What is Artificial Intelligence?
Artificial Intelligence is defined as the ability of the program to process and learn from the experience. Parallel Human intelligence when processed by machines this process is called Artificial Intelligence. Artificial Intelligence replicates human efficiency and intelligence. AI applications are playing an amazing role in almost all business sectors. By simplifying the technical process and coming up with better innovative business solutions. AI applications make our lives simple with accurate performance. Here is a practical example of how the application of AI has influenced our lives positively.
AI has proved so beneficial in the banking sector. As banks are now adopting artificial intelligence to facilitate customers by simplifying transaction processes. All important tasks like money deposits, transferring money, and even opening accounts from any end, adopting AI for security, apply privacy controls are now program oriented. The intelligent algorithms smoothly operate all defined tasks profoundly.
The system also generates alarming notifications in case of any unusual banking activity is observed in the system. In this article, you will know all about Artificial Intelligence and its applications that practically we apply and get real technical experience.What is the History of Artificial Intelligence?
AI has evolved progressively with time; here is a brief on how it all began.
1956 - John McCarthy introduced the term ‘artificial intelligence and the first AI conference was arranged.
1968 -Shaky a mobile robot was built. It was designed to do things with a purpose like planning, navigation, and rearranging or performing simple tasks.
1997 - The supercomputer ‘Deep Blue’ was designed, and it defeated the world champion a Russian chess player in a match.
2002 - The first successful robotic vacuum cleaner was introduced.
2005 - 2019 - Robotic process automation (RPA), smart homes, smart cars, voice recognition devices, and other innovations make their debut.
2020 - AI algorithm for medical and scientific medical teams developing a vaccine during the early stages of the SARS-CoV-2 pandemic was released by Baidu.
How does Artificial Intelligence Work?
AI-assisted devices allow you to perform various tasks continuously without any breaks. The tasks are smoothly performed and delivered outstanding performance quality. These automated tasks are not just possible by any single software or application but by an entire range of disciplines or scientific techniques.
To pull up this objective AI has to indulge in wide arrays of technical procedures with different technological series and algorithm implementation. Following are the components that AI technology uses in the following technological fields:
Machine Learning:
It’s an application of AI which allows the system to automatically learn and develop effective results without being programmed. A definite pattern is observed by machine learning where data is analyzed and better insights are offered. The system thus generates accurate results for any task assigned to it.
Machine learning algorithms use experienced data as input and provide predictive analysis to offer better business solutions with accurate values.
Deep Learning: It is a subset of machine learning. Which drives many Artificial Intelligence applications that automate, and deliver analytical and physical tasks without human involvement? Deep learning technology is observed in our day-to-day lifestyle when we use digital devices like voice-enabled music systems, digital assistants, etc
Computer Vision:
AI can recognize and interpret the content of a picture or pattern. AI systems identify the various components of visual data which takes inputs from the user by asking questions to help them identify various images like cars, signals, mountains, etc. Meaningful information is derived by the system after gauging inputs from the visual content.
What are the Applications of AI?
Artificial Intelligence is composed to explore the next wave of the digital innovative explosion, and companies should prepare for it now. Many firms have already adopted and assembled AI technology with time to accelerate their digital transformations.
AI is widely used today in probably all sectors. It is playing an essential part in our daily lives. Making our tasks easy and offering better and more productive performances.
Following are the sectors where AI has been successfully implemented over the years and has delivered spectacular results with innovative solutions.
AI application in Healthcare:
The combination of AI with medical intelligence and the history of data together brings up innovative medical solutions that introduce new drugs to cure chronicle diseases more effectively.
AI applications offer amazing technology in the medical field that helps detect and cure complicated diseases. The health solutions are provided in much less time and save lives.
AI application in Education:
The education sector is a more of human interaction and involvement sector. It is gradually changing in terms of adopting new technologies in the admin as well as content sections, which makes it flexible and more understandable for the students and education department. Artificial Intelligence has positively changed the performance of both faculty and students by implementing advanced technologies in the system. Artificial Intelligence can prove very beneficial for educators to perform tasks like automated messages to students, notifications, guardian interaction, feedback, course management, and HR assistance. All these tasks that are now automated make it easy for educators and students to be updated and get accurate educational data instantly.
