Organizations, in their quest to remain ahead of competition, continuously explore opportunities for innovation in their business processes. Artificial Intelligence and Digital Knowledge Management could be the key drivers for companies to innovate and improve productivity and enhance bottom lines. Today the three pillars which drive innovation.
Spring and River, an AI solutions company who has:
Spring and River uses a Consulting and Collaborative approach with the three pillars to help create the competitive edge.
The problem statement is ready. you now want solutions built for you.
We have expertise in multiple AI techniques one or many of which may be required in your case
Natural Language Processing: You have a lot of data in textual form. The texts contain qualitative information and opinions, as well as numerical data and tables. The relevant data has to be extracted and put in a structured database.
Computational Statistics: We have expertise in multiple computation intensive statistical tools and we can use them as required:
Machine Learning: We use multiple machine learning techniques to analyze and understand data. We build rules and models from a subsection of the data (training data) and check its predictions on the entire data, learning from variations to improve models and then make predictions for the future. Techniques can be classified in three types:
Data Mining: We use tools and our own code to extract patterns and knowledge from masses of data which were previously unknown but are key to understanding symptoms and / or threats.
Deep Learning: We use deep learning techniques for Image processing and speech recognition simulating the function of the brain. We thereby recognize images and understand oral communication which has multiple uses in science and commerce.
AI for Robotics: Artificial intelligence and robotics combine to automate tasks in many areas. AI introduces flexibility and learning capabilities in rigid robotic solutions.
Chatbots: We build ChatGPT enabled bots which use machine learning and NLP to simulate human like conversational experience. These can provide answers to user questions at the click of a mouse.
Computer Vision: We use AI driven computer vision to understand, recognize and analyze various types of visual data, to find previously unidentified inconsistencies, patterns and relationships.