Artificial Intelligence (A.I.)

what is artificial intelligence?

    When most people hear the term artificial intelligence, the first thing they usually think of is robots. That's because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. but the reality is much different than that. Artificial intelligence is the simulation of human intelligence processes through machines, mainly computer systems, Artificial intelligence is a wide-ranging branch of computer science

why we need AI?

    We are living in the age of rapid population growth leading to demand and supply chain. so the technology also need to keep up. AI has proved to be useful in supporting humans and dedicated human efforts through automation and imitate their work for them as if machines have used human intelligence.

    Since AI use very complex algorithms it perform tasks that are not even possible for humans, AI adapts through progressive learning algorithms, AI analyzes more and deeper data than a human can ever imagine and AI does it with an incredible accuracy, the world generates 2.5 quintillion bytes of data per day and with the help of AI we can get the most out of that data

    we use AI in a wide range of things now, from netflix recommendations to self driving cars there is AI playing a huge roll behind the curtain. we use AI in healthcare, banking and finances, surviallance, automobile automation and many other things. and experts are finding ways to inject AI for each and every industry you know.

jobs in AI

Artificial Intelligence or AI career opportunities have escalated recently due to its surging demands in industries. The hype that AI will create tons of jobs is justifiable. A career in AI looks more promising than any other job available these days. Artificial Intelligence is, therefore, a lucrative job opportunity that will help in the advancement of the career opportunities of the aspirants massively.

1. Big Data Engineer

    The role of a Big Data Engineer is to create an ecosystem for the business systems to interact efficiently. Their primary task is to build and effectively administer big data of an organization. They also have to carry out the function of obtaining outcomes from big data in a robust manner.

2. Business Intelligence Developer

    The primary responsibility of a Business Intelligence Developer is to consider the business acumen along with AI. They recognize different business trends by assessing complicated data sets. This is done with the help of gaining simulated data that has been fed beforehand to the AI and obtaining concrete results out of it. This helps in providing them with brand recognition and brand awareness in a much more robust technique. They help in swelling the profits of a company by preparing, developing and nourishing business intelligence solutions.

3. Data Scientist

    Data scientists assist in gathering relevant data from multiple sources for the purpose of assessing it to gain constructive inferences. The inferences gained are influential in tackling various issues concerned with the business. Depending upon different data patterns, past and present information, data scientists make various predictions.

4. Machine Learning Engineer

    Machine Learning (ML) is known to be a subset of Artificial Intelligence. It runs simulations with the different data that has been given and generate accurate results. Machine learning engineers are involved in building and maintaining self-running software that facilitates machine learning initiatives. They are in continuous demand by the companies and their position rarely remains vacant. They work with huge chunks of data and possess extraordinary data management traits.

5. Research Scientist

    Research scientists undertake efforts in performing extensive research dealing with applications of machine learning and machine intelligence. A research scientist is one who has gained expertise in the field of applied mathematics, statistics, deep learning, and machine learning.

6. AI Data Analyst

    The major function of an AI data analyst is to perform data mining, data cleaning, and data interpretation. By cleaning data, requisite data is collected to carry out data interpretation. Any sort of useless data is discarded by them so that it does not hamper the data interpretation process. 

7. Product Manager

    In the field of AI, the duty of a product manager is to resolve challenging problems by strategically collecting data. You should possess the skill of identifying relevant problems that obstructs the business proceedings. The next step is to get hold of related data sets to facilitate data interpretation.

8. AI Engineer

    AI engineers are problem-solvers who develop, test and apply different models of Artificial Intelligence. They effectively handle AI infrastructure. They make use of machine learning algorithms and understanding of the neural network to develop useful AI models.

9. Robotics Scientist

    A reduction in jobs will indeed take place due to the emergence of robotics in the field of AI. Conversely, jobs will also rise as robotics scientists are in incessant demands by major industries for programming their machines. The robots will help in carrying out certain tasks efficiently.