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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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: 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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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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Hiring in data science has become very competitive for both companies and professionals in recent years. Fueled by the Great Reshuffle, data science positions are in high demand which can greatly benefit new and seasoned data science professionals alike. But in order to get hired in such a competitive landscape, candidates need to be prepared
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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
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
In today’s business environment, companies are increasingly using advanced analytics to drive actions that are backed by data. The changes in outcomes attributable to such actions are measured to calculate ROI and guide subsequent decisions. As such, almost every data science team within large healthcare, retail, and financial service organizations provides its team with business
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One thing we’ve all learned in the last year is how to work without our colleagues being steps away. When it comes to data analysis, and specifically to measuring the impact of changes to the business, the physical distance between staff requires granting more trust and latitude down the organization, but this also introduces risks.
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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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