The following guiding principles for the review and discussion on current cloud computing and data analytics technology were considered:
• available technology and solutions; and
• acceptable to stakeholders such as airlines, industry operators and regulators.
(...) However, the emerging technologies can generate stronger models of normality and raise alarms if scenes deviate, and the data can be used for human behavior analytics, process-based analytics and novelty detection. (...) ITU-T Study Group 13);
12
ITU-T Focus Group on Aviation Applications of Cloud Computing for Flight Data Monitoring Existing and emerging technologies of cloud computing and data analytics
f. quantum computing (e.g.
Language:English
Score: 1173960.8
-
https://www.itu.int/dms_pub/it...pb/fg/T-FG-AC-2016-1-PDF-E.pdf
Data Source: un
Farmers and traders are moving towards technological advancements, adopting data analytics and smart farming technologies.
(...) How IoT and Predictive Analytics can solve the problems
Data can be collected from these agricultural businesses thereby leveraging technological innovations for better surveying.
(...) More from https://www.marketgalee.com/analytics
Topics:
Research, information and knowledge sharing
Technologies
Internet
machine to machine
extensionists
government(s)
information management specialists
researchers
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Language:English
Score: 1154650.6
-
https://www.fao.org/e-agricult...edictive-analytics-agriculture
Data Source: un
Farmers and traders are moving towards technological advancements, adopting data analytics and smart farming technologies.
(...) How IoT and Predictive Analytics can solve the problems
Data can be collected from these agricultural businesses thereby leveraging technological innovations for better surveying.
(...) More from https://www.marketgalee.com/analytics
Topics:
Research, information and knowledge sharing
Technologies
Internet
machine to machine
extensionists
government(s)
information management specialists
researchers
Post your comment
Log in or register to post comments
Sign in to the e-Agriculture platform
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Language:English
Score: 1154650.6
-
https://www.fao.org/e-agriculture/node/15650
Data Source: un
The energy sector, in
particular, faces these issues, as the investments in digitalization are mainly direct toward
new systems and technologies, rather than upgrading old ones.
Challenge 2 – Utility Analytics Sector Skills Availability
18. (...) Data Analytics Model Availability
29. Due to the declining costs of information and communication technology, as well as
advances in computing power, lead to an increasing availability of data and new opportunities
for its analysis. (...) As the number of renewables and other distributed technologies continue to
increase penetration to the global grid, increase complexity across the electricity system and
create new needs for data analytics and optimized analytics models.
Language:English
Score: 1150612.2
-
https://unece.org/sites/defaul....2022.INF_.3-DataAnalytics.pdf
Data Source: un
Anusha Dandapani, Chief, Data and Analytics, UNICC
As the digital business and technology shared services hub for the UN, UNICC is uniquely positioned to heed the call, embrace and implement the UN SG data strategy in every corner of the UN system. UNICC offers Data and Analytics services including consulting, implementation and managed services for decision, analytics and information capabilities, executed on a technology platform that supports an organization’s fact-based decision making.
(...) Descriptive Analytics
Analytics services consist of technologies, techniques and solutions to transform raw data into meaningful insight for business analysis and strategic decision-making through structured and unstructured data management.
Language:English
Score: 1149687.6
-
https://www.unicc.org/what-we-...ervices/data-action-portfolio/
Data Source: un
What is/could be for your administration the biggest obstacles in implementing big data analytics, artificial intelligence and machine learning technology?
(...) □ Blockchain and distributed ledger technology
□ IoT □ Big data analytics, artificial intelligence
and machine learning
Rate each one from 0 to 10; 0 is very low impact, 10 is very high impact.
(...) □ Blockchain and distributed ledger technology
□ IoT □ Big data analytics, artificial intelligence
and machine learning
Rate each one from 0 to 10; 0 is very easy, 10 is very hard.
Language:English
Score: 1149075.6
-
https://www.wto.org/english/re...ksp_e/07_wcotech22_annex_e.pdf
Data Source: un
With proper research funding support, the utility industry can realize international collaboration and fair competition in this technology space.
5. Key objectives of this paper are:
(a) Review the current challenges of big data analytics within the context of distribution grid / demand-side management.
