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) …
Retail will increasingly adopt intelligent automation technologies, according to IBM's latest study released Tuesday at the National Retail Federation's 2019 Big Show. The study focuses on the convergence of humans and artificial intelligence (AI) in the retail industry, and specifically how automation can help reduce human error and improve the customer experience. The report surveyed 1,900 retail and consumer product representatives across 23 countries to determine how AI will revolutionize retail. When integrating AI into retail, manufacturers must remain transparent and secure to retain customer loyalty, as people can be wary of automation and other new technologies entering a sphere where it previously didn't exist, the report found. IBM identified the following six ways the retail industry plans on utilizing AI, based on respondents' feedback: "Retailers are increasingly using innovative technologies to offer new ways to shop both online and in-store and provide rewarding careers for employees," Mark Mathews, NRF vice president of research development and industry analysis, said in a Tuesday press release.
In a 2015 Reddit Ask Me Anything (AMA), the late Stephen Hawking warned of the extraordinary power of artificial intelligence (AI). "The real risk with AI isn't malice but competence," he wrote. "A superintelligent AI will be extremely good at accomplishing its goals, and if those goals aren't aligned with ours, we're in trouble." Since then, AI's presence and capabilities have expanded significantly -- and will continue to do so at exponential rates. As Hawking urged, humans must pursue AI with purpose and forethought.
Time to drive stakes in the ground about the year ahead. First, a brief look back to see if last year's predictions aged well. You can read them here. My predictions come with a lifetime guarantee: if you are not completely satisfied with them, I will return to you, in cash, the amount you paid to read them. It's hard to measure data science maturity, which makes this an excellent topic for predictions.
"It is a moment that happens, probably, every 25 years, it's an exponential moment when both, business and technology architectures change at the same time. This moment has a potential to change everything, and If you are able to learn exponentially, you become the disruptor instead of being disrupted." This is how the IBM Chairman, President and CEO, Ginni Rometty, began her speech at Think 2018 event, that took place last week in Las Vegas. It was inspirational, it was insightful, and it made those 30 000 attendees think how they use the data today and how AI can help to take better business decisions in the future. We also found out that only 20% of the data is searchable today, which means that there is a tremendous potential to explore the other 80% and to learn exponentially.
You are about to hear a speech supporting the idea that Gambling should be banned…" The 332-word speech arguing that gambling should be banned offered three reasons (with evidence) to support its case: "Gambling is addictive," "facilitates criminal activity," and "has ruined many individuals and families." The second speech--arguing that that gambling should not be banned--also provided three reasons. Regular readers of my column know that "the rule of three" is a fundamental component of persuasion. Overloading a listener with too much information at any one time makes it difficult for humans to process the content. Project Debater already knows it. Project Debater marks a major milestone toward understanding language. The AI system can complement human decision-making by bringing in facts and evidence in a persuasive, logical structure. By understanding people's opinions on different topics, politicians, public servants and business leaders can get a better understanding of what people think about a policy or corporate decision--and why they think the way they do.
IBM started their AI journey by implementing the technology into their HR departments. Recently, Nigel Guenole, PhD and Sheri Feinzig, PhD published a report on how IBM used AI in their HR departments and the impact of these projects; The Business Case for AI in HR. By using internal case studies, the report examines how AI was implemented throughout the employee lifecycle and the outcomes of these projects. An interesting aspect of the report is how AI has changed traditional HR process, including some unintended benefits. Attract: When looking for a job, most if not all job seekers use keyword searches on Google, job boards, and employer's websites.
Each time there's a natural disaster, we see the same scenario: Everyone from national government leaders and the military to the small-town mayor and scores of volunteers with big hearts and expertise come together to respond to the event. All those people, at every level, need to communicate, need to share information and need to coordinate their activities so that they're doing things efficiently and not duplicating their efforts. And many times, that doesn't happen effectively because people can't find or share the information they need, when they need it. We asked ourselves why – with all the advances in technology like GPS, ubiquitous cell phones and instant communications across so many channels – do disaster relief operations still look like those of 20 or 30 years ago? Lightship has a field operations platform to help organizations navigate their data to find the necessary information to help them make better, safer decisions.
Major companies are investing in machine learning-powered approaches to improve all aspects of manufacturing. Firms are using this technology to bring down labour costs, reduce product defects, shorten unplanned downtimes, improve transition times, and increase production speed. Artificial intelligence will help drive the fourth industrial revolution – Industry 4.0 – with machine learning and deep learning rapidly becoming mainstream technologies. Recent developments and partnerships have shown how IBM, Microsoft and SAP, among others, are exploring the future of manufacturing. The mission of the Europe-based Korea Institute of Science and Technology (KIST) is contributing towards globalisation of Korean research and innovation by building an open platform where notable South Korean and European institutions and industrial partners can collaborate.
IBM sent its AI to Las Vegas this week to argue with people. And, since arguing is something humans do well, the company wants your help. 'Project Debater – Speech by Crowd,' as IBM calls it, is a "new and experimental cloud-based AI platform for crowdsourcing decision support." It solicits arguments for and against a specific topic from as many humans as possible and then uses them to create debate speeches. The project is a work in progress for IBM, but the company hopes to eventually unveil a system capable of engaging humans in unbiased debate.
People are scared of the unknown. So naturally, one reason why artificial intelligence (AI) hasn't yet been widely adopted may be because the rationale behind a machine's decision-making is still unknown. How can decisions be trusted when people don't know where they come from? This is referred to as the black box of AI--something that needs to be cracked open. As technology continues to play an increasingly important role in day-to-day life and change roles within the workforce, the ethics behind algorithms has become a hotly debated topic.