This post discusses how artificial intelligence can be used in asset management.
AI-ML-NLP
Structured vs Unstructured Data vs Semi-Structured Data (Differences)
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: Building AI / ML Models that Last
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: Using NLP to Capture Human Emotion in Text Data
Sentiment analysis, a component of NLP, can help companies easily assign a value to text data for processing and interpretation by AI.
The Unstructured Data Challenge for Quantitative Analysts
This blog post discusses the unstructured data challenge for quants and AI use cases in quantitative management.
Building Vs. Buying an AI Solution
Off-the-shelf AI solutions–like Accern’s No-Code NLP platform–are viable alternatives to building out a custom AI model.
What is No-Code?
What does no-code mean? This blog explains what no-code development is, how it applies to AI/ML/NLP technologies and its benefits.
3 Ways NLP Helps Banks Improve Customer Service
The use of NLP in banks will continue to grow, offering useful real-time insights. Explore 3 ways banks benefit from customer service NLP.
3 Benefits of Using AI in Quantitative Risk Management
AI helps financial services firms perform quantitative risk analysis using algorithms and machine learning, preparing them for near-term threats.
How AI is Transforming Insurance Claims Fraud Detection
Fraudulent insurance claims cost insurance companies over $80B/year in the U.S. Insurance fraud detection AI is the key to insurance fraud prevention.