IBM watsonx.ai vs. Microsoft 365 Copilot

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM watsonx.ai
Score 8.3 out of 10
N/A
Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models, and traditional machine learning into a studio spanning the AI lifecycle. Watsonx.ai can be used to train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities, and build AI applications with less time and data.
$0
ML functionality (20 CUH limit /month); Inferencing (50,000 tokens / month)
Microsoft 365 Copilot
Score 8.8 out of 10
N/A
For enterprises, Microsoft 365 Copilot (or just Microsoft Copilot) is a generative AI operating as an intelligent virtual assistant for work. Through a chat interface, business users can use it to solve a variety of complex tasks.
$31.50
per month per user
Pricing
IBM watsonx.aiMicrosoft 365 Copilot
Editions & Modules
Free Trial
$0
ML functionality (20 CUH limit /month); Inferencing (50,000 tokens / month)
Standard
$1,050
Monthly tier fee; additional usage based fees
Essentials
Contact Sales
Usage based fees
Microsoft Copilot
$31.50
per month per user
Offerings
Pricing Offerings
IBM watsonx.aiMicrosoft 365 Copilot
Free Trial
YesNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsPricing for watsonx.ai includes: model inference per 1000 tokens and ML tools and ML runtimes based on capacity unit hours.Pricing shown is based on an annual commitment. Discount available for annual payment.
More Pricing Information
Community Pulse
IBM watsonx.aiMicrosoft 365 Copilot
Considered Both Products
IBM watsonx.ai
Chose IBM watsonx.ai
IBM watsonx.ai has a far richer an more poowerful toolset for running scale AI services.
Chose IBM watsonx.ai
IBM watsonx.ai stands out in the ecosystem of artificial intelligence tools for its combination of flexibility, scalability and the ability to integrate multiple services in a single environment

