DS Methodology Archives - Fulcrum Analytics

Beyond Supervised Learning: Accelerating Business Insights with Reinforcement Learning

Beyond Supervised Learning: Accelerating Business Insights with Reinforcement Learning Author: Evie Fowler Data science – the art of using data to draw insight and inferences around the way the world works – is a crucial component of business today. The modern business world is dynamic and fast-paced, though, and organizations that spend too much time […]

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Case Study: Transforming Call Center Insights with Generative AI

AI, big-data, datascience

Case Study: Transforming Call Center Insights with Generative AI Author: Tony Ojeda In the ever-evolving landscape of customer service, understanding the nuances of customer interactions is paramount. Our recent project with a nationwide financial services provider exemplifies how leveraging Generative AI can revolutionize the way businesses extract and utilize insights from unstructured data. This case

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Building an AI-Powered Data Analysis Assistant

AI, big-data, datascience, Uncategorized

Building an AI-Powered Data Analysis Assistant Author: Tony Ojeda In today’s data-driven world, organizations are inundated with vast amounts of information, making it increasingly challenging to extract meaningful insights efficiently. The ability to analyze data quickly and accurately has become a critical factor in decision-making processes across various industries. However, not everyone possesses the technical

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Case Study: Generative AI Chatbot for Annuity Customer Service Representatives

AI, datascience

Case Study: Generative AI Chatbot for Annuity Customer Service Representatives Author: Tony Ojeda This case study explores the development and implementation of a Generative AI chatbot designed to assist customer service representatives (CSRs) at a nationwide annuities provider. The chatbot aimed to improve CSR efficiency and effectiveness when addressing complex customer inquiries regarding annuity products.

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AI icon, logos for Open AI, Google, and Meta's LLMs

Revolutionizing AI: The Power of Large Language Models

AI, big-data, datascience

Revolutionizing AI: The Power of Large Language Models Author: Konstantin Galperin Large Language Models (LLMs) have revolutionized the field of artificial intelligence (AI) by demonstrating remarkable capabilities in understanding and generating human language. These models, such as OpenAI’s GPT-4, are built upon deep learning techniques and vast amounts of training data, enabling them to perform

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A Hybrid Approach to Customer Segmentation: Combining Machine Learning and Rules-Based Methodologies

datascience, market-research, Uncategorized

A Hybrid Approach to Customer Segmentation: Combining Machine Learning and Rules-Based Methodologies Author: Evie Fowler Customer segmentation refers to the process of dividing customers into subgroups with similar buying habits and needs. It helps businesses understand their customers better so that they can market existing products more effectively and even develop new products to meet

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An Introduction to Network Analysis

datascience

An Introduction to Network Analysis Author: Igor Pshenychny A network analysis is a means of understanding the various entities of a given dataset as well as the relationships between them. It is a useful tool that can generate unexpected insights even when the dataset doesn’t seem conducive to a network analysis. This is because every

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An Examination of Distribution Prediction Methods

datascience, Uncategorized

An Examination of Distribution Prediction Methods Author: Konstantin Galperin The current supervised machine learning toolkit is vast, and such methods are applied with a single goal in mind – making a point prediction. However, in some cases, it might be beneficial to predict a range of outcomes. For example, an insurance company might find it

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Segmentation Models Compared

datascience, market-research

Segmentation Models Compared: What’s best suited to your needs? Author: Yifei Zheng Customer segmentation is a means of organizing and managing a company’s relationship with its customers and can improve things like personalized marketing communications, customer service and support efforts, customer loyalty, identifying the most valuable customers, and identifying new product or upsell opportunities. This

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A Framework for Building Customer Segmentation Models

datascience, market-research

A Framework for Building Customer Segmentation Models Author: Yifei Zheng If someone asked you to describe your customer base or audience, how would you do it? Would you describe a generalized persona? Perhaps a list of demographic features? Or maybe you would list several interests that align with your core mission or brand. While this

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