This week, at the World Health Summit 2023 in Berlin, Kristy Kade of the US based non-profit White Ribbon Alliance spoke to delegates at a World Health Organization event about the Women’s health and well-being: What do women want?
Informatics and data science in any sector, and not just healthcare, are two very distinct fields. While informatics focuses on coming up with systems for the collection, storage, and management of data, data science is all about using the right tools to gain valuable insights through complex analytics.
Offshore natural language processing services – Overview Businesses today are facing fierce competition, not just because of the increasingly challenging global economy, but especially because of the rapidly digitising business landscape.
The global business landscape is something that rarely stands still. On the contrary, it’s always changing and evolving rapidly, which is why businesses of all scales and practically across every sector are leveraging business intelligence (BI) and big data to outsmart, outpace, and outmanoeuvre the competition.
How can an AI model predict customer churn? Who will stay with your business and who will switch to a competitor?
Natural language processing (NLP) is no longer a term that makes people shake their heads and go “huh…?” – on the contrary, most businesses are aware of what it is and the powerful applications it offers through its variety of natural language APIs, text analysis APIs, and text processing APIs.
Unstructured Data and Management – Overview To explain it in very generic terms, unstructured data is information which is not organised or immediately interpretable.
Guest post by Essa Jabang, who works as a data and engineering consultant in our team at Fast Data Science and also runs his own company Taybull.
Can we detect what is fake news or plagiarised in 59 articles for Der Spiegel by Claas Relotius? We used natural language processing to uncover the clues that pointed to a rogue journalist’s history of submitting fake news
NLP use cases have grown significantly in recent years. From NLP use cases in finance to NLP in healthcare use cases, we explore the various uses for business.
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