Big data analytics can provide insights to improve every aspect of transportation. It allows for better planning of infrastructure, traffic management, public transit systems, fleet maintenance, and influencing user behavior. Countries are collecting vast amounts of transportation data from sensors, mobile devices, and vehicles to reduce congestion, optimize traffic light timing, implement road pricing schemes, and improve public transit based on demand. Governments are establishing data officer and analyst positions and developing strategies and standards to maximize the benefits of big data while protecting privacy and enabling innovation.
What is the Digital Twin?
Digital twin is the ability to make a virtual representation of the physical elements and the dynamics of how an Internet of Things device operates and works. It's more than a blueprint, it's more than a schematic. It's not just a picture. It's a lot more than a pair of ‘virtual reality’ glasses. It's a virtual representation of both the elements and the dynamics of how an Internet of Things device responds throughout its lifecycle. It can be a jet engine, a building, process on factory floor, and much, much more.
Watch the video introduction of this keynote presentation from Genius of Things Summit in Munich https://youtu.be/RaOejcczPas
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
With the advance of virtual reality technologies like HMD (head-mounted-displays) creatives together with UX/UI designers face today one of the most exciting moments one could ever ask for – the challenge of a new medium and the opportunity to create a range of symbology which will help design great immersive and engaging experiences.
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications.
Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT.
Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1
What is the Digital Twin?
Digital twin is the ability to make a virtual representation of the physical elements and the dynamics of how an Internet of Things device operates and works. It's more than a blueprint, it's more than a schematic. It's not just a picture. It's a lot more than a pair of ‘virtual reality’ glasses. It's a virtual representation of both the elements and the dynamics of how an Internet of Things device responds throughout its lifecycle. It can be a jet engine, a building, process on factory floor, and much, much more.
Watch the video introduction of this keynote presentation from Genius of Things Summit in Munich https://youtu.be/RaOejcczPas
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
With the advance of virtual reality technologies like HMD (head-mounted-displays) creatives together with UX/UI designers face today one of the most exciting moments one could ever ask for – the challenge of a new medium and the opportunity to create a range of symbology which will help design great immersive and engaging experiences.
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications.
Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT.
Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1
It has been said that Mobiles +Cloud + Social + Big Data = Better Run The World. IBM has invested over $20 billion since 2005 to grow its analytics business, many companies will invest more than $120 billion by 2015 on analytics, hardware, software and services critical in almost every industry like ; Healthcare, media, sports, finance, government, etc.
It has been estimated that there is a shortage of 140,000 – 190,000 people with deep analytical skills to fill the demand of jobs in the U.S. by 2018.
Decoding the human genome originally took 10 years to process; now it can be achieved in one week with the power of Analytic and BI (Business Intelligence). This lecture’s Key Messages is that Analytics provide a competitive edge to individuals , companies and institutions and that Analytics and BI are often critical to the success of any organization.
Methodology used is to teach analytic techniques through real world examples and real data with this goal to convince audience of the Analytics Edge and power of BI, and inspire them to use analytics and BI in their career and their life.
Introduction to various data science. From the very beginning of data science idea, to latest designs, changing trends, technologies what make then to the application that are already in real world use as we of now.
In this presentation, let's have a look at What is Data Science and it's applications. We discussed most common use cases of Data Science.
I presented this at LSPE-IN meetup happened on 10th March 2018 at Walmart Global Technology Services.
Drone Security & Law Enforcement (Chris Church) - DroneSec GDSN#2DroneSec
Speaker: Christopher Church (INTERPOL)
Talk Recording: https://www.youtube.com/watch?v=eaUIk5_5aKI
The Global Drone Security Network (GDSN) is the only event of its kind focusing on Cyber-UAV security, Drone Threat Intelligence, Counter-UAS, and UTM security.
Speaker profile:
https://www.linkedin.com/in/christopher-church-aa7aa144/
DroneSec is a cyber-uav security and threat intelligence company who hosted this second series of the GDSN community event..
https://dronesec.com/
Big Data is the new buzz word doing rounds these days. What is Big Data? How can be it used for advertising? Which companies use Big Data? How do they use it? What are benefits of Big Data? Know it all!
