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Best AI Tool Available 2024
What do you like best about the product?
It's a platform that has all the functionalities that are needed by a developer on an everyday basis. Its so easy to use and integrate that the implementation can be done within a short amount of time. It has an excellent customer support that I would definitely use it frequently.
What do you dislike about the product?
For now I am satisfied by all the features it offers.
What problems is the product solving and how is that benefiting you?
It helped me deploy a code that was just in the execution phase and deliver it to my team so that they could use it everyday. Otherwise that code would have come into production.
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very good
What do you like best about the product?
it is really helpful in cleaning and processing data
What do you dislike about the product?
i have nothing to dislike about Dataiku as of now
What problems is the product solving and how is that benefiting you?
Organising data
Functional Data Management and Analytics Tool
What do you like best about the product?
Dataiqu has a user-friendly interface that simplified data management and analysis for my team. It allows for great collaboration, allowing my team to share data and work together on projects.
What do you dislike about the product?
While Dataiku's user-friendly interface is nice, the platform isn't as powerful as others. Like any new software, there is a bit of a learning curve when getting started.
Lastly, my team found that the performance can be sluggish with large datasets.
Lastly, my team found that the performance can be sluggish with large datasets.
What problems is the product solving and how is that benefiting you?
Dataiku allows my team to prepare, analyze and collaborate on large datasets. It prevents us from working in a silo and allows us to share insights and use our collective ideas to further our marketing efforts.
Good user experience but limited capabilities
What do you like best about the product?
Robust tool, great capabilities and helped me automate some reports that I didnt need to spending time on every week.
What do you dislike about the product?
Can be difficult to figure out what all the tool does. User experience could be better.
What problems is the product solving and how is that benefiting you?
It makes working in large data sets faster. I can get more insghts faster and as a result have more time to do the other elements of my job.
Great Data Science Platform for data professionals
What do you like best about the product?
Useful to process numerical, text, vector features. It has great data handling. Helpful in building machine learning models.
What do you dislike about the product?
It has large processing time. Sometimes inefficent workflow management can be observed.
What problems is the product solving and how is that benefiting you?
It has great data handling. Data crom multiple sources can be combined and also has great collabration features.
AI ML company
What do you like best about the product?
It is targeting smaller companies especially start up.
What do you dislike about the product?
There is a competition in the market. I think Dataiku is struggling to get their brand
What problems is the product solving and how is that benefiting you?
Retails data analysis
Data okie for Project Management
What do you like best about the product?
Great for building and refining project management documents and data analysis in consulting work to help business grow
What do you dislike about the product?
Relative standing as compared to other well known platforms
What problems is the product solving and how is that benefiting you?
Project management
Streamlining Data Science Workflows
What do you like best about the product?
The ability to automate repetitive tasks like model deployment and report generation is a game-changer. Dataiku frees up data scientists to focus on higher-level analysis and innovation, which is what I find most valuable.
What do you dislike about the product?
While Dataiku excels at streamlining many aspects of the data science workflow, optimizing workflows involving large datasets can be cumbersome. When dealing with a massive number of data partitions, I encountered processing issues that caused delays. A more efficient way to handle big data within the platform would be ideal for streamlining workflows with these complex datasets.
What problems is the product solving and how is that benefiting you?
Communication and collaboration between data scientists and business users were clunky. Dataiku's intuitive interface and collaborative features bridge this gap, allowing everyone to stay on the same page and contribute effectively.
Helpful for project collaboration
What do you like best about the product?
It allows us to apply current project workflow to new data without any need of low level abstarction of project.
What do you dislike about the product?
It is very useful software but processing charges are a little high.
What problems is the product solving and how is that benefiting you?
Dataiku simplifies data integration, enhances collaboration, and automates machine learning workflows, allowing users to efficiently prepare, analyze, and model data, thereby accelerating insights and improving decision-making.
Robust tool for data science engineer
What do you like best about the product?
Frequently Use: this tool we use very frequently for data analysis and optimise an d filtering.
Easy to use: this tool is easy to use.
It's very user friendly
Easy to integration: this tool is easy to integration with other platforms.
So that we could collaborate with other team.
No of features: there are no of features .like
1.robust data integration
2. scalability
3. Visual data preparation
4.modelmonitering
Etc
Easy to implementation: dataiku dss is easy to implementation
Customer support: this is very good customer support.
Easy to use: this tool is easy to use.
It's very user friendly
Easy to integration: this tool is easy to integration with other platforms.
So that we could collaborate with other team.
No of features: there are no of features .like
1.robust data integration
2. scalability
3. Visual data preparation
4.modelmonitering
Etc
Easy to implementation: dataiku dss is easy to implementation
Customer support: this is very good customer support.
What do you dislike about the product?
Although this tool is very easy to use nd user friendly but some people who are new in data science get some challenging to use.
Cost: cost is also high .this is not suitable for small organization .
Limited free version:there are limitations of free version.
Cost: cost is also high .this is not suitable for small organization .
Limited free version:there are limitations of free version.
What problems is the product solving and how is that benefiting you?
The problem is solving of data integration.
It's robust data integration tool for it integrate data from various data sources
It's robust data integration tool for it integrate data from various data sources
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