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.
Text mining and analytics are tools that have gained significant attention within finance. This blog discusses building text analytics models with no code.
Adaptive modeling provides a solution for many AI use cases. We explore different flavors of adaptive modeling and look at some its benefits.
This blog post discusses the unstructured data challenge for quants and AI use cases in quantitative management.
What does no-code mean? This blog explains what no-code development is, how it applies to AI/ML/NLP technologies and its benefits.
By making NLP-powered credit lending decisions, banks can consider alternative datasets and be more inclusive while maintaining a favorable risk profile.