Hello, I’m Erfan Saidi. I studied computer engineering with an AI focus. While I was studying, I worked as a business intelligence developer in a fintech company where I could apply what I learned from university to real-world business challenges. And this program is exactly what I did during my bachelor’s degree. The most interesting part of this program is how AI will change the businesses in the future. And the most challenging part I think would be employee replacement as it leads to lack of job opportunities in the future. The most rewarding part would be higher performance for businesses and industries. AI can perform many tasks much faster than human and even much more accurate. About industrial challenge, I think there is a gap between what AI can really do and what AI is currently doing in businesses. And in this course, we will learn how AI works and what businesses exactly doing. So we can build customized AI for a a business purpose. And these dramatically improve their performance on that specific purpose.
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Hello, I'm Erfan Saidi. I studied computer engineering with an AI focus. While I was studying, I worked as a business intelligence developer in a fintech company where I could apply what I learned at university to real-world business challenges. This program is exactly what I did during my bachelor's degree. The most interesting part of this program is how AI will change businesses in the future. The most challenging part, I think, would be employee replacement, as it leads to a lack of job opportunities in the future. The most rewarding part would be higher performance for businesses and industries. AI can perform many tasks much faster than humans and even more accurately. Regarding industrial challenges, I think there is a gap between what AI can really do and what AI is currently doing in businesses. In this course, we will learn how AI works and what businesses are exactly doing. This way, we can build customized AI for a business purpose, which will dramatically improve their performance in that specific area.
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Speaking Time: 69 seconds