IOT//EDI#28 (Internet of Things Scotland Meetup, Edinburgh) 22 Feb, 6-9PM, SkyscannerHQ. Speakers: Al Bennett (Sensational Systems), Frank Van Geertruyden (DataBroker DAO), and Jason Frame (Curious Chip).
Databroker DAO Pitchdeck (February 20, 2018)DataBroker DAO
The document discusses the growing market for sensor data from IoT devices. It notes that the global IoT sensor market reached $600 billion in 2015 and is expected to reach $1.2 trillion by 2019. Though corporations and governments own 90% of sensors, only 10% of the data they produce is valuable to third parties, representing a potential $30-90 billion secondary market. The document introduces Databroker DAO, a blockchain-based marketplace that aims to unlock this value by enabling the monetization and sharing of sensor data between primary owners and secondary buyers.
Abel Aguiar - Startups as an engine for IoT development - Productized16Productized
The explosion of Internet of Things objects connected around the world opens a path for startups to develop innovative solutions, which can change daily’s people lives and radically change the way companies interact and do business.
With this purpose, PT Empresas launched its first edition of IoT Challenge PT, whose winners and ideas will be shared in this session.
Protecting ISP Networks and the Internet at Inform[ED] IoT SecurityCableLabs
Insecure IoT devices have enabled the largest DDoS service attacks on the internet to date and are threatening the basic functionality of the Internet. A panel of experts will discuss how ISPs are working to mitigate these attacks and protect their networks and the Internet from the growing number of insecure devices.
Rich Compton
Principal Engineer, Charter Communications
Michael Glenn
Vice President Security Services, CableLabs
Brian Rexroad
VP, Security Platforms, AT&T
Clarke Stevens, Moderator
Principal Architect, Shaw Communications
André van der Walt
Interim VP & CISO, Liberty Global
https://www.cablelabs.com/informed/
Perspectives of Telecommunications in CALA - ECI Telecom - 20/10/2016Renato Cruz
The document discusses several trends in telecommunications including:
1) By 2020, global IP traffic will reach 2.3 zettabytes per year and Latin American IP traffic will grow at a 21% compound annual growth rate.
2) The internet of things market is growing rapidly and airlines can generate half a terabyte of data per flight.
3) Fifth generation cellular networks will provide over 12 gigabits per second speeds to users and sub-millisecond latency for applications like self-driving cars.
4) Global fixed broadband speeds are expected to grow at a 14% compound annual growth rate through 2020 with Latin America seeing an 18% growth rate.
The Brussels Development Briefing n. 55 on "Opportunities of blockchain for agriculture" organised by CTA, the European Commission/EuropeAid, the ACP Secretariat, Concord and BMZ was held on 15th May 2019 (9h00-13h00) at the ACP Secretariat, Avenue Georges Henri 451, 1200 Brussels, Room C.
Over the next few years, there will be a rapid growth in internet-connected devices beyond just computers, laptops, tablets, and smartphones. It is estimated that by 2020, there will be up to 21 billion connected devices worldwide. The document discusses 5 predictions for trends in the Internet of Things, including devices being centrally managed, having powerful triggers, working faster and smarter, using technologies like RFID and Bluetooth, and having applications in areas like connected cars and smart homes.
1) By 2020, 75% of businesses will become fully digital but only 30% of digitization efforts will be successful. Also, 40% of enterprises may no longer exist in 10 years if they do not disrupt or get disrupted.
2) The rise of the Internet of Everything will have 5-10x the impact of the internet to date, connecting people, processes, data and things. This will require transforming core processes, new skill sets, partners, business models and products/services.
3) Security challenges are immense with the digitization of everything, as 60% of business leaders are reluctant to innovate due to cyber risks, and the global cybercrime market is estimated at $450 billion to $
The Rise of Enterprise Data Stories in Data Visualization by Erik Laurijssen ...Patrick Van Renterghem
Presentation by Erik Laurijssen (CEO, Datylon): "The Rise of Data Stories in the Enterprise for Data Visualization" at the BI & Data Analytics Summit on June 13th in Diegem (Belgium)
Databroker DAO Pitchdeck (February 20, 2018)DataBroker DAO
The document discusses the growing market for sensor data from IoT devices. It notes that the global IoT sensor market reached $600 billion in 2015 and is expected to reach $1.2 trillion by 2019. Though corporations and governments own 90% of sensors, only 10% of the data they produce is valuable to third parties, representing a potential $30-90 billion secondary market. The document introduces Databroker DAO, a blockchain-based marketplace that aims to unlock this value by enabling the monetization and sharing of sensor data between primary owners and secondary buyers.
Abel Aguiar - Startups as an engine for IoT development - Productized16Productized
The explosion of Internet of Things objects connected around the world opens a path for startups to develop innovative solutions, which can change daily’s people lives and radically change the way companies interact and do business.
With this purpose, PT Empresas launched its first edition of IoT Challenge PT, whose winners and ideas will be shared in this session.
Protecting ISP Networks and the Internet at Inform[ED] IoT SecurityCableLabs
Insecure IoT devices have enabled the largest DDoS service attacks on the internet to date and are threatening the basic functionality of the Internet. A panel of experts will discuss how ISPs are working to mitigate these attacks and protect their networks and the Internet from the growing number of insecure devices.
