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) …
Conventional thinking in business has long been that strategic decisions are made by humans, while the focus of automation and machine learning should be on execution. With the speed of change and volume of market feedback today, as well as the advances in machine learning, Amazon, Alibaba, and others have proven the value of software-driven strategy decisions. For example, most e-commerce platforms today offer millions of products, with a changing mix daily and a changing market, such that it's virtually impossible to manually predict a strategy for mapping customer demographics to products displayed online. Only smart software can plow through the volume of live data, recognizing trends, customers, and match offerings to reality. Alibaba, today the counterpart in China to Amazon, eBay, and Google here, has demonstrated leadership in this area and provides guidance for all of us to learn from in a new book, "Smart Business," by Ming Zeng.
Google is eager to invest in other insurance technology companies well beyond its newly announced minority stake in Applied Systems, a principal investor with the global search engine giant said on Oct. 17. "We really like the market," said Jesse Wedler, a principal with CapitalG, the growth equity investment fund of Google's parent Alphabet. "We will definitely be looking for additional investments in the insurance technology space." Wedler, speaking during a second conference call held to discuss CapitalG's new investment in Applied, said he didn't want to define the scope of CapitalG's insurance technology investment search "too narrowly." However, he said the search would be for other businesses like Applied, ones "that add insurance technology to the market."
That's what the HR AI hype seems to be saying. The reality is this: Even as straight-shooting vendor reps and analysts expound on the advantages that AI brings to HR technology, a number of them caution that the idea of incorporating true AI into HR software is a long-term proposition. In fact, many professionals believe the state of AI in HR should be viewed in context. Today, they contend, machine learning and other areas of AI are primarily used for advanced data analysis and automation. In the long term, they have no doubt AI will have an enormous impact on human capital management (HCM) but predict its evolution will be both lengthy and complicated.
Trust is a foundational building block of human socio-economic dynamics. In software development, during the last few decades, we steadily built mechanisms for asserting trust on specific applications. When we get on planes that fly on auto-pilot or cars completely driven by robots we are intrinsically expressing trust on the creators of a specific software application. In software, trust mechanisms are fundamentally based on the deterministic nature of most software applications in which their behavior is uniquely determine by the code workflow which makes it intrinsically predictable. Recently, researchers from IBM proposed a new methodology for establishing trust in AI systems.
Data and tech expects share their takes on the current A.I. revolution A push for a global agreement on autonomous weapons is stalled, much to the chagrin of advocates who believe a treaty is urgently needed. Fully autonomous cars are years away, but it's the automobile where artificial intelligence could have a critical role for the greatest number of people. Artificial intelligence has its own insider jargon. Here are some crucial concepts and terms, defined and digested for the rest of us. From Singapore to Israel, countries besides the United States and China are striving to play a role in the field of artificial intelligence.
If you're looking for it, there is plenty of bad news in the tech world. From concerns about hacking and identity theft to a 2017 survey out of England that ranked Instagram as "worst for young people's mental health" compared to four other social platforms, it can be enough to make you want to become a Luddite. But the other side of the issue might be able to put a smile on your face: Tech companies and researchers are turning to AI and other software to try to solve just about any problem you can think of, from identifying fake news, to noticing if someone falls, to looking for ways to speed up the amount of time an MRI scan takes. Some companies are building software to help you change your thoughts for the better or even analyze a voice for signs of depression. For example, Woebot is a cute chatbot app designed to be an on-call emotional helper.
In 2003, Mother Nature turned off the lights on the East Coast. The reason: a short circuit a hot summer day caused on by a chance encounter between an overgrown tree branch and a sagging power line. The problem quickly cascaded through the system, triggering the biggest blackout in North American history. The outage left 50 million people in the U.S. and Canada without power and by some estimates cost more than $6 billion. But the truth is, most people don't give much thought to our electrical grid until something goes wrong.
So far, the impact of information technology on overall productivity has been a mixed bag, and even disappointing. IT has been reshaping workplaces in a big way since the 1980s, yet, there appears to be little to show for all this progress -- many argue that technology may even inhibit productivity growth. There are many reasons why the proliferation of technology doesn't automatically translate to productivity growth. For one, "technological disruption is, well, disruptive," Harvard's Jeffrey Frankel observed in a recent World Economic Forum report. "It demands that people learn new skills, adapt to new systems, and change their behavior. While a new iteration of computer software or hardware may offer more capacity, efficiency, or performance, those advantages are at least partly offset by the time users have to spend learning to use it. And glitches often bedevil the transition."
Payroll, which includes employees and their salaries or wages, can be defined as the amount of money a company pays its workers. However, the process is not that simple. Human resource details like employee benefits, salaries and records all fall under payroll, and organizing each employee's file can be difficult. But as technology advances, payroll is becoming a more seamless process. This is great news for small businesses that struggle to manage human resources.
IMAGE: Andrew Trapp, an associate professor in the Foisie Business School at Worcester Polytechnic Institute (WPI), and PhD student Narges Ahani are working on an NSF-funded grant to develop software to... view more Built upon ongoing work with an international team of computer scientists and economists, the tool integrates machine learning and optimization algorithms, along with complex computation of data, to match refugees to communities where they will find appropriate resources, including employment opportunities. "There is a great deal of information to consider when helping a refugee begin a new life in the United States," said Trapp, associate professor in the Foisie School and lead investigator for the project. "It is a labor-intensive process whose ultimate goal is to help a refugee land in a place where he or she has as many opportunities as possible to successfully integrate and contribute to the community. Technological solutions can have a profound societal impact." Each year, tens of thousands of refugees--many fleeing war, violence, and persecution--are resettled in dozens of host countries around the world.