The setup is not very easy. I rate the ease of setup a seven out of ten. The deployment takes ten minutes.

The initial setup is relatively straightforward. The same team developing the models deploys and tests the solution. The tool requires a bit of ongoing maintenance. It is relatively easy to do.

The initial setup was very simple for me. But for other people, so we set up the environment for people in here. So, technically, I don't think process people would have faced much challenge about that because we usually set it up, call them, and we share a screen, and we set it up for them. So it's all there. 

Initially, when someone has no knowledge about that, it would be hard. If you don't know the AWS essentials, knowing the correct kind of storage might be a challenge.

Initially, deployment will take around maybe an hour. But after that, you just get used to it, so it is pretty much easy. Like, about 15 minutes, you're done, you're explaining. 

For us, it's always on on-premise things, even better be a data lake or data warehouse or modeling or anything. So, going from, like, hardcore coding every line in bit fit and embedding it on your own. Having a feature like that is just a relief. So it took a lot of time because one of the popular manufacturing companies underwent a hack. And after that, most of the manufacturing companies don't promote cloud solutions.

Our data LAKE is on-prem. So, basically, we just move the modules that are required at that point in time and pull it out.

I would rate the easiness of the initial setup as a six out of ten. The process of using Amazon SageMaker has some challenges, mainly due to the complexity of multiple components. Streamlining the deployment process with better scripting support would be beneficial, addressing the difficulties associated with managing various moving parts in the platform.

The deployment process in Amazon SageMaker is smooth once the initial setup is done. Integrating with other AWS services like RDS is a key aspect, requiring attention to connections and overall integration for a successful deployment.

There is nothing to install since it is all cloud-based.

Deployments are a matter of minutes, depending on what kind of tool you use. I use AWS CDK for deployment, and with CDK, if you know what you're doing, it takes 15 minutes.

The solution is deployed on a public cloud.

The number of people required for deployment depends on the company and how fast they want to get it done. I had once completed PoC and the implementation part, and it took me some time, but deploying it alone is not an end-to-end solution. The deployment process requires the expertise of data scientists to build the model and an engineer to deploy it. Deployment would involve a maximum of two individuals.

I rate the initial setup a three or two out of ten because it's very complex.

The product's initial setup phase and configuration were easy.

The product's installation phase requires two people.

The solution can be deployed in a few hours.

The solution’s initial setup was straightforward. On a scale from one to ten, where one is difficult, and ten is easy, I rate Amazon SageMaker a six out of ten for the ease of its initial setup.

On a scale of one to ten, where one is a difficult setup, and ten is an easy setup, I rate the setup phase a nine.

The solution is deployed on the cloud.

The deployment phase takes around 15 to 20 minutes since the product has good integration capabilities with other platforms like Jenkins and Terraform.

Our company uses Jenkins pipeline and Bitbucket for the deployment process. Everything is moved from CodeCommit to Bitbucket, after which the Jenkins pipeline takes it from Bitbucket and deploys it to SageMaker. We can do the deployment in the cloud as well, but we do it with Bitbucket and Jenkins since they allow for good integration with Amazon SageMaker, which is also easy for us to make it move.

We have a team consisting of solution and database architects in which, most of them are AWS-certified individuals capable of carrying out troubleshooting procedures in case of issues who take care of the solution's deployment process in our company.

The solution is deployed on the cloud. We do not manually install the solution on our machine. We do have a CLI on our machine.

The initial setup is straightforward. It's not complex.

The initial setup was very easy and quick, though deploying using cloud formation templates was difficult for us.

The initial setup is straightforward. People with level-one training can start using it.

It usually takes about one hour to deploy, although the length of time and the number of people required are dependent on the complexity of the use cases and the environment.

I would rate the product's deployment a nine out of ten since it's straightforward. The deployment gets completed within 20 minutes. You need one IT person and a developer to handle the deployment and maintenance. 

Initial setup is quite straightforward. 

The initial setup of Amazon SageMaker is straightforward. The solution is cloud-native making the process take a few minutes. Adding the extensions can take some time. We used CI/CD methods to implement the solution.

I did not have trouble with the initial setup and I don't think that it was very complex. Overall, I would say that it is good.