AI projects require a different approach than traditional IT projects in order to succeed. This article covers the 5 main differences between AI and traditional IT projects that would help you adopt the right approach towards clients. First and foremost, specification is completely reversed. What this means is that instead of defining rules, you give the result as an input that will train the AI. This, in turn, means that you have to know the data you are working with. AI projects need to be conducted predictively, with a project design that supports predictive project development.
There are many AI solutions on the market – however, expecting AI solutions marketed as finished products should be taken with a pinch of salt. This article is dedicated to the steps that need to be taken, from AI algorithm to production solutions. All you have to do is make sure that you data is within your ecosystem. Once you have identified a spot where AI solution could be implemented, there are some steps you need to have into consideration. But no worries, a team of experts will help you go through each step.
This article is dedicated to everyone who is skeptical that Artificial intelligence will become a thing of the present. It is written by Dimitris Panagio, Seavus Stockholm CEO, and it covers the main areas where AI could be implemented and the ways in which it will advance existing business models. This whole new level of efficiency will open up completely new opportunities to be active in. Read how AI may become your strategic tool for balancing efficiency, legal requirements, profitability and innovation. Thus, employees can perform significantly more complex tasks and perform larger volumes of work than ever before.
Check out the interview with Magnus Andersson, our Division Manager for Development and Architecture (DNA) at Seavus Stockholm. He has an impressive background in Microsoft technologies, and a nearly 20 years of working experience in system development. In the interview he talks about what it means to work with Artificial Intelligence in Seavus and the after-work seminar events that they organize to share their passion for AI development.