Rich Compton
Principal Engineer, Charter Communications
Michael Glenn
Vice President Security Services, CableLabs
Brian Rexroad
VP, Security Platforms, AT&T
Clarke Stevens, Moderator
Principal Architect, Shaw Communications
André van der Walt
Interim VP & CISO, Liberty Global
https://www.cablelabs.com/informed/
Perspectives of Telecommunications in CALA - ECI Telecom - 20/10/2016Renato Cruz
The document discusses several trends in telecommunications including:
1) By 2020, global IP traffic will reach 2.3 zettabytes per year and Latin American IP traffic will grow at a 21% compound annual growth rate.
2) The internet of things market is growing rapidly and airlines can generate half a terabyte of data per flight.
3) Fifth generation cellular networks will provide over 12 gigabits per second speeds to users and sub-millisecond latency for applications like self-driving cars.
4) Global fixed broadband speeds are expected to grow at a 14% compound annual growth rate through 2020 with Latin America seeing an 18% growth rate.
The Brussels Development Briefing n. 55 on "Opportunities of blockchain for agriculture" organised by CTA, the European Commission/EuropeAid, the ACP Secretariat, Concord and BMZ was held on 15th May 2019 (9h00-13h00) at the ACP Secretariat, Avenue Georges Henri 451, 1200 Brussels, Room C.
Over the next few years, there will be a rapid growth in internet-connected devices beyond just computers, laptops, tablets, and smartphones. It is estimated that by 2020, there will be up to 21 billion connected devices worldwide. The document discusses 5 predictions for trends in the Internet of Things, including devices being centrally managed, having powerful triggers, working faster and smarter, using technologies like RFID and Bluetooth, and having applications in areas like connected cars and smart homes.
1) By 2020, 75% of businesses will become fully digital but only 30% of digitization efforts will be successful. Also, 40% of enterprises may no longer exist in 10 years if they do not disrupt or get disrupted.
2) The rise of the Internet of Everything will have 5-10x the impact of the internet to date, connecting people, processes, data and things. This will require transforming core processes, new skill sets, partners, business models and products/services.
3) Security challenges are immense with the digitization of everything, as 60% of business leaders are reluctant to innovate due to cyber risks, and the global cybercrime market is estimated at $450 billion to $
The Rise of Enterprise Data Stories in Data Visualization by Erik Laurijssen ...Patrick Van Renterghem
Presentation by Erik Laurijssen (CEO, Datylon): "The Rise of Data Stories in the Enterprise for Data Visualization" at the BI & Data Analytics Summit on June 13th in Diegem (Belgium)
Big Data Competing on analytics - devenportBhargav Mehta
This document discusses big data and analytics. It defines big data as the vast amount of data being created every day from various sources, which is characterized by its volume, velocity, variety, and veracity. It identifies several key attributes and pillars needed for analytics, including widespread modeling and optimization, enterprise-wide analytics, and senior management commitment. The document also categorizes companies based on their analytical capabilities, from "analytical competitors" that use analytics extensively as a competitive advantage, to "analytically impaired" companies that do not take a data-driven approach. It concludes by listing common types of analytics questions and the degree of intelligence and types of tools involved in reporting, predictive analytics, and decision optimization.
The document discusses several unstoppable trends affecting cities and businesses, including digital transformation, disruptive technologies, and megatrends. Key points include: (1) Digital transformation is driving the 4th industrial revolution through technologies like artificial intelligence, blockchain, and 5G. (2) Emerging technologies like augmented reality, autonomous robots, 3D printing, and artificial intelligence will enable digital transformation. (3) Automation is rising with the autonomous vehicle market projected to reach $60 billion by 2030. (4) Megatrends include urbanization, smart infrastructure, health and wellness, future mobility, and the cognitive era. Spending on safe city solutions and surveillance is increasing globally to address security challenges from threats like cyber
Internet Of Things & Ruby, com Thiago ScaloneiMasters
Amante de Ruby e desenvolvedor há 7 anos, Thiago Scalone participa e palestra da Guru-SP, TDC, Ruby + Rails no Mundo Real, e muitas outras comunidades e eventos. Neste 7Masters Ruby falou sobre "Internet Of Things & Ruby". Já trabalhou como desenvolvedor em São Paulo por 4 anos, e 3 anos atrás começou como desenvolvedor de C embarcado.
The document discusses GeneXus and its evolution in the short and medium term. It mentions that GeneXus will create native mobile apps, support new platforms like iOS 8 and Windows Phone, and introduce new features like a Swift generator. GeneXus is also evolving its platform to be cross-browser, cross-device, and cross-context. The document outlines how GeneXus will partner with other companies and leverage cloud technologies to power application development.
IoT613: Re-imagining Real Estate with the Internet of ThingsRick Huijbregts
Presentation for IOT613 about digital transformation in real estate. Digital Ceiling, Power over Ethernet. Creating new experiences for future generations.
