Delta Lake vs. IBM watsonx.data

It integrates great with other tools or services that we use, of course, especially with those that come from IBM that work perfectly fine together. Since it understands all the data we give to it, we can organize the information easily without too much hassle. Something really unique could be the implementation. Especially with people not oriented to IA services, there should be an easier way to implement services like this one with people not used to this type of technology.

Incentivized

• Data processing.
• Train AI models.
• Data storage.
• API library.

Incentivized

• Too expensive so reduce the price
• Provide room for Asset management
• everyone know about licenses, its too expensive so reduce the prices
• Integrations are not flexible and not easy to use

Incentivized

First and the foremost thing is that it supports multiple languages which is key part of our business since we work overseas that was the first thing I had in my mind which IK started- off with it. Also that it is having advanced features like entity recognition and sentiment analysis to check how the user is prompting and that adds to the customer experience I don 't have to spend much time on it manually to solve FAQ's and queries, the bot is doing much itself. It has reduced the workforce by 1 practically and is saving bucks against the manual queries we were handling before.

Incentivized

IBM watsonx.data helps in reducing data warehousing costs. IBM AIOps Insights focuses mainly on incident management, while IBM watsonx.data provides a flexible data store.

Incentivized

• AI stuff helped

Incentivized