The latest breaking updates, delivered straight to your email inbox. Working from home during the pandemic has changed the way people live their daily lives. But let's take remote working a step further. What if you had a digital twin to help with your job? Pittsburgh's Action News 4 spoke with a Carnegie Mellon University professor who says the artificial intelligence could be happening in the near future.

Artificial intelligence (AI) is the ability of a machine or computer system to perform tasks that would normally require human intelligence, such as understanding language, recognizing images, making decisions, and solving problems. AI systems are designed to mimic human cognitive functions, such as learning and problem-solving, and can be trained to perform a wide variety of tasks. There are different types of AI, including narrow or weak AI, which is designed to perform a specific task, and general or strong AI, which is designed to be capable of performing any intellectual task that a human can. AI has the potential to revolutionize many industries and has a wide range of applications, including in healthcare, finance, education, transportation, and more. Some common applications of artificial intelligence include voice recognition, image recognition, and natural language processing.

With many companies and organizations having more IT (Information technology) job openings, there is no denying that many are enticed to dive into the industry. This is because the IT industry is one of the most popular and ever-growing sectors, with research estimates promising growth at a CAGR of over 10% by 2027. However, despite the interest in IT, competition remains fierce, and not all candidates have the necessary skills for these jobs. As a result, we have compiled the most sought-after IT skills to help you grab those high-paying IT roles this year. Here are the ten most IT skills in demand to master this year if you are considering a tech role soon.

Emapta is a full-service outsourcing company that helps businesses lower labor costs, and scale fast. "Robots" are here, and they are here to stay. Artificial Intelligence (AI) is silently taking its roots in the modern world. It has created smart homes and offices, boosted security with facial recognition technology, assisted drivers in navigating rush hour traffic, and made people like or buy things through behaviour-reading predictive algorithms. While AI is making a lot of things easier, some people fear that these "robots" will take over their jobs.

AI is no longer just for companies like Amazon, Microsoft, Netflix, etc. Take, for example, Siri; the AI-powered virtual assistant is one of Apple's most popular AI applications. Cortana is another famous virtual assistant from Microsoft. These apps are among the best AI apps, with millions of users worldwide. But, AI in business and mobile applications have much more functionality than just virtual assistants and chatbots. Today, AI is available in the products and processes of most industries.

Inside of the development studios of San Francisco-based Dexterity, Inc. there is a robot arm that stands as tall as a human. It is placed between a conveyor belt and several wooden pallets, all of which are typical of most warehouse packing facilities. But this is no typical warehouse facility. This is the location where most warehouse packing facilities would have teams of people manually picking up boxes from the conveyor belt and carefully placing them onto the pallets for wrapping and shipping, but there are no such people here. Instead, as the packages come down the belt, this robot recognizes them, picks them up, and then deposits them onto the target pallet with a gentle touch.

Computer vision applications have become ubiquitous nowadays. It's hard to think of a domain where the ability of computers to "see" what's going on around them has not yet been leveraged. Delivering process automation and accuracy, computer vision technology is expected to have even greater momentum due to the COVID-19 pandemic as organizations have rushed to adopt automation on a larger scale. More nuanced use cases of computer vision in different industries are also predicted to emerge with the next evolutionary leaps in artificial intelligence development, a field computer vision is part of. Let's take a look at inroads already made by computer vision, its vast applications in different industries, and benefits.

Artificial Intelligence offers a wide variety of services to streamline jobs such as mass production and data gathering. The main purpose of an AI in industry is to make certain tasks automatically so there’s no need to hire skilled personnel.

The potential value that would result from the incorporation of artificial intelligence and deep learning into business processes of various industries was also a topic of the McKinsey Global Institute discussion paper. The paper comes to the conclusion that the emergence of AI is a huge opportunity for a broad range of industries and business fields and that they can make use of this technology in order to create more value. The y-axis represents the impact of AI on a particular industry, measured in billions of dollars. The x-axis represents the effect of the AI as a percentage of the total impact derived from analytical techniques, such as more traditional statistical algorithms and machine learning algorithms. I think this graphic speaks for itself.

The authors' research approach is based on a qualitative multiple-case-study design. The main research question focuses on understanding how organizations manage AI initiatives -- specifically, the process of moving AI from R&D, lablike settings into production. The authors performed semistructured interviews with key AI leaders and informants in six North American companies of different sizes and operating in different industries: three AI consultancies (of five to approximately 300 employees); one platform provider of AI and analytics for the internet of things (100 employees); one vendor of off-the-shelf solutions for sports analytics (100 employees); and one large financial institution (over 10,000 employees). The authors subsequently interviewed other AI professionals working in different contexts and presented them with their preliminary findings. They also discussed their findings with members of a leading consortium whose mission is to bridge the gap between academics and industrial partners in this context.