Automation Anywhere AI Agent vs DataRobot comparison

"We are now building all these checks through Automation Anywhere AI Agent which will do all the AI checks and then give the decision whether the policy is to be issued or not."

"I feel Automation Anywhere AI Agent is better than Blue Prism in that specific context."

"By automating repetitive processes such as data entry, report generation, and transaction processing, I reduced manual effort significantly as tasks that earlier took hours now take minutes, resulting in clear time savings."

"Since all three benefits are achieved—accuracy, efficiency, and cost saving—the business impact and dollar impact is really high."

"It's easy to do MLOps operations. It's a lot easier to manage jobs and see the logs if there's any drift in a model."

"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate."

"DataRobot is highly automated, allowing data scientists to build models easily."

"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."

"DataRobot can be easy to use."

"DataRobot has positively impacted my organization, and since we started using this tool, we have automated several legacy models with far better performance."

"We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."

"Tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours."

"When considering weaknesses and improvements, the platform does not give us the liberty to use our own features where we can bring out creativity."

"The OCR and document understanding of Automation Anywhere AI Agent still struggle with complex and unstructured formats such as invoices with multiple layouts, poor scan quality, or handwritten fields."

"The implementation cost even for a POC was very high, and that was a pain for all the customers."

"All the others can use it, but not to the maximum."

"DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality."

"The price points can also be improved."

"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."

"If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot."

"We dropped the plan to use DataRobot because we found the pricing to be on the higher side."

"There are some performance issues."

"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum."

"The price of DataRobot is good because if you take the price of the solution which is approximately $65,000, it is less than a data scientist. There are very few data scientists available."

"We dropped the plan to use DataRobot, because we found the pricing to be on the higher sise. We liked DataRobot a lot, but due to the pricing, we dropped that idea."