Everyone Agrees: Learn AI Now
Learning AI is not an easy task, especially if you’re not a programmer
Learning AI is not an easy task, especially if you’re not a programmer, but it’s imperative to learn at least some AI. It can be done by all. Courses range from basic understanding to full-blown master’s degrees in it. And all agree it can’t be avoided.
For example, Shival Gupta, a full-stack programmer, realized in 2017 he’d be out of a job without embracing AI and learning it. “The relevance of a full stack developer will not be enough in the changing scenario of things. In the next two years, full-stack will not be full-stack without AI skills.” He credits Spiros Margaris, who he calls a “renowned venture capitalist and a thought leader in AI and Fintech,” and explains, “If startups and companies rely only on cutting-edge AI and machine learning algorithms to compete — it will be not enough. AI will be not a competitive advantage but a requirement. Do you hear anyone saying they use electricity as a competitive edge?” in the same article. Obviously, with such urging, he quickly started to learn AI.
Similarly, Risto Siilasmaa of Nokia talks about why he wanted to learn AI in “Why You Should Study AI and Machine Learning and How I Did It.” Where, he explains that key takeaways from knowing AI help CEOs and other C-level executives be competitive and at the top of their games, while keeping their companies top-notch, the organization running well internally, retain customers and more.
Even business executives agree that once you learn AI, your business will run smoother and less expensively. For instance, humans have problems processing large amounts of data quickly, but machines can do so rapidly and expertly. Thus, says Dr. Danko Nikolic, Ph.D., the University of Oklahoma in Data Science and BD&A of the Computer Sciences Corporation, “Predictions require many variables, complicated nonlinear relationships between them and in some cases are highly stochastic. So it is often only algorithms that can learn those relationships. Humans alone would have a hard time.” Of course, most businesses need people to watch over the AI applications as they run, which is why you need to learn AI – so you understand what’s happening with the processes and can ensure the machines are working as they should be. Again, no love lost.