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Avaliação do watsonX.data
What do you like best about the product?
Achei extremamente relevante a ferramenta, o uso de inteligência artificial para trabalhar com dados.
What do you dislike about the product?
Ainda não tive a oportunidade de trabalhar com a ferramenta para identificar pontos de que não gosto.
What problems is the product solving and how is that benefiting you?
Ainda não trabalho com a ferramenta para responder a este questionamento.
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Descoberta e uso do watsonx.data
What do you like best about the product?
O watsonx.data é uma ferramenta incrível que possibilita, não só o armazenamento de dados, mas sua gestão e integração para resultados mais assertivos e completos de maneira mais fácil. É bastante didática, fácil de usar e o time de suporte e treinamentos está sempre disponível e dedicado. Estamos em constante utilização da ferramenta para aprender e poder aproveitar ao máximo seu potencial através das diversas possibilidades de integrações.
What do you dislike about the product?
Até o presente momento estamos iniciando a implementação da ferramenta e não tivemos nenhum ponto de dificuldade ou que não gostamos.
What problems is the product solving and how is that benefiting you?
Centralização do armazenamento de dados e integrações entre bancos para cruzamento das informações e resultados mais completos e eficientes.
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
Senior Analyst
What do you like best about the product?
It is data management solution for collecting, storing and analyzing enterprise data with a single unified platform.
It is a fit-for-purpose data store built on an open lakehouse architecture. It is supported by querying, governance, and open data.
It provides a centralized gateway to access all data thanks to a unified metadata layer that spans both cloud and on-premises setups.
It is available as a Managed Service on IBM and AWS clouds as well as Software on Red Hat OpenShift Kubernetes.
It represents the future of data lakehouses as the industry's sole open, hybrid, and governed data repository.
It is a fit-for-purpose data store built on an open lakehouse architecture. It is supported by querying, governance, and open data.
It provides a centralized gateway to access all data thanks to a unified metadata layer that spans both cloud and on-premises setups.
It is available as a Managed Service on IBM and AWS clouds as well as Software on Red Hat OpenShift Kubernetes.
It represents the future of data lakehouses as the industry's sole open, hybrid, and governed data repository.
What do you dislike about the product?
Starting with the negatives or downs, Watson is :
It is available only in English (Limits areas of use)
It Seems as disruptive technology similar to that of AI tools.
Maintenance is somewhere costly.
It doesn't process structured data directly.
It Increases rate of data, with limited resources available.
It is available only in English (Limits areas of use)
It Seems as disruptive technology similar to that of AI tools.
Maintenance is somewhere costly.
It doesn't process structured data directly.
It Increases rate of data, with limited resources available.
What problems is the product solving and how is that benefiting you?
watsonx. data could allow us to easily access and analyze our expansive, distributed data and maximize our resource utilization to deliver superior user experiences. IBM watsonx. data and AWS are enhancing cloud-based analytics and AI, enabling organizations to accelerate their data modernization strategies.
It helps enterprises automate the business workflows, streamlining IT process and internal business processes, protecting them against threats and vulnerabilities, and tackling the sustainability goals. It also includes a data store, built on lakehouse architecture, and an AI governance toolkit.
IBM Watson performs analytics on vast repositories of data that it processes to answer human-posed questions, often in a fraction of a second.
It helps enterprises automate the business workflows, streamlining IT process and internal business processes, protecting them against threats and vulnerabilities, and tackling the sustainability goals. It also includes a data store, built on lakehouse architecture, and an AI governance toolkit.
IBM Watson performs analytics on vast repositories of data that it processes to answer human-posed questions, often in a fraction of a second.
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.
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