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Open Data Sources for AI in Industry

When starting a new project to enhance the capabilities of a production facility with Artificial Intelligence, the common question is: “Is it feasible?” Artificial intelligence in an industrial context requires a lot of data to train the underlying algorithms. Systems in operation are generating data. But often these data are encapsulated, or the databases are not connected. They may not be available for the team with the mission to bring AI to the corporation, where it’s own data is not available for building such kind of systems. And on time and budget restraints, the development team is confronted with the question of how to get the training data.

Why Are Data Sources Important to Get Started With AI

Predictive systems, fully automated systems, and knowledge discovery systems require data to be trained correctly. And the data quality defines the operational results AI systems deliver. If you don’t have enough good data, your training results often perform badly. So, the AI is not capable of building the required abstractions and in the following, it couldn’t create an AI system that delivers outstanding results. Despite there are some reinforcement learning methods that don’t need lots of data, the general supervised Deep Learning Artificial Intelligence needs large amounts of labeled data.

Read more: AI Is Changing How Brands Develop Creative – Here’s What the Future Is Looking Like

The Process Flow of Data From Training to Operation

When starting an AI project in an industrial context, you need to consider the general workflow of building a usable AI. In the first step, you need to have access to the relevant historical data, which might have a form of files or databases with the needed information. In the Data Science world, the complete collection of data available in the first step is called a data lake. This data lake contains unstructured and structured data. In general, the format of data in a data lake is a raw format. That means there is no preprocessing of the data going into the lake from different sources. Collections of data are retrieved from relevant sensors or historical recordings. These data are not only measured data but also data from sources like images, video or audio.

In the next step, the data are processed in a preprocessing step. Here data are looked at. They’re visualized, so that subject matter experts could evaluate the quality of the data. Then they could be cleaned and reduced, so the raw data become transformed into data with more meaning.

These data are the base for developing the predictive models. Machine Learning algorithms are usually applied to learn from the data. For instance, a data scientist may choose neural network models, which should be validated after learning on new unknown data, and the training is checked. The training phase includes multiple feedback rounds to see if the training results fit the needs.

The Workflow of Machine Learning in Industrial Application

Finally, the ready to go AI components should be integrated at an enterprise scale. This integration is twofold. On the one hand, there is the edge AI with embedded devices and hardware solutions that accompany machinery on site. On the other hand, there is an integration into the enterprise systems in the form of software components. These software modules are supposed to be tailored to fit the existing operations.

The Problem Is Not Too Little Data but Too Much

But where to find all these data to train your neural networks? As data seem to be the new oil in today’s world. You might expect to find data sources outside your own enterprise is hard. Industrial companies keep their values and data for themselves. However, there are other industries, especially IT companies, that went through the same phase of keeping data and source codes for themselves. And even a small number of companies are still doing so.

But in recent years, the open-source approach had an unimaginable success. Even very proprietary companies like Microsoft are tapping into open source. Sharing creates new business opportunities and adds value to whole industries. So, industrial associations and consortiums start initiatives to share data. Another source of free and open data are publicly funded activities and research. Organizations like NASA or CERN provide a lot of valuable data. These data sets are used for general tasks and tests of new algorithms. They serve as a benchmark for algorithmic development. When you’ll search the internet for data, you’ll be overwhelmed by the abundance of data available.

But with these masses of data comes a problem. Artificial Intelligence is a hot topic, and everyone is craving for attention. So, it’s often hard to decide which open data is suitable for your project. There are a lot of unstructured offers, poor quality of data, or just weakly described data sets available. AI is used in so many different fields and used for so many different use cases that there are a lot of data sets not suiting your needs.

Relevant Open Data Sources for Industrial Artificial Intelligence

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When you look at the categories of applied industrial AI, you’ll find that you could add AI into a lot of your products and services. In this way, you’ll improve your customers’ experience. For manufacturing tools, for example, machines that self-diagnose would improve the overall performance of the operational installation. It increases their effectiveness, reliability, safety, and enhances the longevity of the machines. They see their own signs of wear and tear on tooltips like drills, saw blades, welding tools, or grippers.

The second application you need data for is automation. The trends researchers call it hyper-automation. It helps the already present automation of industrial processes to get another boost. It makes people obsolete and shift changes negligible. Here data from standards in autonomous driving and smart robotics are used to give individual training to industrial autonomous vehicles and machines.

A third field where AI is applied on is knowledge discovery for engineering systems. The goal here is to find the root causes of problems and eliminate risks with the help of AI. A lot of critical areas provide a lot of data through sensors and logs. Here, AI could create real insights beyond anomalies detections and simple failure modes sensing. AI could then predict the unexpected. It finds relations between similar incidents in the past and current sensor readings. That helps to prevent problems even before they emerge.

What Data Do You Need?

With these fields of application given, you could search for the relevant data publicly available. As a lot of industrial applications require massive amounts of sensor data, these data are not always available for direct download. Sometimes you need to access the data via a given API. This API creates a connection to the existing databases and lets you extract and analyze them.

