NOESIS aims to provide a robust methodological framework (Decision Support tool) and data-driven evidence to enable the deployment of a Big Data in Transport ecosystem in Europe, by addressing the associated technological, institutional/legal, business, and policy challenges.
Big Data in Transport: Gaps and OpportunitiesNOESIS project
The aim of this presentation is to present the main gaps and opportunities that exist in the Big Data in Transport domain. The results of this presentation are part of NOESIS project (https://noesis-project.eu).
NOESIS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 769980.
EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...European Data Forum
Selected Talk by Kush Wadhwa, Senior Partner, Trilateral Research & Consulting at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Addressing risks and opportunities engendered by big data: The BYTE project
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...European Data Forum
Selected Talk by Rüdiger Eichin, Research Manager at SAP AG, Germany at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Deriving Value from Big Data for Enterprise Performance Management.
EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...European Data Forum
Selected Talk by Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, Italy at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Toward Personal Big Data passing through user Transparency, Control and Awareness: a Living-Lab Experience
EDF2014: José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public S...European Data Forum
Selected Talk of José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public Services Department, Entidad Publica Empresarial Red.es at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Aporta Project: National Strategy for encourage PSI in Spain
Big Data in Transport: Gaps and OpportunitiesNOESIS project
The aim of this presentation is to present the main gaps and opportunities that exist in the Big Data in Transport domain. The results of this presentation are part of NOESIS project (https://noesis-project.eu).
NOESIS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 769980.
EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...European Data Forum
Selected Talk by Kush Wadhwa, Senior Partner, Trilateral Research & Consulting at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Addressing risks and opportunities engendered by big data: The BYTE project
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...European Data Forum
Selected Talk by Rüdiger Eichin, Research Manager at SAP AG, Germany at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Deriving Value from Big Data for Enterprise Performance Management.
EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...European Data Forum
Selected Talk by Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, Italy at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Toward Personal Big Data passing through user Transparency, Control and Awareness: a Living-Lab Experience
EDF2014: José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public S...European Data Forum
Selected Talk of José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public Services Department, Entidad Publica Empresarial Red.es at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Aporta Project: National Strategy for encourage PSI in Spain
At Finpro's seminar on May 4, Tom Warras from Tekes spoke about a new campaign for pilots and demos in the biotechnology, cleantech and digital industries.
OPEN DEI Webinar "Business opportunities for Digital Transformation through the ecosystem of Digital Innovation Hubs in Europe"
14 May 2020
Giorgio Micheletti (OPEN DEI Coordinator, IDC)
EDF2014: Dimitris Vassiliadis, Head of Unit, EXUS Innovation Attractor: From ...European Data Forum
Selected Talk by Dimitris Vassiliadis, Head of Unit, EXUS Innovation Attractor at the European Data Forum 2014, 20 March 2014 in Athens, Greece: From Carbon to Diamonds: Business cases of data value.
Leveraging Big Data to Manage Transport Operations (LeMO) project will address these issues by investigating the implications of the utilisation of such big data to enhance the economic sustainability and competitiveness of European transport sector. The project will study and analyse big data in the European transport domain in particular with respect to five transport dimensions: mode, sector, technology, policy and evaluation. LeMO will accomplish this by conducting a series of case studies, in order to provide recommendations on the prerequisites of effective big data implementation in the transport field.
At Finpro's seminar on May 4, Tom Warras from Tekes spoke about a new campaign for pilots and demos in the biotechnology, cleantech and digital industries.
OPEN DEI Webinar "Business opportunities for Digital Transformation through the ecosystem of Digital Innovation Hubs in Europe"
14 May 2020
Giorgio Micheletti (OPEN DEI Coordinator, IDC)
EDF2014: Dimitris Vassiliadis, Head of Unit, EXUS Innovation Attractor: From ...European Data Forum
Selected Talk by Dimitris Vassiliadis, Head of Unit, EXUS Innovation Attractor at the European Data Forum 2014, 20 March 2014 in Athens, Greece: From Carbon to Diamonds: Business cases of data value.
Leveraging Big Data to Manage Transport Operations (LeMO) project will address these issues by investigating the implications of the utilisation of such big data to enhance the economic sustainability and competitiveness of European transport sector. The project will study and analyse big data in the European transport domain in particular with respect to five transport dimensions: mode, sector, technology, policy and evaluation. LeMO will accomplish this by conducting a series of case studies, in order to provide recommendations on the prerequisites of effective big data implementation in the transport field.
7th Session: Workshop II on a Roadmap to Future Government
In this session we proceed to presentations and discussion concerning the the development of the new roadmap for digital government. Two projects (Gov3.0 and Big Policy Canvas) will join forces in this exciting endeavor.
