Artificial intelligence has the potential to radically change health care. Imagine a not too distant future when the focus shifts away from disease to how we stay healthy. At birth, everyone would get a thorough, multifaceted baseline profile, including screening for genetic and rare diseases. Then, over their lifetimes, cost-effective, minimally invasive clinical-grade devices could accurately monitor a range of biometrics such as heart rate, blood pressure, temperature and glucose levels, in addition to environmental factors such as exposure to pathogens and toxins, and behavioral factors like sleep and activity patterns. This biometric, genetic, environmental and behavioral information could be coupled with social data and used to create AI models.

Considering the public awareness of artificial intelligence and the speed new breathtaking progress is taking place, it seems to be just a matter of time when AI will surpass the human intelligence level. And yes, the headlines AI is writing are stunning! While the victory of the IBM chess computer Deep Blue over the former chess world champion Garry Kasparov in 1996 (and again in 1997) was something like the eighth wonder of the world, the victory of Googles AlphaGo over Lee Sedol in 2016 in the strategy board game "Go" was seen as predictable for many. AI development has undergone a vast acceleration during the last decade. Assuming a stable growth rate of AI development: Is AI supposed to surpass the human intelligence level over the next few years?

Actual intelligence provides you with the ability to determine which new technologies will materially contribute to your firm's innovation versus which will not, despite the hype and urge to jump on the proverbial bandwagon.

AI is poised to have an increasing influence on the way companies create new content, paving the way for new forms of human-machine collaboration. AI is maturing at varying rates around the world, with some organizations using these technologies--including machine learning, deep learning, natural language processing, and computer vision--to support external and internal organizational capabilities. For media and entertainment companies and other content producers in particular, AI may also offer a startling range of possibilities for the creative process, enabling individuals and businesses to generate new content with minimized human input. In a global analysis based on Deloitte's most recent State of AI in the Enterprise survey, early adopters were asked to identify the primary benefits of implementing AI in their organizations.¹ Respondents say using AI to enhance existing products and services is their most sought-after externally focused benefit, with 43% ranking it in their top three, while 31% prioritize using it to optimize external processes. The top internally focused benefit, meanwhile, is optimizing business operations, with 41% placing it among their top three choices, followed by using AI to make better decisions, cited by 34% of respondents.

These modifications show up not only through new jobs replacing old ones but also from the transforming skill profile of existing jobs. Instead of an exam for the survival of the fittest, these days we are able to count on a workforce that's a combination of human and machine intelligence. If automation guarantees a smarter and more secure presence for us, there ought to be no reluctance in embracing it. The "M project" launched by Facebook is possibly a prime example of man-machine bonhomie. The project seamlessly blends robots and humans in a means that it gets unlikely for the conclusion user to determine whether they're talking with a machine or maybe a living person. Automation is short to challenge the fabric of the traditional employment scenario. I think there's a need to refine present policymaking to be able to endure this transition. Definitive actions like dedicated investments in human capital (early childhood development) and drawing social contracts that are applicable to the new era should have the center stage and ensure economic development through the workforce of effective members within the society. In a world of growing worldwide worth chains, gig economies, and the dynamism of work, just through acknowledging this particular paradigm shift can we view the truth of people and robots working together a lot more carefully than ever before.

Scientist Suzanne Gildert's dream is to create robots that are indistinguishable from humans. She's already taken the first steps towards achieving it. After completing her PhD in quantum physics, Gildert took a job at Burnaby's D-Wave Systems, one of the world's premier quantum-computing companies. Much of her work was in machine learning and AI--a field that spurred her long-standing fascination with untangling the mysteries of the human mind. Four years later, Gildert--who had spent much of her free time building her own robots--decided to try something previously relegated to the pages of science fiction.

Merriam Webster: Definition of artificial intelligence a branch of computer science dealing with the simulation of intelligent behavior in computers the capability of a machine to imitate intelligent human behavior Techopedia explains Artificial Intelligence (AI) Artificial intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry. Research associated with artificial intelligence is highly technical and specialized. Artificial intelligence or AI refers to software technologies that make a robot or computer act and think like a human. Some software engineers say that it is only artificial intelligence if it performs as well or better than a human.

Democratizing innovation means that tools for users and consumers to engage in product design for customization are available and accessible [1]. Democratizing innovation can also lead to entirely new paradigms of expanding the typical profile of a manufacturer to also include those who operate micro-factories, leading to the prospect of having customized products built anywhere and anytime. Computing technology has created orders of magnitude efficiency in the product life cycle but the skills required to design products have been largely confined to those skilled in the art and science of design and making of things. If barriers to lowering skills needed to engage in product design are reduced, an increased expansion of the innovation ability of the consumer base will emerge [2-5]. Products can be designed by anyone and not necessarily limited to those skilled in engineering and industrial design.

As technology advances, particularly with artificial intelligence, changes are being seen in all industries. Health care is no exception. The prime reason for all sorts of technological advancements made throughout history are in one way or another is the desire of people to better their lives. This is particularly relevant to the natural human longing for longevity and eternal youth. Those two concepts are often heavily associated with having high living standards and better health care. Therefore, it is hardly a surprise that health care is among the areas that are mostly affected by the newest technologies, such as Artificial Intelligence and Big Data.

In more industrial situations, an AI system that can recognize different materials and grasp things more effectively without having to repeatedly try to pick up an object could bring new capabilities to a wide range of different processes and sectors. Handling extremely hazardous materials such as nuclear waste, for example, could be made far safer if a human were not required to control a robotic arm and a system could use image inputs to learn how best to pick up a container or even raw radioactive waste with a significantly reduced chance of dropping and spilling toxic material. In construction, autonomous lifting arms or those attached to vehicles could calculate the weight of an object based on its material and 3D images of, say, a steel girder. When digging or drilling to lay foundations, prepare a site, or laying underwater pipelines, ultrasonic images could be fed into the system and paired with tactile probe data to determine exactly where to drill in real-time without damaging existing infrastructure or delicate ecosystems.