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) …
Business consultant group Cognizant predicts in its book'What to do when machines do everything' that there will 21 million new jobs created as a direct result of AI and new technologies. Here are five job listings of the future to get a head start picking your post-robot career MASTER OF EDGE COMPUTING This job is for an imaginary Fortune 500 company that has realized its current IoT infrastructure is no longer going to cut it. The Edge "Master" would be responsible for overhauling the current "wheel-and-spoke" internet infrastructure into a decentralized one that utilizes edge computing. This is necessary for a corporation of the future that needs more space and processing capabilities for its massive data volumes. QUANTUM MACHINE LEARNING ANALYST This is a job for a whole different type of analyst.
The age of Big Data has reached an all new high as disruptive and innovative digital technologies push businesses to adapt quickly in a rapidly changing consumer market. The capabilities and agility of big data combined with the scale of artificial intelligence is helping businesses across industries to understand evolving consumer behaviour and preferences, gain business intelligence and apply valuable insights when creating strategies. The convergence of big data and AI is the most significant development for businesses across the globe, enabling them to capitalise on hitherto unexplored opportunities. A major factor accentuating the importance of big data is also the massive volume of, and speed at which data is created through digital technologies and devices, providing businesses with real-time access to information from far more number of sources than ever before. As the driving force of several industries in 2017, the scale and growth of artificial intelligence in 2018 is expected to be even more greater.
We are entering a new era of commerce fueled by younger consumers, mobile devices and high demand for more personalized shopping experiences. Millennials are now the largest generation in the U.S. workforce, and their income and buying power are rising. This generation, along with the next tide of digital natives, is putting pressure on enterprises to deliver customer service with the usability and simplicity of consumer apps, and without the inconvenience of phone calls. Companies are investing in artificial intelligence (AI) technology that can provide these experiences through bots, thus ensuring that customers get what they need -- when, how and where they like. Although AI is a solution to customer service problems, intelligent automation is difficult and expensive to develop.
The artificial intelligence (AI) sector attracted US$30 billion in investments worldwide last year. China alone spent US$8 billion in the AI space. The staggering figures highlighted the rapid growth of the data industry and value recognition of big data and AI. It's widely expected that AI will bring huge efficiency benefits to many industries. For instance, big data can be utilized in retail not only for predicting and analyzing sales.
To learn more about applying data science to your business, check out the machine learning sessions at the Strata Data Conference in San Jose, March 5-8, 2018. The promises of AI are great, but taking the steps to build and implement AI within an organization is challenging. Core to addressing these challenges is building an effective AI platform strategy--just as Facebook did with FBLearner Flow and Uber did with Michelangelo. Often, this task is easier said than done. Navigating the process of building a platform bears complexities of its own, particularly since the definition of "platform" is broad and inconclusive.
Intel's Bob Rogers explains the possibilities that emerge as AI progresses beyond standard machine learning. DeepMind's self-taught Go champion is just the beginning. DeepMind, the division of the Alphabet conglomerate that is devoted to artificial intelligence, recently announced that its Go-playing AI, called Alpha Go, had evolved into a new iteration it calls AlphaGo Zero. The reason for the zero is that the new version is capable of teaching itself how to win the game from scratch. "Zero is even more powerful and is arguably the strongest Go player in history," according to the DeepMind announcement.
If you have ever played a video game, no matter what era you played it in, you have interacted with artificial intelligence. Regardless of whether you prefer race-car games like Gran Turismo, strategy games like God Of War, or shooting games like Call Of Duty, you will always find elements controlled by AI. Even things that you don't think would be AI controlled, are! AIs are often behind the characters you typically don't pay much attention to, such as enemy creeps, neutral merchants, or even animals and other background characters. When it comes to video games, artificial intelligence has grown leaps and bounds, allowing us to have some of the most realistic gameplay experiences yet.
The investment Banking Industry is in the state flux. Digital revolution, increased regulation, and seismic shifts, the industry is now aware of the threat that they have been trying to stay ahead. Everyone knows the era of transformation has been underway for over a decade now. Technology now serves as Value proposition in Capital Markets Industry. What is the digital disruption that is affecting banking and other financial services?
Aaron Levie, CEO of Box, agrees that AI development will lead to unfounded innovation in a variety of sectors, which will ultimately increase job opportunities. "If you look at human history, any time there has been some major technological innovation, you ultimately have some significant increase in productivity that then creates the need for a new set of industries, a new set of jobs," says Levie. Chuck Edward, Microsoft's head of global talent acquisition, confirmed that artificial intelligence is one of the most in-demand industries in an interview with CNBC Make It and a quick google search shows hundreds of open positions within the company. IBM has also revamped its hiring practices in order to find fresh talent to fill these new AI roles. Joanna Daly, IBM's vice president of talent, tells CNBC Make It that the company will now now be focusing on skill-based hiring rather than education level.
Blockchain, Bitcoin and Artificial Intelligence may be buzzwords, but it's important for corporates, startups, and individuals to make sense of these technologies of the future. A startup founder comes up and says, "I invested Rs 40,000 in Bitcoin; it has now doubled." Two days later, a friend says, "I want to invest my savings in Bitcoin." This is followed by an engineer, asking: "Will artificial intelligence take away my job?" There is a lot of science fiction in parallel to realities that encompass Blockchain, Bitcoin and Artificial Intelligence.