De 10 viktigaste digitala trenderna inför 2016Acando Sweden
Acando Digital har listat de 10 viktigaste trenderna inför 2016. Läs mer på: http://digitalinsights.acando.se/de-10-viktigaste-digitala-trenderna-infor-2016/
7 facts, fictions and predictions about the Internet of Things (IoT) Parveen Goel
The Internet of Things (IoT) refers to combinations of technologies that are enabling tracking, coordinating and controlling of physical objects such as smart watches, thermostats, medical devices, appliances, machines, electric grid, traffic control systems and many other via internet and software applications. When an object is connected and communicated via network it opens up potential for making decisions in real time and more optimally
The document discusses requirements for developing an Internet of Things (IoT) product. It notes that IoT devices will need ultra low power processors and wireless capabilities to be always on and aware through sensors and actuators. Both cloud computing and edge computing are important as instant data from sensors and users pushes computing to the edge while big data and computing power push to the cloud. Developing IoT products will require automating the capture of customer needs and specifications as well as closed-loop traceability of requirements, with the customer voice coming from cloud-based data.
Mobile Internet: Καταλύτης για την οικονομική ανάπτυξηtechnology_forum
This document discusses the growing impact and importance of mobile technology. It notes that by 2016, the number of mobile devices will exceed the world's population. The mobile market is projected to exceed $1.3 trillion by 2016 and have an economic impact of over $10 trillion annually by 2025. It also discusses the emergence of new ecosystems and industries around ubiquitous computing, mobile internet, software as a service, and networks. The document promotes HAMAC, a Greek mobile technology cluster, and its role in growing the mobile industry ecosystem in Greece and enhancing innovation and entrepreneurship.
The growth on the Internet of Things (IoT) has been astonishing.
From Home to Cities,
Wearables to Driverless Cars, Agriculture to Factories ,
more and more things are being connected and embedded with technology and generating big-data.
- When Data became really ‘Big-Data’?
- What are the characteristics/complexities of Big-Data in IoT?--
- What is the role of Analytics and How is it different in IoT context?
- What are the use-cases of IoT with Analytics in Action?
- When AI meets IoT: Frameworks, Tools, Technologies
CECA - Collaborative Approach for Decision Makers in Heterogeneous IoT Enviro...Edson Barbosa
The document discusses a collaborative approach (CECA) for integrating heterogeneous IoT systems and data sources to provide insights for decision makers. CECA uses data clustering and correlation algorithms to analyze sensor, asset, and user data from systems like cameras, WiFi networks, and physical security. It has an open source cloud-ready architecture and integrates technologies like big data analytics. Example use cases include improving operations at airports, farms, industrial plants, and smart cities by combining data from various IoT systems.
By 2019, we will be staring at a Data Explosion like none before. Big Data Big Bang is around the corner. This presentation is a thought starter that aim to give an idea of things to come from Internet of things(IoT) to Internet of everything (IoE). Are companies ready to harness the power? Are data vendors equipped to take on this challenge? What do they need to start doing? How do they appease the sometimes conflicting needs of CIO versus the CMO? All this and more.
The document discusses Internet of Things (IoT) solutions and market size. It defines IoT as physical devices embedded with sensors, software and connectivity that can collect and exchange data over the internet. Examples of IoT solutions mentioned include monitoring cows to collect 200MB of data per cow annually, smart home devices growing the smart home market to $3.3B, and connecting aviation through automated check-ins and baggage tracking. The conclusion notes that IoT is having a large economic impact and creating investment opportunities.
The document discusses several trends in IoT including data growth, the evolution of Hadoop and YARN as a data operating system, stream analytics and high resolution analytics. It mentions announcements from CES 2015 including a chip called Vault capable of storing 4GB of data and running on a custom RTOS. The document also notes Google's announcement of Brillo, an open source OS for IoT from Google IO 2015. It provides GDP statistics for several countries in 2013.
1) The document describes IoTCrawler, a solution for securely discovering, indexing, and managing IoT data sources in a distributed manner.
2) IoTCrawler crawls and discovers local and global IoT sources and provides users full control over how their data is accessed and used by applications.
3) The document outlines how IoTCrawler can be used in a smart home context, describing its architecture and capabilities like network discovery, semantic annotation, appliance usage detection, and providing a secure energy awareness dashboard application.
The document discusses how the Internet of Things (IoT) will lead to a massive increase in connected devices from 2 billion in 2006 to an estimated 200 billion devices by 2020, with an average of 26 smart devices for every person on earth. This proliferation of IoT devices will generate huge amounts of data but also introduces significant security risks as each new device presents a potential vulnerability. While businesses see efficiency benefits to implementing IoT, they must find ways to balance strong security with user-friendly access to address growing threats from online hackers and ensure the security of the vast amounts of new data generated.
The presentation is about a journey of data and a path for Digital Transformation.
MEAN means MongoDB 3.X, NodeJS Express, and Angular.
Reloaded means using the latest technologies.
Course in openSAP on IoT helped me to improve my knowledge.
