Here's how you can navigate the future of Mobile Communications careers with artificial intelligence.

Navigating the future of mobile communications careers with artificial intelligence (AI) involves understanding the interplay between AI technologies and mobile communications, developing relevant skills, and strategically positioning yourself to leverage AI advancements. First you must understand fundamental AI concepts such as machine learning, neural networks, natural language processing, and computer vision.Explore how AI is applied in mobile communications, including network optimization, predictive maintenance, customer service chatbots, personalized marketing, and enhanced security. Finally ,Acquire technical skills in AI-related fields. This includes programming languages like Python, data analysis & familiarity with AI frameworks.

Connectivity is at the core and crux of AI so continuity of connectivity strategies and plans need to be in place with redundancy and failovers being seamless and reliable

AI can provide unbiased observations with access to all relevant information, but this can be manipulated to create desired outcomes, which is dangerous. Trusting AI requires verifying sources and ensuring data accuracy. My goal is mutual respect, leading to no wars or conflicts and more collaboration. Respecting others’ perspectives, without necessarily following them, is crucial. Everyone is entitled to their own thoughts, which makes us unique. AI can help us understand different perspectives. Our perception is influenced by our beliefs, culture, parents, education, religion, friends, news, and propaganda. Whether AI is the future or a failure, only time will tell. Until then, love and respect will improve the world.

Stay ahead of the AI-in-Telecoms curve! Today, everyone talks about Reinforcement Learning and of course Generative AI. The new kid on the block, however, are AI Agent frameworks as well as using GenAI to enable Semantic Communications - some form of data compression. Interestingly, Semantic Comms had been known from an information-theory PoV since the days of Shannon but somehow that body of work was forgotten, and resurfaced a few years ago.

The ability to use Big Data in AI to predict and forecast from data analyzed can exponentially leapfrog out technological advances and improve productivity and innovation

AI will continue disrupting out existing used technology for a long time to come which requires extreme flexibility and adaptability to newer system architectures and user interface . Systems needs to be modular and intelligent to adjust its processes and work flow. I believe the change will happens at the systems level before humans. The possibilities are endless and remember that most of our existing systems are input/output design and now it need more floating point to work the mathematics for the models whether on the cloud level or the fat client level. We see small language models coming round mobile , and we see Nvidia building super mega GPU boxes.