Resources
Resources
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Why Enterprises Need to Rethink Operational Data Sharing
In this DeepIQ whitepaper, discover why traditional OT data-sharing methods like vendor portals and custom pipelines fall short—and how IT-OT convergent data lakes empower secure, scalable, and future-ready collaboration across the enterprise
Real-Time Data, Real Business Impact: How DeepIQ Enabled Operational Transformation at Grapevine Energy Holdings
DeepIQ partnered with Grapevine Energy Holdings to create a real-time, cloud-native platform uniting IT and OT systems in a secure AWS data lake. Powered by DataStudio, it delivers continuous insights, intuitive data access, and automated dashboards that drive operational awareness, faster decisions, and improved maintenance.
Building Your Industrial Knowledge Graph: Comparing AI Driven Discovery, Vendor Models, and Self-Service Platforms
Learn how different approaches to building industrial knowledge graphs impact insights, governance, and strategic flexibility for manufacturers.
DeepIQ–Databricks Energy Solutions Partnership Overview
Discover how DeepIQ and Databricks are enabling AI-ready industrial operations at scale. This whitepaper explores how contextual intelligence and a unified data platform accelerate digital transformation for energy enterprises.
From Asset Hierarchies to Enterprise Knowledge Graphs: Unlocking Contextual Intelligence in Industrial Operations
Discover how knowledge graphs bring context, traceability, and AI-readiness to industrial operations—solving what traditional asset trees can’t.
Historian Integration with Data Lakes - Demo
DeepIQ makes it easy to integrate historian data like OSIsoft PI and IP.21 into your cloud data lake—securely and without writing code. Watch this short demo to see how it works.
Industrial DataOps Showdown: AVEVA Connect™ vs. Tenant-Native Stacks on Google, AWS and Azure
This paper uses DeepIQ DataStudio as a product example and a lens to evaluate a broader class of cloud-native architectures. Our goal is to equip decision-makers with an apples-to-apples analysis of these options so that they can align their IT-OT convergence and digital twin strategies with their existing cloud investments and long-term data vision.
Whitepaper - Historian Integration with Cloud Data Lakes - DeepIQ
Industrial data historians like OSI PI™ and IP21™ have been key in capturing operational data, but businesses now seek to integrate this data into enterprise data lakes. This shift enables enterprise-wide visibility, advanced analytics, and AI-driven optimization across operations, supply chain, and maintenance.
Whitepaper - Using Snowflake as Your Time Series Database
Snowflake has several inbuilt capabilities that are prerequisites to a good time series database. These include infinite scalability, cost-effective storage, and fast response times for point reads and analytical queries. With DeepIQ's DataStudio, you can realize the full potential of your Snowflake Data Warehouse by ingesting your operational and IT data at scale and developing innovative analytics that maximizes the value of this data.
Whitepaper - SAP Connector
This whitepaper explains how DeepIQ's DataStudio enables cross-functional analytics by simplifying the integration of your SAP data with the rest of your data ecosystem.
AWS TimeStream - Moving Operational Data into AWS at Scale in less than 60 minutes
With DeepIQ's DataStudio, moving your IoT data into AWS from your diverse industrial technology and network landscape is a simple task with no code development requirement. In our latest whitepaper, we will use a real-world use case to show you how to build a production-grade data pipeline with real-time streaming data from your industrial systems into your AWS Timestream database in less than 60 minutes.
Whitepaper: Predictive Maintenance - Building Robust AI Models with Sparse Training Data
This latest whitepaper will explain how you can use DeepIQ's patent-pending hybrid Knowledge-AI approach to building high-quality, interpretive predictive maintenance models, even without significant failure data.
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.
Whitepaper - Master Data
In this whitepaper, we will explain the challenges in Master Data Management. We will dive into the traditional approaches to managing master data and then show how DataStudio solves these challenges.
Whitepaper - Geospatial Analytics at Scale
In this whitepaper, we first explain the challenges in geospatial analytics. Then, we explain how DeepIQ addresses these challenges by leveraging your execution environment for scalability and customizability.
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 into how to tackle these challenges head-on.
Optimizing Edge Software for Cloud Costs: Payload Optimization with DeepIQ Edge or Kepware IoT Gateway
Your edge configurations directly impact cloud expenses. Learn how to analyze message sizes, fine-tune settings, and maximize efficiency.
Enhancing Agribusiness Operations with DeepIQ Data Studio
Discover how Sustainable Oil leverages DeepIQ Data Studio to streamline operations, integrate diverse data, and unlock actionable insights.
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.
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.
Enhancing Ignition SCADA with contextual data and ML capabilities via cloud data lake integration
Ignition SCADA by Inductive Automation is a comprehensive, industrial-grade software platform for building and deploying powerful HMI, SCADA, and IIoT solutions.
In our latest whitepaper, we explain how DeepIQ enables you to establish secure and scalable data pipelines between different cloud data lake platforms and your Ignition SCADA without writing a single line of code.
Maximizing the value of OT data with DeepIQ DataStudio (Data + AI) on AWS
Operational technology (OT) data refers to the data generated by sensors and other devices used in industrial settings to monitor and control physical processes. Supervisory control and data acquisition (SCADA) systems, data historians, and programmable logic controllers (PLCs) are examples of technologies that generate OT data. SCADA systems are used to monitor and control industrial processes, while data historians are used to collect and store historical data from industrial systems.
DeepIQ DataStudio vs Rockwell FactoryTalk DataMosaix
In the era of Industry 4.0, data is the key to unlocking the potential of digital transformation for industrial operations. However, data integration and management can be challenging, especially when dealing with different types of data from IT and OT systems. In this article, we deep dive into the similarities and differences between Rockwell’s FactoryTalk DataMosaix and DeepIQ’s DataStudio, both of which aim to simplify and accelerate data-driven decision-making for industrial companies.