If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
What is Augmented Intelligence and why should you care about it? The AI market is projected to grow to $190Billion by 2025. AI is being used in every industry and is projected to be a core skill for the future. So why is there a new AI? Augmented intelligence refers to the idea that humans and artificial intelligence combined can create better results than either alone.
The idea of artificial general intelligence as we know it today starts with a dot-com blowout on Broadway. Twenty years ago--before Shane Legg clicked with neuroscience postgrad Demis Hassabis over a shared fascination with intelligence; before the pair hooked up with Hassabis's childhood friend Mustafa Suleyman, a progressive activist, to spin that fascination into a company called DeepMind; before Google bought that company for more than half a billion dollars four years later--Legg worked at a startup in New York called Webmind, set up by AI researcher Ben Goertzel. Today the two men represent two very different branches of the future of artificial intelligence, but their roots reach back to common ground. Even for the heady days of the dot-com bubble, Webmind's goals were ambitious. Goertzel wanted to create a digital baby brain and release it onto the internet, where he believed it would grow up to become fully self-aware and far smarter than humans.
In Yeshiva University's engineering-focused M.S. in Artificial Intelligence (AI), offered by the Katz School of Science and Health, students will learn the key skills most valued in today's marketplace, including machine learning and deep neural networks, along with cutting-edge technologies such as reinforcement learning, voice recognition and generation, and image recognition and generation. In the program's project-based courses, students will build systems, models and algorithms using the best available artificial intelligence design patterns and engineering principles, all done in the heart of Manhattan, a global epicenter for artificial intelligence work and research. Prof. Andrew Catlin is the program director for the AI program, with a background as a data scientist and production systems developer who has worked with such major clients as Fidelity Investments; Smart Money; Donaldson, Lufkin and Jenrette; Manufacturers Hanover Trust; and the National Football League. He is also a founder of multiple tech startups, including Hudson Technology and Metrics Reporting. He teaches graduate courses in recommender systems, natural language processing and neural networks, among others.
This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.
There seems no end to the plethora of software solutions suddenly seeming to have acquired the quality of artificial intelligence (AI). Little more than a decade after phones reportedly grew "smart," you might now be wondering whether technology had crossed yet another historic threshold. For those of us who grew up watching 2001 A Space Odyssey and Knight Rider, the concept of non-human intelligence--whether benevolent or malevolent--is nothing new. Not only does science fiction fuel our expectations, it has often demonstrated an uncanny ability at predicting real life technological advancements. Is the age of artificial intelligence now upon us?
For a worker losing his or her job to automation, knowing that an AI programming job is being created elsewhere is of little solace. "Instead, we believe that--like all previous labor-saving technologies--AI will enable new industries to emerge, creating more new jobs than are lost to the technology," the report's authors, led by Thomas Malone, director of the MIT Center for Collective Intelligence, conclude. "Though these technologies will eliminate some jobs, they will create many others," the report's team of authors, led by BCG's Rainer Strack. "For example, eliminating 10 million jobs and creating 10 million new jobs would appear to have negligible impact. Computers tend to perform well in tasks that humans find difficult or time-consuming to do, "but they tend to work less effectively in tasks that humans find easy to do," the report notes. For a worker losing his or her job to automation, knowing that an AI programming job is being created elsewhere is of little solace. "Instead, we believe that--like all previous labor-saving technologies--AI will enable new industries to emerge, creating more new jobs than are lost to the technology," the report's authors, led by Thomas Malone, director of the MIT Center for Collective Intelligence, conclude. "Though these technologies will eliminate some jobs, they will create many others," the report's team of authors, led by BCG's Rainer Strack. "For example, eliminating 10 million jobs and creating 10 million new jobs would appear to have negligible impact.
Kustomer announces today that it was named a winner in the Business Intelligences' Artificial Intelligence Excellence Awards program. The company's top-rated customer service CRM platform leverages AI extensively to help industry-leading businesses orchestrate unified, on-demand experiences that create customers for life. "Customer service organizations played a pivotal role during the pandemic as they became a lifeline for customers dealing with uncertainty. Our AI-powered platform also became a lifeline for businesses, helping them keep up with customer concerns and prevent issues before they arose," said Brad Birnbaum, founder and CEO, Kustomer. "I'm incredibly proud that our team is being recognized by Business Intelligence Group for our innovation and ability to deliver tools that our customers need."
Most experts have settled on a description of Artificial Intelligence as being the scientific endeavor of building computers that mimic the capabilities of the human brain. To put that into perspective, we know that Human Intelligence started to evolve 7–8 million years ago when our oldest ancestors had a brain volume of about 450 cubic centimeters. In the next 3.5 million years our ancestors' brain volume increased to about 1350 cubic centimeters. Modern humans (average brain volume of about 1200 cubic centimeters) evolved from the Homo Sapiens species during a period of dramatic climate change 300,000 years ago. Like other early humans that were living at this time, they gathered and hunted food, and evolved behaviors that helped them respond to the challenges of survival in unstable environments.
Changes in purchasing behavior and the multitude of contact channels have exploded the volume of data available to brands. The challenge for marketing today is to be able to take advantage of this quantity of data in order to enrich its strategy. Artificial Intelligence therefore appears to be a response to this challenge as it makes it possible to process large quantities of data. Thanks to this new technology, companies can now benefit from more relevant analyzes and information. Among the benefits of this technology, campaigns can be optimized and better oriented thanks to better customer knowledge and anticipation of future trends.