If you are fascinated with AI and how it has been changing our lives and wish to build your career in this field, yes you can.
Let's break a misconception for you, artificial intelligence isn't just about coding and building machine learning models. There is so much more to it.
Let's put out a few areas where you can find your right fit:
As much as it is important to build AI solutions, it is equally important to build a brand value around these technologies. Companies need people with expertise in marketing who can understand their product/services and help them create market value.
The value of AI products is realized when they are put to use in real-world use cases, and that's where companies need people with expertise in sales who could connect with the right business opportunities and make the deal happen. People in sales need to match the business requirement with the right product/services to help the company drive its revenue.
The products being built with AI technology ultimately needs to be used by humans, and that's when it is important to know whose hands it reaches and how it is being perceived. When these technologies are built, it is important to see that it caters to everyone, people from all gender, caste, race or even people with disabilities. AI is for all and that's where we need people with expertise in human behavior to help build these solutions which can cater to everyone.
The most amazing AI tech is built on top of state-of-the-art models which come out of years of research. NLP models like BERT or image models like DALL-E are the results of years of effort from the people who have been researching to build optimized models. Organizations have research departments where they hire researchers to focus on building the most foundational build blocks of the AI products.
AI Consulting/ Program Manager
Companies that are in the B2B model for building AI products and services need people with expertise in client engagements, consulting, managerial abilities, and communication skills to work with top-clients on a daily basis. They work with the clients to understand their business challenges, build an AI use-case, layout a project roadmap, and connect with the Data Scientists to build these solutions and communicate the business value.
Some of the other expertise which is required in the AI field is for application developers, mechanical engineers, electronics engineers, data visualization experts, data engineers, optimization researchers, and statisticians.
If you have a specialization that is relevant for any organization building AI solutions, you definitely can have your career in the AI space.
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