The hype around AI is rapidly growing to transform the domain as one of the fastest evolving technology sectors. This infographic highlights several AI facts, every developer should know before changing their focus to machine learning, artificial intelligence, and—while we’re at it—deep learning and neural networks.
An ever-growing market
In 2018, Gartner predicted that 80% of emerging technologies would have AI foundations within three years. What’s more, the research firm Markets and Markets expects that the AI market will grow to a $190 billion industry by 2025. Beyond that, Accenture predicts that the impact of AI technologies on business will boost labor productivity by up to 40%.
New technologies demand new specializations
With all these amounts at stake, very few developers have the skills needed to spearhead serious new AI projects. Developers who can acquire these skills will be highly in demand.
Scarcity in any job market equates to higher salaries, and AI is no different. This translates to base salaries of between $300,000 and $500,000 a year.
Is AI replacing developers?
Developers already fear that AI will eventually replace their roles. According to Evans Data, when asked to identify the most problematic thing in their careers, the largest plurality of software developers cited this: “I and my development efforts are replaced by artificial intelligence.”
Still, Stack Overflow research showed that 70% of respondents feel more excited about AI’s possibilities instead of worrying about its potential dangers. And most developers are eagerly looking forward to the new possibilities automation brings to the table.
Just like the industrial revolution shifted humankind into developing new skills while leaving agricultural labor behind, so will intelligent robots. McKinsey predicts AI could replace 30% of the human workforce globally by 2030. According to AI technology statistics, robotics could replace about 800 million jobs, making about 30% of occupations extinct.
Before wondering whether AI will replace software developers, let’s look at some AI facts. The industries and use cases where AI can be deployed have surged in the past few years.
“Faceless Portraits Transcending Time” collection in New Yor is the first solo gallery exhibit devoted to an AI artist, Dr. Ahmed Elgammal, and his creation, the AICAM AI.
The music industry is also using ASCII to create new tunes, such as this song, with famous guitar tabs of mostly classical and rock music called Recurrence.
Medicine and research
AI is used in medical research to identify, prevent, and cure disorders and diseases. Medical applications are projected to create $150 billion in annual savings for the healthcare economy by 2026.
Moreover, Google’s Deep Learning machine learning program is accurate 89 percent of the time in detecting breast cancer than a human pathologist, who is just 73 percent accurate.
AI-based typing patterns matching algorithms can also verify users’ identity based solely on their typing behavior. In 2016, TypingDNA’s technology was launched to analyze how humans interact with keyboards to provide accurate authentication. The breakthrough discovery here relies on the fact that humans are all different and behave in a distinctive way. Try our demo here.
Here’s how you can start learning or teaching
Companies like Facebook and Google developed prepared educational programs designed to get anyone on board—no matter their level of expertise. Online courses that can shed more light on the basics of AI and deep learning are from Stanford, MIT, Columbia University, and Nvidia’s Deep Learning Institute.