IBM watsonx.ai vs. Neuton

Based on my experience, I can recommend that you have a good AI management system in your company account, and if you have the money at your disposal to invest in IBM watsonx, do not hesitate. We are using API models to obviously build a work environment with sustainable flow as well. We have AI and ML lifecycle support.

Incentivized

The machine learning modeling and time-series forecasting are the best things that Neuton's platform provides. Researchers in the field of healthcare, marketing and various other industries can use this platform to get more in-depth insights into the dataset that they have been working on. Neuton.ai is going to bring in image detection and text analysis in the future which makes the perfect choice for people from product management profiles and various Data Science backgrounds.

• it has many Reliable tools for algorithm modeling visualization.
• Highly secured, Integrated and all data optimized in one management
• Easily prepared and extract data from document.

Incentivized

• Exploratory Data Analysis
• Machine learning modeling
• Time Series forecasting

• APIs integration could be improved.
• steep learnings for tuning AI models
• performance lag

Incentivized

• User Onboarding with Google cloud platform is the most confusing part, this can be definitely be improved
• UI of the platform
• Front end of the website seems simple, little more features can be added so that people or users can navigate to various pages and know more about the platform

IBM watsonx.ai is more enterprise oriented providing more options regarding on-premises setup and other compliance issues. Better suited for the corporate world.

Incentivized

• We have already met our objectives in creating a supportive environment.
• This open-source tool increases the financial feasibility of the workflow.
• High price.

Incentivized

• We have had 2% increase in our market reach using the EDA from the Neuton's Platform