IBM Watson Assistant ML Pricing & Demo

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IBM Watson Assistant ML
Armonk, USA
1911
Enterprise
82 Likes
85 Buyers Negotiating

Summary

IBM machine learning software enables enterprises to create, deploy, and manage high-quality self-learning behavioral models to extract hidden value from enterprise data securely, in place and in real-time. The best machine learning software offered by IBM in the machine learning market includes IBM Machine Learning for z/OS, IBM Watson Machine Learning Service, and IBM Data Science Experience. IBM machine learning software for z/OS is an on-premises machine learning software that helps organizations to quickly ingest and transform data to create, deploy, and manage high-quality self-learning behavioral models.

Discussions

Strengths
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    licenses
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    Platform
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    Services
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    Software Tools
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    Professional Services (Consulting & Training)
  • +6
    APIs for Batch and Real-time Predictions
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    Data Transformations
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    Data visualization and exploration
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    Machine Learning Algorithms
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    Model assessment and scoring
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    Model Evaluation and Interpretation Tools
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    Modeling APIs
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    Breadth and Depth of Product Offerings
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    Product Features and Functionality
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    Customer Support
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    Dedicated Account Manager (DAM)
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    Others, please specify
  • +14
    Product Demos
  • +5
    Proof of Concept
  • +11
    Sales Support
Cautions
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    Customer Feedback Frequency
  • -10
    Large Enterprises (Revenue> 500 Million)
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    Small and Medium sized Enterprise
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    New Product Launches
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    Product Upgradation
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    Focus on Product Innovation
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    Product Differentiation and Impact on Customer Value
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    Product Quality and Reliability
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    cutomer satisfaction
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    Solution Scalability
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    Product Innovation
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    Managed services (Support & Maintenance)
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    Customer Redressal Mechanism/Program
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    Level of Support
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    On-Site Support
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    Remote Support
  • -5
    Products/Solutions Offered
  • -14
    R&D Spend
IBM Watson Assistant ML Presence in Machine Learning Software
IBM Corporation provides one of the best machine learning software to its clients. The company launched the IBM Machine Learning software for the private cloud. Moreover, in June 2016, IBM released a cloudbased application that permits developers and domain experts to collaborate on the development of custom annotator components, which will help identify indications and relations in unstructured data. Furthermore, the company spends 6–7% of its annual revenue on R&D for promoting and launching innovative and upgraded best machine learning software. The company’s strategic acquisitions, partnerships, and collaborations are intended to make it an emerging strong player in the hardware, software, and services market. In April 2016, IBM and SAP announced plans to drive clients’ digital transformation by combining complementary technologies and services, including IBM AI capabilities, IBM cloud and power systems, SAP S/4HANA, and SAP HANA cloud platform. The company's machine learning software makes it easy and cost-effective for the users to implement AI and machine learning assets in public, private, hybrid or multicloud environments. It facilitates the users to decentralize and distribute their model training by using Apache Spark to train machine learning and deep learning models on structured and unstructured data, whether it resides in relational databases, Hadoop and object storage.
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