Business DS

Data Science Work Environment

Beyond Supervised Learning: Accelerating Business Insights with Reinforcement Learning

datascience

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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Sales Handshake

Generative AI Solutions: Transforming Sales Strategies and Performance

AI, datascience

Generative AI Solutions: Transforming Sales Strategies and Performance Author: Tony Ojeda In our ongoing exploration of Generative AI’s transformative impact across industries, we’ve examined its applications in health insurance, financial services, and most recently, customer service. Today, we turn our attention to the dynamic world of sales, where Generative AI is revolutionizing how teams prospect,

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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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