Overall Satisfaction with IBM Cloud Pak for Data
Use case was to store utility data to build a smart utility solution for prediction of future trend. All data was stored and AI /ML algorithm was run on top of it and analytics dashboard also built on the same. It manage to store high volume of both structured and unstructured data and churn desired result in optimum time.
- In built AI/ML cabability
- Integration with other application
- Cloud storage
- more out of box integration
- more out of box AL/ML function
- Analytics
- cloud storage
- AI/ML
- Data ingestion
- significantly reduce data foot print
- AL/ML analysis for predictive analytics
- Client 360 understanding
better inbuilt integration with many system to store data
from multiple application to run matured AI/ML solution, which will give
prediction for utility service , SAP DI solution was not stable enough , faced
lot of problem in integration with other application, not enough matured AI/ML
function also not available , writing python script was challenge.
from multiple application to run matured AI/ML solution, which will give
prediction for utility service , SAP DI solution was not stable enough , faced
lot of problem in integration with other application, not enough matured AI/ML
function also not available , writing python script was challenge.
Do you think IBM Cloud Pak for Data delivers good value for the price?
Yes
Are you happy with IBM Cloud Pak for Data's feature set?
Yes
Did IBM Cloud Pak for Data live up to sales and marketing promises?
Yes
Did implementation of IBM Cloud Pak for Data go as expected?
Yes
Would you buy IBM Cloud Pak for Data again?
Yes