IBM watsonx.ai se destaca no ecossistema de ferramentas de inteligência artificial …
Chose IBM watsonx.ai
To identify IBM watsonx.ai, our team has reviewed other AI choices we met from Google's Vertex AI and AI services provided by OpenAI. Even those offered strong generative capabilities; what was not found in IBM watsonx.ai were the several enterprise attributes that were …
Chose IBM watsonx.ai
The use cases of code explanation, code suggestion, code review, and code conversions from one language to another were relatively easy to build in Watson.ai than using copilot. I found that the contextualization of code for a packaged solution is easier to do in Watsonx.ai …
Chose IBM watsonx.ai
This is actually my first job, and I haven't had any experience with products other than IBM's because I am working for an IBM business partner. However, we leverage Watson.data for other tasks, such as storing data or creating an elastic search database for all our documents …
Chose IBM watsonx.ai
I think that the user interface is where IBM watsonx.ai shines the most compared to competitors.
There is a visual tool to build AI pipelines in a very easy and instinctive way, that anybody can master in no time I think.
Chose IBM watsonx.ai
IBM watsonx.ai is more enterprise oriented providing more options regarding on-premises setup and other compliance issues. Better suited for the corporate world.
Chose IBM watsonx.ai
We selected mostly due to the data security and governance as we are a healthcare organisation this is the utmost important to us
Chose IBM watsonx.ai
IBM Cloud Activity Tracker
Chose IBM watsonx.ai
The strength of the IBM watsonx.ai is that it doesn't extrapolate answers it doesn't have in the LLM which could be misleading.
Chose IBM watsonx.ai
I think Microsoft is getting behind on this technology (we did a comparison), so we are deciding to bet for IBM.
Chose IBM watsonx.ai
Modulos Agentic AI Governance Platform
Chose IBM watsonx.ai
IBM watsonx.ai has been far superior to that of Chat GPT AI. the UI elements prompt responses and overall execution of the AI was much better and more accurate compared to the competition. I can not recommend using this platform enough. Great job IBM. I hope the team behind …
Chose IBM watsonx.ai
About the same features, but these two require extensions and plug-ins to have the same functionalities
Chose IBM watsonx.ai
We are testing watsonx.ai currently and would like to implement orchestrate in the future!
Chose IBM watsonx.ai
the governance of AI its very important for the develop and cycle of AI models
Chose IBM watsonx.ai
BMC Helix Business Workflows
Microsoft 365 Copilot
Chose Microsoft 365 Copilot
We needed a tool where secure data was not submitted to servers to process as we have some health care related data to keep private. We also needed to be able to test this tool without committing first to see if it is a fit and Microsoft provided this easily to us.
Chose Microsoft 365 Copilot
I love Bing Copilot because it is integrated to Bing, I can have the answers easily using my phone or my laptop.
The answers show the links just in case one needs to have further information about a topic, and somehow the tool feels friendlier than the other tools such as …
Chose Microsoft 365 Copilot
Copilot standout in user friendliness and it's added with MS 365, chats are saved as well.
Chose Microsoft 365 Copilot
Our organization runs on Microsoft so it's not much of a choice, but we do utilize the other AIs in the other tools as needed / more convenient.
Chose Microsoft 365 Copilot
All data remains within the company, in the tenant. Customer data must never be leaked to an unprotected environment, not even targeted customer issues. That's why Copilot is much better suited for this.Copilot is also a Microsoft product, and its integration with all other …
Chose Microsoft 365 Copilot
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 …
Chose Microsoft 365 Copilot
they work beautifully in their own ecosystems. since my organization mostly uses Microsoft products, Microsoft Copilot is user to navigate compared to gemini
Chose Microsoft 365 Copilot
Since Microsoft Copilot can be integrated into Microsoft 360, we think that Copilot has the advantage.
Chose Microsoft 365 Copilot
Microsoft Copilot is a serious competitor to ChatGPT in the corporate world, due to its heavy and well implemented integration across the Microsoft 365 suite. It produces comparable results, but provides data security, controls, customisation and options that ChatGPT can't …
Chose Microsoft 365 Copilot
Copilot is dominates ChatGPT in business related capabilities, like the listed below:
- Email content recommendation making it more professional and in business language
- Copilot creates more accurate and better looking custom images per my instructions
Chose Microsoft 365 Copilot
Since we use Microsoft 365 apps in our day-to-day work, we didn't have to choose Copilot over any other AI. It just came with the subscription. However, I would still use it over ChatGPT because Copilot is integrated with all the major Microsoft apps that we use. We dont need …
Chose Microsoft 365 Copilot
I find that ChatGPT offers better image quality than Copilot, and creating custom GPTs in ChatGPT feels more intuitive than generating agents in Copilot Studio. However, Copilot provides more reliable sources for research compared to ChatGPT, which sometimes returns …
Best Alternatives
IBM watsonx.aiMicrosoft 365 Copilot
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10

