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Read answers to top Data Science Platforms questions. 397,717 professionals have gotten help from our community of experts. | Glen Green Sr. Project Manager at a manufacturing company |
I have experience working as a senior integration architect for AI/ML enablement for a manufacturing company with 10,000+ employees.
We are currently evaluating data science platforms. Which vendor offers an end-to-end solution that really works from features management to model deployment?
Thanks! I appreciate the help.
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There is a lot of vendors that offers their data science platforms, but it depends on of what you call end-to-end vendors and if you write the Word really, well makes me think that you already test many of them. Data science platforms came from a variety of vendors like IBM, SAP, Microsoft, Domino Data labs, RapidMinder among others. First I suggest that you have a person or team ready to test these solutions, if not, remember to prepare some profiles with skills of programming and process design.
My recommendation is if you already work with IBM ask for their Data Science experience. In other case my suggestion is to try RapidMiner that seems to be very useful with a fluid interface for model deployment and could try Sas Enterprise Miner as the top of the model building and model deployment and appears as one of the leaders of these platforms.
I hope this was useful and regards.
KNIME or Alterxy is a good choice for a company to deploy AI applications.
It has:
1. light data processing like ETL,
2. AI modeling develop and deploy,
3. and output simple charts or output to databases for further use like API/BI/etc.
If you deploy in the cloud, you can also use the AWS Sagemaker or other cloud tools.
There are many vendors offering end to end deployment with pros and cons. You can evaluate based on :
- On-prem vs cloud requirement
- Data volume that you want to process
- Do you already have ETL processes in place to extract the relevant data from diff sources?
- How are you planning to consume your ML output (API/dashboard/reports, etc)?
- Lastly, your ML algorithms that you intend to use and whether analyzing structured or unstructured data or both.
If you need further details, I will ask my presales to get in touch with you. Please provide me your contact information
.
DataRobot for OnPrem
SageMaker for AWS
One potential solution might be the SAS platform https://www.sas.com/en_us/software/platform.html
As others have said, many options but add Dataiku, H2Oi, Alteryx, and Databricks to your list.
Check out our system at Novi.Systems. It's an entirely integrated platform that includes hardware and software that performs what you require and much more. We'd be glad to set up a demo for you that allows you to load your data and "test drive" all the capabilities for up to four weeks. Contact me at mike@novi.systems
Please check for H2Oi, AzureML, Tensorflow.