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How to Start a Career in Artificial Intelligence - ITChronicles

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As Frank Newport, senior scientist at Gallup, expressed it: "Whether they know it or not, AI has moved into a big percentage of Americans' lives in one way or another already." Newport made the comment in light of the results of a 2018 Gallup consumer survey. It found almost nine of ten (85%) US adults use at least one service regularly that features some element of artificial intelligence. Almost half (47%) said they used smartphone personal assistants while 32% use ride-sharing apps, such as Uber and Lyft. Twenty-two percent have home personal assistants, such as Alexa and Google Home, and 20% use smart home devices, such as smart lights or smart thermostats.


How to Build a Career in Artificial Intelligence and Machine Learning?

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"Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold." Machine learning (ML) and artificial intelligence (AI) are ruling the digital world today. These technologies have the ability to completely transform the way a business operates. With the increasing adoption and business applications of AI and ML, many IT professionals are choosing AI and ML as their career.


How Can You Build a Career in Data Science & Machine Learning?

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Machine Learning is the crux of Artificial Intelligence. With increasing developments in AI, IoT and other smart technologies, machine learning jobs are gaining higher exposure and demand in the technology market. If you are currently an IT professional, you might be interested in a career switch because of the exciting opportunities the industry offers to its aspirants. Or, you might have an interest that you have wanted to pursue long. However, not knowing exactly how to start a career in machine learning can lead an aspirant in the wrong way. There should be a proper agenda on how to identify the right opportunity and approach it in a systematic way. In this article, let us see some of the essential steps that one can take towards their machine learning journey.


Data scientist or machine learning engineer? Which is a better career option? - KDnuggets

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In the 21st century, the world revolves around data, hundreds and thousands of data. So, it becomes quite natural for that data to be processed and to serve this purpose, powerful devices have become a necessity. Now, these machines should be automated or these systems should be designed in such a way that these devices should automatically be successful in processing these data. So, in order to build these systems, we require professionals like Machine learning engineers and Data scientists. Now, this is where the importance of data science and machine learning lies.


Artificial Intelligence: A Complete Career Roadmap [2020] - Simpliv Blog

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Artificial Intelligence is considered as the next new trend that is revolutionizing the modern world. It is making headlines on a daily basis in technology space with its recent innovations across different industries. This technology has become a driving force behind some of the renowned innovations such as speech recognition, chatbots, etc. So, this is the right time for people who are thinking of making a career into this wonderful technology. Artificial Intelligence is a computer system that has the ability to perform a task that basically requires human intelligence.