IBM Watson Machine Learning Accelerator

Watson Machine Learning Accelerator Enterprise makes deep learning and machine learning more accessible to your staff, and the benefits of AI more obtainable for your business. It combines popular open source deep learning frameworks, efficient AI development tools, and accelerated IBM Power Systems servers. Now your organization can deploy a fully optimized and supported AI platform that delivers blazing performance, proven dependability and resilience. IBM PowerAI Enterprise is a complete environment for data science as a service, enabling your organization to bring new applied AI applications into production.

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8.0/10 (Expert Score) ★★★★★
Product is rated as #50 in category Data Science and Machine Learning Platforms
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Watson Machine Learning Accelerator Enterprise makes deep learning and machine learning more accessible to your staff, and the benefits of AI more obtainable for your business. It combines popular open source deep learning frameworks, efficient AI development tools, and accelerated IBM Power Systems servers. Now your organization can deploy a fully optimized and supported AI platform that delivers blazing performance, proven dependability and resilience. IBM PowerAI Enterprise is a complete environment for data science as a service, enabling your organization to bring new applied AI applications into production.

IBM Watson Machine Learning Accelerator
IBM Watson Machine Learning Accelerator

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Customer Reviews

IBM Watson Machine Learning Accelerator Reviews

Katherine S.

Advanced user of IBM Watson Machine Learning Accelerator
★★★★★
Fun During Hackathons

What do you like best?

The UI is very clean which makes it easier to understand the product. Also, there are loads of documentation to learn more about how to use this tool for AI.

What do you dislike?

I don't really know mainly because I only used it for a hackathon and not for a company. There was nothing I disliked.

Recommendations to others considering the product:

Start with the documentation even though there's a lot to read.

What problems are you solving with the product? What benefits have you realized?

In my team's hackathon, we were able to bring other technologies to enhance the experience. For example, in our project, we brought in Google Maps.

Review source: G2.com

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