We welcome all techno enthusiastic to participate in the’International Conference on Blockchain and Data Science’scheduled in Las Vegas, USA during March 18-19, 2020. The 2020 edition will move forward with the theme’
Creating the future by exploring the technology’ Blockchain 2020‘will bring together scientific researchers from all around the globe to share their studies on this unique concept of BlockChain, IoT, Crypto Currency, Artificial Intelligence, etc. Meetings International organizes various conferences throughout the year on a plethora of research topics and is committed to working with scientists, researchers for the advancement of research in all fields.’
Las Vegas‘has tourist attraction places like Hover dam, South rim, Sunset which can also be a great experience for the participants. Its multicultural festivals make this an obvious place for tourists from all around the globe.’
Session on:’
History of Blockchain
A blockchain is an increasing list of documents, called blocks, connected by cryptography. Each block includes a prior block cryptographic hash, a timestamp, and transaction information. A blockchain is frequently supervised for use as a distributed ledger by a shared scheme in its entirely that adheres to a convention between hub correspondence and approval of fresh squares. It is created as the Bitcoin virtual monetary accounting method, blockchains’
which are used as distributed ledger technology (DLT)’
appear today in a multitude of business apps.’
Session on:’
Blockchain: Building Trust
What’s old can sometimes become radically new again. One of these notions is trust. As we embed confidence in blockchain operations, fresh opportunities for transformation are emerging. There’s a change in every time. A true shift that lives up to its potential’
to transform landscapes, change outlooks, and introduce a fresh reality. Blockchain produced some time ago a not-so-silent entry and trailing in his wake, laying the promise of revolutionizing companies and changing how cultures communicate.’
Session on:’
Blockchain and Cryptoeconomics
Bitcoin’s emergence and the blockchain have brought a lot of change to the finance globe. Previously, the traditional economic transaction scheme engaged third-party financial institutions ‘ active involvement, i.e. Banks. However, the blockchain has now taken advantage of transactions between people, businesses across global boundaries without intermediaries being involved. Formerly, the world economy used fiat currencies / government-backed currencies, i.e. dollar, euro, pound, etc. A few cryptocurrencies are being used to purchase products and full transactions with mass acceptance on the increase, with Bitcoin leading the pack.’
Session on:’
Blockchain in Finance Sector
Blockchain has the capacity to alter the financial industry’s multiple corners. Blockchain is changing the world from the strategy we tend to pay money with cryptocurrencies like Bitcoin to banks and financial institutions settling payments through Ripple. In the economic industry, the use of blockchain decreases the importance of online transactions and at the same time improves their authenticity and security. It is also used to safeguard delicate documents and authenticate a user’s identity. By releasing transactional documents from the historical constraint of isolation and eliminating the need for verification, it will dramatically enhance business processes.’
Session on:’
Blockchain and IoT
The blockchain promises safety for things on the Internet: it offers assurances that knowledge is valid, and hence the process that presents fresh data For the same reasons it operates for cryptocurrency. As a consequence of the flow of sensors and embedded processors, the issue of IoT safety will alter the way urban planners set up hospitals and bus stops. Bitcoin a neater pulls back over IoT safety to fix. Blockchain moves currency wallets from one anonymous proprietor to a new with bitcoin. There are a lot of complex device authentication, safety and management layers.’
Session on:’
Cryptocurrency: Socio-Economic Effect
Today, with talk of blockchain technology and cryptocurrency, the internet is ablaze. There is no doubt that blockchain technology, which is the key technology behind cryptocurrency, is defined as a significant disruptor to the worldwide business process. However, it appears that cryptocurrencies receive much more attention than blockchain technology. Many entrepreneurs jumped on the bandwagon to develop ICO campaigns, selling tokens and raising hundreds of millions of dollars to the public. A lot appears to have occurred in the cryptocurrency room in less than a century since Satoshi Nakamoto brought Bitcoin to the globe.’
Session on:’
Ethical issues in Blockchain
Blockchain technology raises some ethical issues, with the two most prominent issues being Environmental impact and Obvious criminal activity allowing. Firstly, The Environment understand that the technology is driven by raw computing energy. And because blockchain networks depend on encryption and solving complicated mathematical puzzles, there is an enormous amount of computing energy to operate them.’
Secondly, Cybercrime looking back at Bitcoin’s early days, one might claim that the price rises of the cryptocurrency were motivated by criminal activity almost solely. Using dark websites, cyber criminals could securely and anonymously sell medicines, guns, and other prohibited products to Bitcoin’
not to mention the apparent advantages that untraceable economic transactions give money launderers.’
Session on:’
Big Data Analytics and Algorithms
Big Data is a sentence that uses traditional database and software methods to mean a huge quantity of both structured and unstructured data that is so big it is hard to process. A straightforward, unattended learning algorithm that is often used with large information sets, often as a manner to pre-cluster or classify into bigger classifications that other algorithms can refine further. It has some other intrinsic issues that make it best suited for high-level, large-scale clustering.’
Session on:’
Machine Learning and Deep Learning
Machine Learning is a method of teaching computers how to perform complex tasks that human beings can not readily describe or process and predict. It is a mixture of statics and mathematical optimization. The essential plan is to compile algorithms. On the other side, Deep Learning is the ML subset that focuses to fix any issue even more closely like a neuronal stage. The Strategies are square measure, present the state of the art in images and phrases are in sounds for distinctive objects.’
Session on:’
Data Visualization
Visualization of data is the graphical depiction of data and information. Data visualization instruments provide an affordable way to see and comprehend trends, outliers, and patterns in information by using visual components such as charts, graphs, and maps. In the big data world, instruments and techniques for data visualization are crucial for analyzing’ huge quantities of information and making data-driven choices.’
Session on:’
Data and Knowledge Management
Data is measured, obtained, reported and analyzed using charts, pictures or other analytical instruments. Data as a general notion relates to the reality that some current data or expertise is represented or coded for better use or processing in some form. Knowledge Management is a discipline that covers many fields, including economics, computer science, psychology and technology. There are two primary kinds of information, tacit and explicit, according to literature. Tacit knowledge relates to private knowledge and on the other hand, explicit knowledge relates to the one already documented and articulated informal language.’
Session on:’
Data Communication and Networking
Data communication relates to information exchange between a source and a receiver through transmission media type such as a wire cable. When communication devices are in the same construction or a likewise limited geographical region, data is said to be local, Networking is also known as computer networking. It allows devices and endpoints to be linked to each other on a local area network (LAN) or on a bigger network, such as the internet or a personal wide area network (WAN).
