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) …
As I explain in The Evolution of Evolution, when humanity merely evolves downstream, from an existing normalization of truth, get ready for infinite regression. That is my stern warning to Dutch funds, APG and PGGM, promoting an AI-driven investment platform for asset-owners, as reported by top1000funds. As the publication states: "The AI-driven technology sifts through reams of structured and unstructured data to gauge the extent to which companies' products and activities meet the UN's Sustainable Development Goals (SDGs)." Let's break this smorgasbord of misplaced assumptions in asset management down once again: The U.N. is completely wrong in its reference and association with sustainability, an evolutionary oxymoron, for sustainability does not exist anywhere in the universe. That misnomer is more than a mere conflict of surface-level semantics as it involves a fundamental misapprehension of the cosmos and the role of humanity on this tiny little planet in it. Those who refer to sustainability are new-born flat-earthers, missing a few crucial dimensions in the fractal of human expansion.
UBS is a Swiss multinational investment banking and financial services company ranked 30th on S&P Global's list of the top 100 banks. In addition to investment banking and wealth management, the company is looking to improve its tech stack through several AI projects. We begin our coverage of UBS' AI initiatives with their project for a virtual financial assistant for their banking clients. UBS partnered with IBM and Digital Humans (formerly FaceMe) to create a virtual financial assistant for its customers. The virtual assistant is a conversational interface built with IBM's Watson Natural Language Understanding solution.
IDC has published a new IDC Innovators report titled, IDC Innovators: Artificial Intelligence--Powered Automation Solution Providers in Asia/Pacific (Excluding Japan), profiling four companies that provide artificial intelligence (AI)-powered automation solutions. The four companies are: Active.AI, Clobotics, Taiger, and X0PA. AI-powered automation solution or intelligent automation is much more than intelligent robotic process automation (RPA). It is a way to support, augment, and sometimes automate many aspects of a knowledge worker--s tasks to improve operational efficiency, increase robustness and flexibility, create space for the workforce to release their creative intelligence, and kick-start the man--machine collaborative learning cycle. The rise of intelligent automation has reduced the need for human oversight over many business processes, as more technology vendors work to re-engineer complex workflows and processes.
Next February 28th and 29th, the 2nd edition of this Hackathon on Artificial Intelligence & Machine Learning is organized with a new partner, SESAMm. The event will be held the university Paris Dauphine and will gather students from leading French universities. Teams will tackle a specific challenge (to be revealed in real time) on the theme of applying artificial intelligence and machine learning approaches to an asset management problem. For 24 hours, participants will be able to test their coding skills in artificial intelligence and machine learning. The winner will receive a 2,000€ cash prize.
Never before have consumers had such an outstanding lineup of content offerings from which to choose – from award-winning original programming on OTT services like Netflix, to a galaxy of live-streamed and live-broadcast entertainment and sports events. First the good news: "I want my MTV." Some of us are old enough to remember that bygone slogan that expressed viewers' craving for music videos (back when MTV was all about music videos!) and well before the multiplatform internet age. That craving for all types of content has grown exponentially in the ensuing years, creating a potential gold mine of new opportunities for savvy media companies to develop lucrative new revenue streams. As media companies look for ways to realize that new revenue potential, they're running up against some real institutional barriers when they try to get their hands on the valuable content assets they need.
Tech Intelligence Bulletin (HG Insights) – Cognizant has been selected by Network Rail, Britain's principal rail infrastructure owner, to lead a new consortium tasked with delivering data-driven operations as part of a comprehensive Intelligent Infrastructure transformation program. Cognizant, in partnership with rail specialists Amey Consulting and Arup, has been awarded a five-year contract to design, build and operate digital capabilities based on artificial intelligence, internet of things, data analytics, and mobility technologies that will help improve Network Rail's asset management and overall performance. Cognizant will lead the consortium in developing and applying enhanced data collection and analytics to Network Rail's more than 12,000 connected assets, such as track circuits, signal power supplies, and switches. The new capabilities will equip Network Rail with real-time condition monitoring and data-driven insights, aided by artificial intelligence, to improve decision-making and asset management. Network Rail expects to lower costs and enhance safety by predicting and preventing maintenance issues, prioritizing work streams and minimizing the time rail workers spend on the tracks.
With the status of current wind and solar subsidies in the U.S. unclear, the industry needs to brace for impact by making up for the increase in investment risk post-subsidies. A post-subsidy world means the renewable energy sector needs to successfully harness and utilize AI and smart data analytics to maximize investment returns. According to a report by the International Energy Agency, carbon emissions hit a record high in 2018. A new record high is likely in 2019, too. Global energy demand is rising exponentially due to forces like globalization, industrialization and exploding populations.
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Robotic process automation (RPA) is the game-changer your organization doesn't know about. There are only a few leaders in your organization who fully appreciate the potential of RPA. The hype about RPA reminds me of the hype about the Internet in the mid-1990s. We know it's going to take off, but we don't know where or how this idea of knowledge-sharing will be adopted. RPA applies AI and machine-learning capabilities to perform a repeatable task that previously required humans to perform.
FinTech industry is known to use artificial intelligence for a wide range of purposes. Digital enterprises use it for efficient chatbot response systems. Some businesses offer AI as an assistant for asset management and market analysis. The use cases of AI are widespread among the industry, and we can safely assume that technology will be further used. According to Mordor Intelligence, the AI market in fintech is projected to grow beyond $7 billion from only $1.2 bln in 2017.