big-data Archives - Fulcrum Analytics

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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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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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MLOps: Building Machine Learning Systems

big-data, dad, datascience, Uncategorized

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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Going from MLOps Level 0 to Level 1

big-data, dataplatform-management, datascience

Author: Ani Madurkar Industry Data Science has diverged into a few dominant verticals as the field has matured, but the primary specialty has been Enterprise Machine Learning (with Product-centric Data Science as a close second). The realm of Enterprise Machine Learning, so far, has looked quite similar to how Kaggle looks — hacky ML notebooks

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How to Get the Most Out of Jupyter Notebook

big-data, dataplatform-management, datascience

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

big-data, datascience

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

big-data, dataplatform-management, datascience

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

big-data, dataplatform-management, datascience

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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Improving Data Quality: Anomaly Detection Made Simple

big-data, dad, dataplatform-management, datascience

From business managers, to data scientists, to UX developers — anyone who works with data knows anomalies can be a chore to find and an even bigger chore to resolve. Incorrect or faulty data can cause a business to miss revenue opportunities or potentially make poor business decisions based on erroneous analysis. For organizations whose

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AI vs. Machine Learning: What’s The Difference?

big-data, datascience

Artificial intelligence, or “AI”, is a buzzword that has been around for decades… but what does itreallymean? For most people, it can be hard to differentiate between the futuristic sounding AI and its less glamorous sounding counterpart, machine learning, sometimes called “ML”. Even Fulcrum’s Data Scientists agree, that while the average person interacts with some

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