Almost all organizations are adopting AI technology today as it has caused a disruption in every industry at a dangerously fast rate. This exponential increase in the demand for Artificial Intelligence is set to create over 2.3 million jobs by 2020.
What is Artificial Intelligence?
Creation of smart and innovative machines that work like humans is known as Artificial Intelligence. A few examples of AI are Alexa and Google Homes. They are easing up the lives of humans by making the tedious tasks easier and interesting. There is nothing that these AI integrated technologies can’t do. From scheduling meetings to turning off the lights of your room, AI is leaving no chance to fascinate us. It can even help salespeople prospect and track potential new accounts, translate your conversations, recognize an image, transform the virtual world, and what not. Where there is AI, there is innovation.
According to Dun & Bradstreet, 40% of organizations are adding more jobs as a result of deploying AI within their business. This will certainly increase the demand for skilled professionals in Artificial Intelligence.
According to a survey by Deloitte, around 37% of the organizations globally have invested the US $5 million or more in cognitive technologies. Countries with an increase in demand for AI skills include the United States, China, India, Israel, and Germany. These countries will be disrupted because of the availability of a large number of talented engineers who can bring a change with automation and AI technologies.
Who is an Artificial Intelligence Engineer?
An AI engineer is someone who knows various programming languages like Python, Java, and C++. They can cause disruption in healthcare, healthcare, retail, and entertainment, etc with their skills. They know how to handle tasks in data science, data engineering, and software development. Their tasks include working with algorithms, neural networks, and other tools in order to change the way industries do business. They are also experienced in programming, maths, and statistics fundamentals. To become an AI engineer, one should have a degree in computer science or in some related field. They must be ready to take on every challenge by applying the logic using machine learning models. They very well understand the concrete knowledge of how machine learning can support development pipelines.
Organizations are looking for the right talent in this world of competition. Big companies such as Google, Amazon, and Microsoft are already creating a pool of talent to make their place in the market.
Professional engineers hold the power to transform the world with AI and automation as their sword. Therefore, certifications have created a buzz in the industry. Professionals want to get certified to grab their dream job and secure their place. AI Certifications are responsible to enhance the skills of the professionals by making them capable individuals holding the potentiality that can be demonstrated in the world of AI. This increases credibility and they are set to receive good salary packages. Since AI is revolutionizing the world, It’s time to build a career in this lucrative field right away!