With smart technologies slowly trickling down into our daily lives, the prospect of artificial intelligence is growing stronger. And with this growing prospect, the demand for qualified AI engineers is also increasing every day.
As more and more businesses and processes around the world joining the automation revolution to make tasks easier for humans, the requirement for a fast turnout in AI software keeps increasing.
The most qualified professionals in this field and body of work are the engineers of today, especially the ones who have a background in programming. But what AI is and what is the buzz around this in the 21 st century? This blog sheds light on everything that you need to know about AI and details the role of an engineer in developing it.
What is Artificial Intelligence?
Artificial intelligence is a suite of programs that allow a computer or computer-based system to mimic the logical ability of a human brain. In simpler words, AI is the ability of a computer to begin to demonstrate the logic, intelligence, and working capabilities as shown by humans and animals.
The computer program can be trained through past data and actions to create a response to a condition or event, based on the learning it received. On the basis of the same learning, AI can also develop new inputs for the problems and data sets not encountered before, adapting to the situation by teaching itself.
The major aim of developing AI was to reduce the redundancy in doing tasks of the same nature. Imagine checking the same document 1000 times, or marking a small area on thousands of pieces of metal with accuracy. A human will not only take time to calculate and calibrate but will also get bored of doing it over and over again. When AI is put into action, the task can be performed with more precision and accuracy in less time. This will help put human efforts in the direction where they will be more required.
The Role of An Engineer
The role of an AI engineer will be to build and maintain such systems as solutions to problems that exist in the current world. Their task is to train an AI model with the use of machine learning, which is the study of algorithms in computer programming languages that improve and adapt automatically over time. It sits at the very core of AI as it helps the program in giving out the right results and information.
Through the understanding of Machine Learning, engineers today are creating algorithms that create a deep learning neural network which understands business processes, insights, and efficient decision making. These engineers need a thorough understanding of programming, software engineering, and data science in order to develop and maintain AI systems through correct processing of data.
Major responsibilities of an engineer in developing AI include:
- Converting algorithms of ML into Application Program Interfaces (APIs) so they can be used for other applications as well.
- Constructing (designing, planning, and programming) AI Models from scratch for better and more efficient results that cater to the unique needs of an organisation.
- Build the infrastructure for data intake and transformation.
- Test AI programs before deployment.
- Be proficient in programming, linear algebra, probability, statistics, spark, and big data technology, among others.