If you were talking to someone whose organization is considering Microsoft Azure Machine Learning Studio, what would you say?
How would you rate it and why? Any other tips or advice?
It's an easy tool. They have a good level of resources and we are pretty low with resources as far as data science is concerned. Azure Machine Learning offers an opportunity for those who haven't been introduced to Azure programming. You can use the data analytics and their statistics skills to build and deploy data science solutions that can be beneficial for society and for different organizations. I would rate it a seven out of ten.
I would recommend the product. It's a solution that can cover all the processes from data preparation to mobilization data while serving the clients and production. I'd rate the solution eight out of ten.
I'm a consultant. Our company is partners with Microsoft. Users will find it easy to get into Azure. Even if they aren't always in touch with Azure, they'll find themselves in touch with the dynamic field. Users have to get into Azure because once they get into the cloud, they should have some basic understanding of Azure itself. I'd rate the solution eight out of ten. However, I don't know their competitors, so I can't really compare them to others on the market.
Microsoft Azure Machine Learning Studio is a good solution that would recommend to others, but I would like to see more support and more information available for developers. I would rate this solution an eight out of ten.
My advice to anybody who is implementing this solution is to be prepared to take a slow approach to get the best results. The biggest lesson that I have learned from using this solution is that the strategic outsourcing contact will need to have a strategy for the next three to five years because the efficiencies that we will be gaining from AI will reduce the requirements on physical staff doing traditional roles. However, the support element will increase. It means that the roles will change and evolve over the next three to five years within the UK contact center based on the deployment of AI. I think that we probably didn't start from the point that would have benefited us most in terms of the AI. Had we put more research into the front end then there would have been a lot less work during the implementation. I would rate this solution a six out of ten.
Microsoft has increased the usability and the features since we first implemented this solution. If I had to start this process over again, I would involve Microsoft earlier because they were great for providing support, as well as guidance on the architecture and what kind of stuff you can do with the tool, and what you should do with it. This was very helpful to orient the team to the right documentation and tutorials. The second thing I would do is to start working with DevOps activity as soon as you can. We found ourselves redoing the same things many times, instead of having a DevOps pipeline to implement the stuff that we already stabilized, for example, and then not losing time. The third thing is involving an integrator to help put together the big picture. I would rate this solution a seven out of ten.