Sean Hughes, Author at Fulcrum Analytics

Case Study: Generative AI Chatbot for Annuity Customer Service Representatives

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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Generative AI Solutions: Revolutionizing Customer Service

AI, datascience

Generative AI Solutions: Revolutionizing Customer Service Author: Tony Ojeda In the first two installments of our series, we explored the transformative impact of Generative AI across the health insurance and financial services industries. These posts delved into how Generative AI is reshaping operations, enhancing efficiency, and personalizing customer experiences. Today, we turn our attention to

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Generative AI Solutions for the Financial Services Industry

Generative AI Solutions: The Financial Services Industry

AI, datascience

Generative AI Solutions: The Financial Services Industry Author: Tony Ojeda Generative AI has ignited a wave of innovation across various industries, and the financial services sector is no exception. With its ability to analyze vast datasets, generate human-quality content, and automate complex tasks, generative AI is poised to revolutionize how financial institutions operate, engage with

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Generative AI Solutions: The Health Insurance Industry

AI, datascience

Generative AI Solutions: The Health Insurance Industry Author: Tony Ojeda In our journey through the fascinating world of Generative AI, we’ve explored its revolutionary impact across various industries, from retail to legal, and its profound capabilities in creating and understanding content. Today, we delve deeper into Generative AI solutions in the health insurance industry. In

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Generative AI icon connected to multiple industry icons

Business Applications of Generative AI

AI, datascience

Business Applications of Generative AI: A Game Changer Across Industries Author: Tony Ojeda In the previous posts of this series, we have delved into the fascinating world of Generative AI, exploring its capabilities to create new content and extract valuable insights from vast data sets. We’ve also taken a closer look at some of the

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A Deep Dive into Specific Generative AI Models

AI, datascience

A Deep Dive Into Specific Generative AI Models Author: Tony Ojeda In our previous blog post we discussed how Generative AI models have the ability to create new content from scratch as well as extract valuable insights from vast data sets. We explored topics such as the steps required to utilize generative AI models, the

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The Power and Potential of Generative AI

AI, datascience

The Power and Potential of Generative AI: A Comprehensive Exploration Author: Tony Ojeda The Dawn of Generative AI In the ever-evolving world of technology, Generative AI, a branch of artificial intelligence, has been making significant strides. This innovative technology has the unique ability to create new content from scratch, be it a piece of music,

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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 scale with icon for AI and a person on either end

Ethics in the Absence of Artificial Intelligence

AI, big-data, datascience

Ethics in the Absence of Artificial Intelligence: What don’t we talk about when we talk about the ethics of AI? Author: Evie Fowler When we talk about ethics in AI, we tend to talk about its failures. We repeat embarrassing stories and gotcha moments, evidence that the wonders of the technological age are just as

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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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