This presentation is an Introduction to the importance of Data Analytics in Product Management. During this talk Etugo Nwokah, former Chief Product Officer for WellMatch, covered how to define Data Analytics why it should be a first class citizen in any software organization
It has been said that Mobiles +Cloud + Social + Big Data = Better Run The World. IBM has invested over $20 billion since 2005 to grow its analytics business, many companies will invest more than $120 billion by 2015 on analytics, hardware, software and services critical in almost every industry like ; Healthcare, media, sports, finance, government, etc.
It has been estimated that there is a shortage of 140,000 – 190,000 people with deep analytical skills to fill the demand of jobs in the U.S. by 2018.
Decoding the human genome originally took 10 years to process; now it can be achieved in one week with the power of Analytic and BI (Business Intelligence). This lecture’s Key Messages is that Analytics provide a competitive edge to individuals , companies and institutions and that Analytics and BI are often critical to the success of any organization.
Methodology used is to teach analytic techniques through real world examples and real data with this goal to convince audience of the Analytics Edge and power of BI, and inspire them to use analytics and BI in their career and their life.
Introduction to various data science. From the very beginning of data science idea, to latest designs, changing trends, technologies what make then to the application that are already in real world use as we of now.
In this presentation, let's have a look at What is Data Science and it's applications. We discussed most common use cases of Data Science.
I presented this at LSPE-IN meetup happened on 10th March 2018 at Walmart Global Technology Services.
Drone Security & Law Enforcement (Chris Church) - DroneSec GDSN#2DroneSec
Speaker: Christopher Church (INTERPOL)
Talk Recording: https://www.youtube.com/watch?v=eaUIk5_5aKI
The Global Drone Security Network (GDSN) is the only event of its kind focusing on Cyber-UAV security, Drone Threat Intelligence, Counter-UAS, and UTM security.
Speaker profile:
https://www.linkedin.com/in/christopher-church-aa7aa144/
DroneSec is a cyber-uav security and threat intelligence company who hosted this second series of the GDSN community event..
https://dronesec.com/
Big Data is the new buzz word doing rounds these days. What is Big Data? How can be it used for advertising? Which companies use Big Data? How do they use it? What are benefits of Big Data? Know it all!
This presentation is an Introduction to the importance of Data Analytics in Product Management. During this talk Etugo Nwokah, former Chief Product Officer for WellMatch, covered how to define Data Analytics why it should be a first class citizen in any software organization
100%Open - Autumn Union - feat. Department for Transport - "Digital Mobility:...David Simoes-Brown
On Wednesday 11th September, 100%Open and Department for Transport joined forces to present an open innovation topic in the transport sector - digital mobility. Our Speakers included, Meera Nayyar, Passenger Experience Team Leader at DfT, David Rajan, (Founder & Chairman at Centaur) Alex Shapland-Howes (Co-founder of Tandem) and Amit Tzur (Consultant at Deloitte), Warwick Goodall (Partner at PA Consulting) Craig Nelson ( Business Development Director at Swiftly) Richard Mason (Information Manager at Transport for the North) Ian Wright (Head of Innovation and Partnerships at Transport Focus) and Daniel Hobbs ( Principal Technologist).
E. Baldacci, 30 Novembre - 1 Dicembre 2021 -
Webinar: Sistemi moderni di integrazione dei dati: l’esperienza dell’Istat e di altri attori
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Closing plenary: 'The future of public sector websites', at Building Perfect Council Websites 11, 14 July 2011 #BPCW11 Speakers: Paul Davidson and Ingrid Koehler
100%Open - Autumn Union - feat. Department for Transport - "Digital Mobility:...David Simoes-Brown
On Wednesday 11th September, 100%Open and Department for Transport joined forces to present an open innovation topic in the transport sector - digital mobility. Our Speakers included, Meera Nayyar, Passenger Experience Team Leader at DfT, David Rajan, (Founder & Chairman at Centaur) Alex Shapland-Howes (Co-founder of Tandem) and Amit Tzur (Consultant at Deloitte), Warwick Goodall (Partner at PA Consulting) Craig Nelson ( Business Development Director at Swiftly) Richard Mason (Information Manager at Transport for the North) Ian Wright (Head of Innovation and Partnerships at Transport Focus) and Daniel Hobbs ( Principal Technologist).
