Artificial Intelligence or AI is the process of building intelligent entities through machines such computers and the like in conjunction with human intelligence. It enhances human intelligence and enables companies to have a better outlook of the over-all internal technical set up. It can be used to examine the theories of human intelligence by writing programs which can offer simulating results.
It is a growing need for every industry these days and has become an unavoidable part of day-to-day business. There are several sectors that already began implementing AI in their systems. Major industries like Healthcare, Language Processing, Banking, Robot Control, Software, Automobiles etc are significantly investing this technology. Similarly, corporate bigwigs such as Facebook, Apple, Microsoft, Amazon have already ascertained the value of this skill and are perhaps planning to invest further to advance their machine learning technologies.
Nowadays, several organisations prefer to evaluate their business situations through AI rather than Human Intelligence (HI). Though it is much discussed whether working with AI in concurrence with HI is better than executing tasks with HI alone, the world is slowly advancing towards an era in which the HI is definitely taking a back seat.
The origin of AI:
Though the origins of AI run down the pages of history, it was brought formally into existence in 1956 at conference held at Dartmouth College in New Hampshire. It was here the term –Artificial Intelligence – was coined. MIT cognitive scientist Marvin Minsky and other stalwarts who were present at the conference were hopeful about the future of AI.
The official funding and interest for developing was at its peak in the 60’s, but after several reports criticising its progress, the funds plunged and by 1974- 80 AI was no longer into reference. The field was later revived in the 1980s when the government of Britain began funding it again to counter competition faced by Japan.
However, actual research in this field began in the mid-90s. IBM’s Deep Blue was the first computer to exhibit AI.
Roles and Responsibilities of an AI professional:
The roles and responsibilities of an AI professional is diverse. They are deployed to work internally to develop novel, unique concepts and even applications as per client demands. Besides, they are responsible to offer technical solutions to problems and even spearhead a task. They are meant to prototype new functionality and technologies assimilating them in the company’s products and services.
All AI professionals should have a thorough knowledge of machine learning algorithms, platforms and other neutral networks.
They must have hands-on experience in technical languages such as machine translations language detection, neutral language processing and classification. Sound and vision are equally essential such as object recognition, face/gender/emotion recognition, audio processing, voice recognition etc.
Since, AI is a gamut of applications and user interfaces, an AI Professional must have an in depth idea about various AI solutions such as Robotic Process Automation, Virtual agents and biometrics, inference engines etc.
Why Companies hire AI Professionals?
As mentioned, AI professionals are highly in demand for their expertise in diverse technical domains.
AI professionals are hired for offering virtual assistance to the internal team and clients. Chatbots and intelligent systems are crucial to the functioning of a large scale organisation such Apple or Accenture. These technologies help professionals to coordinate, offer business solutions and counter problems of customers and clients alike.
AI Professionals are responsible for generating market and business insights. AI can help organisations find unique solutions and ideas in databases, processing several data points in a fraction of seconds. AI is dynamic as it learns and adapts to the situation.
AI Professionals are can automate and synthesize complex systems. They can quickly automate machines that are meant for routine processes. Without AI professionals, task that require intense technical attention would never get completed.
How to become an AI Professional?
The domain of AI is highly critical and an aspirant of AI should be well-versed various technologies that enable them develop and code certain projects. To begin with an individual should first know the basic technical coding languages. They must have an aptitude and proficiency in design and programming techniques -- .Net including WPF and WCF, Python, C++/C#, Java, design patterns, web development etc.
It is essential they get a good understanding of technical architectures and the market situation in the IT industry.
An AI aspirant should also take up projects independently and practice them. They should express interest in AI conferences, interact and network with professionals to have better idea about this domain.
About Han Digital:
Although AI has been in the industry for quite some time now, Han Digital Solution has always been at the fore to poach professionals experienced in this domain. Han Digital has a separate team that deals with AI requirements. Since, we work with top MNCs, the requirement for AI vary. Han Digital consultants ensure to offer genuine and credible profiles to the clients. They track relevant profiles through the talent mapping tool which helps them to track expert talent across all domains and cities. To know more about Han Digital’s AI hiring strategies, you can drop in a mail at firstname.lastname@example.org