How big the process needs to be to make sense to automate? Including a sheet to try yourself! — With intelligent automation on the rise, I wanted to share a practical example of the cost and business case calculation, paying particular attention to the cost of the automation stack. Compared to traditional rule-based RPA workflows, intelligent automation introduces the need for machine learning, which adds its intricacies to the…

Hands-on tutorial for using Airtable, Aito and Integromat for automating the ML predictions on your data in real-time. — AirTable has been all the rave for a while now. It’s like Excel on steroids and high in the clouds. That didn’t sound a good way to start a blog, eh! :P I wanted to show how simple it is to add machine learning capabilities to your AirTable, with a…

My plan for making AI simple, not complicated, for the millions of business software users that learn to co-exist with thinking machines and software robots. — Business software has looked pretty much the same since I started working in tech 21 years ago. Fields crammed next to each other, and some tables with all the data. And buttons that presumably do some things. Admittedly, there has been a transition from heavy client-based apps to web —…

A practical case study exploring ticket triage implementation options and the actual machine learning implementation using the Aito.ai platform. — Service centres are ripe ground for automation, with demonstrated results to learn from and plenty of resources available to help get started. Automation benefits are obvious in customer service teams, IT supports, and anything that works based on incoming tickets or service requests.

My list of the coolest ML-related use cases the enterprise RPA teams are working on at the moment. — I am a Chief Product Officer at Aito.ai, a machine learning tool for RPA developers. I view the world through “aito-lenses” so the list contains use cases where our tool can be used, and what I encounter when working with the customers. …

Small AI is the next big thing in RPA. See my talk on-demand, check out the slides with some further reading links from this collection post. — Hel Tech is the top tech meetup in the town, but now for obvious reasons gone online mode. Organized on the first Monday of each month the event covers a variety of top-notch tech topics. October 2020 event was all about Robotic Process Automation (RPA), and I was in the…

Machine learning becomes vital in more complex RPA workflows. Follow the simple checklist to see if Aito.ai helps with your next RPA use case. — Robotic Process Automation helps to automate repetitive tasks without extensive development effort, even with systems that provide no API based access to functionalities. Commonly these workflows are developed with a “studio” that describes the flow of events in a visual way.

The way a data scientist do things is radically different from RPA developers, creating a 10–100x gap in “AI to RPA fit”. — Robotic Process Automation (RPA) is the fastest-growing enterprise software category, with large companies scrambling to automate manual tasks while avoiding costly projects to renew their legacy systems. Mainstream RPA today still mostly covers simple tasks, not processes. There is nothing wrong with the simplicity that gets the job done and…

One of the key elements of any machine learning solution is to figure out how to run it in production. …