Making Sense of Big Data
1. Introduction
Within the finance domain, a large amount of complex data gets captured across digital channels and is stored primarily in structured formats (excel, csv, relational database etc.). Due to regulatory norms like GDPR, FERPA, HIPAA etc., a lot of restrictions have been put in place, to mitigate the privacy concerns of the end customer.
However, at the same time, the organizations need to build a competitive advantage by analyzing and acting on insights generated from the stored data. There are many situations when this data is not accessible when required for analysis purpose.
Below are some familiar conversations we often come across and highlight challenges in securing data…
1. Introduction
If you have been following the recent developments in the NLP space, then it would be almost impossible to avoid the GPT-3 hype in the last few months. It all started with researchers in OpenAl researchers publishing their paper “Language Models are few Shot Learners” which introduced the GPT-3 family of models.
GPT-3’s size and language capabilities are breathtaking, it can create fiction, develop program code, compose thoughtful business memos, summarize text and much more. Its possible use cases are limited only by our imaginations. What makes it fascinating is that the same algorithm can perform a wide range of tasks. …
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