Ability to quickly learn how to use software applications.

Me: "Alexa, tell me what will happen in 2020." Amazon AI: "Here's what I found on Wikipedia: The 2020 UEFA European Football Championship…[continues to read from Wikipedia]" Me: "Alexa, give me a prediction for 2020." Amazon AI: "The universe has not revealed the answer to me." Well, some slight improvement over last year's responses, when Alexa's answer to the first question was "Do you want to open'this day in history'?" As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools. And there will be even more 2020 AI predictions, in a second installment to be posted here later this month. "Vehicle AI is going to be ...

The mission of Ocean Protocol is to unlock data for more equitable outcomes, using a thoughtful application of both technology and governance -- notably to advance the creation of Artificial Intelligence. One of our high-level steps towards achieving that goal over the past year has been the development of our Commons Marketplace, and it is critical that this influx of new data be used for good, to solve some of our planet's most critical problems. The United Nations see the use of AI for Good as a key tool towards reaching their Sustainable Development Goals (SDGs) -- a collection of 17 ambitious global goals to achieve by the year 2030. Every year in May, the United Nations hosts the annual AI for Good Summit in Geneva, Switzerland. Now on it's 3rd year, Ocean Protocol was honoured to be invited back after an impactful visit last year.

When it recently launched a new weather model called IBM GRAF, The Weather Company took a big supercomputing step forward. IBM GRAF, with its ability to process weather data from a variety of sources worldwide, enables The Weather Company, an IBM Business, to deliver high-resolution, hourly-updated forecasts around the globe--particularly to regions that have never had them before. But the full power of IBM GRAF to generate local forecasts for the entire world depends on technology that The Weather Company already had in place and is continually refining: artificial intelligence (AI) and cloud computing. When a series of winter storms recently lashed much of the United States, millions of people used The Weather Channel mobile app and weather.com Sophisticated AI algorithms from The Weather Company turn troves of current and historic weather data into recommendations, for example, that can tell an electric utility company where to trim trees to prevent blackouts before the next storm hits.

Artificial intelligence in autonomous systems (i.e., drones) can address human error and fatigue issues, but also, in the future, concerns over ethical behaviour on the battlefield. Installing an algorithmic "moral compass" in AI, however, will be challenging. A common theme among many discussions concerning the military uses of artificial intelligence (AI) is the "Skynet" trope: the fear that AI will be self-aware and decide to turn on its masters. Inherent in this argument is the contention that AI does not share the same ethical constraints that humans do. While almost certainly an over-exaggeration, the Skynet scenario does highlight the problem of ensuring that the ethical behaviour we believe is incumbent on humans in combat is not lost as we increasingly devolve battlefield decision-making to autonomous systems.

Leaders in the AI community came together to release the 2019 AI Index report today, an annual attempt to examine the biggest trends shaping the AI industry, breakthrough research, and AI's impact to society. It also examines trends like AI hiring practices, private investment, AI research contributions by nation, researchers leaving academia for industry, and how much AI plays a role in specific industries. The report also notes strides in the reduction of the amount of time it takes to train AI systems and computing costs, two of the biggest hindrances to AI adoption rates. "In a year and a half, the time required to train a large image classification system on cloud infrastructure has fallen from about three hours in October 2017 to about 88 seconds in July, 2019," the report reads. The report is compiled by the Stanford Human-Centered AI Institute in collaboration with people from OpenAI.

With parents using artificial intelligence to scan prospective babysitters' social media and an endless slew of articles explaining how your résumé can "beat the bots," you might be wondering whether a robot will be offering you your next job. We're not there yet, but recruiters are increasingly using AI to make the first round of cuts and to determine whether a job posting is even advertised to you. Often trained on data collected about previous or similar applicants, these tools can cut down on the effort recruiters need to expend in order to make a hire. Last year, 67 percent of hiring managers and recruiters surveyed by LinkedIn said AI was saving them time. But critics argue that such systems can introduce bias, lack accountability and transparency, and aren't guaranteed to be accurate. Take, for instance, the Utah-based company HireVue, which sells a job interview video platform that can use artificial intelligence to assess candidates and, it claims, predict their likelihood to succeed in a position.

Action for Children is using artificial intelligence (AI) in its Christmas pop-up store to help visitors choose a secret Santa gift for a disadvantaged child. The store is open in Covent Garden, London, until 18 December in the run up to Christmas. It offers shoppers the chance to be a secret Santa for a vulnerable child and buy gifts ranging from a Christmas present, a hot meal or a safe place to sleep. This can be bought by the shoppers or on behalf of someone else and features an artificial intelligence gift predicting machine developed by Capgemini Applied Innovation Exchange. Have you paid a visit to our Secret Santa pop-up store yet?

U.S. Ranks Third in AI Adoption for Staffing Solutions, While Southeast Asia Leads the Charge, Finds CEIPAL Report ROCHESTER, N.Y., Dec. 11, 2019 /PRNewswire-PRWeb/ -- A new global survey from CEIPAL, a SaaS provider for the front- and back-office business operations of staffing companies, reveals universal acceptance of artificial intelligence (AI) as the future of recruitment. According to the 2019 Artificial Intelligence in the Recruiting Industry benchmark report, two-thirds of all staffing firms will adopt AI-driven ATS (applicant tracking systems) by the end of 2020, while 79 percent of enterprise staffing firms (firms with more than 100 recruiters) will have done the same. "As the first technology company to deploy an AI-driven ATS solution, CEIPAL has enjoyed a front row seat to the disruption that's happening in this industry by way of artificial intelligence, which provides us a unique opportunity to establish industry benchmarks," said Sameer Penakalapati, founder of CEIPAL. "Now that the reality of AI technology in our industry has actually caught up to its buzz, we want to quantify the sea change it's causing and share that data with our customers and the rest of the staffing world in preparation for the coming new year." The vast majority of respondents to CEIPAL's benchmark survey indicated either current reliance on AI-driven ATS solutions or future deployment of such technologies within the coming year.

Some marketers think AI is either a menace or magic. In reality, AI is neither. Our team has been practically applying AI at scale for many years, giving us the perspective to debunk some common myths and cut through the hype. AI is not particularly good at some things we're uniquely good at as humans. These skills are important to effective marketing.