Benefits & Risks of Artificial Intelligence

Use innovation to grow your business The successful exploitation of new ideas is crucial to a business being able to improve its processes, bring new and improved products and services to market, increase its efficiency and, most importantly, improve its profitability. Marketplaces - whether local, regional, national or global - are becoming highly competitive. Competition has increased as a result of wider access to new technologies and the increased trading and knowledge-sharing opportunities offered by the Internet. This guide explains how you can make innovation a key business process and outlines the different approaches you can take.

The big conversations on AI and design at SXSW 2018 – by Jason Napolitano As thousands descended upon South by Southwest (SXSW) this year to catch a glimpse of the interactive industry’s biggest leaders, McKinsey and QuantumBlack were pleased to take part in some of the most engaging conversations in data science, design, and artificial intelligence. As in past years, Artificial intelligence (AI) continues to emerge as a key issue as businesses and consumers wrestle with its perceived value and underlying threats. The conversation at SXSW focused on how we need to rethink our processes, examine underserved groups, and be realistic about expectations of AI. We contributed to discussions in three areas of particular importance: 1) providing inclusive ways to solve complex problems; 2) expanding the skill set of empathy and design with data; and 3) understanding the nuance of AI’s impact. Providing inclusive ways to solve complex problems

7 Ways An Artificial Intelligence Future Will Change The World “[AI] is going to change the world more than anything in the history of mankind. More than electricity.”— AI oracle and venture capitalist Dr. Kai-Fu Lee, 2018 In a nondescript building close to downtown Chicago, Marc Gyongyosi and the small but growing crew of IFM/Onetrack.AI have one rule that rules them all: think simple. The words are written in simple font on a simple sheet of paper that’s stuck to a rear upstairs wall of their industrial two-story workspace. What they’re doing here with artificial intelligence, however, isn’t simple at all.

AI, Machine Learning, and Deep Learning Explained Artificial intelligence is no longer just evolving nomenclature in IT. With the technology’s recent progress, organizations of all shapes and sizes are taking interest. With the mainstream press and industry analysts from every corner weighing in, it is worth taking stock of the technology and learning how to differentiate between three arguably over-hyped terms: machine learning, artificial intelligence (AI), and deep learning. It’s best to consider the concentric model depicted in the figure below.

4 Common Challenges Faced By Tech Entrepreneurs and How To Get Around Them February 2, 2016 4 min read Opinions expressed by Entrepreneur contributors are their own. You're reading Entrepreneur India, an international franchise of Entrepreneur Media. The future is an unpredictable time frame – everything we can assume about economics, culture, tastes, trends and growth/loses can dramatically change. Even industries can experience a dramatic change in their functioning, sales, marketing and practically every aspect of their existence. However, if in this dramatic economy, if there’s one field that is sure to constantly stay in profits if it keeps up a good pace of upgradation, it is the technology department.

Sizing the potential value of AI and advanced analytics An analysis of more than 400 use cases across 19 industries and nine business functions highlights the broad use and significant economic potential of advanced AI techniques. Artificial intelligence (AI) stands out as a transformational technology of our digital age—and its practical application throughout the economy is growing apace. For this briefing, Notes from the AI frontier: Insights from hundreds of use cases (PDF–446KB), we mapped both traditional analytics and newer “deep learning” techniques and the problems they can solve to more than 400 specific use cases in companies and organizations.

Artificial Intelligence Courses - Learn AI Online What is Artificial Intelligence (AI)? Artificial Intelligence is the ability of machines to seemingly think for themselves. AI is demonstrated when a task, formerly performed by a human and thought of as requiring the ability to learn, reason and solve problems, can now be done by a machine. A prime example is an autonomous vehicle. The vehicle is able to perceive its surroundings and make decisions in order to safely reach its destination with no human intervention. Converging technologies along with Big Data and the Internet of Things (IoT) are driving the growth of AI. A brief history of AI - Internet of Ideas Artificial Intelligence is often referred to as “Al”. What is the best way to explain a complex concept as the Arificial Intelligence ? to use the words of Douglas Hofstadter: “The best way often, when I try to explain what is meant by the term, I say that the letters “AI” could just as well stand for “Artificial Intuition”, or even “Artificial Imagery”. The aim of Al is to get at what is happening when one’s mind silently and invisibly chooses, from a myriad alternatives, which one makes most sense in a very complex situation. In many real-life situations, deductive reasoning is inappropriate, not because it would give wrong answers, but because there are too many correct but irrelevant statements which can be made; there are just too many things to take into account simultaneously for reasoning alone to be sufficient.”

What Are the Biggest Challenges Tech Start-up Entrepreneurs Are Facing in 2017 The startup world is all about the survival of the fittest. That’s why more than 80% of new companies fail in the first ten years of their existence. The first business development phases are usually the toughest. That’s when entrepreneurs need to make their offer stand out, maintain a solid cash flow and reinvest money in developing their business operation. During this time, companies are facing many challenges.

Will artificial intelligence make you a better leader? Agile leadership and AI both depend on learning to let go. Consider this real-life scene: Reflecting on the difficult moments of his week, the new CEO of a UK manufacturer felt angry. His attention kept going back to the tension in several executive-team meetings. A.I. - The Movie: Robot Love Spielberg's latest movie: Artificial Intelligence is about a new age possibility - synthetic love. The idea for the movie came from a 1969 short story by Brian Aldiss - Supertoys Last All Summer Long. Stanley Kubrick (2001: A Space Odyssey, ’68 the movie with HAL the computer) worked on this material for 15 years, before passing it on to Steven Spielberg before he died. The movie is set in the future - global warming has drowned the world's coastlines, but life is pleasant in the small high-tech, cloistered suburbs where elite human survivors live, thanks to the exploitation of “mechas” - humanoid robots of all types. A young couple whose only son is stricken with a fatal disease but is cryogenically preserved, awaiting a cure, is offered a lifelike, humanoid son, David - played by Haley Joel Osment (Sixth Sense - “I see dead people”).

Deep Learning When Ray Kurzweil met with Google CEO Larry Page last July, he wasn’t looking for a job. A respected inventor who’s become a machine-intelligence futurist, Kurzweil wanted to discuss his upcoming book How to Create a Mind. He told Page, who had read an early draft, that he wanted to start a company to develop his ideas about how to build a truly intelligent computer: one that could understand language and then make inferences and decisions on its own. Invalid External ID It quickly became obvious that such an effort would require nothing less than Google-scale data and computing power.

Let's talk about digital inclusion When we talk about this definition, we immediately think about large companies and their Foundations’ philanthropic actions. However today the topic of digital inclusion goes right to the heart of our businesses and their development priorities. It’s a major subject that involves everyone working across public and private sectors. Within the Orange Group, each entity has its own approach for contributing to digital inclusion: by simplifying access to connectivity and planning tomorrow’s networks, while maintaining our current global networks, creating and developing learning initiatives for using digital services, supporting entrepreneurships and start-ups, as well as promoting innovation. Digital inclusion: going beyond the clichés Digital technology can be seen as an accelerator of the “power to act” in our society, allowing everyone to have a positive impact and contribute to daily life as an individual and within a collective.

How Artificial Intelligence (AI) Will Reshape Companies, Industries, and Nations: An Interview with Kai-fu Lee We hear all sorts of extreme predictions about the possibilities for AI. How do you think AI will reshape companies? How will it change what a company is and does?