Pragma Edge Provides services on IBM Watson and BlueMix Watson can understand all forms of data, interact naturally with people, and learn and reason, at scale.
Watson Conversation: Quickly build, test and deploy bots or virtual agents across mobile devices, messaging platforms, or even on a physical robot to create natural conversations between your apps and users.
Watson Conversation allows you to quickly build, test and deploy a bot or virtual agent across mobile devices, messaging platforms like Slack or even on a physical robot. Conversation has a visual dialog builder to help you create natural conversations between your apps and users, without any coding experience required.
The Document Conversion service converts various types of documents into formats that can be understood by Watson services, such as the Retrieve and Rank service.
Language Translator translates text from one language to another. The service offers multiple domain-specific models that you can customize based on your unique terminology and language. Use Language Translator to take news from across the globe and present it in your language, communicate with your customers in their own language, and more.
Personality Insights extracts personality characteristics based on how a person writes. You can use the service to match individuals to other individuals, opportunities, and products, or tailor their experience with personalized messaging and recommendations. Characteristics include the Big 5 Personality Traits, Values, and Needs. At least 1200 words of input text are recommended when using this service.
Analyze text to extract meta-data from content such as concepts, entities, keywords, categories, sentiment, emotion, relations, semantic roles, using natural language understanding. With custom annotation models developed using Watson Knowledge Studio, identify industry/domain specific entities and relations in unstructured text.
The Natural Language Classifier service understands the intent behind text and returns a corresponding classification, complete with a confidence score. For example “What is the weather like today? or “Is it hot out?” or “Is it going to be nice today?” are all ways of asking about “temperature”. Use NLC to answer questions in a contact center, create chatbots, categorize volumes of written content and more.
Retrieve and Rank can surface the most relevant information from a collection of documents. For example, using R&R, an experienced technician can quickly find solutions from dense product manuals. A contact center agent can also quickly find answers to improve average call handle times. The Retrieve and Rank service works “out of the box,” but can also be customized to improve the results.
Watson Speech to Text converts audio voice into written text. Use Speech to Text to transcribe calls in a contact center to identify what is being discussed, when to escalate calls, and to understand content from multiple speakers. Use speech to text to create voice-controlled applications – even customize the model to improve accuracy for the language and content you care about most such as product names, sensitive subjects, or names of individuals.
Text to Speech converts written text into natural sounding audio in a variety of languages and voices. You can customize and control the pronunciation of specific words to deliver a seamless voice interaction that caters to your audience. Use text to speech to develop interactive toys for children, automate call center interactions, and communicate directions hands-free.
Visual Recognition understands the contents of images – visual concepts tag the image, recognize food, find human faces, approximate age and gender, and find similar images in a collection. You can also train the service by creating your own custom concepts. Use Visual Recognition to detect a dress type in retail, identify spoiled fruit in inventory, and more.
Extract value from unstructured data by converting, normalizing, enriching it. Use a simplified query language to explore that data or to quickly tap into pre-enriched datasets like the Discovery News collection. Discovery News primarily includes English language news sources that is updated continuously, with over 300,000 new articles and blogs added daily, sourced from more than 100,000 sources.
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