Organizers: Maria Wimmer, Professor, Koblentz University, Germany; Francesco Mureddu, Associate Directorr, Lisbon Council, Belgium; Juliane Schmeling Fraunhofer Institut FOKUS, Researcher, Germany; Shoumaya Ben Dhaou, Researcher, United Nations University, PT
Leveraging Big Data to Manage Transport Operations (LeMO) project will address these issues by investigating the implications of the utilisation of such big data to enhance the economic sustainability and competitiveness of European transport sector. The project will study and analyse big data in the European transport domain in particular with respect to five transport dimensions: mode, sector, technology, policy and evaluation. LeMO will accomplish this by conducting a series of case studies, in order to provide recommendations on the prerequisites of effective big data implementation in the transport field.
Leveraging Big Data to Manage Transport Operations (LeMO) project will address these issues by investigating the implications of the utilisation of such big data to enhance the economic sustainability and competitiveness of European transport sector.
Workshop II on a Roadmap to Future GovernmentSamos2019Summit
In this session we proceed to presentations and discussion concerning the the development of the new roadmap for digital government. Two projects (Gov3.0 roadmap and Big Policy Canvas) will join forces in this exciting endeavor.
Organizers: Maria Wimmer, Professor, Koblentz University, Germany; Francesco Mureddu, Associate Directorr, Lisbon Council, Belgium; Juliane Schmeling Fraunhofer Institut FOKUS, Researcher, Germany; Shoumaya Ben Dhaou, Researcher, United Nations University, PT
BDVe Webinar Series - Big Data for Public Policy, the state of play - Roadmap...Big Data Value Association
Do you know how data-driven approaches can influence the policy cycle and the benefits derived from this? Have you ever participated in a policy-lab, collaborating with other stakeholders to develop and test a policy? In this session, Anne Fleur van Veenstra from TNO will delve into current practices, insights and lessons learnt from current policy-lab projects, followed by Francesco Mureddu, from the Lisbon Council, who will look ahead and identify the main challenges and opportunities by presenting and discussing a roadmap for Future Research Directions in data-driven Policy Making.
"Towards Value-Centric Big Data" e-SIDES Workshop - Slide-decke-SIDES.eu
This is the slide-deck of the workshop held at the BDV Meet-UP on June 27, 2019 in Riga, titled "Towards Value-Centric Big Data". It includes the presentations given by the speakers.
I principali risultati del progetto sono: la federazione dei portali delle Regioni partecipanti, che permette di effettuare ricerche di dati contemporaneamente su tutti i portali, anche attraverso soluzioni per la transnazionalità di metadati; le app sviluppate - a partire dai dati liberati nel progetto - nel contesto di HACK4MED, hackathon internazionale che si è svolto in sei sedi di cinque paesi diversi.
Il progetto ha recentemente organizzato un evento, nel contesto dell’European week of regions and cities 'Open Days 2014', in cui si è discusso del futuro degli Open Data nella Agenda Digitale Europea.
More info: http://homerproject.eu/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
3. http://noesis-project.eu
NOESIS in a nutshell
Lack of a robust
methodology for
understanding and predicting
the potential value and
benefits generated from big
data applications in transport
against the associated
investment risks.
To investigate the
implications of the
utilisation of big data in the
transport field.
NOESIS aims to identify the
critical factors/features
which lead to successful
implementation of Big Data
technologies and services in
the field of transport and
logistics with significant
value generation from a
socioeconomic viewpoint.
The problem Main challenge Solution
NOESIS project presentation 3
4. http://noesis-project.eu
NOESIS vision
NOESIS project presentation 4
Provide a robust methodological framework (Decision Support tool) and data-driven evidence
to enable the deployment of a Big Data in Transport ecosystem in Europe, by addressing the
associated technological, institutional/legal, business, and policy challenges.
Decision Support tool which will be able to assess the value
generated (i.e. socioeconomic impact) from Big Data investments,
taking as input the specific characteristics and contextual information
of the transport system under evaluation and associating it with a
predefined set of use cases with similar characteristics by employing a
number of big data (machine learning) techniques.
Main outcome
5. http://noesis-project.eu
NOESIS objectives (1/2)
NOESIS project presentation 5
To build and maintain the first organized collection of use cases for Big Data
applications and services in the field of transport and logistics.
To investigate the pattern(s) behind the success (and failure?) of big data
services/investments in terms of value generation.
To identify the methodological issues and to develop appropriate tools in order to
allow for effective data mining and data exploitation for transport related challenges.
To develop an Impact Assessment methodology for assessing the socioeconomic
impact of Big data applications.