Tssg - Driving sustainable food production with Precision AgricultureWalton Institute
Precision agriculture uses sensors, networks, and data analysis to help farmers produce food more sustainably. The Internet of Things allows sensors to monitor anything, including factors that impact agriculture like soil conditions, weather, and animal health. Researchers at TSSG offer an IoT platform and services to help farmers manage grass and milk production, costs, disease, and their environmental impact through tools like sensor networks, data enrichment, and data-driven recommendations and predictions. This precision dairy approach brings order to big agricultural data and helps supply chains like aquaculture be more efficient.
The document discusses the growing market for sensor data from IoT devices. It notes that the global IoT sensor market reached $600 billion in 2015 and is expected to reach $1.2 trillion by 2019. Though corporations and governments produce 90% of sensor data, only 10% of the data has value for third parties, estimated at $30-90 billion today growing to $90-270 billion by 2020. The document introduces Databroker DAO, a blockchain-secured peer-to-peer marketplace that aims to unlock this value by enabling the monetization of sensor data between data owners and buyers. It outlines use cases and provides details on the team building the Databroker DAO Alliance.
This document discusses the potential of internet of things (IoT) technology for creating smart cities. It begins by explaining how large the global IoT market is expected to become by 2020, with billions of connected devices. It then outlines the various components of an IoT ecosystem and discusses market opportunities in areas like application development, integration, and security. The document emphasizes the importance of cities in driving innovation and economic growth. It presents examples of how IoT could be applied in cities for applications like environmental monitoring, parking management, and traffic monitoring. It also discusses challenges around data integration, collection, and analysis for smart cities. Finally, the document discusses approaches for citizen engagement with smart city technologies and applications.
This document discusses the growth of the Internet of Things (IoT) market and opportunities for smart cities. It notes that by 2020 there will be over 34 billion IoT devices connected, and that the IoT market is expected to generate trillions in spending between 2015-2020. Various industries and environments that can benefit from IoT solutions are described, including manufacturing, transportation, infrastructure, and more. The document advocates for using citizen-generated data and crowdsourcing to help cities better understand issues and optimize resources. Smartphone sensors and mobile applications are presented as ways to empower citizens to actively contribute data for smart city initiatives.
Big Data Competing on analytics - devenportBhargav Mehta
This document discusses big data and analytics. It defines big data as the vast amount of data being created every day from various sources, which is characterized by its volume, velocity, variety, and veracity. It identifies several key attributes and pillars needed for analytics, including widespread modeling and optimization, enterprise-wide analytics, and senior management commitment. The document also categorizes companies based on their analytical capabilities, from "analytical competitors" that use analytics extensively as a competitive advantage, to "analytically impaired" companies that do not take a data-driven approach. It concludes by listing common types of analytics questions and the degree of intelligence and types of tools involved in reporting, predictive analytics, and decision optimization.
The document discusses several unstoppable trends affecting cities and businesses, including digital transformation, disruptive technologies, and megatrends. Key points include: (1) Digital transformation is driving the 4th industrial revolution through technologies like artificial intelligence, blockchain, and 5G. (2) Emerging technologies like augmented reality, autonomous robots, 3D printing, and artificial intelligence will enable digital transformation. (3) Automation is rising with the autonomous vehicle market projected to reach $60 billion by 2030. (4) Megatrends include urbanization, smart infrastructure, health and wellness, future mobility, and the cognitive era. Spending on safe city solutions and surveillance is increasing globally to address security challenges from threats like cyber
Internet Of Things & Ruby, com Thiago ScaloneiMasters
Amante de Ruby e desenvolvedor há 7 anos, Thiago Scalone participa e palestra da Guru-SP, TDC, Ruby + Rails no Mundo Real, e muitas outras comunidades e eventos. Neste 7Masters Ruby falou sobre "Internet Of Things & Ruby". Já trabalhou como desenvolvedor em São Paulo por 4 anos, e 3 anos atrás começou como desenvolvedor de C embarcado.
The document discusses GeneXus and its evolution in the short and medium term. It mentions that GeneXus will create native mobile apps, support new platforms like iOS 8 and Windows Phone, and introduce new features like a Swift generator. GeneXus is also evolving its platform to be cross-browser, cross-device, and cross-context. The document outlines how GeneXus will partner with other companies and leverage cloud technologies to power application development.
IoT613: Re-imagining Real Estate with the Internet of ThingsRick Huijbregts
Presentation for IOT613 about digital transformation in real estate. Digital Ceiling, Power over Ethernet. Creating new experiences for future generations.
De 10 viktigaste digitala trenderna inför 2016Acando Sweden
Acando Digital har listat de 10 viktigaste trenderna inför 2016. Läs mer på: http://digitalinsights.acando.se/de-10-viktigaste-digitala-trenderna-infor-2016/
7 facts, fictions and predictions about the Internet of Things (IoT) Parveen Goel
The Internet of Things (IoT) refers to combinations of technologies that are enabling tracking, coordinating and controlling of physical objects such as smart watches, thermostats, medical devices, appliances, machines, electric grid, traffic control systems and many other via internet and software applications. When an object is connected and communicated via network it opens up potential for making decisions in real time and more optimally
The document discusses requirements for developing an Internet of Things (IoT) product. It notes that IoT devices will need ultra low power processors and wireless capabilities to be always on and aware through sensors and actuators. Both cloud computing and edge computing are important as instant data from sensors and users pushes computing to the edge while big data and computing power push to the cloud. Developing IoT products will require automating the capture of customer needs and specifications as well as closed-loop traceability of requirements, with the customer voice coming from cloud-based data.