No answers on this topic

Medium-sized Companies
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10

No answers on this topic

Enterprises
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Oracle Digital Assistant
Oracle Digital Assistant
Score 7.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM watsonx.aiMicrosoft 365 Copilot
Likelihood to Recommend
8.2
(0 ratings)
10.0
(0 ratings)
Usability
7.8
(0 ratings)
9.5
(0 ratings)
User Testimonials
IBM watsonx.aiMicrosoft 365 Copilot
Likelihood to Recommend
For genai apps its very good i can say where we don't have to worry about the whole ecosystem their whole ecosystem is flawless and very powerful analytical capabilities. It maintains the data Quality and data security. When cost is concerned and when there are large data involved. It becomes costly and tuning of model is not straightforward as there is no proper active community for which we can take help
Read full review
In my experience, if you're using within the Microsoft office suite, it has the best integration. The usability is great and the user has to put little effort to get a task done. On the other hand, in my experience, coding within Visual Code is unreliable and the results are not consistent. You can't use with different programming languages and ask for complex tasks. Pitty because I think the VS integration is great.
Read full review
Pros
  • It allows specialists to apply several base models for specific subtasks in the field of NLP.
  • Gives the availability of many models developed for AI enhancement for different solutions.
  • Has incorporated functionality for data governance and security to support access to AI tools by multiple users.
Read full review
  • Copilot helps me manage my emails efficiently.
  • Copilot helps me summarize Teams meetings in real time and generates thoughtful questions during discussions.
  • Copilot's ability to generate PowerPoint presentations from other documents has been a major time-saver.
  • Copilot seems to outperform other AI platforms in finding sources for search queries.
  • Copilot Studio makes it easy for me to generate agents and chatbots.
Read full review
Cons
  • I would love it to provide more low-code or no-code options so we could offer Watsonx to non-developer staff and students instead of ChatGPT or Copilot.
  • They should have a natural language interface to the AI Assistant analytics so that there is no need to graph these outside Watson.
  • Similarly, the 30 day limit on conversation data is limiting and drives us to build reporting outsdie IBM watsonx.ai.
Read full review
  • Like all other AI systems, Copilot suffers from hallucinations. You have to be very careful with the output it generates. It could be completely wrong. It needs to be checked and rechecked to see if it is correct.
  • Copilot sometimes struggles to formulate accurate responses to complex queries. It will either provide an incomplete response or generate a response that would be completely wrong.
  • Right now, I am unable to customize Copilot for my specific needs. Hopefully, in future versions of the AI, this will be taken care of.
Read full review
Likelihood to Renew
its a future
Read full review
Absolutely!!! I have a high regard for the product and will use it for years to come.
Read full review
Usability
I needed some time to understand the different parts of the web UI. It was slightly overwhelming in the beginning. However, after some time, it made sense, and I like the UI now. In terms of functionality, there are many useful features that make your life easy, like jumping to a section and giving me a deployment space to deploy my models easily.
Read full review
It's integrated well across the Microsoft 365 suite of applications, without getting in the way, and providing useful tools. Some of the integrations need development, e.g. the Outlook add on is quite basic, and the excel and powerpoint ones can't do much yet. The implementation in Teams is really fantastic, significantly improving the experience of recording, transcription, and summarising meetings and action points.
Read full review
Alternatives Considered
The use cases of code explanation, code suggestion, code review, and code conversions from one language to another were relatively easy to build in Watson.ai than using CoPilot. I found that the contextualization of code for a packaged solution is easier to do in Watsonx.ai platform during my initial research.
Read full review
We needed a tool where secure data was not submitted to servers to process as we have some health care related data to keep private. We also needed to be able to test this tool without committing first to see if it is a fit and Microsoft provided this easily to us.
Read full review
Return on Investment
  • Time saving to set up the infrastructure - without watsonx.ai we would have had to set up everything individually
  • The first point translates directly into cost savings
  • The compliance aspect was a game changer for us and provided us with the confidence to focus all our efforts only on IBM watsonx.ai
Read full review
  • Service desk employees resolve some tickets much faster thanks to Copilot support. This percentage, according to current knowledge, is between 20% and 30%.
  • For administrators, creating scripts and automations with Copilot support saves them a significant amount of time. This currently stands at between 20% and 40%.
  • If you don't give the copilot proper instructions, you'll also get answers that aren't valuable. You do need some knowledge or training to get the right answers from the copilot.
Read full review
ScreenShots

IBM watsonx.ai Screenshots

Screenshot of the foundation models available in watsonx.ai. Clients have access to IBM selected open source models from Hugging Face, as well as other third-party models, and a family of IBM-developed foundation models of different sizes and architectures.Screenshot of the Prompt Lab in watsonx.ai, where AI builders can work with foundation models and build prompts using prompt engineering techniques in watsonx.ai to support a range of Natural Language Processing (NLP) type tasks.Screenshot of the Tuning Studio in watsonx.ai, where AI builders can tune foundation models with labeled data for better performance and accuracy.Screenshot of the data science toolkit in watsonx.ai where AI builders can build machine learning models automatically with model training, development, visual modeling, and synthetic data generation.