Are you planning to integrate AI into your telecom business? This is a must-read before you do it.
As we wrote in our previous articles, AI brings many benefits, but also many risks that can seriously harm different parts of a telecom business. These risks range from regulatory fines and legal liability to loss of customer trust, as well as operational and financial difficulties. You can read more in our article “The AI revolution in telecom: Maximizing benefits while mitigating risks.”
Also, adopting AI is not the end of the story. AI must be continuously maintained and monitored to prevent it from causing damage to a telecom business. Read more about this issue in our article “From model drift to bias: 5 hidden AI risks every Telecom provider needs to address now.”
We have also written about regulatory frameworks that govern the development, implementation, and use of AI. The EU AI Act is the first law of its kind in the world, requiring transparency in AI systems.
Considering the risks AI brings and the regulations that demand transparency, AI adoption is becoming an increasing challenge. Mistakes can seriously threaten any company that adopts AI, including telecom businesses.
That’s why we created this white paper to guide you through the general principles of safe AI adoption in telecom companies. AI is a powerful technology that speeds up processes and improves operational efficiency, but it also brings risks. So, be smart—read the white paper, prepare in time, and avoid mistakes that could harm your telecom business.
Please fill out the form below and we will share the white paper with you 👇
