work. The advantage is that live support agents can use this information to personalize their interactions with customers. Devine says chatbots serve as virtual assistants that can feed customer data to the agent in real time, so the agent can give the customer good information and solutions based on current needs as well as past interactions with the company.

It’s time to change your cleaning habits. It’s time for CleanBot Cleaning! This small, circular automated vacuum can revolutionize the way you care for your home or other surroundings (like the office). If you want your floors to be free of hair, dander, dirt, dust, and more, this cute, little robotic vacuum has got you covered. This can help protect you and your loved ones against the dangers of indoor allergens! And with this exclusive online offer, you get to experience the future of cleaning with a great deal.  


PAT RESEARCH is a B2B discovery platform which provides Best Practices, Buying Guides, Reviews, Ratings, Comparison, Research, Commentary, and Analysis for Enterprise Software and Services. We provide Best Practices, PAT Index™ enabled product reviews and user review comparisons to help IT decision makers such as CEO’s, CIO’s, Directors, and Executives to identify technologies, software, service and strategies.

Next-Generation Text-To-Speech Technology


4. Chatbots make friends and build relationships: Most companies wish their agents had more time to make outbound, proactive contact with their customers. Chatbots are there to help, and in some ways, they are revolutionizing the way brands stay in touch with their customers. Whether it’s a simple email or text on a customer’s birthday, or a quick check-in to ask if they are enjoying the brand’s product or service, chatbots are helping to foster brand loyalty. Devine says, “This may sound counterintuitive, but the most sophisticated chatbots can provide a more human experience than an actual human. They don’t have bad days and they don’t get frustrated by typical customers.”
Creative Virtual, winner of the Queen’s Awards for Enterprise: Innovation 2017, is a global leader in conversational self-service solutions that bring together humans and artificial intelligence to enable anywhere, anytime customer and employee engagement. Leading global organisations rely on our award-winning V-Person™ technology to improve their support experience, reduce costs, increase sales and build brand loyalty. Backed by an experienced, expert team as well as an extensive partner network, our innovative virtual agent, chatbot and live chat solutions, along with our knowledge management and business intelligence platform, empower organisations to provide consistent, accurate, personalised and seamless omnichannel engagement.
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”). Speech recognition and natural language understanding are some of the most challenging problems to solve in computer science, requiring sophisticated deep learning algorithms to be trained on massive amounts of data and infrastructure. Amazon Lex democratizes these deep learning technologies by putting the power of Amazon Alexa within reach of all developers. Harnessing these technologies, Amazon Lex enables you to define entirely new categories of products made possible through conversational interfaces. As a fully managed service, Amazon Lex scales automatically, so you don’t need to worry about managing infrastructure. With Amazon Lex, you pay only for what you use. There are no upfront commitments or minimum fees.
Acobot is an artificial intelligence tool. It works to engage customers, answer questions, and produce sales. Acobot generates leads from your website by asking visitors for their email address or telephone number straightforwardly. More importantly, it helps you achieve conversion rate optimization by nudging visitors to act as you expect with interactive call to actions at the right points. Acobot is fully automated. It does all the job and continuously optimizes the conversion rate by itself. The longer it works for you, the more results it delivers to you.
Rulai also integrates with most messaging channels, customer service software, enterprise business software, and cloud storage platforms. You can either build a Ruali chatbot from scratch with its drag-and-drop design console and let its AI adapt to your customers or you can implement a pre-trained chatbot that has been fed data from your specific industry.
Rasa NLU & Core allows for more human-like dialogue, trained using interactive, and supervised machine learning. Rasa Core picks up patterns from real conversations and also takes the history and external context of a conversation into account. The Rasa NLU engine is an open source tool for intent classification and entity extraction, and offers natural language understanding for bots and assistants. It features the capability to turn natural language into structured data. It is modeled as a set of high level APIs for building your own language parser using existing NLP and ML libraries. Many developers world-wide are using it…

Fortunately, the next advancement in chatbot technology that can solve this problem is gaining steam — AI-powered chatbots. By leveraging machine learning and natural language processing, AI-powered chatbots can understand the intent behind your customers’ requests, account for each customer’s entire conversation history when it interacts with them, and respond to their questions in a natural, human way.

Pros: The visual bot builder makes building complicated bots really easy without loosing the greater picture. And with all the functions that are offered you are not limited by what the bot can do. And things you currently can't do are worked on by the developers immediately to make the product better. It is amazing how fast they pump out great updates!

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Are the travel bots or the weather bots that have buttons that you click and give you some query, artificially intelligent? Definitely, but they are just not far along the conversation axis. It can be a wonderfully designed conversational interface that is smooth and easy to use. It could be natural language processing and understanding where it is able to understand sentences that you structure in the wrong way. Now, it is easier than ever to make a bot from scratch. Also chatbot development platforms like WotNot, Chatfuel, Gupshup make it fairly simple to build a chatbot without a technical background. Hence, making the reach for chatbot easy and transparent to anyone who would like to have one for their business. For more understanding on intelligent chatbots, read our blog.
Cons: Botengine has reduced the workload on the helpdesk department . However ,I fear we may come one day have an advanced Botengine ,years down the line ; which is able to respond to the current complex queries we respond to and thus when that day comes , why would my employer keep me at the job ,when a Bot can do a better job ,without ever getting tired?

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