“The development of full artificial intelligence could spell the end of the human race…It would take off on its own, and re-design itself at an ever-increasing rate. Humans, who are limited by slow biological evolution, couldn’t compete, and would be superseded.”– Stephen Hawkin
What is Artificial Intelligence?
Artificial Intelligence is a stimulant to the human intelligence process by machines, mainly computer systems. Their main applications are problem-solving, speech recognition, learning, and planning.
Artificial Intelligence manages machine learning and other types of data analytics.
According to a report by IDC, global spending on AI and cognitive technologies are expected to reach $52.2 billion by 2021.
According to LinkedIn, AI skills are the fastest-growing skills and have seen an upsurge from 2015-2017 and are growing faster ever since then.
AI Scientist as the senior AI professional in the AI domain
AI scientists play the most important role among artificial intelligence teams. An AI scientist uses all the relevant skills to create useful insights from given data and interpret them to create an applicable plan and managerial decision of an enterprise business.
Roles and responsibilities of AI scientists
More generally, an AI scientist is someone who knows how to extract meaning and interpret data, understands machines and their behavior, plans and implements tools and methods from statistics and machine learning, as well as being human.
Today industries are welcoming technology in their decision-making process, irrespective of the sector. AI Scientists are the talk of the town and chiefly perform the following functions-
• Establish and achieve the set goals using AI technology and reasoning.
• They check data insights carefully to discover various patterns and clues within the data.
• Understand and implement AI for maximizing ROI
• Solving problems using machine learning and analyzing the Data with logic and probability.
• Analyses systems to effectively curate and control the projects for further development of the company.
• They utilize the best AI practices to inculcate them with speech recognition, data mining, data processing, robotic control, etc.
• Develop models using AI technology that mimic humans in achieving the desired tasks.
• Create the best solutions that perfectly blend and implement artificial intelligence as well as machine learning.
• They keep in contact with stakeholders to have a clear understanding of the problems they are trying to solve.
• They communicate among all the levels of organizations.
Salary of AI Scientists
According to Payscale, the average salary of an AI Scientist is around $125k/year which can be more depending upon the level of experience and knowledge.
According to Glassdoor, the national average salary of an artificial intelligence scientist is $134k per year. Considering the vastness, the salary is huge and worth considering.
Certified AI scientist certification
Artificial Intelligence has been widely spreading its existence over businesses worldwide, which has developed a steady demand for data scientists. However, data science professionals with advanced AI skills are hard to find and even more difficult for organizations that want to create qualitative work.
The Certified Artificial Intelligence Scientist (CAIS) programs help
to develop skill-sets and the latest technological know-how to manage complex projects.
How to Become an AI Scientist?
For grabbing the best AI skills and to become an AI scientist, you must pursue a certification course. This AI Certification course will enhance your skills and make you stand at par with the cutting-edge market competition. Below is the list of renowned institutions offering the best AI Certification Programs–
• USAII Certification Programs- The USAII Certificate in Artificial Intelligence is the most sought-after program due to its unrivaled framework of knowledge on AI practices to perform data analysis and autonomous computing with unmatched functionality and business value.
• MIT
• Stanford University
• Duke University
• IBM
• Imperial College of London
