AntWorks RPA (discontinued)

ANTstein needs no code or minimal programming. This makes the assigning tasks to bots much easier without wasting time. ANTstein in very useful in performing rule-based tasks. For some tasks and special cases, human assistance is still needed to make decisions.

Incentivized

• First: Being accoladed by infomationweek.com as a cognitive tool for machine learning and analytics, challenges repeated tasks to complete within no time, thus called AI based RPA.
• It understands the category of data and segregates the data into structured and semi-unstructured. Thus, it helps in achieving cognitive tasks in Image and pattern recognition. OCR capabilities make it compete with other RPA in the market.
• Its business pillars lie in Business Process as a Service (BPAAS) and Technology as a Service (TAAS). I used to integrate Zoho CRM, SugarCRM and FreshSales CRM with YellowAnt bot. Oauth 2.0 and token management play an important role in Antworks.
• The best part of the Antworks is that they have queenbot™ which makes colonies and give birth to threads to work on different computers and machines to automate a single and repetitive task.

Incentivized

• The OCR tool can be improved for multiple languages so as to recognize local fonts and for faster processing.
• Screen scraping is not accurate. Sometimes it shows special characters for unrecognized fonts.
• Computer Vision and Machine learning could be more accurate with training data and adaptive models.

Incentivized

ANTstein is designed to automate the entire business process rather than merely a single
discrete task. Leveraging fractal networks, rather than neural network technology, ANTstein is able to use relatively small data sets to train the engine thus enabling faster training, testing, deployment and execution of business processes.

Incentivized

Mostly we use data scraping tools and then take deep insights from the extracted data. Till now, we were unable to perform automation after scraping the data with the above-mentioned tools. But using ANTworks, we can automate the complete process. Our mainstream work process looks like: Twitter Hashtag extraction > Saving the scraped data to CSV > Importing the CSV in Python > Natural Language Understanding / NLTK in python > Creating pos/neg columns > giving positive and negative insights using analysis.

Incentivized

• Positive: Robotics Process Automation with AI and self-learning eases repeated tasks. Even when data structure changes, ANTstein handles by itself
• Negative: It shoes special characters when input fonts are not available in the system. Sometimes it becomes difficult to handle local language fonts.
• Positive: Detect text and non-text content in screen scraping, and web scraping with replication accuracy using OCR and Data Scraping.

Incentivized