Artificial Intelligence
The role of data in business growth is becoming clearer. As the world becomes digital, customer interactions and depth of perception increase. But with the great availability of data, only those who are able to collect, analyze, and act quickly will gain a competitive advantage. Without next-generation technologies, such as artificial intelligence (AI), to complement a human workforce, organizations are unlikely to reap significant benefits from the data.
Simplify and accelerate the creation, training, and deployment of machine learning models. Use automated machine learning to identify proper algorithms and adjust hyperparameters more quickly. Improve productivity and reduce costs with automatic sizing computing and DevOps for machine learning.
Machine Learning
The goal of cognitive computing is to help developers create applications that can see, hear, speak, understand, and even begin to reason.
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Vision - Image processing algorithms to intelligently identify, caption, index, and moderate your images and videos.
Speech - Convert spoken audio into text, use voice for verification, or add speaker recognition to your application.
Knowledge - Map data and complex information to solve tasks, such as intelligence recommendations and semantic research.
Language - Enable your applications to process natural language with pre-built scripts, evaluate feelings, and learn how to recognize what users want.
Cognitive Computing
Create a tailored conversation assistant for your business and deliver natural, customized experiences across multiple applications and devices. Cognitive computing allows your bot to see, hear, and interpret in more humane ways. Create a bot that can recognize a user in photos, moderate content, make smart recommendations, translate a language, and more.
Conversation as a Plataform / Chatbot
