2020-11-05T08:46:14Z

What is your primary use case for IBM Watson Machine Learning?

Julia Miller - PeerSpot reviewer
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PeerSpot user
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6 Answers

MS
Real User
Top 20
2024-01-03T13:54:47Z
Jan 3, 2024

I'm mainly checking how easy it is to use this platform to implement products. My idea isn't very flexible, and it's quite easy to do something basic.

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Anurag Mayank - PeerSpot reviewer
Real User
Top 10
2023-03-16T10:27:35Z
Mar 16, 2023

We started to use the solution for POCs in our organization. So, we are not in a state where we use its services at a full-fledged level. Additionally, we use it to solve our queries and understand whether it is actually helping us solve our problems. Basically, this is how we have been using the solution for a year and a half. Since we are getting results from the solution, we are moving ahead with its implementation in our organization.

MA
Real User
Top 5
2022-11-14T19:30:06Z
Nov 14, 2022

We use this solution to understand the intent of our customers when they ask for products. As a result, we can understand user sentiments and predict what they are trying to achieve.

SG
Real User
2021-02-18T16:42:28Z
Feb 18, 2021

We are using this product to do some R&D work.

AH
Real User
2021-01-31T12:09:01Z
Jan 31, 2021

Most of the use cases have been around taking in a lot of human-created data by providers. For example, electronic medical records including the notes, the information, and the clinical aspect of care. What they're typically trying to do is adjust a lot of that type of information. Sometimes there is member feedback or member sentiment that's captured. The idea is to try to quickly assess and analyze that information and then prioritize it. The goal is to put the data in buckets for particular use around quality improvement and around identifying risks earlier, and things of that nature.

RichardXu - PeerSpot reviewer
Real User
Top 10
2020-11-05T08:46:14Z
Nov 5, 2020

We primarily use the solution for data science purposes. We use it for the deep learning, machine learning, and classification of the data.

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