Head of Data and Analytics at a manufacturing company with 501-1,000 employees
Reseller
2022-04-04T17:18:52Z
Apr 4, 2022
DataRobot is used to create models and monitor them as an MLOps. Additionally, to work as pre-processing, to create more features based on their data. It's helping build models much better. By using DataRobot you are using data science capabilities. The type of deployment model depends on the company, but a lot prefer the cloud rather than on-premise. However, some specific data needs to be not on-premise. Most companies want to be in the cloud, but not all the data is relevant there.
Data Scientist at a tech services company with 11-50 employees
Real User
2019-12-11T05:40:00Z
Dec 11, 2019
We are a healthcare startup, so we work with both the healthcare insurance providers as well as the hospitals. We are developing a robotic process automation system for both the insurance part and the hospital side of the healthcare industry. In that operating process automation, we plan to imbibe intelligence, with the help of machine learning.
Predictive Analytics solutions utilize statistical algorithms and machine learning techniques to analyze historical data and make predictions about future events or outcomes.
We work on AI and ML use cases related to technology and IT.
I did a proof of concept (POC) at DISH Wireless (company name) before they were about to sign a contract. Currently, I'm working on another POC.
DataRobot is used to create models and monitor them as an MLOps. Additionally, to work as pre-processing, to create more features based on their data. It's helping build models much better. By using DataRobot you are using data science capabilities. The type of deployment model depends on the company, but a lot prefer the cloud rather than on-premise. However, some specific data needs to be not on-premise. Most companies want to be in the cloud, but not all the data is relevant there.
We are a healthcare startup, so we work with both the healthcare insurance providers as well as the hospitals. We are developing a robotic process automation system for both the insurance part and the hospital side of the healthcare industry. In that operating process automation, we plan to imbibe intelligence, with the help of machine learning.