CogniAIm Platform is designed as an amalgamation of best-of-the-breed standards, algorithms and technologies. Our framework is designed to function more efficiently and intelligently than traditional frameworks. It contains a number of Cognitive Components, which come together to provide a solution. Platform’s core components are behind our cognitive AI products and offerings.
CogniAIm Platform utilizes capabilities like natural language processing and machine learning as well as deep learning to work and perform human-like tasks. It learns through various types of data integration inputs, processes data through the algorithmic engine and provides interactions through the responsive user interfaces and interactive customer channels. CogniAIm Platform helps us make better automated decisions, determine strategic direction of the products, and stay competitive.
CogniAIm Platform Architecture provides solid foundation for our Products and Offerings. It’s componentized multi-layered nature allows us to offer segmented features for our products. Our architecture includes best of the breed technology choices, and follows open industry standards for each of the architectural component.
CogniAIm Platform Architecture Capabilities:
Intelligent Interaction: Platform understands human language and sentiments, and is able to provide an intelligent conversational interaction. For example, it can converse with a patient to understand medical situation and provide relevant doctor recommendation.
Modularity: Modular platform components allow quick selection and swap of technologies and capabilities. For example, a particular health system integration technology can be utilized to provide integration to that system.
Seamless Experience: Core Platform Engine provides seamless functionality while utilizing multi-channels and UI interaction points. For example, a customer can book an appointment via Messenger or an AI powered Assistant on the Business Website.
Data Synthesis to Insights: Platform synthesizes disparate data from multiple integration points and provides actionable business insights through the learning algorithms. For example, through the Survey Assistant, you can gain insight into a product's popularity and decide to increase the stock.