Mobile Internet: Καταλύτης για την οικονομική ανάπτυξηtechnology_forum
This document discusses the growing impact and importance of mobile technology. It notes that by 2016, the number of mobile devices will exceed the world's population. The mobile market is projected to exceed $1.3 trillion by 2016 and have an economic impact of over $10 trillion annually by 2025. It also discusses the emergence of new ecosystems and industries around ubiquitous computing, mobile internet, software as a service, and networks. The document promotes HAMAC, a Greek mobile technology cluster, and its role in growing the mobile industry ecosystem in Greece and enhancing innovation and entrepreneurship.
The growth on the Internet of Things (IoT) has been astonishing.
From Home to Cities,
Wearables to Driverless Cars, Agriculture to Factories ,
more and more things are being connected and embedded with technology and generating big-data.
- When Data became really ‘Big-Data’?
- What are the characteristics/complexities of Big-Data in IoT?--
- What is the role of Analytics and How is it different in IoT context?
- What are the use-cases of IoT with Analytics in Action?
- When AI meets IoT: Frameworks, Tools, Technologies
CECA - Collaborative Approach for Decision Makers in Heterogeneous IoT Enviro...Edson Barbosa
The document discusses a collaborative approach (CECA) for integrating heterogeneous IoT systems and data sources to provide insights for decision makers. CECA uses data clustering and correlation algorithms to analyze sensor, asset, and user data from systems like cameras, WiFi networks, and physical security. It has an open source cloud-ready architecture and integrates technologies like big data analytics. Example use cases include improving operations at airports, farms, industrial plants, and smart cities by combining data from various IoT systems.
By 2019, we will be staring at a Data Explosion like none before. Big Data Big Bang is around the corner. This presentation is a thought starter that aim to give an idea of things to come from Internet of things(IoT) to Internet of everything (IoE). Are companies ready to harness the power? Are data vendors equipped to take on this challenge? What do they need to start doing? How do they appease the sometimes conflicting needs of CIO versus the CMO? All this and more.
The document discusses Internet of Things (IoT) solutions and market size. It defines IoT as physical devices embedded with sensors, software and connectivity that can collect and exchange data over the internet. Examples of IoT solutions mentioned include monitoring cows to collect 200MB of data per cow annually, smart home devices growing the smart home market to $3.3B, and connecting aviation through automated check-ins and baggage tracking. The conclusion notes that IoT is having a large economic impact and creating investment opportunities.
The document discusses several trends in IoT including data growth, the evolution of Hadoop and YARN as a data operating system, stream analytics and high resolution analytics. It mentions announcements from CES 2015 including a chip called Vault capable of storing 4GB of data and running on a custom RTOS. The document also notes Google's announcement of Brillo, an open source OS for IoT from Google IO 2015. It provides GDP statistics for several countries in 2013.
1) The document describes IoTCrawler, a solution for securely discovering, indexing, and managing IoT data sources in a distributed manner.
2) IoTCrawler crawls and discovers local and global IoT sources and provides users full control over how their data is accessed and used by applications.
3) The document outlines how IoTCrawler can be used in a smart home context, describing its architecture and capabilities like network discovery, semantic annotation, appliance usage detection, and providing a secure energy awareness dashboard application.
The document discusses how the Internet of Things (IoT) will lead to a massive increase in connected devices from 2 billion in 2006 to an estimated 200 billion devices by 2020, with an average of 26 smart devices for every person on earth. This proliferation of IoT devices will generate huge amounts of data but also introduces significant security risks as each new device presents a potential vulnerability. While businesses see efficiency benefits to implementing IoT, they must find ways to balance strong security with user-friendly access to address growing threats from online hackers and ensure the security of the vast amounts of new data generated.
The presentation is about a journey of data and a path for Digital Transformation.
MEAN means MongoDB 3.X, NodeJS Express, and Angular.
Reloaded means using the latest technologies.
Course in openSAP on IoT helped me to improve my knowledge.
Tssg - Driving sustainable food production with Precision AgricultureWalton Institute
Precision agriculture uses sensors, networks, and data analysis to help farmers produce food more sustainably. The Internet of Things allows sensors to monitor anything, including factors that impact agriculture like soil conditions, weather, and animal health. Researchers at TSSG offer an IoT platform and services to help farmers manage grass and milk production, costs, disease, and their environmental impact through tools like sensor networks, data enrichment, and data-driven recommendations and predictions. This precision dairy approach brings order to big agricultural data and helps supply chains like aquaculture be more efficient.
The document discusses the growing market for sensor data from IoT devices. It notes that the global IoT sensor market reached $600 billion in 2015 and is expected to reach $1.2 trillion by 2019. Though corporations and governments produce 90% of sensor data, only 10% of the data has value for third parties, estimated at $30-90 billion today growing to $90-270 billion by 2020. The document introduces Databroker DAO, a blockchain-secured peer-to-peer marketplace that aims to unlock this value by enabling the monetization of sensor data between data owners and buyers. It outlines use cases and provides details on the team building the Databroker DAO Alliance.
