A career in Artificial Intelligence and Data Science

Modern technologies like machine learning, artificial intelligence, big data, and data science have become the buzzwords which everybody talks about but no one fully understands. They seem very complicated to a layman. All these buzzwords sound alike to a student from a non-technical background or business executive. People often get confused by words like ML, AI, and data science.

In a world where 2.5 quintillion bytes of data are produced every day, a professional who can organize this humongous data to provide business solutions is indeed the hero! Much has been spoken about why Big Data is here to stay and why Big Data Analytics is the best career move.

 In this blog, we will see AI and Data Science in simple words so that you can easily understand the difference between them, their scope and career opportunities and how there are being used in business.

WHAT IS ARTIFICIAL INTELLIGENCE (AI)?

Artificial intelligence (AI) refers to the simulation of the human brain function with machines. This is accomplished by forming an artificial neural network that can show human intelligence. 

The fundamental human functions that an AI machine performs include learning, logical reasoning and self-correction. Artificial intelligence is a broad field with various applications but it is also one of the most complex technology to work on. Machines inherently are not smart and to make them perform, we need a lot of computing power and data to enable them to simulate human thinking.

Artificial intelligence is divided into two parts, general AI and Narrow AI. General AI means making machines intelligent in a broad array of activities that involve reasoning and thinking. Narrow AI, on the other hand, includes the use of artificial intelligence for a very particular task.

WHAT IS DATA SCIENCE?

Data science is the extraction of relevant insights from data. It uses different techniques from many fields like machine learning, mathematics, statistical modelling, computer programming, pattern recognition, and learning, uncertainty modelling, data engineering and visualization, data warehousing, and cloud computing.

Data science is the most extensively used technique among ML, AI, and itself. The practitioners of data science are usually skilled in statistics, mathematics, and programming (although proficiency in all three is not required). Data scientists solve complicated data problems to bring out insights and correlation relevant to a company.

THE DIFFERENCE BETWEEN ARTIFICIAL INTELLIGENCE AND DATA SCIENCE:

Artificial intelligence is a really broad term with applications varying from robotics to text analysis. Machine learning is a subset of AI that centres on a narrow range of activities.

Data science isn’t precisely a subset of machine learning but it applies ML to analyze data and make forecasts about the future. It blends machine learning with different disciplines like big data analytics and cloud computing. Data science is a practical application of machine learning with a complete focus on solving real-world problems.

SCOPE OF DATA SCIENCE:                                                         

Identifying opportunities, constructing better business goals, and making efficient decisions are some of the best applications of data science. This is why professionals who can analyze and derive insights from data have become more important than ever today, which has to lead to an increase in demand for Data Science training in Noida.

The scope of data science In India includes organizations in healthcare, banking pharmaceuticals, biotechnology, e-commerce, energy, telecommunications, and the automotive industries.

MOST LUCRATIVE SKILLS IN DATA SCIENCE:

To rise to the top in the field, professionals will need to master the following areas, which they can do by joining,

• IT fundamentals (data structures, computability, algorithms, and complexity)
• Proficiency in Multiple Coding Languages (R, C, Java, C++. PHP, Ruby, Perl, Python)
• Advanced understanding of Probability, Math, and Statistics
• Data Modeling and Evaluation
• Data Mugging
• Data Visualization
• Communication and Decision-Making

DATA SCIENCE – JOB ROLES:

Let us take a sneak peek into some of the Data Science job roles in demand. Data Science jobs for freshers may include the job of a business analyst, data scientist, statistician or data architect.

Big Data Engineer:

Big data engineers develop, maintain, test, and evaluate big data solutions within organizations.

Machine Learning Engineer:

Machine learning engineers have to design and implement machine learning applications/algorithms to address business challenges.

Data Engineer/Data Architect:

Data engineers/architects develop, construct, test, and maintain highly scalable data management systems.

Data Scientist:

Data scientists have to understand the challenges of business and offer the best solutions using data analysis and data processing.

Statistician:

Statistician interprets the results, along with strategic recommendations or incisive predictions, using data visualization tools or reports.

Data Analysts:

Data analysts have involved in data manipulations and data visualization.

Business Analysts:

Business analysts use predictive, prescriptive, and descriptive analyses to transform complex data into easily understood actionable insights for the users.

DATA SCIENCE: AVERAGE SALARY:

Salary packages of data scientists depend on their qualifications, job roles, job profiles, and years of experience. The annual package of a fresher usually lies between 6 lakh to 8 lakh per annum (as per Payscale.com). 

The table below consists of the average salary packages offered to different job roles of a Machine Learning Professional (as per Payscale.com).

TOP RECRUITERS FOR DATA SCIENCE:

Below is the list of some renowned companies that recruit data scientists:

• Amazon

• LinkedIn

• IBM

• Walmart Labs

• Busigence Technologies

• Fractal Analytics

• Sigmoid

• Flipkart

• Mate Labs

• Couture

SCOPE OF ARTIFICIAL INTELLIGENCE:

The ultimate effort is to create computer programs that can resolve difficulties and achieve goals in the world, as well as humans. 

There is scope in developing the machines in game playing, speech recognition machine, language detection machine, computer vision, expert systems, robotics and many more, which has again lead to increase in demand for Artificial Intelligence Training in various countries.

The scope of artificial intelligence In India includes jobs at public and private sectors which are American Association for Artificial Intelligence, European Coordinating Committee for Artificial Intelligence and many more.

MOST LUCRATIVE SKILLS IN ARTIFICIAL INTELLIGENCE:

To rise to the top in the field, professionals will need to master the following areas, which they can do by joining,

• Maths and Statistics

• Python

• Java

• Hadoop

• Data Mining

• SAS

• SPARK

CAREER OPPORTUNITIES IN AI:

What are the different Career Domains and Roles available?

The career domains that implement AI are many and vast. Some common domains include:

• Private and Public organizations.

• Education, both primary and advanced.

• Advanced Healthcare facilities.

• Government agencies and committees related to research.

• Military.

Thus, the different roles available in these sectors include:

• Software engineers, developers, and analysts.

• Research scientists

• Manufacturing and maintenance engineers.

• Mechanical engineers

• Game programmers, developers and algorithm specialists.

• Computer engineers

• Electrical engineers

• Surgical technicians

The average salary in AI:

The average salary for “M.S. in Artificial Intelligence” ranges from approximately $77,602 per year for Research Scientist to $135,260 per year for Machine Learning Engineer.

The average salary for “Artificial Intelligence Engineer” ranges from approximately $93,625 per year for R&D Engineer to $135,260 per year for Machine Learning Engineer. The rest depends on the candidate and the domain he/she is targeting into.

Modern information technologies and the advent of machines powered by artificial intelligence (AI) have already strongly influenced the world of work in the 21st century. Computers, algorithms, and software simplify everyday tasks, and it is impossible to imagine how most of our life could be managed without them. 

However, is it also impossible to imagine how most process steps could be managed without human force, if they are then Artificial Intelligence will be a sure short trend in the I.T. industry?

Image Courtesy: www.inteliment.com

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