Fire was discovered and controlled by humans many millennia ago. The importance of inventing the wheel changed the course of human locomotion and automation for ever some centuries ago. Then, there came the augmentation of electricity that is even today running ahead with machines that provide the comfort of lesser human strain. All these inventions and discoveries had a common thread binding them all together in the evolution of mankind. It’s how they all led to one invention after another and today, we have certainly reached the pinnacle of mankind jubilation where we can aim for the stars and land on the Moon in the very first attempt.
AI Courses can be learned by all to prepare for the future.
If 2017 and 2018 had anything to reveal, it was the incremental rise of Artificial and Augmented Intelligence (both, referred to as AI in the modern context of science). In 2019 and the years to come after this, we will see how these two AIs would twist and turn various domains, industries, and ecosystems impacting the human race.
What is AI in the Modern Context?
AI in Artificial Intelligence domain is referred to the symbolic application of programming and computing powers to deliver output using machines. They are replacements to human efforts and have little or no power to move beyond the scope of their primary programming and commanding scripts.
AI in Augmented Intelligence is a step ahead of the currently endemic world of Artificial Intelligence. While they intersect at more than one touch points, the truly definitive relationship in Augmented Intelligence and its applications is the replacement of human programmers with the machines. That means, when machines start programming instructions and commands to make other machines and devices learn, we see the first line of action in Augmented Intelligence.
In the immediate future, I am predicting a greater role for AI courses in driving inventions and programming models for Augmented Intelligence, or for simplicity sake, IA, Intelligence Augmentation.
Key Developments in IA Domain that AI Courses will push to the Next Level
#1 Experience Economy
In the modern Marketing, Sales and Customer Service industries, each business is driven by the promise to deliver relevant, hyper-personalized, real time Customer Experience. AI-driven customer experience economy is already at the core of major industries such as chatbot development, mobile applications, video and live streaming, virtual assistants, and sales enablement.
#2 Training and Learning
In all the major HR companies, we are seeing the increasing rise in application of chatbots, AI screens and machine learning tools to impart training and development to staffs, employees and managers.
#3 Industrial IoT
Industrial IoT is intertwining with the current trends in machine learning and AI-driven Connectivity for internet devices. AI Courses are primarily focused on the current trends in Industrial Era 4.0 where we see a definite convergence of Big Data, Analytics, Deep Learning, AI and Machine Learning with the Internet of Things.
Industrial IoT is taking small but significant steps toward replacing human components in the workflow with that of machine-driven sciences.
# AI Ethics and Fairness
The unbiased application of AI and ML could put many users in a spot. Today, our communities are not just separated by gender or the lack of it, but also by races, creeds, and laws of the land. Every government may not allow the use of AI for one or more applications, especially if some section of the people uses it to create violence against those that don’t have access to AI or counter-AI technologies.
Hard to understand! It truly is, as we are still reeling under the predictions of an aftermath of Biological wars, Atomic War or a mere Economical sanctions that countries like the US, UK and others imposed to Iran, Iran, Afghanistan and North Korea.
IA can solve these disparities and make AI fairness a universal guidelines to deal with.
When will we Reach the ‘Era of AI beyond Hype’?
If the trends are to be believed supported by countless reports and research activities, we will see the full fledged availability of AI science by 2030. Anytime sooner than this, and we actually risk misusing it or losing its sheen to AI hype that had been gripping the job markets since 2012.
AI in Augmented Intelligence is what we are most interested in, and we are extremely confident about the disparities between the two AIs.
Now, it’s time to look inward and allow machines to take charge and let humans live in peace. Is it possible? Yes, going by the trends of how AI is uncoiling and twining with other technologies, I can certainly suggest that the future of mankind is very much gripped inside the fists of AI, Automation, Machine Learning, Robotics, and Space Technologies.
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