Faculties are now providing smart solutions and a better understanding of the subject is provided to the students. With the help of visual learning, video classes, and presentations. Learning content is made very easy and in-depth informative material is provided by digital assistants. The learning experience is made more effective by audio and video summaries by exposing a wide range of subject categories.
Learning material is made available through audio or video assistants. There is no need for a physical lecturer. Online lectures and classes with great video support make students' experiences much more effective.
AI technology provides personalized learning material like notes, study guides, reminders, class tests, queries, etc for the students and makes the learning process more of a personalized experience with in detail informative sessions.
AI application in Agriculture:
With the smart combination of robotics, computer vision, and machine learning applications, Artificial Intelligence detects the quality and capabilities of the soil in terms of nutrient consistency. AI bots help to understand the soil's capability to harvest crops in high volume and get quality results in less time.
AI application in Automobiles:
Self-driving cars are designed with Artificial Intelligence technology. AI has been providing smart inputs when it comes to vehicle camera detailing, radar, GPS navigation, signal control, safety controls, monitoring blind spots, road condition detection, and auto drive measures.
AI helps make driving tasks easy with safety measures and an easy digital assistant for a remarkable driving experience.
AI application in Finance:
AI is holding a huge stake in the finance sector. Various AI features are applied in the corporate, finance, and business sector to improvise a business performance. AI has evolved immensely with time and has provided smart business solutions by reducing task efforts and saving a lot of time. Smart features like automated bank notifications, statements, messages, updates, schemes, fraud alerts, transaction details, security, loan assistance, etc which were performed manually are all automated now and thus we save ample time and project better business results.
What are the Types of AI?
Artificial Intelligence is divided into two types. There are two types of categories with abilities and functionalities of AI.
AI type 1 based on ability
Narrow AI, General AI, and Strong AI
Narrow AI:
Narrow AI is a type of AI which intelligently performs tasks assigned to it. It is the handiest and most obtainable AI type in the artificial intelligence field.
It is trained to perform one task at a point so the performance capability is limited and defined. Therefore it is also known as weak AI.
The best example of Narrow AI is the voice assistant device Apple`s Siri which operates with limitations with few defined tasks.
General AI:
Any intellectual task is performed with the same precision as a human. A system that thinks like a human and comes up with innovative solutions comes under the general AI category. At present, there is no system designed under general AI that performs tasks as perfectly as humans do. Research is still on as to come up with such a precise AI machine, it should take some time.
Super AI:
Super AI is the level of AI that exceeds human intelligence and performs at the peak of intelligence. It can strongly perform human characteristics. The ability to think, come up with an idea, resolve the problem, get solutions, make plans, make judgments, predict the results, be open to suggestions and communicate on its own.
AI type 2 Based on the functionality.
Reactive Machines, Limited Memory, Theory of Mind, Self-Awareness
Reactive Machines:
Spam filters and the Netflix recommendation engine are everyday examples of Reactive Machines also Google’s Alpha Go and IBM Deep Blue systems are an example of reactive machines. The significance of reactive machines is simple they do not store memory or previous data for future use they perform just the current task based on observation.
Limited Memory:
These AI machines can store data for a limited time. Self-driving cars are one of the best examples of limited memory where the machine uses the sensors that store data for a limited time like road conditions, speed detection, navigation route, etc
Theory of Mind:
It should have the capability to read human emotions and understand the emotional aspects. This AI system is in the research process and has yet not been developed.
Self Awareness:
An AI that’s self-resistant when it comes to intelligence. The next-level intelligent system has far better capabilities than humans in the intellectual field. The machines with capabilities like self-thinking, self-awareness, and use of their consciousness. This machine is not yet developed.
What are the Career Options in AI?
A rapidly evolving industry with great growth opportunities. AI offers bright career options and a better future. There is a requirement for a real talent house; the vacancies are not filled easily as very fine talent is the need of the AI field.
