IBM watsonx.data as a Service
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Evaluation of watsonX.data
What do you like best about the product?
I found the tool extremely relevant, the use of artificial intelligence to work with data.
What do you dislike about the product?
I haven't had the opportunity to work with the tool to identify points I don't like.
What problems is the product solving and how is that benefiting you?
I still don't work with the tool to respond to this question.
Discovery and use of watsonx.data
What do you like best about the product?
Watsonx.data is an incredible tool that enables not only data storage but also its management and integration for more accurate and complete results in an easier way. It is quite user-friendly, easy to use, and the support and training team is always available and dedicated. We are in constant use of the tool to learn and make the most of its potential through the various integration possibilities.
What do you dislike about the product?
Up to the present moment, we are beginning the implementation of the tool and have not encountered any difficulties or aspects we dislike.
What problems is the product solving and how is that benefiting you?
Centralization of data storage and integrations between databases for more complete and efficient information cross-referencing and results.
A Bit Underwhelmed
What do you like best about the product?
I found the data was high quality and accurate.
What do you dislike about the product?
I had continue issues with my credentials timing out and my automation stalling.
What problems is the product solving and how is that benefiting you?
Text to speech
Analytics bot
What do you like best about the product?
The speed that it takes to fetch the result is too fast
What do you dislike about the product?
Cost is too high to use this product and not cost effective
What problems is the product solving and how is that benefiting you?
Our data magnitude is very high, where as watson is helping us retrive analytics very soon
Powerful Data Analytics Tool leveraging AI & creating Open Data standards
What do you like best about the product?
I esp like the flexibility offered by IBM Watsonx's open architecture, and also the potential to leverage the advancements by having data in a unified format & also facilitate further strong community connection due to it. Alao, I foresee, there would be lesser efforts involved down the line in migration or interchangeability, if needed.
What do you dislike about the product?
I found it a bit difficult to find certain docs and resources to implement the usecases that I wanted to try. This could possibly be resolved with time as d when more users adopt & form a well knit community around the same.
What problems is the product solving and how is that benefiting you?
The unification of data, be it from disparate sources or different formats makes it easy to avoid data silos & leverage the integrated power of data. Along with it, Watsonx's focus on data governance makes it a reliable choice for businesses with critical security needs.
The watsonX having all AI features that an usual user expect to have
What do you like best about the product?
I believe that hybrid cloud deployment is a valuable feature.
What do you dislike about the product?
The data interface appears complex, which may be difficult for new users to understand.
What problems is the product solving and how is that benefiting you?
Generally accessing an organization's data every time is very hard one may forget the keywords, This problem is resolved by Watsonx AI which is the best practice to ask it and get our needed data
AI integration in my data warehouse!
What do you like best about the product?
Using natural language to get insights into my data saves me a lot of time on unseen data.
What do you dislike about the product?
Instead of accessing vector databases from my IBM warehouse for my RAG application, I would rather prefer using Python/js libraries to vectorize my data in the developing process (especially for a lightweight application) thus eliminating a couple of extra steps and saves time.
What problems is the product solving and how is that benefiting you?
Cost cutting is the most over-looked feature for my company and integration with AWS pipelines is cherry on top.
AI powered Analytics.
What do you like best about the product?
The generative AI enabled conversational features helps to get the complex insights very simply, and its easy to integrate with databases.
What do you dislike about the product?
Costing is bit on the higher side which can be reduced or can be provided more trails so that user can atleast get comfortable with the tool in the trail period only.
What problems is the product solving and how is that benefiting you?
It helped in Data warehouseing while a very big chunk of file which we generated organisational wide that gets stored and manage very efficiency .
Review
What do you like best about the product?
Help us effortlessly reach and examine our widespread data, making the most of our resources to provide better user experiences. IBM Watson and AWS are improving cloud-based analytics and AI, allowing organizations to speed up their strategies for updating their data systems.
What do you dislike about the product?
Too expensive when compare to other data tools in the market
What problems is the product solving and how is that benefiting you?
Easy data access for analysis.
User experience by enhancing cloud based analytics and AI capabilities.(unified view of data)
Resource utilization.
Data Modernization which can lead to more agile and effective data mgmnt practices.
User experience by enhancing cloud based analytics and AI capabilities.(unified view of data)
Resource utilization.
Data Modernization which can lead to more agile and effective data mgmnt practices.
Exploring the pros and Cons of IBM watson : A complete overview
What do you like best about the product?
IBM watson's advaneced anaytics tools are really good which allow us to unravelintricate patterns and take impriotant decisions for business.
Anaother good thing about this is its seamless data integration.
This also provides collaborative environment which help in increasing efficiency in team. Overall its a very rich tool.
Anaother good thing about this is its seamless data integration.
This also provides collaborative environment which help in increasing efficiency in team. Overall its a very rich tool.
What do you dislike about the product?
Initially I found this really difficult to learn and this is something which can be worked upon like its not thatb easy to learn.
There were some cases and situations when we faced a lot of difficulty integration couple of data sources. And last but not the least is that this can be used for some specific situations but can not fit directly into complex business problems.
There were some cases and situations when we faced a lot of difficulty integration couple of data sources. And last but not the least is that this can be used for some specific situations but can not fit directly into complex business problems.
What problems is the product solving and how is that benefiting you?
Its NLP services are too good and we used this in lot of projects but this was really helpful in our project of customer calls data for loaylty team.
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