There is so much data in the world that it’s impossible for humans to manually collect, organize, and study the data to extract actionable insights. And as more and more data is added to the data pool every day, studying it becomes all the more difficult. And, this is...
AI and news sentiment analysis can help asset managers quickly gain insights and make better ESG investment decisions.
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.
Learn three ways artificial intelligence (AI) is used in capital markets like investor reports, financial market intelligence, and trade risk analysis.
Text mining and analytics are tools that have gained significant attention within finance. This blog discusses building text analytics models with no code.
Structured data makes up 20% while unstructured data accounts for over 80% of data. So, what is the difference between structured and unstructured data?
ESG investing has become a hot topic worldwide, but has created new problems. Read the article to find out how greenwashing affects ESG investments.
Adaptive modeling provides a solution for many AI use cases. We explore different flavors of adaptive modeling and look at some its benefits.
Environmental, Social, and corporate Governance (ESG) represents a set of standards (diversity and inclusion, gender pay gap, labor rights, climate change, etc.) used by investors to identify material risk and opportunities in their current portfolios and future...