Digital transformation powered by AI and ML to help publishers stay ahead of the competition
We are a firm believer that the future of content publishing and education lies in emerging and disruptive technologies like Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics, Natural Language Processing (NLP), IT Infrastructure, and Cloud Computing Services.
Pushing the limits of automation in e-publishing with emerging technologies
Artificial Intelligence (AI) & Machine Learning (ML)
Augmented Reality (AR) /
Virtual Reality (VR)
Impelsys solutions will tap into the AI & ML service layer which contains a number of services that will be developed and deployed independently. The services aim to provide AI-driven features to its customers by building AI enablers and AI Solutions.
Knowledge Graphs contains millions of objects and many millions of facts about objects and relationships between different objects to capture the intent.
A key service that will help enrich the content metadata, categorize the content, granularize, help with slice & dice of the content with the aid of knowledge graphs.
Profiling users into different groups based on the characteristics such as age, personality traits pr behaviour to optimize the products and advertising to different customers.
Text Summarization refers to the technique of shortening long text to create coherent and fluent summary having only the main points outlined in the text. The two types of summarization techniques are: Abstractive and Extractive Summarization.
Generate new set of questions & answer set for a content unit (Journal, Article or eBook) using AI-NLP based algorithms.
A Recommendation Engine filters the data using different algorithms and provides recommendations that is most relevant to a user.