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Ryan Moore

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With over 20 years of experience as a Lead Software Architect, Principal Data Scientist, and technical author, Ryan Moore is the Head of Delivery and Solutions at Snow Fox Data and our resident Dataiku Neuron. He provides Data Science architecture and implementation consultation to organizations around the globe.

Blog Post by Ryan Moore

March 11, 20259 min read

Game Day Predictions: Using ML and GenAI to Pick NCAA Basketball Tournament Winners

Build predictive models in Dataiku and use AI and machine learning to complete the ...
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February 26, 202513 min read

Nothing but Net: Using Data to Shoot for the Perfect Men's NCAA Basketball Tournament Bracket

Using data analytics and historical NCAA tournament data to uncover patterns that could ...
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October 31, 202412 min read

Streamlining Data Insights: Developing Streamlit Apps Inside Snowflake

If you haven’t tried Streamlit applications inside your Snowflake instance yet, we've ...
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September 23, 20249 min read

Mint Condition Metrics: Organizing Chaotic Text With Dataiku and OpenAI

Explore how LLMs can help organize unstructured and messy data so you can extract ...
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August 6, 20246 min read

From Candy to Code: Snow Fox Data Shares the Wonders of Data Science With Middle School Math Club

Snow Fox Data supports the community by sharing the wonders of data science and analytics ...
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May 14, 20249 min read

Exploring Dataiku DSS 12.6: Harness the Power of Generative AI

Explore the new integrations and possibilities available in Dataiku DSS 12.6.
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September 25, 202312 min read

Natural Language Querying With Dataiku, LangChain, and OpenAI

Using large language models and natural language querying capabilities for business use ...
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June 12, 202313 min read

Automate Tasks in Your Production Environment Using Dataiku Scenarios

Find out how automation through Dataiku scenarios can provide the consistency you need ...
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May 2, 20239 min read

Best Practices for Leveraging Dataiku and Snowflake: Part 2

Optimize Snowflake execution from your Dataiku platform by using the SQL Pipeline feature ...
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