big-data

Case Study: Transforming Call Center Insights with Generative AI

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

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

Revolutionizing AI: The Power of Large Language Models

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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MLOps: Building Machine Learning Systems

MLOps: Building Machine Learning Systems Author: Ani Madurkar The importance of thinking larger when designing effective and ethical machine learning systems MLOps is taking the data science and machine learning landscape by storm as organizations struggle to realize the value promised by their data. This is partly due to the difficulty in productionizing machine learning

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How to Get the Most Out of Jupyter Notebook

Author: Igor Pshenychny Jupyter Notebook has become the de facto standard for data analysis. An acronym of the three main coding languages it supports: Julia, Python, and R, Jupyter Notebook provides a user-friendly integrated development environment (IDE) and has been evolving over time to become a go-to tool for data scientists. Jupyter Notebook facilitates a

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Don’t Throw Away The Distribution: The Importance of Probability Distributions

As data science becomes a key factor in the decision making process of society, along with that comes the democratization of data analysis allowing anyone, not just statisticians, to draw conclusions from data. There is an undeniable ease to summary statistics that makes them appealing, but here at Fulcrum, we often encounter clients throwing away

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Fulcrum Analytics, Inc. Recognized as Best Big Data Analytics Platform by the 2020 Tech Ascension Awards

Fulcrum Analytics announced their Agile Analytics Lab has been recognized as the Best Big Data Analytics Platform by the 2020 Tech Ascension Awards. Fulcrum’s Agile Analytics Lab is a cloud-based, big data analytics platform supplemented with professional services that allows clients to experiment with software, data sources, and technology not available within their own organization. The

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How GPU computing Can Boost Data Science Capabilities

GPU technology is an innovative option that can improve the speed of certain types of processes, namely those that can be performed using parallel processing which require computer systems to “think” and “learn” while processing data as quickly and efficiently as possible. For example, GPUs are used in everyday technology that requires real-time human language

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