Boosting Knowledge Management: How agile AI experiments can help big companies like Futurice identify who knows what within their organisation

The whole project only took a couple of weeks and was carried out by developers and UI designers — no data scientists were needed.

  • Flowdock: the internal company chat platform. Information varies from “what’s the recipe for Finnish peasoup” to “I’m facing some weirdness with a non-CLS-compliant API”
  • Google public calendars: this included around historical 500.000 non-private events that Futurice organised or that employees have been invited to
  • Planmill: which houses publicly available project info about who is working on which project/client
  • Power-tool: a project allocating tool which matches employee-skills with their wishes to work on certain projects or with certain technologies
The query syntax resembles SQL, and it reflects Aitos’ internal query pipeline
Version 1 of the user interface. Currently Futurice is developing the UI further.

--

--

--

Aito.ai decision automation in the cloud. #ML for #nocode and #rpa operators.

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Back to the Future with Codex and COBOL

JAMstack: Blast Off Your Website

Port Scanner With Python

The God Object Or The God Class Anti-Pattern

Photo by Sneaky Elbow on Unsplash

Dictionary & Set Comprehensions

Why I Am Learning To Code

Four Steps (Maybe Five) to Improve Your Workflows

Fastvideo SDK vs NVIDIA NPP Library

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
aito.ai

aito.ai

Aito.ai decision automation in the cloud. #ML for #nocode and #rpa operators.

More from Medium

The most important step in MLOps: Model Drift

How to prioritize the right AI project?

AI & ML in Food Industry

How AI Helps Companies Reduce Storage Costs