Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks the typically require human intelligence. AI is an interdisciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.
From now, It is quite sure you would have understood the work and responsibilities of data scientists. They are basically involved in getting data from multiple touch points, analyzing it, interpreting it for inferences and insights and coming up with better solutions for business problems. Artificial Intelligence and Machine learning are essential parts of data science, where techniques from both such as regression, predictive analytics and more are applied for insight creation.
With an average salary of over $1000, machine learning engineers are some of the most in-demand jobs in artificial intelligence. They are most sought by many organization and are immediately hired for operations if found suitable. Machine learning engineers come with competencies on software, statistics, applied math natural language processing and working knowledge of tools such as IntelliJ, Eclipse and more. If you are an AI student, you might want to consider more about becoming a machine learning engineer.
The job role of a research scientist is inter-disciplinary. A research scientist would be included in deep learning, reinforcement learning, natural language processing, computer perception and more. If you are willing to become a research scientist, you have to possess skills in parallel computing, distributed computing, algorithms and computer architecture. You can also expect an average salary of over $80,000.
A business intelligence developer creates to the table business acumen apart from skills on Artificial Intelligence and Machine Learning. He or she is responsible for crunching massive slab of information for business insights and work on enhancing the profits of an organization from a myriad of perspectives. From maintaining and designing information for cloud-based platforms to optimizing workflows and processes, business intelligence developers are accountable for getting company growth on their shoulders.
Apart from these, the opportunity for jobs in artificial intelligence and machine learning also have job roles like –
Artificial intelligence generally false under two broad categories:
1. Creating expert systems: The systems which are mentioned here should have the ability to display intelligent behavior, learn, demonstrate, explain, and provide the users with the best pieces of advice.
2. Implementing Intelligence in machines: This intends to develop systems which can understand, think, learn, and behave like humans.
1. Error Reduction: Artificial intelligence helps us in reducing the error and the chance of reaching accuracy with a greater degree of precision.
2. Difficult Exploration: Artificial intelligence and the science of robotics can be put to use in mining and other fuel exploration processes
READ MORE1. High Cost: Creation of artificial intelligence requires huge costs as they are very complex machines. Their repair and maintenance require huge costs.
2. No Replicating Humans: Intelligence is believed to be a gift of nature. An ethical argument continues, whether human intelligence is to be replicated or not.
A beginner in AI with certification can earn a salary package of INR 7 to 15 Lakhs per annum. An experienced AI professional with certification can earn in the range of INR 15 to 20 Lakhs per annum. WAC AI courses can help you secure a job with a high salary in Artificial Intelligence.
Know More START WITH OUR PROGRAMSThe current ravishing trends of Artificial Intelligence is hailing all the industries across different countries. AI has the power to recognize faces, run autonomous cars, deliver better online outcomes and strengthen business in various industries. Not too much of surprise, the developed, developing and under-developed countries all are focusing on AI adoption for better futuristic opportunities and development. While AI technology is flourishing within and beyond the circumference of the world, some major AI powers are working hard on winning the race.
