Artificial intelligence is moving deeper into business operations, but control over company data is becoming as important as the capabilities of the models themselves. Businesses must decide which applications warrant a private or dedicated environment and which can be handled through standard public cloud services. “The decision is not driven by the size of the company but by the kind of data the AI works with,” as Tibor Pakozdi, founder and CEO of AI.hr, points out for ICTbusiness Media - ICTbusiness.biz. 

Ericsson Nikola Tesla no longer views artificial intelligence solely as a tool that helps developers write code, but as part of the entire software development lifecycle. At the upcoming ENT Technology Days, taking place from 21 to 25 September, artificial intelligence will also be among the central topics.

Siniša Krajnović, PhD, President of the Management Board of ENT, sees the transformation brought about by artificial intelligence through products, internal processes, and changes in the way work itself is performed, while Jelena Jurišić, Director of Technology of the ENT Group (CTO), explains how specialized AI agents are now part of analysis, design, implementation, testing, and verification. In such a model, autonomy increases gradually, with quality control and human decision-making at critical points. At the same time, the change does not diminish the importance of engineers, but increasingly shifts their role toward architecture, domain understanding, and the management of complex automated systems.

The recent explosion of high-profile AI successes and investment announcements has captured the attention, and imagination, of the business world, according to Omdia.