Machine Learning Software in Energy and Utilities

The energy and utilities vertical includes energy, water, and oil and gas. It is one of the largest industries serving a huge customer base. The adoption of machine learning solutions is rapidly changing the operational and performance model of the energy and utilities industry. The need for new data sources, new programs, and efficient management of resources as well as increasing competition from alternative energy providers are the growth drivers for this market. The smart grid backed with machine learning capabilities has been trending in the energy and utilities sector lately. It gives access to the customer usage data that can be analyzed with the help of machine learning solutions to secure market competitiveness, increase energy efficiency, manage risks, and lower operational costs. Analytics solutions also enable oil and gas exploration companies to analyze the data about oil and gas reserves, which helps them to increase efficiency and lower the operational risks and costs.

Machine learning is helpful in this vertical in many cases, such as for finding new sources of energy, analyzing minerals in the ground, forecasting refinery sensor malfunctions, and restructuring oil delivery to gain cost effectiveness. The energy and utilities sector uses machine learning, majorly for power/energy usage analytics, seismic data processing, carbon emission, smart grid management, and others (customer-specific pricing and renewable energy management).

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 Energy and Utilities 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
  • 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
  • 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

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