What’s intelligence and how intelligent an Artificial Intelligence Engineer must be?
Suravi Mahanta
Senior Consultant at EY GDS | Ex-Accenture | Microsoft Modern Data Platform Expert | Big Data Specialist | AI/ML Engineer | 4X Microsoft Certified | 3X Databricks Certified | Data Architecture
Intelligence has been defined in many ways, including: the capacity for logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, critical thinking, and problem solving. More generally, it can be described as the ability to perceive or infer information, and to retain it as knowledge to be applied towards adaptive behaviors within an environment or context.
Intelligence is most often studied in humans but has also been observed in both non-human animals and in plants. Intelligence in machines is called artificial intelligence, which is commonly implemented in computer system using programs and, sometimes, appropriate hardware.
Now that we understand intelligence. Let’s try to understand how intelligent a AI engineer must be. Working with artificial intelligence requires an analytical thought process and the ability to solve problems with cost-effective and optimized way. It also requires foresight about technological innovations that translate to state-of-the-art programs that allow businesses to remain competitive. Additionally, AI specialists need technical skills to design, maintain and repair technology and software programs. Finally, AI professionals must learn how to translate highly technical information in ways that others can understand.
For more information you can refer these links https://www.computersciencedegreehub.com/faq/skills-job-artificial-intelligence/
https://www.findcareerinfo.com/artificial-intelligence-career-path/
https://www.datarobot.com/wiki/ai-engineer/
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