Digital Currencies—More than a Passing Fad?

2022 ◽  
Vol 121 (831) ◽  
pp. 24-29
Author(s):  
Barry Eichengreen
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Organizational Change ◽  
Central Bank ◽  
Financial System ◽  
Financial Data ◽  
Currency Pegs

The financial system is currently in a period of exceptionally rapid technological and organizational change, with the adoption of cloud computing to store and process financial data, artificial intelligence to analyze it, and blockchain to secure it. It is fashionable to assert that digital currencies will be part of that future. But cryptocurrencies like Bitcoin are too volatile to possess the essential attributes of money. Stablecoins have fragile currency pegs that diminish their utility in transactions. And central bank digital currencies are a solution in search of a problem.

Reinforcement Learning for Cloud Computing Digital Library

2014 ◽  
Vol 571-572 ◽  
pp. 105-108
Author(s):  
Lin Xu
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Reinforcement Learning ◽  
Digital Library ◽  
Learning Algorithms ◽  
Experimental Results ◽  
Current Status ◽  
Self Learning ◽  
New Framework

This paper proposes a new framework of combining reinforcement learning with cloud computing digital library. Unified self-learning algorithms, which includes reinforcement learning, artificial intelligence and etc, have led to many essential advances. Given the current status of highly-available models, analysts urgently desire the deployment of write-ahead logging. In this paper we examine how DNS can be applied to the investigation of superblocks, and introduce the reinforcement learning to improve the quality of current cloud computing digital library. The experimental results show that the method works more efficiency.

scholarly journals IMPROVING INTERNET OF THINGS PARKING SYSTEMS

2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Information Needs ◽  
Vehicle Classification ◽  
The Internet ◽  
Parking Space ◽  
Automated Systems ◽  
The Internet Of Things

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.

scholarly journals Monetary policy change of the Central bank of Poland

2015 ◽  
Vol 15 (3) ◽  
pp. 246-259
Author(s):  
Ireneusz Kraś
Keyword(s):  
Monetary Policy ◽  
Economic Policy ◽  
Central Bank ◽  
Policy Change ◽  
Financial System ◽  
Financial Statements ◽  
Democratic Character ◽  
National Bank ◽  
The Republic ◽  
The Government

Abstract The National Bank of Poland is an institution which, in conjunction with the government is responsible for the implementation of country’s economic policy reinforces its democratic character. Provisions of its operation are governed by the Constitution of The Republic of Poland and by the Act on the National Bank of Poland. To this end, the objective of the present research is to analyse the proposed amendments in the Act on the NBP. The latter concerns the amendment procedures, term of office and the rotations and numbers of Monetary Policy Council. The remaining part of the analyses is dedicated to the issue of dismissal of a MPC’s member in conjunction with the prohibition of occupying other positions, the adoption of the NBP’s financial statements and the separation of instruments of monetary policy’s instruments for stability of domestic financial system. Introduced changes in the proposed draft reduce the independence of the NBP while making it more subject to the Cabinet. Following the result of further consultations on the draft of Act on the NBP, provisions which reduce the independence of the NBP shall be partially removed.

scholarly journals THE EFFECT OF SBI RATE THROUGH FINANCIAL SYSTEM TO ECONOMIC GROWTH OF INDONESIA

2007 ◽  
Vol 8 (4) ◽  
Author(s):  
Donni Fajar Anugrah
Keyword(s):  
Economic Growth ◽  
New Zealand ◽  
Central Bank ◽  
Inflation Targeting ◽  
Financial System

