We incorporate advanced algorithms to develop ML solutions that can detect patterns and behavior from large data sets.
We can develop solutions that use computer vision to identify and detect abnormalities in events from structure and unstructured data such as videos, audio/voice, images and text
Natural language processing (NLP) refers to the branch of computer science—more specifically, the branch of artificial intelligence, or AI—that deals with enabling computers to understand text and spoken words in the same way that humans can.
NLP combines computational linguistics – rule-based modeling of human language – with statistics, machine learning and deep learning models. Together, these technologies enable computers to process human language in the form of text or audio data and “understand” its full meaning, including the intent and feeling of the speaker or writer.
NLP powers computer programs that translate text from one language to another, respond to spoken commands, and quickly summarize large volumes of text—even in real time. There’s a good chance you’ve interacted with NLP in the form of voice-activated GPS systems, digital assistants, speech-to-text software, customer service chatbots, and more. consumer convenience. However, NLP is also playing a growing role in business solutions that help streamline business operations, increase employee productivity, and simplify critical business processes.
Deep learning is a machine learning technique that teaches computers to do what humans do naturally: learn by example. Deep learning is an important driverless car technology that can recognize a stop sign or distinguish a pedestrian from a lamppost. It is the key to voice control of consumer devices such as phones, tablets, TVs and hands-free speakers. Deep learning has been getting a lot of attention lately, and for good reason. It achieves results that were previously impossible.
Custom building innovative solutions that are trained to handle situations without human intervention.
Data science is a multidisciplinary field that aims to improve decision making. The purpose of research data is to provide important information for business decisions, strategic planning, research, innovation, education, etc.
