Azure Machine Learning vs. Google Cloud AI 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.

Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.

Incentivized

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 conversion from the voice to the text
• speed in the conversion from voice to text
• time-saving in the conversion activity
• analysis of the results of the conversion in real time

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

• Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
• Customization of existing modules and libraries is harder and it does need time and experience to learn.
• Google Cloud AI can do a better job in providing better support for Python and other coding languages.

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

We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.

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.

I give 8 because although it´s a tool I really enjoy working with, I think Google Cloud AI's impact is just starting, therefore I can visualize a lot/space of improvements in this tool. As an example the application of AI in international environments with different languages is a good example of that space/room to improve.

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

Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.

Incentivized

Not sure

In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.

Incentivized

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

These are basic tools although useful, you can't simply ignore them or say they are not good. These tools also have their own values. But, Yes, Google is an advanced one, A king in the field of offering a wide range of tools, quality, speed, easy to use, automation, prebuild, and cost-effective make them a leader and differentiate them from others.

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

• Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
• We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
• The ROI seems positive since we are full in with Google, and the tools come along with the functionality.

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