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.
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.
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 …
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 …
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 …
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 …
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.
IBM watsonx.ai is more enterprise oriented providing more options regarding on-premises setup and other compliance issues. Better suited for the corporate world.
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 …
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.
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 …
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 …
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 …
they work beautifully in their own ecosystems. since my organization mostly uses Microsoft products, Microsoft Copilot is user to navigate compared to gemini
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 …
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
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 …
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 …
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
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.
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.
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.
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.
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.
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.
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.
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.