Data Innovation Spaces are identified by BDVA as a key instrument to foster the Data-Driven Innovation in Europe. They provide innovation and experimentation environments where companies in their respective ecosystems could have their data-driven and AI-related products and solutions piloted, tested, and exploited before going to the market. BDVA launches every year a process to identify and recognize relevant initiatives in Europe that meet specific quality criteria in infrastructures, services, projects, and sectors of application, ecosystem and sustainability (BDVA i-Spaces call for labels).
During this session, we will present the concept of BDVA i-Spaces (as it is reflected in the BDVA SRIA), the process and steps of i-Spaces labeling, the value proposition of being an i-Space and activities and examples of collaboration. The session will also include examples of first-hand experience from three recognized i-Spaces: ITAINNOVA (DIH Aragon), UPM, and Demokritos NCSR (aheed DIH).
TOWARDS COLLABORATIVE ENERGY SOLUTIONS
Tokyo, October 24th 2013
Mattia Cavanna Finmeccanica - VP New Initiatives
Interoperability, situational awareness and machine learning applied to the built environment
SydMobNet May 2014 - Lewis Benge on Wearable TechAlec Tucker
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Data Innovation Spaces are identified by BDVA as a key instrument to foster the Data-Driven Innovation in Europe. They provide innovation and experimentation environments where companies in their respective ecosystems could have their data-driven and AI-related products and solutions piloted, tested, and exploited before going to the market. BDVA launches every year a process to identify and recognize relevant initiatives in Europe that meet specific quality criteria in infrastructures, services, projects, and sectors of application, ecosystem and sustainability (BDVA i-Spaces call for labels).
During this session, we will present the concept of BDVA i-Spaces (as it is reflected in the BDVA SRIA), the process and steps of i-Spaces labeling, the value proposition of being an i-Space and activities and examples of collaboration. The session will also include examples of first-hand experience from three recognized i-Spaces: ITAINNOVA (DIH Aragon), UPM, and Demokritos NCSR (aheed DIH).
TOWARDS COLLABORATIVE ENERGY SOLUTIONS
Tokyo, October 24th 2013
Mattia Cavanna Finmeccanica - VP New Initiatives
Interoperability, situational awareness and machine learning applied to the built environment
SydMobNet May 2014 - Lewis Benge on Wearable TechAlec Tucker
Wearable Tech, presented by Lewis Benge at the May 2014 meetup of the Sydney Mobile .Net Developers Group, along with a live Google Glass demo using Xamarin.
More and more people in mega cities, more sensors, more apps, Smart is everywhere for smart living. but what's about security, what's about the people. How to deliver better living, happy living. HPE provides IoT solutions with connectivity management, processing at the edge and in the cloud, security, data management, etc to help industry verticals, telecom operators deliver secured trusted IoT solutions
Robert Lecklin - BigData is making a differenceIBM Sverige
Vad kan Big data göra för ditt företag? Låt dig inspireras av Robert Lecklin som har hjälpt flera kunder att implementera sin Big data strategi. Genom detta har de lyckats omvandlat värdelös data till värdefulla insikter. Han kommer i denna session att dela med sig av erfarenheter av kundcase där en strategi för big data gjort avgörande skillnad...
Sensing-as-a-Service - An IoT Service Provider's PerspectivesDr. Mazlan Abbas
UM-MCMC Connected Communities and Internet of Things (IoT): Building Value through Visibility
at Universiti Malaya (UM)
Wednesday, December 10, 2014 from 8:00 AM to 4:00 PM (MYT)
Kuala Lumpur, Malaysia
The Internet Services, Web and Mobile Applications, Pervasive Communication widely available today that are meeting many of our needs have stimulated production of tremendous amounts of data (call metadata, texts, emails, social media updates, photos, videos, location, etc.). The computing power available today in conjunction with trending technologies like Data Mining and Analytics, Machine Learning and Computational Linguistics provide an opportunity business and government organizations to manage, search, analyze, and visualize vast amount of data as information.