This document discusses the potential of internet of things (IoT) technology for creating smart cities. It begins by explaining how large the global IoT market is expected to become by 2020, with billions of connected devices. It then outlines the various components of an IoT ecosystem and discusses market opportunities in areas like application development, integration, and security. The document emphasizes the importance of cities in driving innovation and economic growth. It presents examples of how IoT could be applied in cities for applications like environmental monitoring, parking management, and traffic monitoring. It also discusses challenges around data integration, collection, and analysis for smart cities. Finally, the document discusses approaches for citizen engagement with smart city technologies and applications.
This document discusses the growth of the Internet of Things (IoT) market and opportunities for smart cities. It notes that by 2020 there will be over 34 billion IoT devices connected, and that the IoT market is expected to generate trillions in spending between 2015-2020. Various industries and environments that can benefit from IoT solutions are described, including manufacturing, transportation, infrastructure, and more. The document advocates for using citizen-generated data and crowdsourcing to help cities better understand issues and optimize resources. Smartphone sensors and mobile applications are presented as ways to empower citizens to actively contribute data for smart city initiatives.
The document discusses the market potential for low-cost cybernetic security solutions embedded in microcontrollers used in Internet of Things (IoT) devices. It estimates that by 2020 there will be around 27 billion low-cost IoT devices using microcontrollers, representing a market opportunity of around 270 million microcontrollers with embedded security. The document also provides an overview of the types of IoT applications that could benefit from more secure microcontrollers and describes some of the key cybersecurity technologies needed for IoT devices.
The document discusses the Internet of Things (IoT) and its relationship to artificial intelligence. It finds that IoT adoption is approaching a tipping point of 15-20% and will accelerate thereafter. IoT will set the path for developments in AI by providing vast amounts of data. It also examines how IoT links to and supports other technologies like augmented reality and blockchain. The top three industries currently adopting IoT are energy/mining, transportation, and manufacturing.
Разработка и тестирование интернета вещей. Тренды индустрииcorehard_by
Мы, прежде всего, поговорим о том, как бизнесс тренды Мобильной разработки и Интернета Вещей повлияют на технические тренды Development-а и Quality Assurance. Какие сложности нас подстерегают, какие знания и умения будут остро необходимы, какие типы тестирования станут наиболее востребоваными, а инструменты актуальными. Приведем многочисленные примеры “отечественных” проектов, в работе над которыми можно поучаствовать не в «гипотетических» монстрах, вроде Microsoft, IBM, Google, а в РБ или РФ, здесь и сейчас. Материал основан на последних отчетах профильных организаций и, конечно же, личном опыте. Уверен, каждый из нас, от юного разработчика и QA специалиста до Project/Resource Manager-а, извлечет свой «урок» из предложенного материала.
The document discusses Internet of Things (IoT) and how it is enabling smart cities. It describes technologies that enable IoT like cheap sensors, bandwidth, processing power, and wireless coverage. It discusses the history and challenges of IoT. It outlines how IoT can be used across various sectors and environments like transportation, infrastructure, manufacturing, agriculture and more. It discusses how IoT can provide benefits like improved efficiency, reduced costs, and new revenue streams for cities. Finally, it discusses how citizen engagement and mobile applications can help build smart cities and provide solutions using IoT.
SECON'2016. Семенченко Антон, Как тренды в Мобильной разработке и Интернете в...SECON
Доклад, прежде всего о том, как бизнес тренды Мобильной разработки и Интернета Вещей повлияют на тренды в QA. Какие сложности нас ждут, какие знания и умения будут остро необходимы, какие типы тестирования будут наиболее востребованными, а инструменты актуальны. Материал основан на последних отчетах профильных организаций и конечно же личном опыте. Уверен каждый из нас, от юного QA специалиста до Project \ Resource Manager-а, извлечет свой «урок» из предложенного материала.
Can blockchain technology be the answer to IoT and AI security for Industry 4.0? Industrial Security Forum - The Secure Path of the Digital Future - Presentation at the Hannover Messe Industrie (HMI), Germany in April 2018
The document discusses current trends in the Internet of Things (IoT). It describes how technologies like cheap sensors, bandwidth, processing, and wireless coverage have enabled the growth of IoT. The IoT market is large and growing, with billions of connected devices expected by 2020. The document outlines several industry sectors that are being impacted by IoT, such as manufacturing, transportation, agriculture, healthcare, and more. It also discusses challenges around managing large volumes of data from IoT devices and extracting useful insights and value from that data. Finally, the document discusses the potential for IoT to help build smarter cities by crowdsourcing input from citizens through mobile apps.
Internet of Things & Hardware Industry Report 2016Bernard Moon
Overview of industry trends and insights of Fortune 500 companies and startups' activities in the Internet of Things (IoT) and hardware space. We cover connected home, wearables, healthcare, robotics & drones, and industrial IoT.
