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) …
DWS's stake in Arabesque showed how asset management is moving towards AI-powered investing. Artificial intelligence, hailed as investing's next frontier, is already widespread in various forms, but its true potential in portfolio management is still far from being fulfilled. In a study on AI and finance for the Alan Turing Institute, Professor Bonnie Buchanan puts AI's "impressive" growth down to declining processing and data-storage costs, and an immense availability of data. But compared to other fields, the quantity of data or the ability to create and collect new investment data is still not sufficient, despite its abundance, according to Michael Neumann, head of AI quant investing at Arabesque AI in London. Financial data also comes with a lot of'noise', and the definition of success or failure can be more nuanced.
Energy investors in search of resilience are rediscovering the power of IoT and machine learning to guide data-driven decisions in the face of an increasingly volatile economic environment. Much has happened since I first wrote about a cloud-based IoT platform from Kaiserwetter Energy Asset Management called ARISTOTELES. ARISTOTELES is at the forefront of informed decision-making platforms supporting all stakeholders involved in renewable energy investments. "We're seeing strong interest from investors who want to stay ahead of ongoing shocks related to the COVID-19 pandemic, as well as all the other variables that impact the energy industry," said Hanno Schoklitsch, CEO and founder at Kaiserwetter Energy Asset Management. "Our customers have been super-astonished when they've seen how they could use applied data intelligence on a daily basis to benchmark the performance of the assets they have invested in, and predict production outcomes of renewable energy facilities throughout the world at any given time."
Artificial intelligence, or AI, has been a buzzword in the martech industry for years, but in recent months AI within digital asset management (DAM) technology has been especially popular. But what specifically does having AI enablement in DAM entail, and how will it benefit marketers? While there is certainly an intrigue involved in integrating AI functionality into your martech stack, marketers need to remember that AI is not a catch-all solution to all their problems. Rather, AI needs to be looked at as a tool that can help them get to the solution in a better way. Nonetheless, when implemented properly, an AI-integrated DAM software can provide many content managers a fix to various problems a brand may face, all while improving the overall customer and brand experience.
Energy investors in search of resilience are rediscovering the power of the Internet of Things (IoT) and machine learning to guide data-driven decisions in the face of an increasingly volatile economic environment. Much has happened since I first wrote about the cloud-based IoT platform from Kaiserwetter Energy Asset Management called ARISTOTELES. "We're seeing strong interest from investors who want to stay ahead of ongoing shocks related to the COVID-19 pandemic, as well as all the other variables that impact the energy industry," said Hanno Schoklitsch, chief executive officer (CEO) and founder at Kaiserwetter Energy Asset Management. "Our customers have been super astonished when they've seen how they could use applied data intelligence on a daily basis to benchmark the performance of the assets they have invested in and predict production outcomes of renewable energy facilities throughout the world at any given time." It is built on SAP Cloud Platform and uses a number of SAP solutions, including SAP Internet of Things and SAP Analytics Cloud.
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.