The First International Workshop on Smart Data for Blockchain and Distributed Ledger

August 5, 2019 | USA

With the advent of Bitcoin, a cryptographically-enabled peer-to-peer digital payment system, blockchain together with a whole package of distributed ledger technologies, which serve as the underlying foundation of all the crypto-currencies, have been gaining attention from both academia and industry in the last decade. Furthermore, the recent years have witnessed tremendous momentum in the development of blockchain and distributed ledger technologies, largely due to the impressive rise in the market capital of these digital tokens. More and more industries, from banking and insurance, to supply chain and e-commerce, are quickly realizing the great potential in blockchain technology in efficiency boost, process automation and secure data sharing across otherwise isolated data silos. Companies like JP Morgan has initiated JPM token to revolutionize the banking industry, an outstanding example of a major industrial giant turning from cold dismissal of the new notion to warm embracing of the novel innovation.

Spotlight

In scenarios drawn from the movie Minority Report, some pundits are forecasting explosive growth of visualization over the next few years. We can expect, they say, to catch terrorists, identify fraud, and flag defects -- all through visual exploration of huge collections of data. This is all supposed to happen through new widgets that allow us to sort, zoom, filter, select, highlight, and link. These tools, they say, will give us the agility of a virtual jet flying through data.Other pundits are touting the age of machine learning, in which automated algorithms will find hidden patterns, outliers, and other anomalies in big data. In this scenario, no human interaction will be necessary. The computer will figure it all out.The extreme versions of both these views are wrong. A few simple examples show why. In the end, it should be evident that effective visualizations need to be based on appropriate analytics and appropriate analytics must be supported by revealing visualizations.


OTHER PAST CONFERENCES

Data Science for Business Conference and Exhibition

June 22-23, 2022 | Australia

This two-day event is being opened by the Hon Stephen Dawson, Minister for Emergency Services; Innovation and ICT; Medical Research; Volunteering. This exciting event will bring together up to 800 industry professionals and data science providers to explore how data science can be used to support the growth and innovation of WA businesses.

Data & Analytics Dubai 2022

August 30-September 1, 2022 | UAE

The avalanche of data generated by companies and their customers should be a competitive advantage, but most companies are struggling to manage it all. There aren’t any simple answers, but emerging frameworks are helping us catch up with the growth in data. In this conference we’ll focus on the role of new models for data infrastructure and the new ways and reasons to invest in data analytics.

Data2030 Summit 2022

September 29, 2022 | Sweden

Data 2030 Summit is an annual round table event gathering the Data Management community in one place and platform to discuss ways of enabling faster Data Innovation and AI deployment across the enterprise by setting up a modern Data Management strategy, platform & architecture for the new decade.

2nd Big-Data & Advanced Analytics in Power & Utilities

September 26-27, 2022 | Germany

Artificial intelligence is changing the way that many industries operate and has huge potential to transform the utilities industry. Utilities are turning to big data capabilities to help them improve asset maintenance, integrate DERs, improve demand response, and increase online customer facing applications. The 2nd virtual Big-Data & Advanced Analytics for Power & Utilities Conference, offers content for decision-makers and experts of technology strategy, analytics, data-science, and innovation from leading Energy companies. Learn how Data and analytics leaders can leverage AI to anticipate, shift and accelerate transformation in the face of disruption, uncertainty, and opportunity.

Spotlight

In scenarios drawn from the movie Minority Report, some pundits are forecasting explosive growth of visualization over the next few years. We can expect, they say, to catch terrorists, identify fraud, and flag defects -- all through visual exploration of huge collections of data. This is all supposed to happen through new widgets that allow us to sort, zoom, filter, select, highlight, and link. These tools, they say, will give us the agility of a virtual jet flying through data.Other pundits are touting the age of machine learning, in which automated algorithms will find hidden patterns, outliers, and other anomalies in big data. In this scenario, no human interaction will be necessary. The computer will figure it all out.The extreme versions of both these views are wrong. A few simple examples show why. In the end, it should be evident that effective visualizations need to be based on appropriate analytics and appropriate analytics must be supported by revealing visualizations.

resources