Team E at the Catch! Transport Systems Innovation Workshop developed a concept to use granular travel behaviour to minimise the impact of disruption on citizens from infrastructure projects.
Ingenious - Smart cities experience and data exploitationPeter Lindgren
3 real world examples of how data can deliver efficiencies in the operation of our cities - sometimes in unexpected ways. A presentation by Paul Putland, delivered at the Catch! Transport Systems Innovation Workshop.
Catch! Workshop concept 2 - Improving travel plan monitoring with better, mor...Peter Lindgren
At the Catch! Transport Systems Innovation Workshop, Team B explored how better quality travel data can deliver more effective travel planning initiatives.
Catch! - The project, the data & the challengePeter Lindgren
An overview of how the Catch! project is changing the way we understand how we move around our cities, so that city authorities can better meet our transport needs. A presentation by Peter Lindgren, delivered at the Catch! Transport Systems Innovation Workshop.
Catch! Workshop concept 4 - Transforming Home-to-School transport with target...Peter Lindgren
Team A impressed the judges at the Catch! Transport Systems Innovation Workshop with their plan to transform Home to School service provision by using detailed data to optimise routing and evaluate interventions. They proposed to use the app and facts it reveals to capture the energy and persistence of children and turn them into agents of behaviour change!
Ingenious - Smart cities experience and data exploitationPeter Lindgren
3 real world examples of how data can deliver efficiencies in the operation of our cities - sometimes in unexpected ways. A presentation by Paul Putland, delivered at the Catch! Transport Systems Innovation Workshop.
Catch! Workshop concept 2 - Improving travel plan monitoring with better, mor...Peter Lindgren
At the Catch! Transport Systems Innovation Workshop, Team B explored how better quality travel data can deliver more effective travel planning initiatives.
Catch! - The project, the data & the challengePeter Lindgren
An overview of how the Catch! project is changing the way we understand how we move around our cities, so that city authorities can better meet our transport needs. A presentation by Peter Lindgren, delivered at the Catch! Transport Systems Innovation Workshop.
Catch! Workshop concept 4 - Transforming Home-to-School transport with target...Peter Lindgren
Team A impressed the judges at the Catch! Transport Systems Innovation Workshop with their plan to transform Home to School service provision by using detailed data to optimise routing and evaluate interventions. They proposed to use the app and facts it reveals to capture the energy and persistence of children and turn them into agents of behaviour change!
Space for Smarter Government Programme (SSGP)techUK
Presented by Sara Huntingdon, Space for Smarter Government Programme Manager, UK Space Agency in the techUK Satellite Applications & Services Conference, 2nd Oct. 2015
Presentation by Anne Yvrande-Billon at the OECD Global Conference on Governance Innovation which took place in Paris on 13-14 January 2020. Further information is available at http://www.oecd.org/gov/regulatory-policy/oecd-global-conference-on-governance-innovation.htm.
IoT, Smart Mobility and the need for PositioningtechUK
Presented by Jacopo Ovarelli, External Consultant for European GNSS Agency (GSA) in the techUK Satellite Applications & Services Conference, 2nd Oct. 2015
BDE_SC4_WS3_2_Maria Rautavirta - Data Fuelling the Disruption of MobilityBigData_Europe
BigDataEurope SC4 Workshop: BigDataEurope and the Societal Challenge on Transport on 14th September 2017
Presentation: Data Fuelling the Disruption of Mobility
Bruce Thompson on digital disruption and the environment OCESAdmin
Bruce Thompson talks about land capability mapping in the Victorian context at IPAA Public Sector Week session on digital disruption and the environment, sponsored by the Commissioner for Environmental Sustainability and Nous Group.
EDF2014: Talk of Frank Kresin, Research Director, Waag Society, Netherlands: ...European Data Forum
Selected Talk of Frank Kresin, Research Director, Waag Society, Netherlands at the European Data Forum 2014, 19 March 2014 in Athens, Greece: City SDK – Smart City Services bases on Open Source Linked Open Data API’s
The Business Case for Smart Cities
• What is a Smart City?
• Where are the Smart Cities?
• Does Smart = Sustainable?
• How can the investment be justified?
• How can success be measured?
Presentation delivered Raj Mack, Head of Digital Birmingham, to a delegation of senior officials from the Government of Madhya Pradesh, India on 24 September 2015 in Birmingham.
Space for Smarter Government Programme (SSGP)techUK
Presented by Sara Huntingdon, Space for Smarter Government Programme Manager, UK Space Agency in the techUK Satellite Applications & Services Conference, 2nd Oct. 2015
Presentation by Anne Yvrande-Billon at the OECD Global Conference on Governance Innovation which took place in Paris on 13-14 January 2020. Further information is available at http://www.oecd.org/gov/regulatory-policy/oecd-global-conference-on-governance-innovation.htm.
IoT, Smart Mobility and the need for PositioningtechUK
Presented by Jacopo Ovarelli, External Consultant for European GNSS Agency (GSA) in the techUK Satellite Applications & Services Conference, 2nd Oct. 2015
BDE_SC4_WS3_2_Maria Rautavirta - Data Fuelling the Disruption of MobilityBigData_Europe
BigDataEurope SC4 Workshop: BigDataEurope and the Societal Challenge on Transport on 14th September 2017
Presentation: Data Fuelling the Disruption of Mobility
Bruce Thompson on digital disruption and the environment OCESAdmin
Bruce Thompson talks about land capability mapping in the Victorian context at IPAA Public Sector Week session on digital disruption and the environment, sponsored by the Commissioner for Environmental Sustainability and Nous Group.
EDF2014: Talk of Frank Kresin, Research Director, Waag Society, Netherlands: ...European Data Forum
Selected Talk of Frank Kresin, Research Director, Waag Society, Netherlands at the European Data Forum 2014, 19 March 2014 in Athens, Greece: City SDK – Smart City Services bases on Open Source Linked Open Data API’s
The Business Case for Smart Cities
• What is a Smart City?
• Where are the Smart Cities?
• Does Smart = Sustainable?
• How can the investment be justified?
• How can success be measured?
Presentation delivered Raj Mack, Head of Digital Birmingham, to a delegation of senior officials from the Government of Madhya Pradesh, India on 24 September 2015 in Birmingham.
Empowering citizens to turn them into co-creatorsof demand-driven public services. CO-CREATION methodology, supporting platform and tools. Ecosystem of co-created artefacts. Open Government enablling
Lakeland, FL: What would you do with Internet speeds that are 4x faster for 1/4 of the cost of the major Internet providers? With your support, we can make this a reality.
Highways Asset Management in Birmingham LoTAG 17 March 2017Teresa Jolley
An introduction to highways asset management activities happening in Birmingham and the West Midlands, presented at the London Technical Advisers Group conference 17 March 2017.
Summary by Sean Barbeau of the executive summary of the Smart Columbus USDOT Smart Cities Challenge (https://d2rfd3nxvhnf29.cloudfront.net/inline-files/Smart%20City%20Challenge-%20USDOT%20Executive%20Summary.pdf) released June 2021.
The Transit Tech Lab is an accelerator program for startups solving public transportation challenges. Successful companies have an opportunity to pilot their technology with the MTA and transform New York City. Applications close Nov 30, 2018!
Presentation given on 28 November 2013 at the Institute for Transport Studies (ITS) www.its.leeds.ac.uk
By James Bennett from METRO www.wymetro.com
Covering the importance of Smartcards from the customer viewpoint, implementation, issues arising from implementation and the benefits associated with implementation.
This Smart Region ambition of the regional council is declined into five operational pillars driving our action in terms of digital transformation of territories and organizations.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).