Azure Machine Learning vs. Microsoft 365 Copilot

For [a] data scientist require[d] to build a machine learning model, so he/she didn't worry about infrastructure to maintain it.

All kind of feature[s] such as train, build, deploy and monitor the machine learning model available in a single suite.

If someone has [their] own environment for ML studio, so there [it would] not [be] useful for them.

I highly recommend its usage in Teams meetings to prepare a session transcript, meeting minutes,
next steps and recognize speech by person. Also within the meeting recording, there is separation between the people talking at the time. The Copilot image creation is very accurate and useful to
customize my PowerPoint presentations and other documents

Incentivized

• User friendliness: This is by far the most user friendly tool I've seen in analytics. You don't need to know how to code at all! Just create a few blocks, connect a few lines and you are capable of running a boosted decision tree with a very high R squared!
• Speed: Azure ML is a cloud based tool, so processing is not made with your computer, making the reliability and speed top notch!
• Cost: If you don't know how to code, this is by far the cheapest machine learning tool out there. I believe it costs less than $15/month. If you know how to code, then R is free.
• Connectivity: It is super easy to embed R or Python codes on Azure ML. So if you want to do more advanced stuff, or use a model that is not yet available on Azure ML, you can simply paste the code on R or Python there!
• Microsoft environment: Many many companies rely on the Microsoft suite. And Azure ML connects perfectly with Excel, CSV and Access files.

Incentivized

• Good analysis of the ticket system at the service desk, so that this can be anticipated properly
• For the management of IT environments, quick examples of scripting for desired solutions
• For consultants and managers, they co-pilot a technical report into language understandable to a non-technical client, including a visual summary.

Incentivized

• It would be great to have text tips that could ease new users to the platform, especially if an error shows up
• Scenario-based documentation
• Pre-processing of modules that had been previously run. Sometimes they need to be re-run for no apparent reason

Incentivized

• The quality of image generation in Microsoft Copilot could be improved. Compared to other AI platforms, Copilot's images often fall short in quality and frequently contain typos.
• When generating agents and chatbots, Microsoft Copilot currently doesn't appear to support file download functionality.
• The email reply function is useful, but the responses can sometimes be overly elaborate. It would be helpful to have more options for adjusting the tone.

Incentivized

Absolutely!!! I have a high regard for the product and will use it for years to come.

Incentivized

Easy and fastest way to develop, test, deploy and monitor the machine learning model.

- Easy to load the data set

-Drag and drop the process of the Machine learning life cycle.

it is nearly perfect and it’s usability one of the main factors and contributing to the score is how versatile this tool is. it is vastly usable in a multitude of circumstances, and has a few limitations, but overall this product works well for what it is intended. It is very helpful for some otherwise time consuming tasks.

Support is nonexistent. It's very frustrating to try and find someone to actually talk to. The robot chatbots are just not well trained.

Incentivized

Not sure

It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.

Incentivized

I think It lost the race for now. I don't think Microsoft will keep investing on it since we have better tools outside their environment. In my opinion, Microsoft Copilot is not even in the benchmark tools and in the race for AGI. I think Microsoft is way behind and Microsoft Copilot suffered the lack of investment like the one made by its competitors.

Incentivized

• Productivity: Instead of coding and recoding, Azure ML helped my organization to get to meaningful results faster;
• Cost: Azure ML can save hundreds (or even thousands) of dollars for an organization, since the license costs around $15/month per seat.
• Focus on insights and not on statistics: Since running a model is so easy, analysts can focus more on recommendations and insights, rather than statistical details

Incentivized

• It is too early to tell at the moment but I can see it as a positive moving forward
• The amount of time saved in creating content will be a huge asset for faculty
• The same holds true for students as they to will be able to safe a lot of time

Incentivized