The availability of data-gathering technology and the amounts of detailed data it can generate comes with responsibilities for proper data management. And it is in the responsibilities we are lagging.
Natural Language Processing (NLP) is a division of artificial intelligence that supports computers to understand and decode human language. For instance, it helps machines to convert unstructured data into meaningful forms. Here are various techniques used in NLP to serve the purpose
Is this a gloomy outlook on the state of affairs? No. My motivation is to improve the state of affairs in the data industry and provide people with the tools to improve their skills in the complex subject that is data. My premise is that if you want to improve, you should put the focus on what needs to be improved.
Data management is a cross-functional complex process. It’s best to learn what managing data really means before you try – data management underpins the ability to know what and when data is important and fit for purpose.
Design is an issue of concern to all industries. But in the data profession, the use of the word design is limited to a hierarchical perception of business requirements, or a network diagram.
In this guide, we will cover what every CXO needs to know about unstructured data to take less-risky business decisions on investment in data and artificial intelligence.
Advanced cognitive technologies are now able to add context to content, converting information into knowledge. Serious Digital transformation takes advantage of their firm’s unstructured data.
Knowledge Graphs are a tool used in AI to help enterprises connect and use large data sets. These graphs are derived from semantic relationships between words that are available in various domains and that are found in the data analyzed.