Many experts believe that the era of the self-aware AI is still far ahead in the future. They say that robotic sentience is still highly theoretical and needs ongoing research. However, several technologists and roboticists have claimed to having developed sentient machines. So, we have to ask, is it really that far off in the future? Or, has the so-called experts just been remiss in agreeing on standards to define true robotic sentience?

In recent years, the field of machine learning has experienced exponential growth and become one of the most exciting and transformative areas of technology. From self-driving cars to personalized healthcare, machine learning is powering innovations that are revolutionizing the way we live, work, and interact with each other. At its core, machine learning is the science of getting computers to learn and improve from data without being explicitly programmed. In other words, it's about teaching machines to think for themselves and make decisions based on patterns and insights found in vast amounts of data. But how does it all work?

This report covers results from the 15th "Future of the Internet" canvassing that Pew Research Center and Elon University's Imagining the Internet Center have conducted together to gather expert views about important digital issues. This is a nonscientific canvassing based on a nonrandom sample; this broad array of opinions about the potential influence of current trends may lead between 2022 and 2035 represents only the points of view of the individuals who responded to the queries. Pew Research Center and Elon's Imagining the Internet Center sampled from a database of experts to canvass from a wide range of fields, inviting entrepreneurs, professionals and policy people based in government bodies, nonprofits and foundations, technology businesses and think tanks, as well as interested academics and technology innovators. The predictions reported here came in response to a set of questions in an online canvassing conducted between June 29 and Aug. 8, 2022. In all, 540 technology innovators and developers, business and policy leaders, researchers and activists responded in some way to the question covered in this report. More on the methodology underlying this canvassing and the participants can be found in the section titled "About this canvassing of experts." Advances in the internet, artificial intelligence (AI) and online applications have allowed humans to vastly expand their capabilities and increase their capacity to tackle complex problems. These advances have given people the ability to instantly access and share knowledge and amplified their personal and collective power to understand and shape their surroundings. Today there is general agreement that smart machines, bots and systems powered mostly by machine learning and artificial intelligence will quickly increase in speed and sophistication between now and 2035.

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.

Industry 4.0 has taken manufacturing to the next level, handing processes over to technology, smart machines, and artificial intelligence (AI). These transformations often happen in isolation, creating siloed environments that miss the bigger purpose of digitalization. But when a company connects data among people, programs, and processes, the sum creates a digital factory. A digital factory represents far more than the physical process of making things: It's a concept in which the factory itself figures into the equation. The goal of a digital factory is to optimize manufacturing processes and the environment that houses them. Despite the acceleration of digital transformation, the World Economic Forum found that 62% (PDF, p. 10) of manufacturing companies have digitized only one product line, which means they've gained a fraction of the data that's possible with Industry 4.0.

Artificial Intelligence – smart machines able to "learn" how to carry out tasks and become increasingly good at them – is everywhere in work today, and will only be more ubiquitous tomorrow. In fact Google's CEO Sundar Pichai recently predicted that it will turn out to be the most profound human invention so far – more so that electricity, the internet, or even fire! Certainly, I believe it has the potential to deeply impact everything about the way we live our lives, from how we travel, to how we connect and communicate with friends, and most definitely the way we work and do business. Whatever job you do now, if it isn't affected by AI already, it's very likely that it will be at some point in the not-so-distant future. Here's my rundown of the five most significant changes AI will make to the world of work in our lifetimes.

This decoupling had baleful economic and social consequences: low paid, insecure jobs held by non-college workers; low participation rates in the labor force; weak upward mobility across generations; and festering earnings and employment disparities among races that have not substantially improved in decades. While new technologies have contributed to these poor results, these outcomes were not an inevitable consequence of technological change, nor of globalization, nor of market forces. Similar pressures from digitalization and globalization affected most industrialized countries, and yet their labor markets fared better."

The fourth industrial revolution – the term coined by Klaus Schwab (Founder and Executive Chairman of World Economic Forum) has been around for a long time now. Radical changes in how products are developed, manufactured, sold and shipped; human workforce being replaced by machines that are augmented with web connectivity and the pervasive inclusion of automation, artificial intelligence, IoT and the like in everyday life can all be attributed to the emergence of Industry 4.0. Even though majority of manufacturers find challenging to utilize these technologies without facing scalability issues, a significant number of them are already reaping the benefits. Many are now relying on the promise of 5G and Internet of Things for high bandwidth, low latency and seamless communication for effective utilization of resources. The solutions this kind of connectivity offers are vast – sensors, cloud robotics, centralized tracking of goods, remote quality inspection, automated factory floors etc. Even better, it can enable the evolution of a global ecosystem of smart manufacturing centers.

As businesses fuse AI and robotics to unlock their competitive edge, vision and strategizing are key not just to success, but also to survival. The term "hyperautomation," unknown just several years ago, has now become a part of everyday tech jargon. Gartner coined the term in 2020, naming it one of the year's top strategic technology trends. The research giant recently upped the ante, publishing its forecast that the hyperautomation-software market will reach nearly $600 billion by 2022. In fact, "Hyperautomation has shifted from an option to a condition of survival," according to Gartner's vice president of research, Fabrizio Biscotti.

As a marketer who also dabbles in social media, I am no stranger to the backlash typically associated with AI technology. While it offers incredible potential, many feel AI is out to replace people and take their jobs, but that is far from the truth. AI is here to help us do our jobs better, and let's not forget that it also creates new jobs within the tech sector. Artificial intelligence exists to work with human intelligence to achieve preferred outcomes more efficiently. You don't need me to tell you about how AI has disrupted industries such as ecommerce and customer service -- that's obvious, and there are a couple thousand articles that go into those details.