Artificial Intelligence
E-Learning

Artificial Intelligence – Future of Automation Tech

Previous years had largely been cruel, be it in the terms of incrementing jobless surroundings or steep breakdown of economical conditions of many under-development or developed nations. However, the past era had been superbly successful in terms of technology and automation. Previous years have shown notable changes in the algorithms of Artificial Intelligence and significantly aiming to change the future of Automation.

Machine Learning, the basic pillar of Artificial intelligence with Automation being developing and updating itself with time to bring the best of it in the upcoming years.

Artificial Intelligence – An Overview

AI, the development for the expected better tomorrow. In short, it resembles the technology upon Automation and Machine learning. In the previous years, we have witnessed some of the fabulous results on the same technology. Either be it upon improving smartphone automation like capturing most used applications or detecting image subject and background working closely with the smartphone lens and processors.

Automation and Machine Learning is considered as the main pillars of the concerned topic i.e. Artificial Intelligence. Machine Learning on the one hand records and learns the user behavior and saves in its storage and Automation is the automatic response to any triggered action by a user from the learned data in the system.

Types of Artificial Intelligence

Being a whole broader branch of Technology, AI can show various types depending on the current scenarios. However, we just discuss mainly four of them to justify our statement.

Reactive Machine

We might be familiar with IBM’s Chess-Playing Supercomputer or Deep Blue Machine, among the very few first machines running early generations of Artificial Intelligence. The machine was so basic that it was just able to detect the corresponding move and react accordingly.

In Fact, these were the most basic of AI and were mostly reactive and used previously fed experiences and knowledge for taking decisions.

Limited Memory

The Type II of Artificial Intelligence where machines can learn from their current experiences and ongoing. Various tasks trigger the use of data saved before. Here the machines have the capability of learning as we use them in today’s Self-driving Cars and Robots.

Theory of Mind & Self-Awareness

This is the final stage which separates a prototype and ideal Artificially Intelligent machines. The Type III and ultimate goal of AI future where a machine can use its algorithms to detect feelings. AI machines under this category can socially interact and understand what actions to commit and what not.

Self-Awareness will provide machine with Conscious behaviour. The same will lead machines as per our expectations and live a life like other creatures.

Branches of Artificial Intelligence

However, Artificial Intelligence is a slightly broad topic and has various branches of it. However, we have listed some of the most important and filtered according to relevance. Kindly Contact Us if any information given here is conflictual or needs an update.

Machine Learning

Machine learning is how computers recognize patterns and make decisions without being explicitly programmed. What’s so exciting is that it’s a completely different way to program a computer than we’ve ever done before. With machine learning instead of programming a computer step-by-step you can program a computer to learn just like you learn through trial and error, and lots of practice.

Learning comes from experience and that true for machine learning too. In this case, experience means lots and lots of data. Machine learning can take in any kind of data images, video, audio, or text, and begin to recognize a pattern in that data.

Once it learns to recognize pattern in the data it can also learn to make predictions based on those pattern.

Automation

Since the machine had fed the learned data in the systems. The data is utilized to perform various automated tasks with the respective user selection. It is the most commonly observed function of Artificial Intelligence, which is according to scientists is in its very earlier and prior phases and needs a ton of increments and development.

Automation is generally adopted in robotics technology where a machine is fed with a bunch of data. The concerned data is fired after an options section.

Neural Network

A Neural Network is a man-made algorithm program to mimic the human brain. The algorithm is a program that detects the underlying relationship between a given set of data provided by a data manager or analysts.

In Biology, Neural Network is the word assigned to the system of successful passage of electrical impulses through axon, dendrons etc. However, in technical aspect, it is used to generate automated mimic of human brain.

Big Data

Big Data is a collection of data that is huge in volume and growing exponentially with time. This data is so large and complex that none of the data management tools can store or process it properly.

Example of big data;

  • The NYSE(New York Stock Exchange) can generate about 1TB (terabyte) data of new trades each day.
  • Social media like Facebook store data about 500+ terabytes of photos, videos, audios, and text messages on a single day.
  • A single jet engine can generate 10+ terabytes of data in 30 minutes.

Cognitive Computing

Cognitive thinking, in general, is the stimulation to any device or accessories running on Artificial Intelligence. We all are often familiar with IBM’s Cognitive Computer i.e. Watsan is the source of the word Cognitive Computing.

Cognitive Computing is as per expectations started conquering its market and business in the fields for retrieving an enhanced statistical data.

Applications of AI

AI or Artificial intelligence in short sound a huge branch as it is. It paves the way to various scientific researches and creations.

Healthcare

Artificial intelligence has a large number of applications in Healthcare. It has a wide scope in Healthcare. Scientists can now easily and very accurately analyzed the data of Medical Science within few hours. Artificial Intelligence can change how we look at the medical world today.
Artificial intelligence can take care of Wellness, diagnosis, and even operational Technologies. Incoming future AI will be the front line commander of clinics. It will definitely become more productive and effective to the patient and doctors both.