An example of available sensor data is the Predictive Maintenance of the Turbofan Engine dataset provides by NASA. It features sensor data from 100 engines of the same model. The dataset includes four different sets of engine data using the C-MAPSS aircraft engine simulator. The engines were tested under different operational conditions and fault modes.

These turbofan engine data sourced from NASA Prognostics Center of Excellence, PCoE. This NASA department has even more open data sets available. It features data sets from various universities, agencies, or companies. These time-series data help to create prognostic algorithms. They show the transition from some nominal state to a failed state. A lot of different industrial tasks were included. You’ll find milling data and test on bearings. You’ll find data on electronics and batteries.

More free and openly available repositories are available from the United Kingdom. The UK Oil and GAS National Data Repository, NDR, provides 130 terabytes of offshore data. It is covering more than 12,500 wellbores, 5,000 seismic surveys, and 3,000 pipelines. This data is freely available to everyone. But NRD is not exclusive to the UK. These kinds of National Data Repositories are available in a lot of countries and provide open data, open government approach.

Valuable data from governments is not restricted to the oil and gas industry. The British Geological Survey is also providing lots of data sets. It is offering real-time Seismograms and historical data of its over 100 seismograph stations across the UK. And over 525 more data sets on different geological topics.

The Main Search Engines for Open Data

The best way to find open data sources for your AI project are specific search engines, catalogs, and aggregators. With the help of these tools, you’ll be able to find quickly a fitting data set. They’ll guide through the jungle of available open data sources. Like the classical search engine, you could enter a term of what you’re looking for, and the search engine shows you interesting data sets.

The Google Dataset Search,, gives an impressive overview of existing freely available data sets. Once you’ve done your search, the results do not only give you the link to the repository. It also gives you direct information about the data formats provided and the way the data is accessible. This newly published tool features about 25 million publicly available datasets.

The Registry of Research Data Repositories,, offers a comprehensive text-based search of its linked repositories. It features a nice graphical exploration tool under “search by subject” to find open data. But for the engineering sciences, there are only a few results. Further, this search engine does not lead you directly to the data. It just sends you to the repositories from where your search continues.

With these two starting points, you’ll find the right open data quickly. Open data helps you to start your industrial Artificial Intelligence project directly and you don’t have to wait for your operational sensor and enterprise setup being transformed.

Read more: 2020 Brings Opportunity for Augmented Intelligence

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    ec5d62056f orlaphil

  171. leamdaro says

    Grab it for Yourself and get the main benefits included:
    o You can use your own, existing/already installed, partitions
    o You can have files and folders from more than one location, as well as create new ones
    o You can add folders to the list of hidden files
    o You can lock and display all or only some selected folders
    o You have complete control over where in the list the folders will be added
    o An easy way to make the startup of the program
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  172. reiltye says

    File packing is easily done with the lARP64 Free Edition. It will compress any single file individually or pack all the files in a single archive file. That means you can pack all the modules of your application and even all files in a directory with a single command. In fact, you can even lARPPick all the files in the entire disk drive and compress them into a single archive of the LZMA algorithm.
    lARP64 Free Edition features a quite simple GUI for browsing and unpacking archives. It supports all major file and archive formats including LZMA only. lARP64’ing does not extract individual
    ec5d62056f reiltye

  173. celcle says

    : Download Listpackage com.indeed.proctor.preload;

    import org.junit.Assert;
    import org.junit.Test;
    import org.mockito.Mock;

    import java
    ec5d62056f celcle

  174. anthun says

    Still, it’s one of the more advanced solutions you can find in its class and is fairly reliable, if not so helpful.
    New! This is the fan-favorite challenge game developed by McCesary, which now includes the tons of new content and all the cool features we have added to it for this year’s Halloween season, including all-new 64 levels! Just sit back, relax and we will
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  175. harlarz says

    Features are there to work with your routine not against it.
    Available in the start menu, windows shortcut, and desktop address bar guillotines.
    To get quick access to programs, bookmarks, contacts,
    or web search, just press Ctrl+Tab,
    Ctrl+Win+Tab, Ctrl+D, Ctrl+F, or Ctrl+M.
    Install and Configure:
    If you already have a GUILLOTINE INSTALLED AND RUNNING, use the
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  176. marchat says

    Feature 1. Ease to Use. With its responsive interfaces and 100% compatibility for many popular video formats, Cucusoft iPod Video Converter + DVD to iPod Suite is very easy to use and do not take up too much system resources.
    Feature 2. More Types of DVD Files Supported. Cucusoft iPod Video Converter + DVD to iPod Suite can convert DVD files to a wide variety of formats for iPod and iPhone, such as AVI, MP4, MPEG https://xn--80aagyardii6h.xn--p1ai/cm93-v2-2013-2/
    ec5d62056f marchat

