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
2020-01-19T06:38:00Z
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
2019-12-12T07:43:00Z
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
2019-11-18T07:22:00Z
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.
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.
We are looking to automate (parts of) our budgeting and financial forecasting cycle
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.