Diving into Industry 4.0 by Industry Type

Energy
Transportation

Data Visualization in the Energy Industry

People across the energy sector have a lot to say about the value of data. However, all the data in the world isn’t worth anything if you can’t get actionable insights from it. Data analysis for the energy industry drives everything from increasing safety and lowering emissions to optimizing operational efficiency and minimizing system downtime.

And when you factor in IoT, artificial intelligence (AI), and the growing adoption of smart technology within the energy sector...

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How Data Visualization is Redefining the Energy Sector

Like many industries, the energy sector is undergoing widespread digital transformation. As more power and utility providers adopt artificial intelligence, IoT, and other smart technology to support their business lifecycles, data analytics is becoming an essential part of managing the modern energy infrastructure.

But analytics alone can’t provide the insight needed to drive action. Organizations must take their data and present it in a way that is both understandable and usable to everyone, not just data scientists. 

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Using Machine Learning in the Energy Sector

Machine learning is a branch of artificial intelligence and computer science that uses data and algorithms to imitate the way that humans learn. The “learning” aspect of machine learning refers to the system’s ability to improve its accuracy and knowledge set over time based on experience.

Machine learning has a lot of practical applications, but one of the most powerful ways this technology is being used today is in big data analytics.

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How One Company Uses Virtualitics Immersive Platform to Save $500,000 Annually in Downtime and Energy Loss

The energy company knew there was a performance problem with some of its wind turbines, but it was unable to pinpoint the root cause. As a result, the company wasted resources trying to assess and resolve the malfunctions.

Using the Virtualitics Immersive Platform, the company was able to save $500,000 annually in downtime and energy loss. 

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Data Visualization in the Transportation Industry

Every step of every shipping and logistics process, every inventory update, and every mile driven on every route depends on accurate, reliable, and actionable data.

Although there is no shortage of data available to the transportation industry, the true measure of its value lies in how this massive amount of data gathered across many different sources is put to use.

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How One Company in the Transportation Industry Uses Virtualitics to Save $6-15 Million in Annual Maintenance Costs

Airplane maintenance is a complex process, especially when it comes to anticipating when a plane may need unscheduled maintenance. Unforeseen maintenance on aircraft can cause huge issues, including downtime, which usually results in lost time and money. That’s where Virtualitics can help.

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Using AI in the Transportation Industry

Supply chain disruption has impacted business operations in every industry over the past two years. Organizations almost across the board are navigating inventory shortages, scarcity of raw materials, and lack of essential components.

The transportation industry has landed in the spotlight during this crisis. Inadequate staffing, high fuel prices, and blocked access to ports and offloading sites are increasingly affecting business continuity and inventory management for organizations around the globe.

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Use Cases: Industry 4.0

Predictive Maintenance
Industry 4.0 Asset Productivity

Use Case: Virtualitics Predict for Airplane Predictive Maintenance

One company in the transportation industry uses Virtualitics to save $6-15 million in annual maintenance costs. By working with Virtualitics to gather data from unexpected sources, this company was able to:
  • The customized solution yields $6-15M annual savings in estimated maintenance costs.
  • Integration into existing workflow helps drive action early and leads to a 2-3% decrease in overall machinery downtime.
  • The ground team experienced a 50% reduction in unscheduled maintenance on monitored systems within the first three months.
  • Plus, integration with the existing part inventory system keeps the necessary replacement parts stocked.
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Airplane case study

Use Case: Virtualitics Immersive Platform unlocks AI for Industry 4.0 Asset Productivity

Virtualitics pyVIP is our powerful python API that enables flexible integration with tools and systems in your ecosystem. The API enables a Data Scientist to visualize any of their predictive models to enhance model explainability, performance, and overall communication to stakeholders.

  • Anomaly-detection algorithms revealed the root cause of high-temperature operational malfunctions which required excessive servicing, costing more than $500,000 per year in downtime and energy losses.
  • Interactive data exploration in 3D empowered wind farm engineers, analysts, and operators to visualize and identify the key driver for underperformance: the OEM designed a cooling system as the culprit, which was underpowered relative to the wind turbine designer’s recommendations.
  • AI routines highlighted drivers of energy production and identified ideal operational conditions with respect to auxiliary power.
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Energy Farm with Wind Turbines

Webinars

Machine Learning

ML Model Explainability Using 3D Visualizations

Whether you’re the business analyst who may not have a machine learning background or the data scientist who has created the models and wants to refine them in more detail, this webinar will take you through examples of each.

Here’s a look at what you can expect from this on-demand webinar:

  • Learn how Virtualitics came to be and why we created this 3D visualization tool
  • Discover use cases for business analysts who need to utilize 3D visualizations to explore complex models
  • See how by using our API a data scientist can fit our 3D visualizations into their existing process when it comes to creating and refining models
  • Hear some questions from the audience and our answers
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Virtualitics News

News
Virtualitics wraps up 2021 Caltech data science hackathon
News
Virtualitics VIP New Enhanced Capabilities!
News
US Space Force Awards Virtualitics Contract to Deploy EMI Tool and AI Solutions for Space Domain
Caltech 2021 hackathon thumbnail

Virtualitics wraps up 2021 Caltech data science hackathon

Virtualitics wraps up exciting data science hackathon with Caltech students leveraging the power of Virtualitics Immersive Platform (VIP) to solve unique business cases and challenges.

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Virtualitics VIP New Enhanced Capabilities

Virtualitics VIP New Enhanced Capabilities!

Virtualitics is proud to announce a whole new suite of tools and enhanced capabilities for our Virtualitics Immersive Platform (VIP). Key advances to our suite of AI tools enable users to leverage the power of AI to create and generate insights...

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US Space Force Awards Virtualitics Contract to Deploy EMI Tool and AI Solutions for Space Domain Awareness 11

US Space Force Awards Virtualitics Contract to Deploy EMI Tool and AI Solutions for Space Domain Awareness.

The U.S. Space Force's Space Systems Command’s Cross-Mission Ground & Communications Enterprise (ECX) has partnered with Virtualitics to deploy the Virtualitics EMI Tool (VET) and develop additional advanced Artificial Intelligence solutions for Space...

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Video Resources

Discover the Virtualitics VIP Platform
Python API
Working at Virtualitics
Featured Video

Discover the Virtualitics VIP Platform

Virtualitics is an AI-driven data analytics platform that lets anyone, regardless of their background, get actionable insights from complex data faster than they can with other tools.

Our advances in artificial intelligence and immersive visualizations allow users to enhance and automate data exploration faster and more efficiently than ever before.

Featured Video

Learn about Our Python API

Our Python API, now available with Virtualitics version 1.2!

Featured Video

Working at Virtualitics

Virtualitics is an AI-driven data analytics platform that lets anyone, regardless of their background, get actionable insights from complex data faster than they can with other tools. Our advances in artificial intelligence and immersive visualizations allow users to enhance and automate data exploration faster and more efficiently than ever before.