The future is closer than we previously thought. The world is getting increasingly digital, and this means big data and Artificial Intelligence are here to stay.
Artificial Intelligence can do more than drive efficiency; it is an opportunity to deliver excellent experience and build loyalty. According to the research, only nine percent of organizations focus on consumer preferences when designing AI interactions. AI brings together experiences to deliver strategy and execution that enhances the client experience and results. AI is designed to develop real solutions.
Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.
And Big data is an evolving term that describes a large volume of structured, semi-structured and unstructured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications.
So, the importance of big data and AI is going to continue growing in the coming years.
And choosing a career in the field of Big Data and AI will be a fantastic career move, and it could be just the type of role that you have been trying to find.
Professionals in this field can expect an impressive salary. The median salary for data scientists being $116,000. Even those who are at the entry level will find high salaries, with average earnings of $92,000.
As more and more companies realize the need for specialists in big data analytics and AI, the number of these jobs will continue to grow. Most of the data scientists say there is currently a shortage of professionals working in the field.
AI technology already supports your job hunting efforts. For example, in some cases, you can search for jobs without putting in a location. This is because AI is able to establish your current location and provide you with jobs in that area.
This is also the same for salary. AI may already be matching you with jobs that don’t display the salary but are within range. This is because the algorithms use historical job data and third-party information to predict a salary from the job adverts you’re looking at.
AI and big data technology are developing. It can analyze your personality, experience/skills, and motivations. This means it can provide you with companies and roles that match your desires.
So far, there has massive growth in AI. From the mainstream use of personal assistants like Siri and Google Now to predictive analytics algorithms employed by big retailers such as Amazon and Target, AI is becoming an accepted part of everyday life. China is at the forefront of AI innovative, with the Chinese government pledging to invest $15 billion into AI development.
While experts predict that AI will overtake a third of all current jobs by 2030, it’s also true that AI will create millions more. It’s estimated that 15 million jobs will be created in design, software, engineering, training, and support, and those jobs are hiring now and in the immediate future.
If you’re intrigued by this career field and wondering how to get started, here is described the learning paths for those who new to the field, programmers, and those already working in data science.
First, all working in AI and big data should have good communication skills before addressing the math and computing skills needed.
For those new to the field, starting with mathematics and taking all kinds of courses in machine learning. In addition, someone wanting to move into AI should have strong computer skills as well as programming skills like C++ and an understanding of the algorithms. You should also supplement that education with general business knowledge. Most importantly, make sure any training you get is hands on.
Some of the most common certifications for those in the field include Certified Analytics Professional (CAP), EMC: Data Science Associate (EMCDSA), SAS Certified Predictive Modeler, and Cloudera Certified Professional: Data Scientist (CCP-DS). The various certifications are for specific competencies in the field.
If you’re already a programmer and you’d like to move into AI and big data, you can go straight into the algorithms and start coding.
For a data analyst or scientist getting more into AI, you must gain programming skills. To cross that bridge from data scientist to machine learning, you should know how to prepare data, as well as have good communication skills and business knowledge, and be proficient at model building and visualization. It takes many team members to make AI work, allowing for specializing in any number of areas.
A data scientist should start by figuring out what it is you would like to do, and then focusing on that for your machine learning career.
No matter where you’re starting from, plan on continuing your education throughout your career.
Continuing to take courses to keep abreast of the latest technologies will provide you with the edge needed to become a valuable member of any team. It shows initiative and drive, and it makes you an asset to the companies.
AI and big data never stop learning, so you can’t stop learning either. Take the initiative to stay up to date with any changes that could affect the field.
Stock photo from Ryzhi