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2 Bachelor Thesis in Business Administration Title: The application of Artificial Intelligence (AI) in Human Resource Management: Current state of AI and its impact on the traditional recruitment process Authors: Jennifer Johansson and Senja Herranen Tutor: Brian McCauley Date: May 2019 Key terms: Artificial Intelligence, Human Resource Management, Recruitment process, Artificial Intelligence is disrupting the traditional banking industry in many ways as its huge impact is being observed in various sectors, however, it has been more prevalent in the financial and banking sector in specific. Master Thesis Artificial Intelligence MyPAL: A Digital Diabetes Diary with a Responsive Social Avatar Mike Ligthart, BSc Radboud University Nijmegen June 2016 Internal Supervisor: dr. Pim Haselager Radboud University Nijmegen External Supervisor: prof. dr. Mark Neerincx TNO and Delft University of Technology Reviewer: dr. Khiet Truong University of Twente . Today, almost every company is looking for AI professionals to implement Artificial Intelligence in their systems and provide better customer experience, along with other features. The findings display that Nina improved the service spectrum of Swedbank with the potential of decreasing costs, while maintaining customer satisfaction. Artificial Intelligence and Decision-Making Applications in a Business Context - Business economics - Bachelor Thesis 2020 - ebook 29.99 € - GRIN Artificial Intelligence in banking is more than about chat bots. Thanks to machine learning and deep learning, AI applications can learn from data and results in near real time, analyzing new information from many sources and adapting accordingly, with a level of accuracy that’s invaluable to business. Their immense power has been harnessed in these institutions to offer business solutions in front end and back end processes to create efficiency and improve customer experience. AI solutions for business-related problems in the banking. Artificial intelligence (AI) is disrupting diverse industries, but banking is projected to benefit the most out of incorporating AI systems in the next couple of years. The tool that is used for Artificial Intelligence gets smarter and smarter day by day, which in turn helps in powerful machine learning. This thesis will define machine learning and artificial intelligence for the investor and real estate audience, examine the ways in which these new analytic, predictive, and automating technologies are being used in the real estate industry, and postulate potential Discussions, articles, and reports about the AI opportunity across the financial services industry continue to proliferate amid considerable hype around the technology, and for good reason: The aggregate potential cost savings for banks from AI applications is estimated at $447 billion by 2023, with the front and middle office accounting for $416 billion of that total, per Autonomous Next research seen by Business Insider Intelligence. e-Mémoires around the world; Master Thesis Online. Banks are busy exploring ways in which they can harness the power of AI to streamline internal processes and improve the customer experience. The usage of artificial intelligence in banking is an important theme within entrepreneurial research. AI also enables banks to manage huge volumes of data at record speed to derive valuable insights from it. In addition to that, everything from robotic process automation to actual robotics falls under the AI domain, hence complicating the understanding of it even further. CitiBank is using artificial intelligence in banking as a part of its fraud detection strategy. Box 479, FI-00101 … AI solutions for business-related problems in the banking. In a nutshell, the concept of “the bank in the pocket” is almost here. Banks can use AI to transform the customer experience by enabling frictionless, 24/7 customer interactions — but AI in banking applications isn't just limited to retail banking services. Most banks (80%) are highly aware of the potential benefits presented by AI, per an OpenText survey of financial services professionals. The companies mentioned in this report are: Capital One, Citi, HSBC, JPMorgan Chase, Personetics, Quantexa, and U.S. Bank. Artificial Intelligence For Risk Monitoring in Banking. Sign up for Chart of the Day. Further, to understand the managerial motivations of Swedbank, a theory of Moore (2008) regarding innovation management was applied. 2 Bachelor Thesis in Business Administration Title: The application of Artificial Intelligence (AI) in Human Resource Management: Current state of AI and its impact on the traditional recruitment process Authors: Jennifer Johansson and Senja Herranen Tutor: Brian McCauley Date: May 2019 Key terms: Artificial Intelligence, Human Resource Management, Recruitment process, This is where Artificial Intelligence comes into play in the banking systems, as it improves customer satisfaction. >>. It is expected to empower the banking organizations that are usually burdened with a vast amount of data work, large volume transactions, documentation, analysis, and more. Applications of AI in Banking The three main channels where banks can use artificial intelligence to save on costs are front office (conversational banking), middle office (anti … This thesis points that there is lack of skilled talents in the field of artificial intelligence even though several routine and manual tasks performed by humans have been replaced by automation. AI has impacted every banking “office" — front, middle and back. AI technologies are making banking processes faster, money transfers safer and back-end operations more efficient. Further, the results displayed a high acceptance of new technologies from the customer perspective. Artificial Intelligence in banking is a breakthrough that is changing the way we bank and carry out financial transactions. Artificial Intelligence Solutions for Banking. A leading-edge research firm focused on digital transformation. The hypervisor vmware case banking intelligence artificial in study ei. In simple terms, AI are intelligent programs that perform specialized, sometimes highly complex tasks – in many cases better even than humans could. AI has impacted every banking “office" — front, middle and back. For six decades machine learning (ML) was poised to take off because members of the ‘artificial intelligentsia’ had already come up with the theoretical models that could make it work. The research is based on a case study of the Swedish banking institute Swedbank AB, who introduced an AI based virtual assistant (Nina) to deal with customer requests. Details the key use cases for transforming the front and middle office using the technology. This ability to self learn and self … Thus, the software they utilize help with money laundering issues detection. Title of thesis: Artificial Intelligence in Finance: Forecasting Stock Market Returns Using Artificial Neural Networks Abstract: This study explored various Artificial Intelligence (AI) applications in a finance field. The use of artificial intelligence in decision-making must fit workflows and formats that make sense for users. Though banks don’t create AI strategies, they are increasingly using artificial intelligence and machine learning in their day-to-day business. Artificial intelligence is a constellation of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence. Artificial intelligence in banking: A case study of the introduction of a virtual assistant into customer service. This research concludes that throughout the value chain in financial services This thesis focuses on four areas of CRM being sales, marketing, analytics and commerce. The results of this thesis point out that artificial intelligence is used in all the areas offered by CRM. Artificial Intelligence Solutions for Banking. The banking sector is becoming one of the first adopters of Artificial Intelligence. Therefore, Artificial Intelligence includes a group of related technologies but not limited to big data analytics, machine learning, deep learning, virtual agents, predictive/prescriptive analytics, and avatars. The purpose of the study was to analyse the motivations, challenges and opportunities for Swedish banking institutes to implement artificial intelligence based solutions into their customer service process. At the moment, we are in a stage of high development and usage of Artificial Intelligence. The usage of artificial intelligence in banking is an important theme within entrepreneurial research. 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