Companies named data brokers collect consumer data including behavioral and private and then sell to companies those use this data for personalized marketing and selling. There is no doubt that this is good for businesses, but is this same good for consumers? Is this just positively affects buying experience of customers? How much does reliable this kind data event for companies? How to keep a balance between new opportunities derived by Big Data to companies and privacy concern it brings to consumers?
In proposed speech we will try to find out some of the answers to these and other questions.
Internet of Things – Hype eller realitet i 2014? @ First Tuesday BergenFirst Tuesday Bergen
Under denne tittelen vil Capgemini introdusere tema Internet of Things. Og det er bare å venne seg til det med en gang: Betegnelsen er IoT (#iot). Hva er dette? Handler det bare om gadgets og moro, eller vil IoT få en reell innflytelse på vår hverdag. Noen snakker om den neste Internet revolusjonen. Og hva har egentlig IoT med Maldivene å gjøre? Er det bare muligheter innenfor IoT eller skjuler det seg et trusselbilde som får for lite fokus? Dette kan du få svar på ved å komme på neste arrangement i First Tuesday Bergen.
Fra Capgemini kommer Rolf Wangsholm, regiondirektør i Bergen og Thomas Methlie, seniorkonsulent med særlig fokus på sikkerhet.
Rolf Wangsholm har 10 års erfaring fra Capgemini. Før det har han hatt ulike roller i Bergens næringsliv knyttet til IT, økonomi og telekom. industri. Han har internasjonal erfaring fra bl.a. 4 års USA-opphold der han bl.a. jobbet med forretningsutvikling knyttet til IT outsourcing. Rolf er leder for ressursgruppe IKT i Bergen Næringsråd. I tillegg til sine lederoppgaver er Rolf opptatt av hvordan ny teknologi kan anvendes, spesielt med tanke på effektivisering av virksomheter.
Thomas Methlie Java-utvikler og har arbeidet de siste tre årene for Capgemini. Han har jobbet innen bank og finans, telekom. og offentlig sektor, blant annet med applikasjoner som krever ekstra sikkerhet. Hovedinteressen til Thomas er informasjons-sikkerhet, spesielt i web- og mobilapplikasjoner. Han har tidligere holdt foredrag både på Roots og Dataforeningen om temaet.
Grid Analytics Europe 2016: "Defend the Grid", April 2016OMNETRIC
Presentation by Jon Longstaff at Grid Analytics Europe 2016: Cyber-Secure Analytics – identifying and overcoming the security vulnerabilities of next generation grid analytics infrastructures that integrate multiple systems and data sources.
Presentation of the research activities of IMU (Information Management Unit) a multi-disciplinary research lab of the Institute of Communication and Computer Systems (ICCS) at the National Technical University of Athens, Greece.
See http://imu.iccs.gr
Future proofing your campus - How the digital revolution is changing universities approach to technology by Kelly Scott
Network and Security Sales Specialist Presented at #Networkshop42
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
More and more people in mega cities, more sensors, more apps, Smart is everywhere for smart living. but what's about security, what's about the people. How to deliver better living, happy living. HPE provides IoT solutions with connectivity management, processing at the edge and in the cloud, security, data management, etc to help industry verticals, telecom operators deliver secured trusted IoT solutions
Robert Lecklin - BigData is making a differenceIBM Sverige
Vad kan Big data göra för ditt företag? Låt dig inspireras av Robert Lecklin som har hjälpt flera kunder att implementera sin Big data strategi. Genom detta har de lyckats omvandlat värdelös data till värdefulla insikter. Han kommer i denna session att dela med sig av erfarenheter av kundcase där en strategi för big data gjort avgörande skillnad...
