Automation Anywhere, headquartered in San Jose, California, offers their robotic process automation (RPA) software.
$750
per month
DataRobot
Score 8.6 out of 10
N/A
The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that gives users AI to drive business outcomes, that is available on the user's cloud platform-of-choice, on-premise, or as a fully-managed service. The solutions include tools providing data preparation enabling users to explore and…
Automation Anywhere is well suited for automating repetitive or complex tasks that can be performed on a timeline such as data processing, data extraction, and file transfers. Automation Anywhere also has capabilities for integration with legacy applications and APIs to automate more complex data flows. Automation Anywhere is also ideal for automating document processing, form filling and other web activities since it has both image recognition and image-based automation capabilities.
On the other hand, Automation Anywhere is less appropriate for tasks requiring high levels of system intelligence such as machine learning or natural language processing as these require different types of technology. Additionally, if a task requires manual elements such as validations or reviews then Automation Anywhere may not be the most suitable solution either. It can be possible to set up automated validations but that might not always result in an ideal solution due to its limitations.
DataRobot can be used for risk assessment, such as predicting the likelihood of loan default. It can handle both classification and regression tasks effectively. It relies on historical data for model training. If you have limited historical data or the data quality is poor, it may not be the best choice as it requires a sufficient amount of high-quality data for accurate model building.
Now I easily generate the invoices and quotation generation is an easy task now. Previously it was very time consuming as we have to drag the data from the excel sheets.
I will praise its integration with other software that has facilitated us to make amendments in the data across those platforms.
DataRobot helps, with algorithms, to analyze and decipher numerous machine-learning techniques in order to provide models to assist in company-wide decision making.
Our DataRobot program puts on an "even playing field" the strength of auto-machine learning and allows us to make decisions in an extremely timely manner. The speed is consistent without being offset by errors or false-negatives.
It encompasses many desired techniques that help companies in general, to reconfigure in to artificial intelligence driven firms, with little to no inconvenience.
Automation Anywhere doesn't come with easy installation, We need to install Java, IDEs and Databases in an orderly fashion which we are not able to do.
Automation Anywhere has no workflow design which is not making us to understand the process.
Automation Anywhere has no fit to size object cloning.
The platform itself is very complicated. It probably can't function well without being complicated, but there is a big training curve to get over before you can effectively use it. Even I'm not sure if I'm effectively using it now.
The suggested model DataRobot deploys often not the best model for our purposes. We've had to do a lot of testing to make sure what model is the best. For regressive models, DataRobot does give you a MASE score but, for some reason, often doesn't suggest the best MASE score model.
The software will give you errors if output files are not entered correctly but will not exactly tell you how to fix them. Perhaps that is complicated, but being able to download a template with your data for an output file in the correct format would be nice.
DataRobot presents a machine-learning platform designed by data scientists from an array of backgrounds, to construct and develop precise predictive modeling in a fraction of the time previously taken. The tech invloved addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics. DataRobot utilizes parallel processing to evaluate models in R, Python, Spark MLlib, H2O and other open source databases. It searches for possible permutations and algorithms, features, transformation, processes, steps and tuning to yield the best models for the dataset and predictive goal.
On more complex use cases, Automation Anywhere requires technical background like knowledge on network protocols and database language on task creation, and even people with technical background might have some trouble in the beginning because of the product particularities on how variable manipulation works, or how to get the object cloning (a more resilient screen manipulation command) to work as intended. The scheduling of tasks on the Control Room and the autologin feature isn't intuitive as they should, so much of this works requires documentation analysis to get it done on the first time.
Automation Anywhere is a great tool for a low cost, fairly easily scalable, and quickly learned. The company is growing by leaps and bounds and continually pushing the automation boundaries. The problem with fast expansion is that sometimes you can grow more quickly than you can appropriately support your products. While Automation Anywhere has an excellent support structure in place, every company and situation is different, and they often struggle with why problems arise in the system and how to fix them.
As I am writing this report I am participating with Datarobot Engineers in an complex environment and we have their whole support. We are in Mexico and is not common to have this commitment from companies without expensive contract services. Installing is on premise and the client does not want us to take control and they, the client, is also limited because of internal IT regulations ,,, soo we are just doing magic and everybody is committed.
Automation anywhere scores well with respect to other solutions when we look at bot implementation, bot management, and basic automation. From a security perspective as well, AA fares well as compared to other solutions. UIpath is better suited when we operate using VPN systems and integrating with homegrown solutions.
I've done machine learning through python before, however having to code and test each model individually was very time consuming and required a lot of expertise. The data Robot approach, is an excellent way of getting to a well placed starting point. You can then pick up the model from there and fine tune further if you need.
Highly reliable once you start experiencing the results. It helps you to have a clear cut results with better productivity numbers and financial savings
