Nowadays, all companies need different types of content across different channels. In fact, digital content is growing at an exponential rate.
Month: September 2022
Text mining is used to analyze useful information from a large amount of data to help with market analysis and customer retention.
An artificial intelligence solution to analyze different data types and sources to optimize decision-making
Data is on the rise quicker than ever, and companies need to make sure that they are well-equipped to manage and extract relevant information across different types and sources of data.
Human expertise is a key part of any process. In this case, human vision is based on a lifetime of learning, context recognition, recognition of objects, and human facial recognition
Information retrieval is an essential piece of the puzzle in decision making. Most companies have huge silos of documents across different systems and data lakes.
General media research is one of the few sources of information that provides the industry with data on listener consumption.
Electoral market analysis is fundamental to build a political brand that communicates relevant messages to its audience.
In order to succeed in today´s digital environment, companies must be able to identify and analyse user behaviour.
Currently, companies have access to extensive content resources, but the impact of this is limited. This is because they lack the ability to match content to specific user preferences.
Social media and enterprise communications monitoring platform to understand the voice of employees, clients and consumers
The content that is available on webpages, mobile apps and social networks are excellent sources of information to understand and predict consumer behaviors, perceptions, attitudes, and traits.
In today’s world, the personalization of user experiences is key to generate retention and engagement throughout their customer journey. The saturation of products and services on the market leads to an increase in the expectations of users’ needs.
Processing and analysing unexploited clinical data to grow your company revenue, reduce operational costs and improve compliance
Artificial Intelligence plays a very important role in the efficient exploitation of clinical data, since it can unlock many business opportunities and improve patient health outcomes extracting insights from medical text documents.