Software Engineer at a computer software company with 51-200 employees
Real User
Top 10
Dec 2, 2025
My main use case for IBM Watson Studio is the end-to-end ML life cycle. A specific example of a project where I used IBM Watson Studio for the end-to-end machine learning life cycle is that I built a data pipeline that takes a Kafka stream and loads the data into our S3 bucket catalog. Then I built a data pipeline on top of it which parses the catalog and provides structured data for our in-house NER recognition model.
In my role as an integrator, my primary use cases for IBM Watson Studio ( /products/ibm-watson-studio-reviews ) involve advanced analytics and predictive analytics for telecommunications, banks, and similar large enterprises. My customers utilize IBM Watson Studio ( /products/ibm-watson-studio-reviews ) for data cleansing, prediction, deployment, scoring, and other data science-related tasks.
It was used for some basic purposes because all I did was use Jupyter notebooks to run codes on the Snowflake environment. This was done by me at my previous job. I had just started using Jupyter notebooks to run Python codes on Snowflake data warehouses.
We are doing the cloud part of the IBM Watson Studio. The customer needed a marketing analytics solution. IBM Watson Studio is a very comprehensive suite of marketing solutions including AI and predictive analytics.
IT Consultant - Solutions Architect with 51-200 employees
Real User
Jan 19, 2020
I'm looking at data analytics for division making. In the working environment, I'm looking at how we can use the system to give insights based on company data relating to employees.
We use Watson Studio with an application we developed for restaurants on the Facebook Messenger platform using Chatbot. It contains many features like making orders and table reservations.
Assistant Manager, Technical Engineer at MiRaeTech
Real User
Dec 12, 2019
Our primary use for Watson Studio was to analyze the trans-video prints about the operation so they can get their own insight into how the public thinks about their corporation. Also, I analyzed resumes so the AI can generate the proper information for the resume.
Data Scientist at a tech vendor with 11-50 employees
Real User
Nov 18, 2019
I primarily used the solution as an API. The solution was a deployed model and I was just installing the API, sending some data and returning some data from REST API. It was very easy to use.
IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.
My main use case for IBM Watson Studio is the end-to-end ML life cycle. A specific example of a project where I used IBM Watson Studio for the end-to-end machine learning life cycle is that I built a data pipeline that takes a Kafka stream and loads the data into our S3 bucket catalog. Then I built a data pipeline on top of it which parses the catalog and provides structured data for our in-house NER recognition model.
In my role as an integrator, my primary use cases for IBM Watson Studio ( /products/ibm-watson-studio-reviews ) involve advanced analytics and predictive analytics for telecommunications, banks, and similar large enterprises. My customers utilize IBM Watson Studio ( /products/ibm-watson-studio-reviews ) for data cleansing, prediction, deployment, scoring, and other data science-related tasks.
I am participating in a project using Watson Studio for developing a chatbot for the banking industry.
We are looking to automate (parts of) our budgeting and financial forecasting cycle
I use IBM Watson Studio to analyze personal resumes. In general, we use the machine to analyze resumes.
It was used for some basic purposes because all I did was use Jupyter notebooks to run codes on the Snowflake environment. This was done by me at my previous job. I had just started using Jupyter notebooks to run Python codes on Snowflake data warehouses.
My primary use is to create a forecasting model for sales. I am doing automation from a supply chain point of view.
We are doing the cloud part of the IBM Watson Studio. The customer needed a marketing analytics solution. IBM Watson Studio is a very comprehensive suite of marketing solutions including AI and predictive analytics.
I'm looking at data analytics for division making. In the working environment, I'm looking at how we can use the system to give insights based on company data relating to employees.
We use Watson Studio with an application we developed for restaurants on the Facebook Messenger platform using Chatbot. It contains many features like making orders and table reservations.
Our primary use for Watson Studio was to analyze the trans-video prints about the operation so they can get their own insight into how the public thinks about their corporation. Also, I analyzed resumes so the AI can generate the proper information for the resume.
I primarily used the solution as an API. The solution was a deployed model and I was just installing the API, sending some data and returning some data from REST API. It was very easy to use.