There is no dearth of jobs for qualified people in the market. Especially, if you have the knowledge and desire to make a significant difference in the market. Technologies like Machine Learning (ML) and Artificial Intelligence (AI) have already established the foothold in the market. Both of these technologies have the power to reform the way businesses operate. The communication and human interaction to accomplish complex tasks are also evolved.

As the business application of AI and MI is constantly increasing, the requirement of qualified people to handle the workload is also increasing. Everybody is willing to take their career to the next level with these innovations. It is true that there are ample opportunities for qualified people, but simultaneously you should also have the extra-ordinary capabilities to take the challenges as programmers to make a smooth and natural transition whenever and where required. Now, to sail across smoothly, you must look at the following:

1. Powerful mathematical and algorithms knowledge

If you’re an expert in a broad set of algorithms and applied math, kudos, you’re an ideal candidate. A candidate should be well-versed with superb problem solving and analytical skills. If you have a principle understanding of the statistics, probabilities, and math; and can efficiently to grasp the problem, while performing efficiently in the given tasks, you’re in the right profession. The basic knowledge and foundation will allow the professionals to identify the correct algorithms to solve a problem and figure out ways to optimize the results.

2. Knowledge of probability and statistics

Detailed knowledge of probability and statistics will help you to understand different AI models. The knowledge of theories will also help you in learning complex algorithms. If you wish to be efficient in all AI models, you must have adequate knowledge of statistics and ways to seamlessly carry out programming. The handling of statistical data and methods using a model evaluation metric is a work of professionals who have the expertise and knowledge to do that, and you could be one among them.

3. Basic knowledge and expertise in programming languages

It is necessary to learn programming languages such as Python, C++, R, Java, etc. to gain proficiency in handling AI and ML modules. Python makes it easier for them to create complex algorithms, while C++ speeds up the entire coding process. If you need to be an expert in stats and plots, you should be an expert in R is needed to be efficient in stats and plots. The aspiring AI professionals also need to be well-versed in Java to implement mappers and reducers. Explore the different open source libraries, to be expert in these languages.

4. Efficient to distribute the computing data equally

As the programmers in AI jobs need to handle large and multiple data they must learn how to equally and efficiently distribute the computing data to avoid confusion and clutter. As you work on a single machine and all the data needs to be handled carefully, you must know and take care of these data. These would only sharpen your knowledge and skills.

5. Adequate command over Unix tools

As most of the processing in artificial intelligence happens on Linux-based machines, the programmers should be well-versed with the functions of Unix tools like awk, grep, cat, sort, find, cut, tr, etc. They should have a thorough knowledge of the ways to utilize them.

6. Be curious and enhance your creativity

In order to discover ways to approach specific problems, your mind should always figure out the ways to do things creatively. You should be curious enough to find out the solutions and at least keep looking for solutions. In order to do so always be open to abstract information. As abstract information can efficiently help you to find out a solution. Be clear with the possibilities to process it well.

7. Need to stay updated and grab the new concepts

As aspiring AI professionals, you must have a passion to learn and explore new concepts and always have a desire to stay updated. Put efforts your skills every time you get a chance. Never leave an opportunity to upgrade your knowledge and skills and be familiar with the advanced development tools, theories, algorithms, etc. You can also actively participate in various online forums, blogs, and communities to be in touch with new options and ideas. Online AI tutorials, conferences, video courses, etc. can be extremely helpful to enhance your expertise. Consulting online papers like Google Big Table, Google Map Reduce, The Unreasonable Effectiveness of Data, and Google File System can be extremely helpful for the programmers who wish to sharpen their AI knowledge.

8. Willingness to succeed

As AI and ML are still new technologies, the professional should be patient and have strong perseverance. Nothing works better than a willingness to succeed and success never comes in a day. If it is hard to discover new tools and methods for making the community much more efficient, one must strongly pursue to achieve it. Be patient enough to cope up with several months and countless iterations to achieve accurate results. You need to open to new opportunities and feel confident to make a new move towards the AI development domain. Be ready to explore the highly dynamic and promising field.

