Intel Machine Learning Scaling Library Pricing & Demo

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Intel Machine Learning Scaling Library
Santa Clara, USA
1968
$50BN to $100BN
Enterprise
79 Likes
66 Buyers Negotiating

Discussions

Strengths
  • +9
    Platform
  • +10
    Services
  • +8
    Software Tools
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    APIs for Batch and Real-time Predictions
  • +14
    Machine Learning Algorithms
  • +5
    Model assessment and scoring
  • +12
    Model Evaluation and Interpretation Tools
  • +13
    Modeling APIs
  • +6
    Dedicated Account Manager (DAM)
  • +13
    Software Requirement Specification (SRS)
  • +10
    Product Features and Functionality
  • +10
    Customer Support
  • +12
    Others, please specify
  • +11
    Sales Support
  • +9
    Technical Support
  • +6
    Customer Feedback Frequency
  • +5
    Products/Solutions Offered
  • +10
    Large Enterprises (Revenue> 500 Million)
  • +8
    Managed services (Support & Maintenance)
  • +7
    Professional Services (Consulting & Training)
Cautions
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    Data Transformations
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    Data visualization and exploration
  • -12
    New Product Launches
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    Product Upgradation
  • -9
    Breadth and Depth of Product Offerings
  • -12
    Product Differentiation and Impact on Customer Value
  • -13
    Product Quality and Reliability
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    Product Demos
  • -5
    Proof of Concept
  • -7
    Solution Scalability
  • -8
    licenses
  • -12
    Product Innovation
  • -7
    On-Site Support
  • -8
    Remote Support
  • -11
    cutomer satisfaction
  • -14
    R&D Spend
  • -6
    Customer Redressal Mechanism/Program
  • -5
    Level of Support
  • -11
    Focus on Product Innovation
Intel Machine Learning Scaling Library Presence in Machine Learning Software
Intel Corporation is emerging as an eminent player in the best machine learning software market. The company has expanded its geographical footprint in various countries, including, China, US, Singapore, and Taiwan. Intel has adopted organic as well as inorganic strategies to cater to its customers in a better manner. Intel invests heavily in its R&D activities to come up with new upgradation in its products and services. In 2016, the company invested 21.5% of its total revenue in the R&D activities. Further, as a part of the organic strategy, the company has introduced various products in the industrial machine learning software market. For instance, in November 2016, Intel launched a new product - HARMAN Quick Predict using advanced best machine learning software algorithms, in collaboration with Harman International. The new product helps users to reduce process downtime and minimize the cost. Similarly, as part of its inorganic strategy, the company has entered into partnerships and collaborations with various companies. For instance, in October 2015, Intel acquired Saffron Technology, Inc., a cognitive computing platform provider. The acquisition helped Intel to integrate Saffron’s technology with its AI platform to offer more enhanced solutions to its customers.
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