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Use RPA to collect better payroll data from multiple sources more securely, and leave Excel behind.

Photo by Mika Baumeister

Back in the early 1980s, Microsoft unveiled Multiplan, which eventually morphed into the most popular spreadsheet application in the world: Excel. Of the many use cases for Excel, payroll has to be right up there in the top 10. And slice this further into slivers of functionality and you get data transfer, data validation, task management, and so on. For this post, I’ll focus on the benefits of leaving Excel behind and using automation to help with data collection or payroll. …

When sales and marketing use automation to nurture a potential lead, you can turn curiosity into loyalty … and even love!

Photo by Wendy Scofield

Communication has never been more salient. Various forms of communication dominate our social discourse and behaviours, with technology at the forefront of our daily lives. To some, if you are not connected to the slipstream of mass communication, you are disconnected and irrelevant. …

Technical acronyms during an Apple event may not excite the general public, but there’s potential for RPA and ML to become mainstream terms sooner than you think.

My friend texted me during the recent Apple iPhone 12 presentation. “What does ML even mean?”, he asked. “It all looks fancy, but I’ve no idea what I’m going to use it for. It’s not exactly exciting.”

As an Apple fanboy, I found his lack of enthusiasm unforgivable, but did he have a point? On the surface, it appears that Apple is wowing us with fancy blobs that fill the screen with technical…

Say what you want about America’s healthcare system, it’s hard to argue that there isn’t significant room for improvement. There is critical consensus around its many issues, from wealthy insurance companies to uninsured ethnic groups missing out on vital treatment. It has been a fine balancing act for many an administration, yet automation technology appears to offer a solution that may help to ease the process of treating patients while making enough revenue to keep hospital doors open.

Photo by Marcelo Leal on Unsplash

Say what you want about America’s healthcare system, it’s hard to argue that there isn’t significant room for improvement. There is critical…

One of our users posted a question in our Community Slack that sparked my interest. He was asking how Aito works with Parabola. I had not heard about Parabola before, but looking at it I got excited.

I firmly believe there is so much more to automation than the attention grabbing RPA platforms like UiPath. For example, at the time of writing we are looking into introducing Aito as a library for Robot Framework. There are also UI based tools that make automating workflows super simple. And in this category Parabola seems to be doing really well. …

The correct company information is found even with typos in the name and a changed address.

Keeping your database clean

Let’s say you want to add a new company, “ABC Holdings”, in your customer database. Which version would you type in?

  1. ABC Holdings — Street 15, New York
  2. ABC Holdings Inc — 15 Street, New York
  3. ABC Holdings, Inc. — 15 Street, NY

You probably have a standard format you always use. But is it the same as what your colleagues use?

Now we get to the problem: How do we know for sure whether or not this company has already been contacted by…

In the beginning of March, Slack organized a virtual global hackathon in which teams were challenged to develop the most modern and engaging app experience for their users .

Using the Aito predictive database, Intwixt won the competition in the most challenging category: Best Net New Directory App with their Clever Sheets app. Criteria for this category were to build a fully functionally Slack application during the week of the hackathon.

We spoke to Sabin, who built the app together with Luke Birdeau. Sabin and Luke are co-founders of Intwixt.

Congratulations on winning the hackathon with the Clever Sheets app!

Thank you, winning the Slack hackathon has been amazing news…

Photo by Ales Me on Unsplash

By Tommi Holmgren — Chief Product Officer at

RPA practitioners often face situations where they need to work with imperfect data. As a result, we see less than optimal automation rates or sometimes even abandoning a desired workflow as the estimated value creation does not justify the development cost.

We see these examples all the time. Here are some recent ones.

  • Document extraction was not able to get VAT category per line item reliably, so automation performance was low.
  • Purchase invoice processing automation was not able to complete workflows, as it did not know the cost center to assign…

We exist to help developers build predictive functionality extremely easily and fast. In order to fulfil this promise, Aito manages a machine learning pipeline inside the predictive database.

The pipeline does operations like statistical relation discovery, feature selection and Bayesian inference, while simultaneously drawing data and statistics from the deeply integrated database.

Aito’s statistical reasoning pipeline before the concept learning update.

This pipeline is run in the millisecond scale and it is done fully automatically on the background so that you don’t need to care about the mathematical details. This let’s you predict e.g. a product category of an invoice with a simple predictive query like this:


Written by Tommi Holmgren, chief product officer at Aito

99.8% accuracy to predict a product category from invoice data. Done in 15 minutes. See how, and try yourself!

Missing data is everywhere

Recent months have brought several interesting customer cases to us at Aito, and we are looking forward to telling you more about them soon! Meanwhile, I wanted to explore a common use case using a public dataset that allows you to experience Aito’s superpowers firsthand.

Robotic Process Automation (RPA) users very commonly encounter problems with missing data points in the inputs of their automations. When data is partially unavailable, it makes the… predictive database — improved automation rates for your #rpa process. Next generation #ML. Try for free:

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