Paypal has a deep learning system that filters out deceptive merchants and cracks down on sales of illegal products. Citibank's Citi Ventures arm recently invested in Feedzai, a machine learning company that identifies and prevents fraudulent transactions before they're completed. A few investment firms, including Aidyia Limited of Hong Kong, have launched funds managed entirely by AI. San Francisco startup Sentient Technologies, which develops AI software, created its own hedge fund based on its deep learning technologies. Swiss AI startup NNSAISENSE and Acatis Investments, a German fund manager, recently launched "Quantenstein," a deep learning software platform that helps investors choose the best stocks and build portfolios.
Every year, companies spend 1.3 trillion dollars on 265 billion customer service calls. That's five bucks a call. On average, the cost to find and hire a call center agent costs $4000 (not including salary), with an additional $4,800 for training -- and with frustrated agents tending to drop like flies in the face of an often brutally stressful job, these costs mount up. AI, or what IBM calls cognitive computing, is changing that. Autodesk began piloting the IBM Watson Conversation Service in June 2016 as a virtual agent called OTTO, later enhancing it and renaming it AVA (Autodesk Virtual Agent) in February 2017.
Where does the European insurance industry stand in terms of advanced analytics, AI and automation? Do we see that traditional methods of data analysis are now being labeled by the term "machine learning"? Maybe the industry is more advanced than that: Are real chatbots, for example, already ubiquitous? Let's have a closer look. I had the opportunity to visit the "Insurance AI and Analytics Europe" conference in London.
UAE Vice President Sheikh Mohammed bin Rashid Al Maktoum on Thursday announced the appointment of Omar Sultan Al-Olama as the country's first-ever Artificial Intelligence Minister. "The next global wave is artificial intelligence and we want the UAE to be more prepared for it," Al Maktoum said. The Gulf nation also introduced the post of Minister for Advanced Sciences.
Our client is the largest and fastest growing online hotel booking platform in Asia. With elite talent from over 65 countries, the atmosphere of a start-up and the muscle of a $bn business, this company is an incredible technical creative melting pot. Technology is not just what they do – it's at the heart of who they are. They put cutting-edge technology in your hands so you can help them change the way people run their lives. They want you to come with them so they can get there – and get your career going places, too.
Historically, when new technologies become easier to use, they transform industries. That's what's happening with artificial intelligence and big data; as the barriers to implementation disappear (cost, computing power, etc.), more and more industries will put the technologies into use, and more and more startups will appear with new ideas of how to disrupt the status quo with these technologies. By my predictions, the AI revolution isn't coming, it's already here, and we'll see it first in a few key sectors. Most people agree that healthcare is broken, and many startups believe that the biggest answer is putting the power back in the hands of the patient. We're all carrying the equivalent of Star Trek's tricorder around in our pockets (or an early version, at any rate) and smartphones and other smart devices will continue to advance and integrate with AI and big data to allow individuals to self-diagnose.
Sebastian Raschka, author of the bestselling book, Python Machine Learning, has many years of experience with coding in Python, and he has given several seminars on the practical applications of data science, machine learning, and deep learning, including a machine learning tutorial at SciPy - the leading conference for scientific computing in Python. While Sebastian's academic research projects are mainly centered around problem-solving in computational biology, he loves to write and talk about data science, machine learning, and Python in general, and he is motivated to help people develop data-driven solutions without necessarily requiring a machine learning background. His work and contributions have recently been recognized by the departmental outstanding graduate student award 2016-2017, as well as the ACM Computing Reviews' Best of 2016 award. In his free time, Sebastian loves to contribute to open source projects, and the methods that he has implemented are now successfully used in machine learning competitions, such as Kaggle. Vahid Mirjalili obtained his PhD in mechanical engineering working on novel methods for large-scale, computational simulations of molecular structures.
"Evie," is a youngish bot with blinking green eyes, smiling pink lips, and flowing brown hair (it seems that bots are almost always made to look and sound like women). According to its makers, Evie comes out with statements that have all been acquired at some point in the past ten years from the things people type to "her." For this reason, its database of possible answers is vastly bigger than anything more primitive bots had to draw on. Even so, there are some strange moments when I attempt a chat with the pixelated face on my computer screen. A remark I type to Evie about Buster Keaton leads it to reply -- actually to spit out, Spock-like -- that I am "making sense."
An event designed to encourage greater participation by black researchers in artificial intelligence has become the latest flashpoint in the debate over diversity at the cutting edge of computer science and whether political correctness has gone too far. In December, a group called Black in AI plans to host an afternoon workshop to highlight AI research by black computer scientists at the Conference on Neural Information Processing Systems, one of the top gatherings for scientists working on AI. While the organizers invited people of all races to attend the workshop, they said only black researchers would be allowed to present papers. As news of the event spread on social media, it sparked a backlash from some coders and academics who questioned why an event focusing solely on research by black scientists was necessary. The debate echoes the controversy in August that followed Google employee James Damore's circulation of a manifesto that, among other points, accused the company of overzealously promoting diversity at the expense of technical ability in hiring and promotions.
ClearMetal, the company that provides AI solutions to the logistics industry, recently received $9 million in funding. The logistics industry is riddled with time-intensive, labyrinthine processes that are managed using inept and inefficient legacy digital solutions. ClearMetal offers new age, AI-based solutions to manufacturers and retailers. These solutions can potentially save ClearMetal's clients millions of dollars depending on the size of its logistics operations. ClearMetal CEO and co-founder, Adam Compain, says the technology they offer is a quantum leap to what logistics industry uses currently.