Medical sector is growing at a great speed with the solution of various diseases which were unknown till now. The development is maximum based on digital technology and is giving rise to huge amount of digital data and automated services too. Artificial intelligence was earlier discovered for several well-known digital platforms for simplifying their process and serve more effectively to their users without any manual assistance, such as recognizing images on social media platform and giving automated suggestions on search engine result page. Sooner this advancement made small steps towards medical industry and artificial intelligence within no time was deployed in the medical sector for various processes and the major part of medical stream which is sorted and made swift with the help of AI is disease diagnosis and treatment recommendations.

Use of artificial intelligence in medical industry:

Radiology:

On time diagnosis of a disease can give effective solutions for the disease and can be really helpful to avoid the life risk included with the disease. Artificial intelligence has given a prompt solution for this by automating the image analysis and diagnosis. This technology eradicates the probability of error to the least and gives most appropriate results in least possible time. With the present developments our doctors are enabled to give immediate reports of tumor detection, MRIs. And CTs. Future studies have been depicted that we will have effective cancer preventions too.

Drug discovery:

Artificial intelligence has a potential to determine new solutions using old available data and studies. There are a number of studies conducted for the drug and treatment development for various diseases but none has got all the studies together to find the best possible solution by counting all together. This miracle is possible with the use of artificial intelligence that brings all the available data together and brings out the best possible results out of it, such as a possible drug, equipment, and a type of treatment.

An ability to adapt to machine and learning to a machine is Artificial Intelligence, as described in brief. But artificial intelligence is more than we know and perceived to be. There are 3 types of artificial intelligence.

Let’s look at the first type of AI and broaden our knowledge about narrow artificial intelligence:

Artificial Narrow Intelligence (ANI)

Artificial Intelligence proved that technology could imitate the human brain and actions. Narrow artificial Intelligence or narrow AI is a specific technology that it can imitate the human action to accomplish a task, which is narrowly defined. These actions, for example, include speech recognition and voice assistants. It would be good to know that narrow artificial intelligence has cognitive abilities and emphasize a single subset of this ability, where there is a further scope to make a few advancements in this area.

Tracing the history of AI, narrow artificial intelligence marks the beginning of the basics of artificial intelligence, later, which developed into something more refined and improved. Since the time the computer was invented until the present time, various technologies have been put together to make the human effort easier. It would not be unfair to say that computers have surpassed the human abilities of computing and quantifying tasks. As technology advanced and technologies like narrow artificial intelligence came into place, people’s perception has changed. Probably, we want to know and explore what more artificial intelligence can offer. With endless opportunities, there is no limit to improving artificial intelligence.

With endless limits, narrow artificial intelligence scope is wide. Whether you want to play complex games or want to make some important business decisions and want to complete some critical and useful business tasks, smart devices and computers powered by AI can help you achieve with ease. The technology artificial intelligence systems are evolving and becoming more improved day after day. Narrow artificial intelligence was easier to comprehend, but as human brains are much improvised to accomplish more complex tasks, artificial intelligence striving hard to achieve similar brilliance. Phenomena, like natural language processing advancements, come closer to humans’ ideas. It can replicate the human mind and actions in a much more general strong artificial intelligence model. Technologies like this allow computers to write effective news stories and fiction novels based on what exactly a human mind can think, conceive, and act.

To role it up, narrow artificial intelligence is a stream of intelligence that can perform a single task smartly and intellectually as it is programmed to do so. The basic concept of AI is to learn or be programmed about a single task with intelligence and perform efficiently and smartly with minor or no errors.

The examples of narrow artificial intelligence are:

1. Speech recognition is the ability of a machine or program to detect related words or phrases in the spoken language and transform the same into a format readable and identified by machines. The fundamental speech recognition software has a stock of limited words and phrases in its vocabulary. It can only recognize what lies in its spectrum and only when it is spoken clearly. To efficiently perform certain actions, it exclusively relies on specific audible and liable voice commands. This type of intelligence is achieved by humanity.

1. The voice assistant is a digital assistant. It helps and provides solutions or results to the users through phones and voice recognition applications. To perform the tasks, it uses voice recognition, natural language processing, and speech synthesis.