Careers In Artificial Intelligence

The World Economic Forum has forecast automation will displace 75 million jobs, but will generate 133 million new jobs worldwide by 2022/3. With the growing AI technology adoption across many industries there is now a growing need for trained professionals. 
 
Rather than replacing jobs, more informed predcitions now suggets that Artificial Intelligence (AI) will create many more news one. and that in reality, AI as a job. 
 
Moreover, AI offers many unique and viable career opportunities. AI is used in almost every industry, from entertainment to transportation, yet we have a massive need for qualified, skilled professionals.
 
AI and Machine Learning (ML) 
 
AI is how we make intelligent machines. It’s software that learns similar to how humans learn, mimicking human learning so it can take over some of our jobs for us and do other jobs better and faster than we humans ever could. 
 
ML is a subset of AI, so sometimes when we’re describing AI, we’re describing machine learning, which is the process by which AI learns. With ML, algorithms use a set of training data to enable computers to learn to do something they are not programmed to do. ML provides us with technology to augment our human capabilities.
 
AI has widespread benefits. Both people and companies benefit from AI. Consumers use AI daily to find their destinations using navigation and ride-sharing apps, as smart home devices or personal assistants, or for streaming services. 
Businesses can use AI to assess risk and define the opportunity, cut costs, and boost research and innovation.
 
Three Stages of AI 
 
AI is rapidly evolving, which is one reason why a career in AI offers so much potential. As technology evolves, learning improves. Here are 3 stages of AI and machine learning development as follow: 
  • Stage one is Machine Learning - ML consists of intelligent systems using algorithms to learn from experience.
  • Stage two is Machine Intelligence - Which is where our current AI technology resides now. In this stage, machines learn from experience based on false algorithms. It is a more evolved form of machine learning, with improved cognitive abilities.
  • Stage three is Machine Consciousness - This is when systems can do self-learning from experience without any external data. Siri is an example of machine consciousness.
Analysis of what AI means for your industry and your business
 
The starting point for strategic evaluation is a scan of the technological developments and competitive pressures coming up within your sector, how quickly they will arrive, and how you will respond. You should analysis the issues that AI techniques might deal with, what disruptive opportunities are opened up by current AI, and then what is coming in the future.
 
PWC:       SimpliLearn:      Oxford Said Business School:         Forbes:    

 

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