A sneak-peek into a few AI trends we picked for you from Data Natives 2019 – Europe's coolest Data Science gathering. We are about to enter 2020, a new decade in which Artificial Intelligence is expected to dominate almost all aspects of our lives- the way we live, the way we communicate, how we sleep, what we do at work and more. You may say it already does- and it is true. But I assume the dominance will magnify in the coming decade and humans will become even more conscious of tech affecting their life and the fact that AI is now living with them as a part of their everyday existence. McKinsey estimates AI techniques have the potential to create between $3.5T and $5.8T in value annually across nine business functions in 19 industries.

CAPTURING data in today's world is easy. Be it an action in the digital world on a website or an application or in the physical world in a retail or commercial environment -- everything can be tracked. Making sense of that data, however, requires more than just employing data scientists. Founder and Chief of Product Angad Chowdhry told Tech Wire Asia that subject matter expertise is the most important piece of the puzzle when it comes to making sense of data. Chowdhry's company works with a variety of for-profit and non-for-profit businesses, tapping into data from a plethora of sources, and running artificial intelligence (AI)-powered models to answer questions that help better understand markets, invest resources, and plan for the future. Quilt.ai recently collaborated with School of Oriental and African Studies (SOAS) and the Barbican Centre in the UK on a project to help AI understand the context when it sees a photograph.

Advanced Symbolics Inc. (ASI), who are an artificial intelligence-driven market research company, have an AI tool called "Polly". This AI program was shown to be more accurate than many polling companies, such as YouGov, when it came to predicting the U.K. General Election result and the large majority of the Conservative and Unionist Party. According to commentary from ASI's head Erin Kelly, the company and its artificial intelligence technology have a strong record of predicting elections and referenda. The success rate embraces the 2015 Canadian Federal Election, the referendum leading to the U.K.'s exit from the European Union in 2016 ('Brexit'), the U.S. 2016 election heartrending in Donald trump, plus the 2019 Canadian Federal Election. The 2019 UK election surprised many political observers by delivering the Conservative and Unionist Party, led by right-winger Boris Johnson, an 80-set majority over the combined opposition parties.

DUBLIN--(BUSINESS WIRE)--The "5G Business Services Market by Enterprise, Industrial, and Government Segment Applications, Services, and Solutions 2019-2024" report has been added to ResearchAndMarkets.com's offering. This report evaluates the 5G B2B market solutions for enterprise, industrial, and government users. It addresses specific opportunities such as 5G support of private wireless networks, WAN connectivity, and fixed wireless access for business. It also provides analysis for specific applications such as autonomous vehicles, telepresence, tele-robotics, video-related services, public safety and more. The report provides forecasts for both 5G revenue as well as user projections from 2019 to 2024.

Small businesses are generally unprepared for unforeseen catastrophes, surveys show. A whopping three-fourths of U.S.-based outfits say they don't have an insurance policy that meets their unique needs, while 40% admit they don't have coverage of any kind. Of course, the latter are on the hook for incidents like client complaints, contract disputes, and employee injuries, in addition to burglary or theft and customer injury -- all of which can amount to hundreds of millions of dollars in repairs and remedial disbursements. That's why in 2017 former McKinsey business analyst and Morgan Stanley associate Bryan O'Connell founded Huckleberry, a carrier built on a robust cloud-based software and data science and analytics backend. The San Francisco-based company ambitiously aims to digitize the purchase and management of commercial insurance, a category of coverage that's notoriously slow to acquire and which historically has been wrapped up in layers of bureaucracy.

We discuss why James wrote this book 3 years ago now, how far away he really thinks we are from artificial human intelligence, the warning bells recently being sounded about artificial intelligence, and why he thinks there will not be another AI winter. Our guest today is James Barrat author of the book "Our final Invention" Artificial Intelligence and the end of the Human Era". It's good to be here. Kathleen Walch: [00:00:39] Great, I'd like to get started by having you introduce yourself to our listeners and to tell us a little bit about your book and also what additional things that you're doing in the field of AI and let's go from there. I got into artificial intelligence, or the study of artificial intelligence, and the critique of AI because I made a film about 17 years ago now about artificial intelligence. I interviewed Ray Kurzweil and Rodney Brooks and Arthur C. Clarke among others … and Ray Kurzweil of course who is now chief engineer at Google and the Google brain project.

Google is quickly putting its wildlife-spotting AI to good use. The internet giant has launched a Wildlife Insights tool that helps conservationists track wildlife by not only parsing their photos, but sharing them in a searchable public website. The AI automatically tosses out photos that are highly unlikely to include animals and tries to label the animals it does spot, dramatically speeding up a laborious task. That, in turn, helps researchers track animal populations as they're affected by climate change and direct human intrusion. The website, meanwhile, is powerful whether or not you're a researcher.

Facial recognition technology is increasingly used for everything from government surveillance to convenient online logins, especially in China. A new test reported by Fortune casts doubt on the accuracy of some such systems, however, by showing that they can be fooled by users wearing masks. To perform the test, artificial intelligence company Kneron commissioned high-quality 3D masks that mimicked the face of another person, and tested whether someone could wear one to fool facial recognition systems. Researchers were able to make purchases from another person's account via the AliPay and WeChat payment systems. The team were even able to fool systems at airports. In Schiphol Airport in Amsterdam, they managed to trick a self-boarding system with just a photo of another person's face.

Nearly every day, in war zones around the world, American military forces request fire support. By radioing coordinates to a howitzer miles away, infantrymen can deliver the awful ruin of a 155-mm artillery shell on opposing forces. If defense officials in Washington have their way, artificial intelligence is about to make that process a whole lot faster. The effort to speed up fire support is one of a handful initiatives that Lt. Gen. Jack Shanahan describes as the "lower consequence missions" that the Pentagon is using to demonstrate how it can integrate artificial intelligence into its weapons systems. As the head of the Joint Artificial Intelligence Center, a 140-person clearinghouse within the Department of Defense focused on speeding up AI adoption, Shanahan and his team are building applications in well-established AI domains--tools for predictive maintenance and health record analysis--but also venturing into the more exotic, pursuing AI capabilities that would make the technology a centerpiece of American warfighting.

Crucial early diagnosis of dementia in general practice could improve thanks to a computer model designed in a collaboration between Brighton and Sussex Medical School (BSMS) and astrophysicists at the University of Sussex. Currently, only two-thirds of people with dementia in the UK receive a formal diagnosis, and many receive it late in the disease process, meaning that a large number are missing out on the care that could help them achieve a good quality of life. The team, led by Dr Elizabeth Ford, Senior Lecturer in Primary Care Research at BSMS, used data from GP patient records to create a list of 70 indicators related to the onset of dementia and recorded in the five years before diagnosis. Working with data scientists from astrophysics, they then tried several types of machine-learning models to identify patterns of clinical information in patient records before a dementia diagnosis. The best model was able to identify 70% of dementia cases before the GP, but also threw up a number of false positives. Ford said: "Patients appear to be exhibiting a wide range of indicators prior to being diagnosed with dementia.