Data visualization: The underrated skill in business analytics
In an age where data has become the lifeblood of businesses, deciphering this raw data to yield actionable insights is critical. Here is where the role of business analyt...
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Beyond data science: A knowledge foundation for the AI-ready enterprise
Data science was a vaguely defined discipline to begin with, but it’s shaped up substantially lately. Execs now yearn to take immediate advantage of generative and ...
Integrating GenAI into “Thinking Like a Data Scientist” Methodology – Part II
My journey continues as I integrate a GenAI tool (Bing AI) with my Thinking Like a Data Scientist (TLADS) methodology. In part 1 of this series, I used Bing AI to validat...
Pushing boundaries with Generative AI: How Program-aided Language model (PAL) enhances Large Language Models (LLMs) for superior AI performance
Source: ArabianBusiness Takeaways Artificial Intelligence (AI) continues to evolve at a rapid pace, with groundbreaking strides in generative capabilities playing a criti...
Generative AI megatrends: implications of GPT-4 drift and open source models – part two
Background In the previous part of this blog, we explored the limitations of GPT-4. In this post, we will explore if open source models can overcome the limitations of bl...
Scaling Supply Base Data and Reuse with Knowledge Graphs and LLMs
Fair Data Forecast Interview with Gregor Stühler of Scoutbee Scoutbee’s CEO and founder, Gregor Stühler, who has a background in computer science and electrical...
Integrating GenAI into “Thinking Like a Data Scientist” Methodology – Part I
It’s incredible how many organizations utilize Generative AI (GenAI) and Large Language Models (LLMs) to enhance their information assembly, integration, and applic...
Generative AI megatrends: implications of GPT-4 drift and open source models – part one
In this two part discussion, we will discuss two related generative AI megatrends Backgroumd A recent paper How Is ChatGPT’s Behavior Changing over Time? from Stanford ...
How can Data Scientists use ChatGPT for developing Machine Learning Models?
Introduction Data Science is a vast field that incorporates several processes. From problem definition to data collection and data cleaning to data visualization, a lot o...