Machine Learning Software in Manufacturing

The manufacturing sector has started to incorporate machine learning throughout the production process. Machine learning and predictive algorithms are being used to plan machine maintenance adaptively rather than on a fixed schedule. Furthermore, quality control processes are becoming automated, with adaptive algorithms that learn to recognize correctly manufactured products and reject the defected ones. Machine learning algorithms being developed are iterative, designed to learn continually, and find optimized outcomes. These algorithms iterate in milliseconds, enabling manufacturers to seek optimized outcomes in minutes versus months. The manufacturing sector uses machine learning, majorly for predictive maintenance, revenue estimation, demand forecasting, supply chain management, and others (root cause analysis and telematics).

TOP VENDORS
In Machine Learning Software

  1. IBM CORPORATION
    0 Reviews
    3.7
  2. SAS INSTITUTE INC
    0 Reviews
    3.5
  3. MICROSOFT CORPORATION
    0 Reviews
    3.3

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Machine Learning Software in Manufacturing Quadrant

Comparing [object Object] vendors in Machine Learning Software across 115 criteria.
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KEY BUYING CRITERIA

Below criteria are most commonly used for comparing Machine Learning Software tools.
Product Maturity
Company Maturity
Most IMPORTANT
0.0
0.0
0.0
Breadth and Depth of Product Offerings
3.65
3.20
3.45
Product Features and Functionality
4.35
4.30
3.65
Focus on Product Innovation
2.90
2.75
3.30
Product Differentiation and Impact on Customer Value
3.60
3.00
3.00
Product Quality and Reliability
3.85
3.70
3.45
LEAST IMPORTANT LESS IMPORTANT

TOP VENDORS

  • It also helps to anticipate customer and business needs more accurately. IBM Watson machine learning service helps enterprises to use their data to create, train, and deploy self-learning models. IBM data science experience is a cloudbased, social workspace that helps data professionals to consolidate, create, and collaborate across multiple open sources tools, such as R and Python.

    BUYERS
    VENDORS
    EXPERTS
    3.7
    ANALYSTS
     
    • Enterprise
    • New York, US
    • Founded: 1911
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • Its major features are automated model tuning, powerful data manipulation and management, flexible web-based programming environment, integrated text analytics, model assessment and scoring, and modern statistical, data mining, and machine-learning techniques.

    BUYERS
    VENDORS
    EXPERTS
    3.5
    ANALYSTS
     
    • Enterprise
    • North Carolina, US
    • Founded: 1976
    • $1BN to $5BN
    • 10,001 to 15,000
  • Azure Machine Learning is a fully managed service for advanced analytics in the cloud. It enables enterprises to build advanced analytic web services quickly and eradicate much of the heavy lifting associated with deploying machine learning in modern data-driven applications.

    BUYERS
    VENDORS
    EXPERTS
    3.3
    ANALYSTS
     
    • Enterprise
    • Washington, US
    • Founded: 1975
    • More than $100 BN
    • 1,00,001 to 5,00,000
  • The engine can perform large scale training on a managed cluster and can also manage the trained models for large scale online and batch predictions. Major features of Cloud Machine Learning Engine include portable models, notebook developer experience, scalable service, managed service, HyperTune, and the ability to discover and share samples.

    BUYERS
    VENDORS
    EXPERTS
    3.2
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1998
    • More than $100 BN
    • 75,001 to 1,00,000
  • The foundation offers instantly consumable services, such as image processing, natural language processing, and tabular and time-series processing that help enterprises to learn from data, extract knowledge, and gain new insights. The foundation helps organizations to incorporate intelligence into enterprise applications, without massive computing or data scientists.

    BUYERS
    VENDORS
    EXPERTS
    3.1
    ANALYSTS
     
    • Enterprise
    • Walldorf, Germany
    • Founded: 1972
    • 501 to 1,000
  • Amazon Machine Learning eases the job of obtaining predictions for user’s application using simple APIs without the need to implement custom prediction generation code or handle any infrastructure. It is considered to be highly scalable, and has the ability to generate billions of predictions on a daily basis and can serve those predictions in real time and at a high throughput as well.

