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Blogs by tori tompkins

Welcome to the Advancing Analytics blog. We’re a bunch of data and AI specialists who build modern platforms and make messy data behave.

You'll find a trove of posts and video here, focused on AI and machine learning, data engineering and analytics. Our blogs are all based on what we’re seeing in the real world - with lessons learned from the sharp end of delivery. 

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Tori tompkins
AI Data Science MLOps Generative AI
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Tori Tompkins
5 Essential Evaluation Metrics for LLMOps & FMOps (and how to...
Evaluating large language models (LLMs) is crucial to ensure their effectiveness, reliability,...

17th July, 2024

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Tori Tompkins
Microsoft Ignite 2023 - AI Roundup
AI was the very first thing mentioned in Satya Nadella’s opening keynote of Microsoft Ignite...

22nd November, 2023

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Data Science Fabric
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Tori Tompkins
Exploring Machine Learning in Microsoft Fabric: Should Data...
Introduction Fabric is Microsoft’s recently announced SaaS all-in-one analytics platform. It...

10th September, 2023

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MLOps
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Tori Tompkins
Feature Stores and Why You Need Them
The Machine Learning and DevOps are generally well established within the data industry, with...

1st August, 2022

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What is MLOps and Why Do You Need It?
MLOps (Machine Learning Operations) is the set of processes for the production ML lifecycle,...

5th June, 2022

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Model Deployment Options in Azure
There are so many options to deploy models in Azure that is can get quite overwhelming. In...

24th May, 2022

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Tori Tompkins
Using GPT-3 Model to Generate Romantic Comedy Movie Summaries
Valentines Day is approaching and what better way to celebrate than to play around with AI...

8th February, 2022

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Tori Tompkins
Querying Movie Data on Wikipedia using DBpedia and SPARQL
Getting data from Wikipedia is no easy feat. At first glance, it seems like the easiest way...

8th February, 2022

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Getting Started with Graph Analysis in NetworkX
Introduction NetworkX is a Python package for the creation, manipulation, and study of the...

18th January, 2022

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How to Fix Different Types of Model Drift
Introduction Model drift refers to the decline of model performance due to changes in data and...

11th January, 2022

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