DataRobot Enterprise AI Suite for AWS
DataRobotExternal reviews
29 reviews
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It very easy to setup and run any AI model, low maintenance and good customer spport
What do you like best about the product?
Turn key solution to run any AI/NLP model.
1. Easy deployment and hassle free
2. Version management which will help to test any version.
3. GPU support
1. Easy deployment and hassle free
2. Version management which will help to test any version.
3. GPU support
What do you dislike about the product?
1. Cost is too high for statups
2. More documents
2. More documents
What problems is the product solving and how is that benefiting you?
1. Deployment problem.
2. Vertical scale
3. Maintenance
2. Vertical scale
3. Maintenance
Recommendations to others considering the product:
Turn key solution to deploy & run any AI/NLP model and hassle free.
best automation tool
What do you like best about the product?
i've used for predictive analysis and the ability to implement machine learning is the best
What do you dislike about the product?
I like everything about this product and has made my life easy
What problems is the product solving and how is that benefiting you?
eliminating manual jobs and ability to take decision on the fly helped our organization a lot
Algorithms for everyone
What do you like best about the product?
This platform is easy to use and makes implementing AI large scale super easy.
What do you dislike about the product?
It can be hard to use for those not versed in tech.
What problems is the product solving and how is that benefiting you?
It is easy to use if you have a tech background but not so much otherwise.
Recommendations to others considering the product:
Very easy to implement the daunting use of ML.
Great and easy to use service for machine learning
What do you like best about the product?
I got setup with Algorithmia in minutes and was able use the functionality quickly
Algorithmia allows us to deploy advanced machine learning algorithms quickly, and integrate this into our existing application
Algorithmia allows us to deploy advanced machine learning algorithms quickly, and integrate this into our existing application
What do you dislike about the product?
Quality of some of the algorithms are not very high, so you need to spend some time identifying the right algorithms
What problems is the product solving and how is that benefiting you?
ML for language identification of documents and classification of documents to existing categories, based on title and content of sample set
Recommendations to others considering the product:
Try it out if you have a need for machine learning.
Be aware of the pricing
Be aware of the pricing
ML-Ops as a Service
What do you like best about the product?
I manage a fast pace growing start-up focused on delivering AI services for the retail sector. Our specifications require us to develop, publish and manage many ML models, such as forecast engines, basket analysis algorithms, recommendation systems and so on.
We selected algorithmia as our tool for deploying our ML models. With this we could isolate the work load of publishing ang managing ML models as well as provisioning and infrastructure management. After we implemented algorithmia, our Data Science team was able to focus solely on devising the models and improving accuracy whereas all the job of making it available to customers was carried in the platform.
As a final result we were able to move faster and have our solution deployed in the target schedule.
We selected algorithmia as our tool for deploying our ML models. With this we could isolate the work load of publishing ang managing ML models as well as provisioning and infrastructure management. After we implemented algorithmia, our Data Science team was able to focus solely on devising the models and improving accuracy whereas all the job of making it available to customers was carried in the platform.
As a final result we were able to move faster and have our solution deployed in the target schedule.
What do you dislike about the product?
We use the Algorithmia marketplace. It is not a cheap solution. We tried to implement an intermediate version aiming to reduce costs but we could not find a feasible solution in terms of cost.
Unfortunately we are moving our infrastructure do a Lambda Serverless Architecture in AWS. We know that we will lose much of Algorithmia simplicity but we are being forced to make this shift due to cost restrictions.
Unfortunately we are moving our infrastructure do a Lambda Serverless Architecture in AWS. We know that we will lose much of Algorithmia simplicity but we are being forced to make this shift due to cost restrictions.
What problems is the product solving and how is that benefiting you?
We are publishing ML models in Algorithmia marketplace and using it as internal APIs of our main solution. With this we solved the problem of having to manage and monitor infrastructure for our ML models.
Data Robot appars to be an incredible solution
What do you like best about the product?
-Ease of use
-Don't have to be a data scientist to use
-Don't have to be a data scientist to use
What do you dislike about the product?
It's expensive, but I understand for some of the larger organizations the ROI justifies the cost.
What problems is the product solving and how is that benefiting you?
Our data science team has spent a lot of time coding and building out predictive algorithms, some of which never even went live. With this, we are able to leverage our existing customer and internal data sets to build out better roadmaps and improve our decision-making process.
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