This document provides an introduction to Internet of Things (IoT) and smart cities. It discusses Kevin Ashton who coined the term "Internet of Things" and his vision for using data to increase efficiency. Key enabling technologies for IoT like cheap sensors, bandwidth, processing and wireless coverage are outlined. Examples of IoT applications in various sectors like manufacturing, transportation, agriculture and smart cities are provided. The document also discusses challenges in making sense of the large amounts of data generated by IoT devices and the importance of a citizen-centric approach to building smart cities by leveraging crowdsourcing and citizen engagement.
This document provides an introduction to Internet of Things (IoT) and smart cities. It discusses Kevin Ashton who coined the term "Internet of Things" and his vision of using IoT to turn the world's data into useful information. It also outlines some key enabling technologies for IoT like cheap sensors and bandwidth. The document then explores applications of IoT across various sectors and environments like manufacturing, transportation, infrastructure and smart buildings. It defines smart cities and discusses REDtone IOT's approach to crowdsourcing via mobile apps to engage citizens and identify issues in cities.
The document discusses emerging global trends in the Internet of Things (IoT). It begins with an introduction to IoT, defining it as a system of interconnected computing devices, objects, and people that can transfer data over a network. It then covers the benefits of IoT for organizations, some example applications and use cases, and challenges associated with IoT. The document concludes by outlining several top IoT technologies and trends, such as the increasing role of artificial intelligence and a shift from centralized cloud architectures to distributed edge computing.
The document discusses emerging global trends in the Internet of Things (IoT). It begins with an introduction to IoT, defining it as a system of interconnected computing devices, objects, and people that can transfer data over a network. It then covers the benefits of IoT for organizations, some example applications and use cases, and the key technologies and trends driving IoT adoption, including artificial intelligence, edge computing, and 5G networks. The document concludes with discussions of smart farming and industrial IoT applications.
The document discusses emerging global trends in the Internet of Things (IoT). It begins with an introduction to IoT, defining it as a system of interconnected computing devices, objects, and people that can transfer data over a network. It then covers the benefits of IoT for organizations, some example applications and use cases, and challenges with IoT implementation. The document concludes by outlining the top 10 strategic IoT technologies and trends according to Gartner, including the increasing role of artificial intelligence and a shift from centralized cloud architectures to distributed edge computing.
Global IOT Node and Gateway Market Size Was Valued at USD 419.65 Billion in 2022, and is Projected to Reach USD 836.18 Billion by 2030, Growing at a CAGR of 9.0 % From 2023-2030.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
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5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
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7. What is Prometheus?
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8. Monitoring Application Metrics with Prometheus
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9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
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11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
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Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
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2. Hi, we are SettleMint!
MINT: CONNECTING EXISTING AND NEW APPLICATIONS TO BLOCKCHAIN PROTOCOLS
3. IOT Sensor Data Market Size
THE IOT SENSOR MARKET IS HUGE & RAPIDLY GROWING.
THE DATA BEING PRODUCED IS WORTH 300 BILLION USD PER YEAR
• Market for IoT sensors reached USD
600B/year in 2015 with 9 billion
sensors installed globally;
• expected to reach 34 billion sensors
installed by 2019;
• The value of the data to primary
owners of the sensors is circa USD
300B/year.
4. …the market is growing fast!
90% OF THE SENSOR DATA IS PRODUCED BY CORPORATIONS AND GOVERNMENTS,
10% BY CONSUMER DEVICES
Data Origins
5. Unlocking the Value of IOT Sensor Data
TOWARDS A SENSOR DATA MONETIZATION MODEL
• Data value produced and used only by owners of sensors:
$300B/year;
• 10% of the data is interesting to potential buyers
• Data (sets or streams) will be interesting for 1-3 buyers on
average based on own and commissioned research;
• Estimated value of this data is $30-90B/year globally today;
• Number of sensors deployed expected to triple by 2020
to 30 billion from 9.7 billion sensors today;
• We expect the value of the data interesting for resale to grow to
$90-270B/year by 2020.
6. Databroker DAO
A GLOBAL BLOCKCHAIN-SECURED PEER TO PEER MARKETPLACE FOR LOCAL SENSOR DATA
The Platform
7. Use Cases
A GLOBAL BLOCKCHAIN-SECURED PEER TO PEER MARKETPLACE FOR LOCAL SENSOR DATA
Consultancy Academics Smart Cities Smart Consumption
Agriculture Smart Cars Health MonitoringIndustrial Manufacturing
8. DATABROKER DAO ALLIANCE
THE TEAM IS MAKING SERIOUS PROGRESS TOWARDS GAINING RECOGNITION &
BUILDING THE DATABROKER DAO ALLIANCE FOR END USERS
…More to be announced soon!
