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) …
As a teenager working for his dad's construction business, Noah Ready-Campbell dreamed that robots could take over the dirty, tedious parts of his job, such as digging and leveling soil for building projects. Now the former Google engineer is turning that dream into a reality with Built Robotics, a startup that's developing technology to allow bulldozers, excavators and other construction vehicles to operate themselves. "The idea behind Built Robotics is to use automation technology make construction safer, faster and cheaper," said Ready-Campbell, standing in a dirt lot where a small bulldozer moved mounds of earth without a human operator. The San Francisco startup is part of a wave of automation that's transforming the construction industry, which has lagged behind other sectors in technological innovation. Backed by venture capital, tech startups are developing robots, drones, software and other technologies to help the construction industry to boost speed, safety and productivity.
Smart machines tend to elicit both awe and deep anxiety. This is especially true in health care, where people's hopes and fears tend to get magnified quickly. Consider three issues that get a lot of attention: the use of medical records, the "human touch" in medical care, and the future of jobs in the industry. On balance, are people more glass half-full or half-empty? Our research points to an optimism that may surprise expert observers.
The expression, "Marketers are data rich and insight poor" is more true today than ever. Marketers all over the world are working to optimize marketing operations and effectiveness using their abundance of data. Many are turning to tools and platforms powered by artificial intelligence and machine learning. AI promises to make sense of all the dark data companies are sitting on as well as structured and unstructured data online to surface insights about customer behaviors, opportunistic content and emotional triggers to inspire conversions. In an age of too many choices, increased competition for customer attention requires every advantage to optimize for reach, engagement and conversion.
Freebies have never lost luster and attraction. These days it is all about the value you can get for your money. For the startup world that actually means a lot. Imagine the most fragile time of your life, as an entrepreneur it means everything that matters to you, is the fact that your life depends upon the successful launch of your company. You are a builder, a dreamer and a doer, the only thing that you lack at this stage is resources.
"AI," "big data," and "machine learning" are all trending buzzwords, and you might be curious about how they apply to your domain. You might even have startups beating down your door, pitching you their new "AI-powered" product. So how can you know which problems in your business are amenable to machine learning? To decide, you need to think about the problem to be solved and the available data, and ask questions about feasibility, intuition, and expectations. Machine learning can help automate your processes, but not all automation problems require learning.
TechRepublic's Dan Patterson and Daniel Scarvalone, director at Bully Pulpit Interactive, talk about how automation will be the key to the future of politics and policy. Dan Patterson: What role will AI machine learning and automation play this year and in the future? Dan Scarvalone: Machine learning has always played a role in campaigns, and the way marketers more sift through data available on current and potential customers, to figure out, "who should we be speaking to, and what should we be saying to them?" The real growth will be in the ways we use machine learning to marry with the political intuition we know, and the marketing intuition we know, regarding the best way to achieve a goal. We'll find more ways to apply decision making to each and every way a candidate spends its time.
Tencent, Alibaba, Baidu and JD.com from China are in a global competition with Google/Alphabet, Apple, Facebook, Walmart and Amazon from the USA and SoftBank from Japan. All are agressively searching for talent, intellectual property, market share, logistics and supply chain technology, and presence all around the world. These leading tech-savvy companies have many things in common. Foremost, they are all in pursuit of global growth and the funding, technology and talent to propel that growth. And they all are investing in voice assistance and other forms of AI and robotics.
This post is an initial analysis of opportunities in Artificial Intelligence (AI) as early systems start to come into range of being useful to enterprises other than the big data analytics based businesses like Google and Facebook. To say the sector is overhyped is putting it mildly, but there are some babies among the frothy bathwater, but hopefully we can sort the wheat from the crap. Maybe a better term for AI is "Automated Intelligence" – essentially it is just another wave of (digital) automation, chipping away at "white collar" knowledge work, just at the next level up compared to the previous waves.
Future Tense is a partnership of Slate, New America, and Arizona State University that examines emerging technologies, public policy, and society. "When I was 16, I took a 30-minute test, someone gave me a license, someone else gave me a car. In hindsight, that doesn't seem like the most prudent thing," said Tekedra Mawakana, vice president of global government relations and public policy for Waymo, at a recent Future Tense event when asked how Waymo, which was founded as a Google X moonshot project in 2009 to combat road fatalities, could already have driverless cars on the roads of cities like Phoenix. "There will always be highly unanticipated scenarios, but that's what we're building for." But even with millions of miles (billions if you count simulations) and billions in investment funding, the driverless future being unleashed by companies like Waymo, Lyft, and Uber still raises more questions than answers for the city planners who will be responsible for incorporating the technology into existing urban-transit infrastructures.
As we become part of the following advanced age, the age of artificial intelligence (AI), it's not a surprise anxiety typically overviews the mainstream story. Worry of enormous task loss and also millions out of work as AI as well as robotics are applied on an international range. Yet as the Chief Executive Officer of Mondo, a particular niche technology as well as electronic advertising staffing firm, I picture this future as one of significant task development as well as chance. This future, nonetheless, is just feasible if we interact to direct AI as well as robotics innovation properly throughout all markets. To see evidence of why AI will not take all our tasks, you just have to check out background.