Resources
Whitepaper - Deep Learning on Azure and Databricks
Building Deep Learning models on large datasets can increase your cloud costs significantly. Find out how DeepIQ can help you cut down these costs by up to six times on your favorite cloud platform in our latest whitepaper
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Case Study - Valaris
Valaris IT chose to leverage DeepIQ software to ingest all business system data into their data lake and deliver integration reports using this capability.
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Data science for industrial digital transformation - Hype or Hallelujah?
In the digital world, data scientists have a linear journey to ROI. For them, building a machine learning model, graduating it to an A/B test environment and pushing it to production when proven is a streamlined process. We, the industrial data science practitioners, have a much more convoluted job. In a three-part article series, we delve on the topic of how to tackle these challenges head on.
Part 1
Part 2
Part 3
Whitepaper - Geospatial Analytics at Scale
In this whitepaper, we first explain the challenges in geospatial analytics. Then, we explain how DeepIQ addresses these challenges leveraging your execution environment for scalability and customizability.
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Whitepaper - Master Data
In this whitepaper, we will explain the challenges in Master Data Management. We will dive into the traditional approaches to manage master data, and then show how DataStudio solves these challenges.
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Whitepaper - SAP and PI Integration
DataStudio's built-in connectors for industry standard data historians (e.g. Pi System from OSIsoft) enable seamless fetching of time series data, data cleansing, and data preparation for ML model building exercises and real time execution of validated models.
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