Steps to Building an NLP Pipeline
Natural Language Processing (NLP) is a branch of AI that helps computers or machines to understand, interpret and manipulate human languages to analyse the context and derive its meaning. NLP helps data scientists
The Growing Importance of AI and Data Analytics
LSEG Labs recently published an interesting survey on the growing importance of data analytics, ML and AI among finance firms globally. Firms are increasingly recognising the benefits of technology, and partnering with modern
Why CurveCue ?
Having worked in fixed income markets for over 20 years, I often found that answering what should have been fairly simple business questions around clients, flows and market conditions were far more problematic
Technological Foundation to Text Summarisation
For large documents like research papers from different sources, news, emails and other such text based data, text summarisation tools can be very handy. They can save the reader the hours of effort
Management Stack for Docker Swarm Cluster
There are many production grade container orchestration technologies available such as Docker Swarm, Kubernetes, Mesos and so on. All these technologies simplify the process of automatic deployments, scaling and management of containerized applications.
AI for Bond Trading
AI is a technology that is disrupting many industries at present. It has impacted industries as diverse as software, finance, agriculture, music, shopping and the list continues to grow. The application of AI
Recommender Systems
Recommender systems are one of the most widely used ML implementations in the world today. Although not widely used in finance at present, it is easy to think about where they might be
Moving towards Semantic Search
Traditionally in enterprise search domain we have relied on keyword based searches. If a document matched or contained a certain keyword(s), then the document would be listed in the search results. This is
Evaluating Search Results
Precision and Recall in search results. Precision can be defined as “Fraction of results that are relevant” and recall is defined as “Fraction of relevant results that are returned “ Suppose the search