IBM Watson Machine Learning vs OpenVINO comparison

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Executive Summary

We performed a comparison between IBM Watson Machine Learning and OpenVINO based on real PeerSpot user reviews.

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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution is very valuable to our organization due to the fact that we can work on it as a workflow.""Scalability-wise, I rate the solution ten out of ten.""It is has a lot of good features and we find the image classification very useful.""The most valuable aspect of the solution's the cost and human labor savings.""It has improved self-service and customer satisfaction.""I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive."

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"The inferencing and processing capabilities are quite beneficial for our requirements.""The initial setup is quite simple.""The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models."

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Cons
"Scaling is limited in some use cases. They need to make it easier to expand in all aspects.""The supporting language is limited.""In future releases, I would like to see a more flexible environment.""If I consider how we want to use it in our organization, certain areas of improvement can be addressed. For instance, we want to use it with Generative AI, not like ChatGPT, but in a way intended for industrial use.""Honestly, I haven't seen any comparative report that has run the same data through two different artificial intelligence or machine learning capabilities to get something out of it. I would love to see that.""They should add more GPU processing power to improve performance, especially when dealing with large amounts of data."

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"It has some disadvantages because when you're working with very complex models, neural networks if OpenVINO cannot convert them automatically and you have to do a custom layer and later add it to the model. It is difficult.""At this point, the product could probably just use a greater integration with more machine learning model tools.""The model optimization is a little bit slow — it could be improved."

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Pricing and Cost Advice
  • "The pricing model is good."
  • "I've only been using the free tier, but it's quite competitive on a service basis."
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  • "We didn't have to pay for any licensing with Intel OpenVINO. Everything is available on their site and easily downloadable for free."
  • More OpenVINO Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive.
    Top Answer:I've only been using the free tier, but it's quite competitive on a service basis. Heavy data usage and management can drive up the costs, but that's true for most platforms. Ultimately, pricing… more »
    Top Answer:In future releases, I would like to see a more flexible environment. It's a good product for customization and developing products. But when we need the most control over the delivery, Watson isn't… more »
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    Overview

    IBM Watson Machine Learning helps data scientists and developers accelerate AI and machine-learning deployment. With its open, extensible model operation, Watson Machine Learning helps businesses simplify and harness AI at scale across any cloud.

    OpenVINO toolkit quickly deploys applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends computer vision (CV) workloads across Intel hardware, maximizing performance. The OpenVINO toolkit includes the Deep Learning Deployment Toolkit (DLDT).

    Top Industries
    VISITORS READING REVIEWS
    Educational Organization21%
    Computer Software Company14%
    University12%
    Financial Services Firm9%
    VISITORS READING REVIEWS
    Manufacturing Company36%
    Computer Software Company9%
    University8%
    Comms Service Provider7%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise24%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    AI Development Platforms
    March 2024
    Find out what your peers are saying about Microsoft, TensorFlow, Google and others in AI Development Platforms. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    IBM Watson Machine Learning is ranked 9th in AI Development Platforms with 6 reviews while OpenVINO is ranked 10th in AI Development Platforms. IBM Watson Machine Learning is rated 8.0, while OpenVINO is rated 8.6. The top reviewer of IBM Watson Machine Learning writes "A highly efficient solution that delivers the desired results to its users". On the other hand, the top reviewer of OpenVINO writes "Open-source, easy to integrate, and perfectly tailored to the Movidius chipset". IBM Watson Machine Learning is most compared with Google Cloud AI Platform, Azure OpenAI, TensorFlow, Microsoft Azure Machine Learning Studio and PyTorch, whereas OpenVINO is most compared with TensorFlow, PyTorch, Google Cloud AI Platform, Azure OpenAI and Microsoft Azure Machine Learning Studio.

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    We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.