IBM watsonx.ai vs. InterSystems IRIS

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

Incentivized

It is best suited in the scenario where a single interface is required for providing [a complete end-to-end] solution to the customers. You don't need [a] separate platform to write code or [perform] database operations. All you need is InterSystems IRIS software and you are done. You can also use analytics functionality which is one of the greatest [features] which many customers need for their solution[.]

• 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.

Incentivized

• Connecting with mutliple vendor platforms and systems allowing us to consume and provide data as needed.
• Allowed us to implement our own RESTful api engine to server data to our internal applications.
• Setting up their recommendations for high availability allow us to perform server maintenance with minimal down time to our users.

• 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.

Incentivized

• Enhanced documentation, more comprehensive and user-friendly documentation, including detailed tutorials and examples
• Improving compatibility and integrations with others programming languages
• Introducing tools and techniques to optimize the performance of ObjectScript applications, such as profiling tools, performance monitoring utilities, and code optimization guidelines
• A better compatibility with Python libraries

its a future

Incentivized

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.

Incentivized

The interface is very intuitive, the documentation is very good so it is not complicated to operate.

The security is complex, but you can create a special role to access and the user ONLY can operate with the part that it allows.

Also, you can examine the data very quick with the SQL Browser integrated.

The InterSystems WRC has always been helpful and responsive. The folks I have spoken with are always understanding of our needs and questions and regardless of if the question is simple or complex we are always met with the same professionalism and helpfulness every time. I have no hesitations contacting InterSystems for help!

Will done based on a proper planning, so this will makes execution more easier and better.

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.

Incentivized

Tibco was not originally planned to be used for HL7 Integrations and as such we had to create some very complicated processes in order for the messages to parse and validate appropriately. It was simply not built for this type of interoperability. Comparatively, InterSystems IRIS for Health (HealthConnect) has out of the box HL7 features that would parse messages, offer a variety of validation options, simplified data lookups and transformation and reduced the amount of time it took to develop connections with out vendor systems. InterSystems IRIS also allows one to push just single files into production at a time so there is less of a chance of us pushing something that should not be in production yet as our previous system was set up to with TIBCO deployments

Incentivized

• 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

Incentivized

• Very Fast and scalable software to deal with big data flow, safe and robust.
• The studio IDE is quite old fashion and lacks a few facilities
• amazing for complex data consumption, its milyi-model capability wich allows multiple different models for a single set of codes.