AI is changing the world. You have an infusion of AI at every step in the process, whether you talk about the first mile or the last mile. Whether you talk about AI being used to intelligently and automatically capture paper-based invoices or to enrich, augment, and predict incomplete data. But you can’t get results from AI if you have data silos. In fact, AI initiatives might fire back if you trained your models with the wrong data.
In today’s episode, our guest, Claus Jepsen, discusses why AI and ML solutions are less effective if businesses still have data siloed. He also discusses Unit4 stories and their unique approach to the cloud. Finally, he discusses issues with the first and last mile of AI and how they each offer unique challenges.
External blog post click to continue reading
Like this:
Like Loading...
Related
Author: cvjepsen
Claus Jepsen is a technology expert who has been fascinated by the micro-computer revolution ever since he received a Tandy TRS model 1 at the age of 14. Since then, Claus has spent the last few decades developing and architecting software solutions, most recently at Unit4, where he is the CTO leading the ERP vendor’s focus on enabling the post-modern enterprise.
At Unit4, Claus is building cloud-based, super-scalable solutions and bringing innovative technologies such as AI, chatbots, and predictive analytics to ERP. Claus is a strong believer that having access to vast amounts of data allows us to construct better, non-invasive and pervasive solutions to improve our experiences, relieve us from tedious chores, and allow us to focus on what we as individuals really love doing.
View all posts by cvjepsen
Claus Jepsen 