Tag Archive

#data science models

  • How to

Use intelligent event data to drive down your forecasting error rate by 10-20% in weeks

Accurate demand forecasting at scale requires machine learning models and ruthless prioritization of the features you build into the...
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  • Data
  • Demand Intelligence

How PredictHQ’s predicted viewership for Live TV Events works

PredictHQ’s new feature Live TV Events accurately predicts the viewership for major televised sports games across seven leagues so...
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  • large language models

The Model Training Tsunami: Reshaping the LLM Landscape

The AI arms race is heating up, but it's not just about algorithms anymore. Discover how contextual, real-world data is becoming the...
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  • Demand Intelligence

How PredictHQ Demand Impact Patterns work

You can’t power a forecasting model or a scalable demand planning organization on anecdotal knowledge. You need information — you need...
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  • Data
  • Demand Intelligence
  • How to

Coronavirus Recovery: Don’t Throw Out 2020 data –Train Your Models to Learn from COVID-19 Anomaly

The COVID-19 pandemic has catapulted our world into unprecedented times. Beyond the terrifying health situation, the economic impact...
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  • Data
  • How to

How to get up and running with PredictHQ's event data using Snowflake in minutes

Snowflake users are able to access PredictHQ data quickly and seamlessly through the Snowflake Secure Data Share. This is one of the...
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  • Data
  • Demand Intelligence

How to build an event data source: the 8 most important steps to ensure it’s accurate and useable

Event data is a highly impactful source of intelligence, yet a complex one to wrangle into a usable format. In this post we walk through...
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  • News

Release: PredictHQ Partners with Snowflake to Make Demand Intelligence Accessible

PredictHQ, the demand intelligence company, has announced a partnership and integration with Snowflake, the Data Cloud company. Snowflake...
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