Business DS

Generative AI Chatbot

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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CustomerServiceReps

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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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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Incorporating Decision Science into Data Science

datascience, market-research

Author: Igor Pshenychny Machine Learning and mathematical rigor are tools at data scientists’ disposal. But we all know that having a better calculator won’t exactly result in better test scores, and having a more powerful computer won’t necessarily make you a better programmer. To develop a strategy that doesn’t underperform, a data scientist will need

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Where Does Your Company Stand Against The Competition? 7 Levels of Decision Making Reliability

datascience, impact

The goal of predictive analytics is to combine past and current data to obtain actionable insights. Data-driven decision making has been proven time and time again as the best way ahead for any business, regardless of the sector. We wanted to know how ready the nation’s largest Financial, Healthcare, and Retail organizations are for an

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Most Industry-Leading Organizations Struggle with Deploying Their Data Science Capabilities

datascience, impact

During our recent industry survey of 50 of the nation’s best funded institutions, we discovered that even industry-leading organizations aren’t maximizing their data science capabilities when it comes to evaluating the impact of business decisions to the bottom line. Among top retail, banking, and healthcare organizations, we uncovered that: In addition to Fulcrum Analytics providing

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