The hype and the hope: Progressing towards big data insights for regional com...Helen Thompson
Helen Thompson, Peter Dahlhaus & Andrew MacLeod
Federation University Australia, Ballarat, Victoria
In this age of ‘big data’ virtually every field of research and practice is being redefined. Governments are adopting open data policies with the aim of delivering efficiency benefits, increasing evidence based planning, enhancing productivity and innovation. Inescapable discussions around big data and analytics are partly in response to an increased availability of next generation broadband and mobile technologies which have created a society that is spatially enabled and aware. Big business and citizens increasingly expect to be able to access past and current information about any location to find answers to their spatial queries. Opportunities are emerging for regional communities to take initiative and eradicate information silos which may have hindered regional collaboration and innovation. In parallel with assisting regions to embrace big data and foster data sharing a range of research questions arise:
1. What are the best methods to provide access to big and complex data, to assist decision makers?
2. How can digital technologies be used to enhance, rather than repeat, past research?
3. Can qualitative data be used to improve the accuracy of quantitative data or metadata?
4. How can we harness Citizen Science and include crowd-sourced data, while minimising subjective bias and maintaining accuracy?
Interoperable spatial knowledge systems with dynamic modelling and visualisation capabilities have been developed in response to these research challenges. Examples are provided of systems developed in a variety of fields including groundwater research, catchment management, and strategic planning for bushfire.
FIWARE Global Summit - The Digital Single Market - Benefits and Solutions for...FIWARE
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FIWARE Global Summit
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Local Open Data: A perspective from local government in England by Gesche SchmidOpening-up.eu
Local Open Data: A perspective from local government in England
to help government and companies to
develop innovative services through the
use of open data and to encourage smart
use of Social Media
Evolving technologies and changes in user preferences require ICT regulators to react dynamically and in an agile manner to facilitate fair competition and protect consumers.
The lines between sector- and subject-specific regulators may need to be redrawn. In some cases, more specialised regulators may need to be established, eg a data protection agency or a spectrum agency.
Evolving technologies also provide ICT regulators opportunities to become more effective and fine-tune tools. Big data and advances in AI allow regulators to become agile and dynamic, enabling precision, evidence-based regulations.
Sheffield why open data matters to local government officers - tim adams lgaLG Inform Plus
Presentation given by Tim Adams Local Government Association LGA LG Inform Plus programme manager on the importance of open data to public sector officers and to local government policy. Given at Sheffield City Open Data Event - 10-July-2015
Similar to Big Data Analytics in Transportation (20)
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Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
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Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
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Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
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5. Big Data in Transportation
• Data analytics can provide insights for every aspect of transportation
• Planning of transportation infrastructure
• Traffic management
• Customized, flexible and convenient public transportation systems
• Influencing behaviour
• Fleet maintenance
7. Congestion management
• In Europe infrastructure congestion
costs 1% of GDP (McKinsey)
• Mobile service providers and navigation
companies collect billions of traffic
measurement points daily; using this
data to reduce congestion could result,
by 2020, in worldwide savings of
US$500 billion in time and fuel, and 380
megatons of CO2 emissions.
8. Singapore
• Implementing a system based on Global
Navigation Satellite System (GNSS) technology
and in-vehicle units to get aggregated,
comprehensive and real-time data on road traffic.
• Better switching of traffic lights
• Distance, time, location and vehicle type based
road pricing scheme
9. Source: Mid-to Long-Term Master Plan in Preparation for the Intelligent Information Society Managing the Fourth
Industrial Revolution (South Korea)
South Korea’s Plans for Next Generation Transport
10. Data analytics as behavioral tool - Uber
• “We show drivers areas of high demand or
incentivize them to drive more,” said Michael
Amodeo, an Uber spokesman.
