We encounter text in many forms—emails, messages, documents, reports, and social media posts, to name a few. These contain a wealth of information as they capture the essence of human and business interactions. But most of this text is unstructured data, with only...
Not a day goes by without some headline or story about how Artificial Intelligence (AI) is changing the world, or how everyone will be soon or should be using AI. With the fast improvements in AI, more and more tools are now beginning to use some types of AI with the...
There is so much data, especially unstructured text data, in the world that it’s impossible for humans to manually collect, organize, and study the data to extract actionable business insights. As more and more text data is added to the data pool every day, studying...
It can take a person days, or even weeks, to sift through a 50-page technical document, filter out irrelevant material, and write a complete summary of the text without compromising on correctness. When you consider sensitive legal and financial documents, there is no...
This post discusses how artificial intelligence can be used in asset management.
Structured data makes up 20% while unstructured data accounts for over 80% of data. So, what is the difference between structured and unstructured data?
Adaptive modeling provides a solution for many AI use cases. We explore different flavors of adaptive modeling and look at some its benefits.
Sentiment analysis, a component of NLP, can help companies easily assign a value to text data for processing and interpretation by AI.
This blog post discusses the unstructured data challenge for quants and AI use cases in quantitative management.
Off-the-shelf AI solutions–like Accern’s No-Code NLP platform–are viable alternatives to building out a custom AI model.