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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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IBM Watson : A simplified AI solution
What do you like best about the product?
IBM watson offers extensive suite for Cognitive computing, NLP, ML-AI, data analytics, Assistant service and Languge models and translations.
Its easy to use and is perfectly suitable for business needs which doesn't need for a seperare development team to use.
This product is build with lot's for expertise from IBM which started from 2007.
It offers powerful capabities which suits modern data needs and it offers wide support for API & SDK which make interactions easy.
Its easy to use and is perfectly suitable for business needs which doesn't need for a seperare development team to use.
This product is build with lot's for expertise from IBM which started from 2007.
It offers powerful capabities which suits modern data needs and it offers wide support for API & SDK which make interactions easy.
What do you dislike about the product?
There are quite some customisation and integration challenges which is not so easy. Also, it needs continuous trainings for the the staff to utilise the platform potentially.
What problems is the product solving and how is that benefiting you?
NLP for building end users service automation services, Watson can be delegated assistant in medical and other industries.
Data Lake house
What do you like best about the product?
Great solution if you want to access all company data in one place (hub)
Ability to access structured, semi-structured and unstructured data
Ability to access structured, semi-structured and unstructured data
What do you dislike about the product?
At the moment I can't say anything negative. So far it is meeting my expectations.
Maybe IBM should make more efforts to access more clients.
Maybe IBM should make more efforts to access more clients.
What problems is the product solving and how is that benefiting you?
The main problem that the tool solves is being able to access data easily (both data from a data warehouse and file type data).
On the other hand, it has several execution engines (spark and presto), they promise more engines in the future
On the other hand, it has several execution engines (spark and presto), they promise more engines in the future
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