Artificial Intelligence can help in various such as Robot-assisted surgery process or Virtual assistant for nursing or may it be Artificial assistant for administration and workflow or Automated diagnosis.

AI in e-Commerce & Manufacture

One of the most affected sectors due to artificial intelligence will be the E-Commerce sector since most of the manpower is expected to be replaced by automated robots. Nearly everything will become automated. Almost every manufacturing unit will have an artificial best system which will himself able to manage and produce the required product well nourished. It will be also helpful for Businessman since it will produce a more precise product and the defective product will be very less.

Robotic manufacturing units can work day and night all season all day during every condition. this will allow businessmen all over the world to make a huge profit because if everything will be automated then the rate of the cost of production will gradually decrease and it will be at the best price.

There are a lot of cons that will generate if everything becomes automated. First and foremost the rate of implement will increase rapidly. There will be numerous employees who will be fired out or they may not even assist for jobs in any company. Unemployment will be at its peak and there will be a race or you may call to fight between human and machine.

AI in Self-Driving Car

Now it isn’t surprising anymore that how can AI replace the driver from a car because Tesla had already launched it. Tesla Motors has been a pioneer in the automation of cars. They have also aimed to replace the fuel engine with an electric engine completely by 2050. Elon Musk’s Tesla has recently launched three variants of Tesla electric cars.

Right now it is not possible to have fully automated cars like Tesla because it requires a high-speed data connect strong 5G or 6G for running its operations. If the internet even lags for a second it would cause an accident. So there should be very high speed and very much stable as well as strong internet.

According to a survey by the year, 2030 more than 20% of total cars in the world will be automated.

AI has been blending new improvement by making new calculation which mimic or support human conduct or basic leadership ability, based on the input from some algorithms.

Apple cover Amazon connect etc are a few leading AI technologies that are currently prevalent in the existing it market. Google assistant is also slowly gaining a good ground in the market.

Some interesting about AI are:-

  • 67% of the IT companies are using AI technology in one way or the other.
  • There has been a 14 times increase in the number of AI start within the past 10 years.
  • There has been a 6-time increase in the investment done by the companies in AI.
  • The jobs requiring AI skills have increased 4.5 times in the past four years.
  • 27 % of the USA skills market demand skills.
  • 76% of the companies using AI have reported being happy and satisfied with it.
  • 22% compound annual growth(CAGR).

Use of AI in Marketing a Business

AI can use for marketing a business it may sound dramatic, great but nearly every million-dollar company uses this. Companies like Netflix, Amazon, Google, etc. Uses AI to understand the algorithm of the user. They use it for the behavior analysis of the user and to make the user more and more comfortable i.e to show suggested products of their likes.

Challenges for AI

Despite the fact, Artificial Intelligence had been something called Artificially made object or Man-made object. To date, AI has shown minimal backlogs that may be dangerous or harmful for human mankind and the race on the planet. Below are some of the most relevant predicted challenges for the development of AI.

Building Trust

Being a man-made product, Artificial Intelligence from the past had struggled to build trust among the mass.

Software Malfunction

Executing a high-end complex algorithm needs some great plus functions as well as some great and hidden loopholes. For proper functioning of the same program, One must properly check the best software program available yet. If not, a software malfunction can even lead to the demise of a ton of people.

Limited Functionality

The functions or tasks executed by an AI machine needs to be programmed in the past. Every task like walking, responding in the case of robots are fed in advance that is later triggered at a set interval. Hence, here leads to limited functionality and execution.

Pros and Cons for AI

ProsCons
Decisions taken by the machines are generally based on programmed algorithms or past history and subsequently reduces the margin of error.The cost of implementation is comparatively high.
Can make the right decisions within a short span.Dependency upon machine is ever increasing.
The safety of humans is unsure.Ultra-efficient 24*7 AI machines will soon replace humans at the production site.
The capability of working Every day and hour tirelessly.Lack creative thinking.

Statistical Analysis

AI has been blending new improvement by making new calculation which mimic or support human conduct or basic leadership ability, based on the input from some algorithms.

Apple cover Amazon connect etc are a few leading AI technologies that are currently prevalent in the existing it market. Google assistant is also slowly gaining a good ground in the market.

  • 67% of the IT companies are using AI technology in one way or the other.
  • There has been a 14 times increase in the number of AI start within the past 10 years.
  • There has been a 6-time increase in the investment done by the companies in AI.
  • The jobs requiring AI skills have increased 4.5 times in the past four years.
  • 27 % of the USA skills market demand skills.
  • 76% of the companies using AI have reported being happy and satisfied with it.
  • 22% compound annual growth (CAGR).

Future Scope

Artificial Intelligence is the technology used to make machines work being real human beings.

Benefits of Artificial Intelligence:-

  • Reduce the error.
  • Increase the chance of achieving accuracy.
  • Get the maximum level of precision.
  • Increase automation.
  • Absolves humans from responsibility.

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