01
02
03
04
WP3
WP2
WP5
WP2
6. http://noesis-project.eu
NOESIS objectives (2/2)
NOESIS project presentation 6
To create new business opportunities for SMEs of the new Economy in providing
high quality and low cost, big data applications in transport.
To create a Responsible Code of conduct for big data management in transport.
To develop a methodology for assessing the socio-economic value of Big Data
applications, in order to boost social inclusion in service provision and opportunities
throughout Europe.
To provide know-how and methodological ideas to big data domains outside
transport for the transfer of the methodological approach.
05
06
07
08
WP4
WP2
WP5
WP6
WP5
To provide an integrated policy analysis tool in respect to big data implementation.09 WP4
8. http://noesis-project.eu
NOESIS methodology
NOESIS project presentation 8
Value CaptureLearning process (big data approach)Transport domain features and cases
Classification of Big
Data Transport
challenges
Transport
use cases
Big Data
products
Big Data in
Transport
Library
Learning Framework
Features /
scores selection
and values
Decision
Support Tool
Machine Learning
Supervised / Unsupervised learning
techniques
Score 1
Score 2
Score n
Impact
Assessment
Methodology
Pillar 1 Pillar 2 Pillar 3
Data Benefit
Analysis
9. http://noesis-project.eu
Pillar 1 - NOESIS Big Data in Transport Library
NOESIS project presentation 9
03
Transport use cases (systemic description)
Expected value generated (“label”) for
each pair of transport use case and
associated Big Data application (Data
Benefit Analysis)
Annotated list of
Big data applications
Big Data applications in
Transport Library
04
02
01
10. http://noesis-project.eu
Pillar 2 - NOESIS Learning (Big Data) Framework
NOESIS project presentation 10
Value GeneratedMachine Learning
Data Benefit
Analysis
Big Data in
Transport Library
Large set of
use cases
(“training
examples” /
“training set”)
Supervised Learning
Unsupervised Learning
Initial set of evaluation
criteria and KPIs that
assess and quantify the
benefits derived from Big
Data applications in
Transport Use cases
Insights on
value
generated
from big data
applications
for transport
projects
11. http://noesis-project.eu
Pillar 3 - NOESIS Value capture mechanism
NOESIS project presentation 11
Translate the benefits
identified in Data
Benefit Analysis into
socio-economic value
Define potential
business models to
facilitate the adoption
of big data applications
for public and private
stakeholders
Impact Assessment
Methodology
Business models
13. http://noesis-project.eu
NOESIS work plan
NOESIS project presentation 13
WP1: Project Management
WP6 Dissemination, Communication and Exploitation
Task 2.1
Emerging
transportation
challenges in the
era of Big Data
and optimization
Task 2.2
Overview of Big
Data technologies,
data availability
and gaps: Big Data
products for
transport
Task 2.3
Identification of
transport related
features for Big
Data investments
and services
Task 2.4
Set-up of a
European Big
Data Transport
Library
Task 3.1
Decision Support
tool architecture
Task 3.2
Development
and validation of
the Decision
Support tool
Task 5.1
Impact
assessment of
big data for
transport
Task 5.2
Business and
organizational
models
Task 5.3
Technological and policy
roadmaps for Big Data
investments in Transport
Task 4.1
Legal barriers and
constraints
Task 4.2
Business and
organizational models
Task 4.3
Key lessons learnt and
transferable practices
WP7:Ethics
WP2: Transport Planning paradigm shift
and Big Data Use Cases
WP5: Social added value, business models
and sustainability
WP3: Big Data Learning Framework
WP4: Key lessons learnt from cross
transport sectors and contexts
15. http://noesis-project.eu
NOESIS impact
NOESIS project presentation 15
Help to take evidence-based decisions (for policy makers, transport companies)
Consolidate our knowledge on big data methodological and exploitation issues
Tackle the lack of a holistic evaluation framework that seeks to comprehensively
understand and assess the impact of the various big data
Identify critical issues to design a legal framework
01
02
03
04
17. http://noesis-project.eu
NOESIS consortium
NOESIS project presentation 17
Ortelio Ltd
United Kingdom
Technical University of Munich
Germany
Coventry University Enterprises Ltd
United Kingdom
University of Belgrade,
The Faculty of Transport and Traffic
Engineering Serbia
Leibniz Supercomputing Centre
Germany
Royal Institute of Technology in Stockholm
Sweden
Universidad Politécnica De Madrid
Spain
Macomi
Netherlands
18. Thank you!
NOESIS project has received funding by the Horizon 2020 research and innovation
programme of the European Union (No 769980).
http://noesis-project.eu
info@ortelio.co.uk
NOESIS project presentation 18