Bank Indonesia menerapkan Inflation Targeting Framework (ITF) sejak tahun 2000 dengan menggunakan base money sebagai alat kebijakan moneternya. Hasil penerapan framework ini kurang optimal jika melihat inflasi aktual yang tidak selalu berada dalam kisaran target yang telah diumumkan. Di sisi lain, beberapa negara yang juga menerapkan ITF, seperti New Zealand, telah berhasil mencapai tingkat inflasi yang rendah sesuai dengan target yang diumumkan. Mereka menggunakan suku bunga sebagai alat kebijakan moneter dalam penerapan ITF. Oleh karena itu, Bank Indonesia memutuskan untuk menggunakan suku bunga SBI sebagi alat kebijakan untuk mencapai inflasi yang rendah.Permasalahan yang perlu mendapat perhatian yaitu seberapa besar efek dari kebijakan ini terhadap pertumbuhan ekonomi secara bertahap. Dalam penerapannya, suku bunga SBI akan mempengaruhi sistem keuangan melalui suku bunga pasar, seperti suku bunga PUAB dan kredit. Secara teoritis kedua suku bunga pasar terseut dapat mempengaruhi konsumsi dan investasi. Penelitian ini akan lebih difokuskan pada efek suku bunga pada konsumsi dan investasi yang pada akhirnya berdampak pada tingkat pertumbuhan ekonomi.Dengan menggunakan pendekatan Joahnsen, akan dapat dijelaskakn hubungan jangka panjang antar variabel dan menghasilakn ECM yang digunakan dalam model jangka pendeknya. Hasil penelitian menunjukkan bahwa suku bunga dan konsumsi memiliki hubungan negatif hanya di jangka pendek. Sedangkan suku bunga dengan investasi berhbungan negatif dalam jangka panjang. Hasil akhir menunjukkan peningkatan  suku bunga akan berakibat pada penurunan pertumbuhan ekonomi.Keywords: central bank, sbi rate, consumption, investmentm economic growth, inflation targetingJEL: E21, E52, E58, F43

scholarly journals The Pros & Cons of Business Innovation at IT Organizations

2019 ◽  
Vol 7 (1) ◽  
pp. 82-85
Author(s):  
Geetha Swaminathan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Information Technology ◽  
Cloud Computing ◽  
New Technologies ◽  
Global Market ◽  
Innovative Product ◽  
Business Innovation ◽  
It Organization ◽  
Pros And Cons

In the 21st Century, the buzzword is often used in all fields is “Innovation". It is no wonder using Innovation in day to the conversation as well as striving for innovation execution at organisations in Information Technology (IT) sectors. When we need to talk about innovation in IT sectors in the fast-moving technology IT organisations, they are in a position in increasing its capability in its innovative product and services. There is a lot of benefits out of business innovations that are being reaped in IT companies; there are apparent disadvantages are also the outcome of them. It is quite common, despite all benefits and drawbacks, they are in apposition to survive in the global market. That becomes a great challenge to all IT organisations. In IT organisations which consist of departments such as Development, Testing, Consulting, Networking, Infrastructure, Process and having common platforms and legacy languages, Apart from that they are in the way of invading new technologies such as Digital, Mobile, IoT, Artificial Intelligence, Machine learning Cloud computing. In all the fields, as mentioned above and area, they need to do innovation to sustain their business. This paper will provide elaborate results on Pros and Cons of Business Innovation in IT Organization.

scholarly journals Measuring Digital Transformation Maturity of Supply Chain

2021 ◽  
Vol 15 (2) ◽  
pp. 199-204
Author(s):  
Krešimir Buntak ◽  
Matija Kovačić ◽  
Maja Mutavdžija
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Industry 4.0 ◽  
Digital Transformation ◽  
Strategic Decision ◽  
Traditional Practices ◽  
Long Run ◽  
Efficiency And Effectiveness ◽  
Different Levels

Digital transformation signifies changes in all components and systems of the supply chain. It is also a strategic decision of the organization which, in the long run, can result in the creation of competitive advantage in the market. Digital transformation is affecting all organizations, regardless of their activity. Digital transformation of the supply chain involves the use of industry 4.0 based technologies as well as the replacement of traditional practices with new ones based on digital solutions. The implementation of digital solutions, such as artificial intelligence, IoT, cloud computing, etc., therefore, improve communication between stakeholders in the supply chain, as well as improve efficiency and effectiveness. When conducted, digital transformation must be measured by different levels of maturity. In this paper, authors research current models of measuring digital transformation maturity in supply chain and propose a new model based on identified theories and needs.

scholarly journals Application Problems and Solutions of Intelligent Airport Service Robots

2020 ◽  
Vol 198 ◽  
pp. 04030
Author(s):  
Dai Yanyan ◽  
Chen Meng
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Large Scale ◽  
New Technologies ◽  
Effective Means ◽  
Third Party ◽  
Service Robots ◽  
Service Robot ◽  
Operation Conditions

With the development of new technologies such as artificial intelligence, big data, and cloud computing, the “intelligent airport” is considered to be an effective means to solve or alleviate the current industry problems such as large-scale airport business, the large number of operating entities, and the complicated operation conditions. This paper is about the collaboration between universities and enterprises based on the concept of service design. Relying on big data and cloud computing technology, this paper addresses the problems of airport service robots in inquiries, blind spots of security inspection, and full monomer smart navigation diffluence, combined with the basic technology of service robot artificial intelligence and the third-party interface to design solutions to effectively solve the problems of process.

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