3 Myths About Artificial Intelligence (AI) You Must Stop Believing

One of the few technologies today that blends science and technology and has become a big buzz word right now is artificial intelligence (AI). The world’s some of the brightest minds, including Facebook CEO Mark Zuckerberg, have stated that AI holds vast potential to transform all aspects of our lives.
3 years back, while announcing Cortana for Windows Phone, Joe Belfiore, the corporate vice president and manager for Windows Phone quoted that the “future of artificial intelligence will amplify and catalyze workflows”. This is almost happening in every area of the business world today. He had further added “we are just testing the surface of how AI can be used."
A host of intelligent agents like Alexa, Cortana and Siri have already proved that they have capability to mimic real humans. So there is a big rush towards developing an application like them. So mobile app development companies in India and artificial intelligence services companies are getting more works than they ever had.
Business leaders say the actual capability of today’s artificial intelligence lies in improving efficiency and accuracy in our routine work. They say AI is to help humans do things better. They get these thoughts probably by seeing the upside of the technology.
On the other hand, as with anything innovative, there are some snake-oil salesmen looking to take situational advantages in order to make some quick bucks, by spreading fear. Though their intention might have been different, physicist Stephen Hawking and tech entrepreneur Elon Musk holds the same thoughts on AI.
Here I am not taking on their right to express thoughts about this futuristic technology, but we have to agree that their thoughts are causing many basic misconceptions and mistruths. However, before going to the core matter, let’s have a look into what is exactly AI:

What is Artificial Intelligence?
Artificial intelligence is a technology that enables machines or software applications to behave intelligently like human, whereas machine learning is a field of computer science and subfield of artificial intelligence, used to teach machines to behave like humans. The way of training often involves supervised and unsupervised training; supervised training involves training with tagged data, while unsupervised training does mean machines train themselves from the past experiences.
Machine learning works by finding patterns in data. Another cutting-edge technology in AI area is deep learning, which is a subset of machine learning and works on the principles of neural networks of the brain.
Also, read: Impact of Artificial Intelligence and Machine Learning

Let’s see now what misconceptions you shouldn’t get into the heart about AI:

AI is going to replace all jobs
It’s acceptable that AI and automation together is causing job loss. Similarly, there is no doubt that industrial revolution has positive effects on skilled workers. Some employers who are embracing AI are ready to hone the skills of low-skilled employees too to make them automation ready.

AI and automation will replace only low-skilled and manual workers
This is not true. Already AI-powered robots and machineries are getting done the tasks that could be done only by highly trained professionals like doctors. In healthcare, machine learning algorithms look into images such as x-rays and scans and find out early warning signs of disease if any that are challenging for doctors to get done.
AI-powered machines can look into patients’ routines, technically complex procedures, and procedures that require human touch in the hospital environment.

AI will quickly outperform human intelligence
In fact, this is already prevalent. Just think about calculator on your mobile and your ability to calculate manually. For example, if you need to calculate 2567×3568, you may take nearly a minute, but the calculator? That already far outpaces us. But in creative thinking, emotional intelligence and strategic thinking, machines still have to go a long way. Natural language processing and natural language understanding are correlated technologies, which are being heavily used by AI companies to add emotional intelligence to AI machines.

Conclusion:
AI has already been a mainstream service in the business world. AI-powered contextually aware keyboards which could be used for recommending purchases and many more, and chatbots are gaining momentum in their development and use. In fact many top 10 mobile app development companies Bangalore out there have widened their service portfolio leveraging trends. In case if you’re looking to develop a mobile app being an entrepreneur, it is the time you can think about and act immediately. Make sure you collaborate with a right AI service provider who positively impact the bottom line of your AI aspiration.