What is Artificial Intelligence?
Artificial intelligence also called AI refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits tasks associated with a human mind such as learning and problem-solving. AI is the ability of a digital computer or computer-controlled robot to perform tasks which are commonly associated with intelligent beings. The term AI is frequently applied to the project of developing systems with intellectual characteristics of human beings like the ability to discover, solve, think or learn from the past experiences. Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks—as, for example, discovering proofs for mathematical theorems, solving complex mathematical problems or playing chess and computers do all this tasks with great proficiency. Still, despite of continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match human flexibility over wider domains or in tasks which require everyday knowledge and experience. On the other hand, some programs have attained the performance levels of human experts and professionals in performing specific tasks, so that artificial intelligence in this limited sense is found in applications related to medical diagnosis, search engines and handwriting, voice or fingerprint recognition. When most people hear the term artificial intelligence, the first thing they usually think of is robots. That’s because various films and novels have stories about human-like machines that either help people or want to destroy them. But nothing could be further from the truth.
APPLICATIONS OF ARTIFICIAL INTELLIGENCE
The applications for artificial intelligence are not limited or we can say that they are unlimited. The technology can be applied to many different sectors and industries. AI is being tested and used in the healthcare industry for dosing medicines and different treatment in patients, and for surgical procedures in the operating room. Other examples of machines with artificial intelligence include computers that play chess and self-driving cars, the finger lock which is nowadays used a lot in mobile phones and the face lock or fingerprint lock on high security rooms or the banks vaults. Artificial intelligence also has applications in the financial industry, where it is used to detect and flag activity in banking and finance such as unusual debit card usage and large account deposits—all of which help a bank’s fraud department. Applications for AI are also being used to help streamline and make trading easier. This is done by making supply, demand, and pricing of securities easier to estimate.
HOW WILL AI HELP IN CHANGING CAREERS?
We are in the middle of a massive shift in our businesses and workplaces. Talking about the future of work and its relationship with your career, no other Artificial Intelligence (AI). These days, the use of automating various processes and channels in some modern organisation is perceived as one of the major factors in shaping the future of the workplace. Artificial intelligence is sure to create and facilitate the change in human labour when it comes to everyday tasks.
Let’s see how can artificial intelligence change careers
- More Innovation – With the introduction of more artificial intelligence into our workplace, humans will have to migrate to jobs that machines cannot do in other to balance the result in our workplace. This will undoubtedly push humans to be very creative about our jobs. There will be rapid innovation, and high efficiency in humans as whatever we do will be fuelled by insights, thorough check, and by data provided by algorithms.
- Higher Level of Productivity- An excellent algorithm can make decisions faster and provide important data to make timely decisions and give you faster results .Artificial intelligence will help eliminate human errors, especially in critical and time-sensitive industries. This will significantly improve output quality and increase efficiency in productivity.
- Advanced Data Analytics – The dynamics of various jobs will change. AI serves both the business owners and those looking for jobs as both are searching for the perfect fit, as relevant analytics are leveraged, both can focus on what matters most and what works for them leaving the work to AI to pick the right candidate. For example, we have a recruitment software provider called iCIMS partnering with Google in helping job seekers find jobs directly through the search engine. This is possible with the help of Google’s AI and machine attributes.
- Decentralized Workforces – Artificial intelligence will help ease multitasking. You don’t need to be present at a particular place or busy with the task before you can get it done. This way, you can quickly move to other tasks you need to do, especially if you have a lot on your plate. With AI, mobile technology, and readily available internet access, employees won’t need to be in the same location, and remote jobs for employers are typical these days.
- More Collaborative Workforce – For those organizations that have workers across all parts of the world with different languages they understand, it can get very difficult passing a message across to the different staff in your organization as an employee and also difficult for the employees to work together efficiently. With the use of AI, workers will easily understand each other in real-time conversations and communication will be made easy, for the “doubting Thomas” they can cross-check with localization services like The Word Point to ensure the right thing.
I Would just like to conclude with a quote from Stephan Hawking who was an English theoretical physicist, cosmologist, and author who was director of research at the Centre for Theoretical Cosmology at the University of Cambridge at the time of his death. He once said ‘Computers will overtake humans with AI within the next 100 years. When that happens, we need to make sure that the computers have goals designed with ours.’