    BUYERS
    VENDORS
    EXPERTS
    3.0
    ANALYSTS
     
    • Enterprise
    • Washington, US
    • Founded: 1994
    • More than $100 BN
    • 501 to 1,000
  • The company has developed machine learning algorithms for voice and image recognition, as well as natural language processing, to help provide smarter, more useful, and more personalized search results. Baidu makes its technology available to other companies to develop their algorithms and applications. The company has made most of its software and systems open source and provided access to it on an “as-a-service” basis.

    BUYERS
    VENDORS
    EXPERTS
    2.7
    ANALYSTS
     
    • Startup
    • 501 to 1,000
  • The major business functions where the company uses AI and machine learning are financial crimes, marketing, cybersecurity, customer management, threat detection, and strategic planning. FICO has more than 130 patents in analytics and decision management technology, including 70 in AI.

    BUYERS
    VENDORS
    EXPERTS
    2.6
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1956
    • $500MN to $1BN
    • 1,001 to 5,000
  • BUYERS
    VENDORS
    EXPERTS
    2.6
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1977
    • 1,00,001 to 5,00,000
  • BUYERS
    VENDORS
    EXPERTS
    2.5
    ANALYSTS
     
    • Enterprise
    • Texas, US
    • Founded: 1984
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • With Sparkling Water, users can drive computation from Scala/R/Python and utilize the H2O Flow UI. Recently, the company introduced Driverless AI, which helps to prepare data, calibrate parameters, and determine the optimal algorithms for tackling specific business problems with machine learning. Furthermore, it automates feature engineering, the process by which key variables are selected to build a model.

    BUYERS
    VENDORS
    EXPERTS
    2.4
    ANALYSTS
     
    • Enterprise
    • 501 to 1,000
  • It enables users to apply machine learning to applications and big data analysis, to analyze and extract insights from the text, audio, video, and image files, and build cognitive apps with machine learning APIs. Major features of the platform are diverse support, extensive composable APIs, cloud-based consumption, and rich developer ecosystem.

    BUYERS
    VENDORS
    EXPERTS
    2.3
    ANALYSTS
     
    • Enterprise
    • Palo Alto, California, United States
    • Founded: 2015
    • 10,001 to 15,000
  • BUYERS
    VENDORS
    EXPERTS
    2.2
    ANALYSTS
     
    • Startup
    • Zurich, Switzerland
    • Founded: 2008
    • Below $10 MN
    • 1 to 50
  • BUYERS
    VENDORS
    EXPERTS
    2.2
    ANALYSTS
     
    • Startup
    • New York, US
    • Founded: 2013
    • $11MN to $50MN
    • 101 to 500
  • BUYERS
    VENDORS
    EXPERTS
    2.2
    ANALYSTS
     
    • Startup
    • Massachusetts, US
    • Founded: 2006
    • Below $10 MN
    • 51 to 100
  • BUYERS
    VENDORS
    EXPERTS
    2.1
    ANALYSTS
     
    • Enterprise
    • San Francisco, California, US
    • Founded: 2010
    • $5BN to $10BN
    • 51 to 100
  • BUYERS
    VENDORS
    EXPERTS
    2.0
    ANALYSTS
     
    • Enterprise
    • San Mateo, California, United States
    • Founded: 2000
    • 1,001 to 5,000
  • BUYERS
    VENDORS
    EXPERTS
    2.0
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1997
    • $500MN to $1BN
    • 1,001 to 5,000
  • BUYERS
    VENDORS
    EXPERTS
    2.0
    ANALYSTS
     
    • Startup
    • California, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
  • BUYERS
    VENDORS
    EXPERTS
    1.9
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1979
    • $1BN to $5BN
    • 10,001 to 15,000
  • BUYERS
    VENDORS
    EXPERTS
    1.5
    ANALYSTS
     
    • Startup
    • CAMBRIDGE, Massachusetts, US
    • Founded: 2010
    • Below $10 MN
    • 51 to 100

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