Machine Learning Engineer
Machine learning engineering is a challenging career option, it is the perfect opportunity for data science or software engineering candidates. The job is relevant for those who are shining bright in mathematical skills, machine learning, deep learning, have great programming skills in python, java, etc
The pay scale is smart with spectacular prospects.
Data Scientist
The role of the data scientist is to collect the data and analyze it to define the best business insights. The application of many tools, algorithms, and processes is used to extract the data and define the insight. The basic qualification for this post is:
Advanced degree in computer science.
Knowledge of structured and unstructured data.
Good experience in cloud tools like Amazon S3
Skilled in programming languages like Python, SQL, Perl, etc
Business Intelligence Developer
The intelligent process of complex internal and external data to identify the current business trends is the job of a BI developer. The right place for BI developers is the finance companies where they monitor the stocks and produce data that evaluate the company's business profit.
The qualifications for BI developer should be:
Bachelor’s degree in computer science or engineering
Good knowledge in data mining, SQL, etc
Efficient in BI technologies like Tableau, Power BI, etc
Research Scientist
The expert in various streams like artificial intelligence, data science, machine learning, deep learning, mathematics, etc the multiple powerhouses of talent that have handsome experience in computer science with a doctorial degree. Such immense talent is eligible for a research scientist post. The main job is to question and come up with creative queries for the AI.
Extensive knowledge and experience in parallel computing, distributed computing, machine learning, and artificial intelligence are the perks.
Research scientists are an exclusive job with the smartest prospects.
Big Data Architect
Most companies look forward to experienced engineers having a great hand in computer science, Ph.D. in mathematics, Big data engineers should be skilled in C++, java, and python. Expert in data mining, and data visualization.
The big data scientist has more refined responsibilities than the data scientist. They have to precisely plan, define and develop big data environments on Spark systems.
What are the Advantages & Disadvantages of AI?
Artificial Intelligence is a program that has an inbuilt capacity to understand and perform the designed tasks that are usually performed by humans. It is possible in any way that the program is developed to make the machine work in just a similar way as humans do or even better.
Let us see the various advantages of AI.
No human error
The program to perform a certain task is developed and accurate steps are followed precisely by the set of algorithms. Which keeps no margin of errors and the desired output is delivered proficiently in much less time.
No Risk
Machines are developed to sustain unpleasant atmospheres. For instance, a robot is designed with a metallic body to explore the deepest core of the ocean or provide military assistance like diffusing the bombs or perform a spying activity like monitoring the enemy activity. All such activities when performed by machines leave us stress-free with no human casualties. There is no risk to human life.
Part of our lives most of our daily activities are now assisted by AI applications. It only has made our lives easy as we are using various voice assistant applications like Google, Siri, Alexa, auto-reply functions in this, weather predictions or notifications, navigation, etc
AI-based technologies have simplified our daily tasks as accurate results are delivered by the programs or applications that we use. AI also has disadvantages that we cannot deny; let us know more about it.
Expensive
Program an application that will give us desired output is not an easy task. It requires the latest hardware and software systems, up-to-date technology, ample time, and a huge team of engineers involved in defining the program.
All this is a time-consuming affair with huge money involved in it.
Unemployment
A robot can 24/7 perform the defined task with great accuracy. That leaves no option for human intervention. For example, if a robot is assigned to perform some mechanical task in a manufacturing unit. It will give perfect service as defined. This costs the chances of a human with no scope to get a job in that particular field. Thus reducing the job availability and increasing the unemployment ratio.
Conclusion
Every new invention has been proven beneficial and also has its risk factors. It is up to us how we make the best use of AI technology for the benefit of society and to make our lives better. AI technology has proved a great source of business growth; the development has only benefited the industry. This certainly sparks more scope for AI literacy programs. It is very essential to adapt and up skills for a prosperous career. Fingertips Data Science Pro, Business Intelligence, Advanced A.I, Data Science with R, and Data Science with Python programs will help you shape your career and explore new career opportunities. Fingertips also provide Hands-On Experience on Real-World Projects by Experts to make sure you have practical knowledge as well. Get started with the course today and have a dream career.