  177. meljerm says

    PDF file extractor is a useful tool that enables you to convert various types of PDF files into text files that are suitable for open, edit and printing purposes.
    The program allows you to convert PDF files of all Microsoft Office documents and also the documents created on Macintosh platform. Besides, the application is universal that can be used with any Android device. Thus, there is no need to be preoccupied with any compatibility issues.
    Before extracting data from documents, you just need to specify the
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  178. geandai says

    in Windows 2000
    ■ Download Manager is not compatible with Windows 2000
    ■ If the specified download directory is not accessible, TurboSFX will open the list of the available directories
    ■ Like most Windows software, the installation folder cannot be specified
    ■ External modem connection and the modem command-line feature is not available in Windows 2000
    ■ The default installation path is limited to a maximum of 4096 bytes on 32-bit machines and 8192 bytes on
    50e0806aeb geandai

  179. dacybre says

    Freeware for Windows

    ” Filewatcher is a free file monitoring utility. It helps you monitor changes in the file system and indicates you (via notificaiton) when files change.
    Filewatcher is a Windows batch file application which allows you to monitor a computer
    50e0806aeb dacybre

  180. haiparr says

    Based on sound-to-sound, this plugin combine the muted guitar sound of the electric guitar with the texture of the organ or piano.
    The perfect plugin for source separation or for evolving music.

    As sample-accurate as it is unpredictable: intuitive controls, abundant modulation possibilities, and vastly improved performance that rivals the sound of some of the world’s highest-priced plug-ins. The well-crafted user interface, functionality and world-class performance potential ultimately promise to make
    50e0806aeb haiparr

  181. valjua says

    The SaaS-based answers to your security concerns:
    ● Access policy – who has access to your email?,
    ● Backup protection – do you have valuable data safe on your computer?,
    ● Monitoring – what happen when you sleep?, and so on.
    And we have you covered with our Warranty.
    If you find any bugs or compatibility issues, please let us know immediately.

    Photoshop Elements provides you with the tools you need to empower you to create your own
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  182. taiwrai says

    De-Capping of Host’s Traffic

    Clear the Dialogs

    H.265 Decapping

    AV1 Decapping

    IPSec Decapping

    Nano Crypto No Pass

    Nanopass No Proxy

    Encryption Strength

    Unlimited Network Segments

    Unlimited VPN Servers








    50e0806aeb taiwrai

  183. dayssabd says

    As of this writing, people seem to be testing the waters. And, whether you decide to enter your hobby into the thread, find a way to use your existing calculator, or decide to stick with what you have, I’m sure you’ll have lots of fun.

    Someone on Calculus Corner writes:

    [Nomikos], on 21 Jun 2009, asked:

    What are the limitations of the app?

    Since this is a
    50e0806aeb dayssabd

  184. sanquin says

    Main Features:
    – Calculate molar mass and percent composition
    – Convert from osmolarity to percent solvation
    – Calculate density using the mass and volume
    – Calculate density using percent solvation
    – Calculate mass percent
    – Calculate mass percent
    – Calculate volume percent
    – View the periodic table
    – Quickly type chemical nomenclature
    – Launch default calculator

    LunaScreen 3D is a screen capturing software, a powerful tool
    50e0806aeb sanquin

  185. borobord says

    Tuesday, November 18, 2011

    Gamma emerges from the uniform distribution in the Higgs triplet model and predicts a useful value for the mixing angle of the corresponding Majorana neutrino eigenstate. The validity of this mixing and the existence of the corresponding physical Majorana neutrino, however, depend sensitively on the production mechanism of the Higgs triplet. In the first part of this paper, we describe a specific doublet-triplet model that predicts a
    50e0806aeb borobord

  186. dawarei says

    ■ SAP BusinessObjects Explorer for Business Intelligence user output support
    SAP BusinessObjects Explorer for Business Intelligence user output support is a critical requirement to run the target data sources.
    The database JDBC driver and JDBC Driver Connector should be installed on the machines on which the programs are run.
    A BSD shell for UNIX (or Windows NT and similar) is highly recommended.
    To install “iSQL-Viewer”:
    1. Un
    50e0806aeb dawarei

  187. lavbail says

    The find will help you in some restarts, upgrading of the past versions and avoiding the speculation of problems on the lost editions, through the config files.
    Moreover, the capabilities of this tool it allows you the search automaticly in all computers to see if SQL or SQL Express edition is installed or used.
    Try it and tell and tries to blackmail me and a normal chick, she couldn’t get away with it.” “Which is why you need to comply
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  188. westanj says

    We think that the app is an outstanding tool for the scientific community, which tends to produce and consume large amounts of data, and yes, it’s also perfectly suitable to present in a teaching environment.
    It’s nice to see that the developers aim to enrich the solution, so as to provide interesting input and provide added value to users who aren’t familiar with exploring and analyzing these particular kinds of data.
    We think that DiscretePath can easily be a valuable
    50e0806aeb westanj

  189. hergar says
  190. darpal says
  191. Acgecne says

    Acgence is a data collection company that provides high-quality, carefully labeled AI Data sourcing for product-based companies. It is the best data sourcing company I have seen which helps you to build your next-generation products faster by providing custom solutions to collect the right data and train their algorithms.

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    Open Data Sources for AI in Industry



    Open Data Sources for AI in Industry

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    Open Data Sources for AI in Industry

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    Open Data Sources for AI in Industry

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