Sensing-as-a-Service - An IoT Service Provider's PerspectivesDr. Mazlan Abbas
UM-MCMC Connected Communities and Internet of Things (IoT): Building Value through Visibility
at Universiti Malaya (UM)
Wednesday, December 10, 2014 from 8:00 AM to 4:00 PM (MYT)
Kuala Lumpur, Malaysia
The Internet Services, Web and Mobile Applications, Pervasive Communication widely available today that are meeting many of our needs have stimulated production of tremendous amounts of data (call metadata, texts, emails, social media updates, photos, videos, location, etc.). The computing power available today in conjunction with trending technologies like Data Mining and Analytics, Machine Learning and Computational Linguistics provide an opportunity business and government organizations to manage, search, analyze, and visualize vast amount of data as information.
Companies named data brokers collect consumer data including behavioral and private and then sell to companies those use this data for personalized marketing and selling. There is no doubt that this is good for businesses, but is this same good for consumers? Is this just positively affects buying experience of customers? How much does reliable this kind data event for companies? How to keep a balance between new opportunities derived by Big Data to companies and privacy concern it brings to consumers?
In proposed speech we will try to find out some of the answers to these and other questions.
Internet of Things – Hype eller realitet i 2014? @ First Tuesday BergenFirst Tuesday Bergen
Under denne tittelen vil Capgemini introdusere tema Internet of Things. Og det er bare å venne seg til det med en gang: Betegnelsen er IoT (#iot). Hva er dette? Handler det bare om gadgets og moro, eller vil IoT få en reell innflytelse på vår hverdag. Noen snakker om den neste Internet revolusjonen. Og hva har egentlig IoT med Maldivene å gjøre? Er det bare muligheter innenfor IoT eller skjuler det seg et trusselbilde som får for lite fokus? Dette kan du få svar på ved å komme på neste arrangement i First Tuesday Bergen.
Fra Capgemini kommer Rolf Wangsholm, regiondirektør i Bergen og Thomas Methlie, seniorkonsulent med særlig fokus på sikkerhet.
Rolf Wangsholm har 10 års erfaring fra Capgemini. Før det har han hatt ulike roller i Bergens næringsliv knyttet til IT, økonomi og telekom. industri. Han har internasjonal erfaring fra bl.a. 4 års USA-opphold der han bl.a. jobbet med forretningsutvikling knyttet til IT outsourcing. Rolf er leder for ressursgruppe IKT i Bergen Næringsråd. I tillegg til sine lederoppgaver er Rolf opptatt av hvordan ny teknologi kan anvendes, spesielt med tanke på effektivisering av virksomheter.
Thomas Methlie Java-utvikler og har arbeidet de siste tre årene for Capgemini. Han har jobbet innen bank og finans, telekom. og offentlig sektor, blant annet med applikasjoner som krever ekstra sikkerhet. Hovedinteressen til Thomas er informasjons-sikkerhet, spesielt i web- og mobilapplikasjoner. Han har tidligere holdt foredrag både på Roots og Dataforeningen om temaet.
Grid Analytics Europe 2016: "Defend the Grid", April 2016OMNETRIC
Presentation by Jon Longstaff at Grid Analytics Europe 2016: Cyber-Secure Analytics – identifying and overcoming the security vulnerabilities of next generation grid analytics infrastructures that integrate multiple systems and data sources.
Presentation of the research activities of IMU (Information Management Unit) a multi-disciplinary research lab of the Institute of Communication and Computer Systems (ICCS) at the National Technical University of Athens, Greece.
See http://imu.iccs.gr
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Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
EXUS Innovation Attractor: From Carbon to Diamonds: Business cases of data value
1.