(...) Data Analytics Model Availability
29. Due to the declining costs of information and communication technology, as well as advances in computing power, lead to an increasing availability of data and new opportunities for its analysis. (...) As the number of renewables and other distributed technologies continue to increase penetration to the global grid, increase complexity across the electricity system and create new needs for data analytics and optimized analytics models.
Language:English
Score: 1142063.1
-
https://unece.org/sites/defaul...2.INF_.3-DataAnalytics_rev.pdf
Data Source: un
PowerPoint Presentation
© 2015 MapR Technologies© 2015 MapR Technologies
MapR Streams
A global pub-sub event streaming
system for big data and IoT
Ben Sadeghi – Data Scientist, APAC
IDA Forum on IoT – Jan 18, 2016
© 2016 MapR Technologies
MapR Streams: Vision
To enable continuous,
globally scalable streaming of
event data, allowing developers to
create real-time applications
that their business can depend on.
(...) Data persistence and
direct data access to
batch processing
frameworks.
© 2016 MapR Technologies
Life Without a Converged Platform
Streaming Real-time
Open Source
Analytics
(Hadoop, Spark)
Operational Cluster
(HBase, Cassandra) Streaming Cluster
(TIBCO, IBM, Kafka)
Batch Loads
Sources Apps
Enterprise
Storage
(system of record)
© 2016 MapR Technologies
Life With a Converged Platform
Stream ProcessingBulk ProcessingSources/Apps
Only full-stack “big data” platform.
(...) MapR
maprtech
mapr-technologies
Language:English
Score: 1131532.6
-
https://www.itu.int/en/ITU-T/W...ion3/Session3-2-BenSadeghi.pdf
Data Source: un
Quantum information technology: New ITU Focus Group to hold first meeting in China
News
19 May 2020
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The new ITU Focus Group on ‘Quantum Information Technologies for Networks’ will hold its first meeting in Jinan, China, 9-10 December 2019, hosted by the Jinan Institute of Quantum Technology.
(...) The group is open to all interested parties.
< Sign-up as a participant, join the mailing list and register for the first meeting >
ITU is accelerating its preparations for the arrival of quantum information technologies – technologies based on the properties of quantum physics – recognizing that these technologies will be capable of solving problems far beyond the reach of classical information technologies.
(...) The Focus Group is co-chaired by Qiang Zhang, University of Science and Technology of China (China); Alexey Borodin, Rostelecom (Russia); and James Nagel, L3Harris Technologies (United States).
Language:English
Score: 1123647
-
https://www.itu.int/hub/2020/0...o-hold-first-meeting-in-china/
Data Source: un
1 Securing cross-border trade through advanced technologies
5
Advanced technologies have already begun to automate global
supply chains. (...) The World Customs Organization (WCO) and the World Trade Organization (WTO) have been examining blockchain and distributed ledger technology (DLT), the internet of things (IoT), and big data, data analytics, artificial intelligence (AI) and machine learning to identify how these advanced technologies can promote trade facilitation and assist customs administrations in fulfilling their objectives of ensuring, safety, security and fair revenue collection.1
The WTO sets rules in international trade and the WCO develops the relevant standards and tools relating to border formalities. (...) These technologies will continue to benefit the work of customs authorities in the future and include developments in blockchain, IoT, big data analytics, AI and machine learning, biometrics, drones, virtual and augmented reality, and 3-D printing.3
Typical areas of WCO and WTO cooperation are in customs valuation, rules of origin and trade facilitation.
6
THE ROLE OF ADVANCED TECHNOLOGIES IN CROSS-BORDER TRADE: A CUSTOMS PERSPECTIVE
Of these, three areas of advanced technology in particular play a significant role in the future work of customs authorities and in facilitating cross-border trade:
• blockchain and DLT • IoT • big data, data analytics, AI and machine learning
Blockchain and distributed ledger technology
A blockchain is a time-stamped, decentralized and distributed digital record (or ledger) of transactions in which the transactions are stored securely in a permanent and near inalterable way using various cryptographic techniques.
Language:English
Score: 1123417.3
-
https://www.wto.org/english/re...e/01_wcotech22_chapter_1_e.pdf
Data Source: un
