Hyperight

Engineering challenges in building operational AI and how to avoid them – Daniel Skantze, Peltarion

There is a lot of hype around AI nowadays. Apart from the big players like Google, Facebook and Apple, AI remains complicated for most companies. This is true because the challenges in using AI lie not only in understanding the algorithms. It is also about the software engineering challenges of rapidly processing massive amounts of data, running training jobs on specialized hardware, orchestrating parallel jobs, visualizing data and output from models and much more. But on an even bigger picture, it also requires a different organisational mindset and workflow when moving the problem statement to the data. This presentation will go into some of these challenges, outline how we have approached them at Peltarion.

Add comment

Highlight option

Turn on the "highlight" option for any widget, to get an alternative styling like this. You can change the colors for highlighted widgets in the theme options. See more examples below.

Instagram

Instagram has returned empty data. Please authorize your Instagram account in the plugin settings .

Ivana Kotorchevikj

Categories count color

Advertisement

Small ads

Flickr

  • Matty
  • on rear
  • Traffic lights
  • WoMo
  • Setra presentation
  • endless
  • stand still screening-smoking girl
  • Maya d'Odessa performs her art of make-up
  • Afro-deko-mono

Social Widget

Collaboratively harness market-driven processes whereas resource-leveling internal or "organic" sources.

ThemeForest