2. From carbon to diamonds:
Business cases of data value
Dimitris Vassiliadis, Head of Unit
EXUS Innovation Attractor
EDF 2014, Athens
3. Outline
Abundance of Data and its value
Enabling intelligent action in:
• Security
• Health
• Finance
Challenges of the new paradigm
3 Simple rules
EDF 2014, Athens
4. Who we are
Software house established in 1989
Enterprise software for banking, telecoms, hospitality
130+ people
Vision
transform the costly and complex enterprise software
industry – making it simple, accessible and exciting
EDF 2014, Athens
5. Innovation at EXUS
Continuous improvement
4 Islands of Excellence
Provide new paths for product and business
development
EDF 2014, Athens
Security
ICT
4
Health
Creativity
&
Learning
Data Technologies
8. From Carbon to Diamonds
Extracting value “hidden” in Data
1. Process and filter data
- ensure data matches business goals
2. Visualization
- use visual aids to identify relationships and
build hypotheses
3. Mining – identifying patterns
- Leverage data predictively
- Find clusters
- Gain insight
EDF 2014, Athens
9. From Carbon to Diamonds
Extracting value “hidden” in Data
4. Creating models
- different perspectives of data
- decision trees, neural networks, etc.
5. Results optimization
- establish functions to produce actionable results
- select appropriate method (think variables, functions)
6. Validate results
- Give time to assess results vs. business decisions
EDF 2014, Athens
11. From Carbon to Diamonds
Personalized Healthcare
Fact: Healthcare costs key cost-driver in an aging EU
Changes:
> Digitized medical records
> Transparency and openness of data
Opportunity:
> Leverage data to build next-gen. health
services
> Achieve economies of scale
> Limit variability in healthcare quality
> New paths to innovation and growth
EDF 2014, Athens
12. From Carbon to Diamonds
Personalized Healthcare
Health claims and costs
Datasets: Cost estimates,
resource utilization
Clinical Data
Datasets: electronic medical
records
Patient behavior
Datasets: patients preferences,
exercise data
Medical/ Pharma R&D Data
Datasets: Clinical trials, libraries
Opportunities for Innovation
EDF 2014, Athens
15. From Carbon to Diamonds
Secure Societies
Goals:
> Enhance the security of citizens
> Safeguard Europe’s Cis
Facts:
> Operations and procedures are data-centric
> “Need to know” Who, What, When, Where
> Public Protection and Disaster Relief
operations become data-intensive
> Diverse sources of information
EDF 2014, Athens
16. From Carbon to Diamonds
Secure Societies
Legacy Infrastructure
Datasets: monitoring systems,
CCTV, Hyper-spectral, Wireless
Sensors, Simulators
Adhoc Systems
Datasets: Satellite imagery,
positioning, UAVs, UGVs
Wearable/Portable
Datasets: First responder
operation, police forces,
medical crews
Crowd-sourced content
Datasets: Free text, pictures,
sounds, videos, location
Big
Data
VELOCITY
VARIETY
VOLUME
VERACITY
EDF 2014, Athens
17. Active Exit Signage
Wire (less) Sensor
Networks
Mobile Phones
Security Cameras
Civilians/Crowd
Civilians +
Mobile Phone
First Responders
Stewards
Roaming of
Entities
Aggregation of
Smart Spaces
Social
Networks
EDF 2014, Athens
19. From Carbon to Diamonds
Financial Services
Fact: Advances in mobile Internet and cloud services
Changes:
> Financial institutions are rethinking the way
they do business
Opportunity:
> Ability to perform scalable data analytics
> Customer data monetization
> New products and services
EDF 2014, Athens
20. From Carbon to Diamonds
Financial Services
Customer data
monetization
Transactions & Operations
Risk management and Regulations
Centricity
Risk Analysis
Retention
New products and Services
Trading and analytics
Organizational Intelligence
Enterprise risk
Capture unstructured data sources
Efficient regulatory response
EDF 2014, Athens
22. Challenges of the new paradigm
Establish an “information culture”:
What data do we really need?
Validity and trustworthiness of data
Ethics, security and privacy
What are the competences needed?
Integration with organizational processes
EDF 2014, Athens
23. 3 Simple Rules
Abundance of data becomes an opportunity for
your organization when you:
Ensure data-sets' quality and blend
Get the right expertise i.e. Data Scientists
Enforce strict operations and governance
EDF 2014, Athens