Automation is taking over the world. However absurd it may seem, it is still a reality. Automation, powered by artificially intelligent entities and machine learning tools is eradicating human errors from day-to-day processes. And promising us a future more efficient than ever before. All aspects of life including the very essential ones like logistics and food are leaning towards a more automated and efficient future. Our day-to-day processes are infested with tasks that are mundane and exhausting. These very error-prone and underproductive tasks are error-prone and errors in these tasks alone pose a huge threat to convenience.
The implementation of AI and ML-based automation tools is usually not a smooth and hassle-free endeavour to undertake. Unemployment is a worldwide problem and the suffering is nowhere near the end. After the pandemic, the demand for efficiency and unemployment both increased. And deployment of automation for resolving the efficiency problem will inevitably lead to more unemployment. However, while the world hangs in balance between unemployment and more efficiency, AI is being deployed successfully to a plethora of sectors. And this article will try to concentrate on the most ethically sound implementations of AI.
Moley : The AI kitchen
Moley is an automated kitchen that can cook any food with a few taps on a smartphone or connected device. Moley can be loaded with ingredients that are to be used for the preparation of high-quality food and recipes designed and perfected by cooks and chefs from all around the world. Seems like a perfect tool for affordable fooding. Actually no, money is expensive and only a few prototypes are deployed around the globe, that too with limited capabilities. However, the inception and emergence of money are expected to usher in an age of automated cooking, when time is not wasted dealing with cleaning and chopping veggies.
Self-driving cars
Self-driving cars allow a passenger a lot of free time that can be utilized for maximum productivity. Today’s self-driving cars can learn through an unsupervised paradigm from human inputs and eradicate unwanted errors from the process. When fully trained, a self-driving car can take a passenger anywhere with access to roads by coupling with cutting-edge navigation systems. A self-driving car is automated and thus can be expected to be able to avoid human errors that rob human beings of their precious lives.
Data analytics in commerce
In commerce, copious amounts of data are being used every day for charting out a safer path toward the future. In different sectors of commerce, data utilization takes a different approach. In marketing, gargantuan amounts of purchase, financial, and investment data are being used for precisely pinpointing the target customer base. People in need of a certain product are willing to invest in the same. And in the product, first-person user data is being heavily used for development and[gradation. And the data volumes we are discussing often can not be handled by human beings alone. Thus applications of artificial intelligence in commerce and data analytics, in general, are gaining popularity with each passing day.
Traffic management
Today’s cities and traffic-rich regions are experiencing a golden age. Applications of artificial intelligence in this sector are the most prominent, and usually in a greater degree of touch with humanity on the streets and roads. Cutting-edge sensors and high throughput cameras are being used for monitoring and identification. And an Ai entity is usually placed at the helm of all that activity. Thanks to the emergence of computer vision and paradigms like natural language processing it is remarkably easy to spot and prosecute rogue vehicles and drivers without much hassle and expense in front of human resources.
Cyber security This is the era of remote employment. And the remote servers that are independently hosted but well connected to the company servers are a prime target for cyber crimes. A cybercrime starts with a simple breach. And such a breach can be mitigated with ease if spotted on time. However, achieving this speed is not humanly possible.
And delay is detrimental in most cases. Thus applications of artificial intelligence in cyber security are changing the scenario and helping businesses to protect their data, interest, and operation. An AI can spot and prevent a breach quickly before the attacker manages to grab or destroy anything of significance.