9. The Team
Matthew Van Niekerk
Co-founder & CEO
Roderik van der Veer
Co-founder & CTO
Frank Van Geertruyden
MarCom Director
Els Meyvaert
Project Manager
Cassandre Vandeputte
Solution Analyst
Tom De Block
Solution Architect
Silke Van den Broeck
Blockchain Developer
Magomet Tsanajev
Content Creator
Veronica Murguia
Investment Advisor
Rutger Bevers
Blockchain Engineer
Astrid Janssens
Management Assistant
Charles de Bergeyck
CFO
Jonathan Johnson
Advisor
Richard Kastelein
Advisor
Patrick Byrne
Advisor
Julien Marlair
Advisor
10. Stay tuned for more exciting news and insights:
databrokerdao.com
medium.com/databrokerdao
Any questions, opportunities or partnership:
Telegram https://t.me/databrokerdao
Facebook https://www.facebook.com/DataBrokerDAO/
Twitter https://twitter.com/DataBrokerDAO
Reddit https://www.reddit.com/r/DatabrokerDAO/
Frank@databrokerdao.com
Presentation https://www.slideshare.net/DataBrokerDAO
Editor's Notes
Hi, I’m Frank and I work for SettleMint, a blockchain company: we help organisations to integrate blockchain technology into their existing business.
About a year ago we created a second company: DataBorker DAO. Why? We needed a proof of blockhain-concept and along the way we discovered a huge opportunity: a marketplace where you can buy and sell sensor data. An E-Bay or Air BNB for data. Or how to turn sunk costs into revenu streams.
So, today I mainly work for DataBorker DAO. We’re not yet operational we’re working hard to be up and running by the end of the year. So, today I mainly work for DataBorker DAO. We’re not yet operational we’re working hard to be up and running by the end of the year.
What I’m going to explain may seem complex. Now, I’m not a techie, I’m just a marketeer, so normaly everybody should understand instantly what I’m going to explain here. The market for IoT sensors reached USD 600B/year in 2015 with 9 billion sensors installed globally;
expected to reach 34 billion sensors installed by 2019;
The value of the data to the owners of sensors is arround USD 300B/year.
max 2 year investment payback required in most industries for such investments;
the value of the data being produced is circa 1/2 of the annual investment to the sensor owner to meet internal payback period requirements;
High Upfront Sunk costs:
- SMART CITIES ARE EXPECTING AN INVESTMENT OF 150+ MILLION EUR TO DEPLOY SENSORS
- FEW OF THEM HAVE FORESEEN SUCH A BUDGET IN THEIR PLANNING
THIS FORCES THEM INTO VENDOR LOCK, PRIVATE-PUBLIC PARTNERSHIPS WITH LARGE SENSOR MANUFACTURERS
AFTER INSTALLATION, THE SENSORS NEED TO BE MAINTAINED - A PERPETUAL MAINTENANCE FEE.
DATA IS STORED IN THE SILOS OF THE COMPANIES WHO OWN THE SENSORS, COMPLETELY INACCESSIBLE TO THE OUTSIDE WORLD.
EACH COMPANY THAT PURCHASES AND DEPLOYS SENSORS STORES THE RESULTING DATA IN THEIR OWN DATA WAREHOUSE
THIS LOCKS THE DATA AWAY FROM INTERESTED PARTIES
INTEGRATING AND SYNCING THOUSANDS OF DATABASES WITH LEGACY TECHNOLOGY IS NOT FEASIBLE FROM A TECHNICAL OR ECONOMIC PERSPECTIVE
- All commercial sectors are producing & utilising IoT sensor data for their own purposes today;
The top 3 sectors with nearly 60% of total investment in IoT sensor data are:
Manufacturing & Natural Resources
Utilities & Transportation
Government
Personal data is a relatively minor piece of the data pie with less than 10% of the total market
The value of the data being being produced and used exclusively by the owners of sensors is circa $300B/year;
With a base assumption that 10% of the data is interesting to potential buyers and that this data will be interesting for 1-3 buyers on average based on own and commissioned research;
The estimated value of this data to secondary users (3rd parties) is $30-90B/year globally today;
The number of sensors deployed is expected to triple by 2020 to 30 billion from 9.7 billion sensors today;
We expect the value of the data interesting for resale to grow to $90-270B/year by 2020.
Today we have a Beta-version of the platform. A test version but we have our developers working on the real platform as we speakThe Platform:
Buyers purchase access to sensor data
Improved data is resold via the platform
Purchased data flows to the buyers (using Blockchain technology and smart contracts)
Sensor Owner are remunerated in DTX utility tokens
- Network Operators get recompensed for streaming sensor data
Characteristics:
- Sensor owners are connected and set the price for their data to be sold
- Data buyers search for relevant data streams and data sets
- Data buyers buy for their own use or enrich data and resell it on the DataBroker platform
- Purchases of data on DataBroker can be micro transactions to buy data for discrete and finite time periods.
TODAY, MORE THAN 5000 COMPANIES GLOBALLY ARE ACQUIRING AND REPACKAGING DATA TO SELL IT ON:
- CONSULTANCIES purchase sensor data to create value adding insights for their clients;
BESIDES THESE 5000 COMPANIES, THERE ARE A NUMBER OF HUGE USE CASES FOR DATA THAT IS ALREADY OUT THERE TODAY BUT INACCESSIBLE
- ACADEMIA: Data needs of researchers
- SMART CITIES: Improve the lives of citizens
- SMART CONSUMPTION: think about online shopping
- AGRICULTURE: More granular data than the national weather service can provide- AUTOMOTIVE: 100’s of sensors already on all cars, transport trucks- HEALTH MONITORING