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Semantic Analysis Using LLMs - Classification with BERT
In this articles we will explore how to use Large Language Models (LLMs) for Semantic Analysis. In recent years, Large Language Models (LLMs) have revolutionised the field of natural language processing (NLP), venturing into the new frontiers...
Great Expectations
In data science or data-based projects, the quality of data is one of the most pertinent aspects to be considered. In the case of developing intelligent systems using various AI (Artificial Intelligence) techniques…
Shine's Spotlight: ‘Hitting Against The Spin’ by Nathan Leamon & Ben Jones
Cricket is one of many sports that has undergone a “data revolution” over the last 10 years. This follows in the footsteps of the famous “Moneyball” philosophy which revolutionised baseball in the early 2000s…
Data Acquisition in Mountain Biking
In our modern world, data is used almost everywhere to make our lives easier, to sell us things, or even to give elite athletes an edge over their competitors…
Shine's Spotlight: ‘The Signal and the Noise’ by Nate Silver
One of our directors, Sara, recommended I read this book a long while ago, so I gave it a read for my next blog post. Nate Silver has a background in statistics and making predictions…
Big Government Data Strategy - No more Chief Data Ostrich!
Governments around the world are going digital. Considering this, the OECD published a ranking table which rated the UK as 2nd best worldwide…
Artificial Intelligence in Healthcare
Two areas of machine learning (ML) have undergone rapid advances over the last few years: Natural Language Processing (NLP) and Image Recognition…
The Digital Sandbox
Butterfly Data are proud to have taken part in the Digital Sandbox Sustainability Cohort this year. Successful Companies, selected by the Financial Conduct Authority (FCA) and City of London Corporation (COCL), were challenged to tackle problems in finance…
Guess Who? Netflix & Data Anonymisation
Data anonymisation is the process of protecting sensitive or private information by erasing or encrypting identifying information about an individual in data. Some of the data this can relate to might include names or locations. Subjective information such as…
Butterfly Data Automates Forecast Process from 5 Days to 2
The credit union consolidation rate has held steady at about 3.5% a year for the past 40 years. The most common merger scenario has larger entities acquiring small and midsize credit unions. Analysts are speculating that pressures on the biggest credit unions will force many to consider merger strategies in the months to come.