When data is spread out in a jumbled mess across various platforms, it’s astonishingly hard for the business to make sense of it and come away with any actionable insights.
Information Extraction (IE) provides automated retrieval of information related to a selected topic from a body or bodies of text. IE tools make it possible to pull information from text documents, databases, websites or multiple sources.
For the average business professional, deriving meaning from a colossal and disorganised set of data is painfully difficult and overwhelming.
Text Summarization automatically shortens a set of Text or URL that is provided and summarises the most important or relevant information within the original content.
Organisations are faced with innumerable challenges such as campaign management, forecasting future profits and justifying customer loyalty programmes that always seem to tie back to their business and customer data.
Identifies and extracts information from a text provided to understand whether the underlying sentiment behind the product and services they offer is neutral, positive or negative.
Workload on security and management staff to monitor and track surveillance system. Delay in capturing suspicious activities taking place in real time and providing prompt response.
AI algorithms that will detect fire scenarios from video data. The videos containing fire scenario is uploaded. The Machine Learning model detects the fire in the videos.
Violent behaviours pose a serious threat to personal security and social stability. Hence, it is difficult to maintain law and order.
Analyse crowd activity and, in turn, detect, localize, and potentially predict abnormal crowd behaviour and violent activities in them.