• Drivers sent their next fare opportunity before
their current ride is over.
• In the future monitoring braking and
acceleration speed, could indicate whether
someone is driving erratically and may need to
rest.
11. GE Transportation’s Evolution Series Tier 4 Locomotive
• Has more than 200 sensors that collect
gigabytes of information, processing over
one billion instructions per second.
• The Tier 4 uses on-board edge
computing to analyze data and apply
algorithms for running smarter and more
efficiently.
13. “As Chief Data Scientist, DJ will help shape policies and practices to help the U.S.
remain a leader in technology and innovation, foster partnerships to help
responsibly maximize the nation’s return on its investment in data, and help to
recruit and retain the best minds in data science to join us in serving the public”.
14. Duties: Chief Data Officer (US Department of Transportation)
• Manage the open government data effort, including coordinating how we offer
APIs and create public data products.
• Increase the effectiveness in efficiency in managing data, analyzing the public
value of the data we have, and collaborating across the Department to share
data.
• Improve how the agency collects, uses, manages, and publishes data.
• Lead the agency efforts to track data collections, data purchases, databases,
physical data models, and linkages between datasets.
• Improve data quality and how we measure data quality
Source: USA Jobs
16. New South Wales Data Analytics Center
• Establish and maintain a register of data assets
• Coordinate consistent data management definitions
and standards
• Advise on making de-identified data open to the
public
• Advise on best practice data analytics, cyber
security and privacy measures
17.
18. Public Private Partnerships
• U.S Department of Transport’s partnership with
Sidewalk Labs, a subsidiary of Google’s parent
company Alphabet, to develop Flow.
• Flow is a data and analytics platform designed to
create a management and monitoring system for
public transportation, using aggregated, anonymized
data from billions of trip miles, including proprietary
data from Waze and Google Maps.
19. Communication from the European Commission in the context
of Building a European Data Economy
• In transport, the shift towards cooperative, connected and automated mobility
can reduce accidents, pollution and congestion, and enhances traffic and capacity
management as well as energy efficiency.
• In this context, standards ensuring interoperability across transport
infrastructure, data, applications, services and networks are key.
• Switzerland and Norway have expressed their readiness to cooperate on cross-
border trials on road safety, access to data, data quality and liability, connectivity
and digital technologies.
20. EU’s General Data Protection Regulation (GDPR)
• Will strengthen and unify data protection for all individuals within the EU
• The GDPR will give citizens and residents control of their personal data and will
simplify the regulatory environment for international business by unifying the
regulation within the EU
• The regulation was adopted on 27 April 2016 and will apply from 25 May 2018
21. Germany: White Paper on Digital Platforms
• Creating a legal framework to prevent exclusivity rights to data which hamper
competition.
• Access to data is to be strengthened by using cartel law and also by way of sector-
specific regulations.
• European General Data Protection Regulation creates a good foundation for more
data sovereignty and portability as well as providing the right incentives for the
anonymization and pseudonymization of data.
• Companies must also provide information about the commercial use of personal
data so that users are made more aware that seemingly free services are funded
by the sale of data.
22. Big Data Strategy: Data continuum
• Generation
• Capture
• Transmission
• Storage
• Security
• Sharing
• Analytics
• Cognification
• Legal, regulatory and institutional
23. South Korea Showcase
Mid-to Long-Term Master Plan in Preparation for the Intelligent Information Society
Managing the Fourth Industrial Revolution
24.
25. Data goals
Source: Mid-to Long-Term Master Plan in Preparation for the Intelligent Information Society Managing the Fourth
Industrial Revolution (South Korea)
26. Source: Mid-to Long-Term Master Plan in Preparation for the Intelligent Information Society Managing the Fourth
Industrial Revolution (South Korea)
27. Source: Mid-to Long-Term Master Plan in Preparation for the Intelligent Information Society Managing the Fourth
Industrial Revolution (South Korea)
28. Source: Mid-to Long-Term Master Plan in Preparation for the Intelligent Information Society Managing the Fourth
Industrial Revolution (South Korea)