Revolutionize your business with the Industrial Internet of Things ( IIoT) - ...CTOBuddy.com
Download the whitepaper from http://www.attunity.com/IIoT
The Industrial Internet of Things is made up of billions of devices collecting and transmitting data to support some of the fastest-growing areas in global business. But to glean value from the IIoT, companies need to be able to access and analyze this Big Data, and there are several common technical hurdles that need to be addressed first.
Take a look at this presentation to understand how Attunity addresses these technical hurdles head-on, enabling companies to move data fast, easily and securely, and realize the full value of the IIoT.
The document discusses using Internet of Things (IoT) technology to address challenges facing modern cities. It notes that rapid urbanization, economic pressures, and environmental sustainability concerns are stressing city infrastructure and quality of life. The document then outlines how independent infrastructure investments by different city departments result in wasted resources and a lack of shared intelligence. It proposes that an integrated IoT platform allowing data sharing across departments could help optimize city management and operations.
Industrial Internet of Things by Edy Liongosari of Accenturegogo6
The document discusses the Industrial Internet of Things (IIoT) and its potential benefits. It notes that the IIoT involves intelligent industrial products, processes and services communicating over networks. Trillions of dollars in benefits are possible from the IIoT through improved operational efficiency, new products/services, and an outcomes-based economy. Realizing these benefits will require connected ecosystems and platforms to aggregate and utilize data to create new value-added services. The most transformative impacts will be the emergence of an outcomes economy and tight integration of digital and human labor.
Industrial internet of things (IIOT) - special report-2017Ian Beckett
The internet of things (IoT) is creating new jobs in manufacturing by allowing factories to monitor equipment performance and predict maintenance needs for greater efficiency. While some manual jobs may be eliminated, the IoT is driving demand for new skills in services, technology, data science, software development, and marketing to maintain and upgrade connected machines and develop new IoT-enabled services. Rolls-Royce uses IoT systems that notify the company when aircraft engine maintenance and upgrades are required.
The document discusses the potential for a new wave of productivity gains and economic growth through the convergence of advanced computing, analytics, and connectivity enabled by the Internet with the global industrial system. This convergence is called the "Industrial Internet". It could boost annual productivity growth and raise average incomes significantly over the next 20 years. Key elements include intelligent machines enabled by sensors and controls, advanced analytics using real-time data and predictive algorithms, and connecting people at work. Even modest efficiency gains of 1% across major industries like aviation, power, healthcare, rail and oil and gas could yield huge economic benefits totaling tens or hundreds of billions of dollars. The Industrial Internet has the potential to benefit both developed and developing economies worldwide.
INTERNET OF THINGS - THE NEXT WAVE OF INNOVATIONRajat Maheshwari
IoT is the new wave of innovation.
IoT has the potential to enable extensions and enhancements to fundamental services in transportation, logistics, security, utilities, education, healthcare and other areas, while providing a new ecosystem for application development.
A concerted effort is required to move the industry beyond the early stages of market development towards maturity, driven by common understanding of the distinct nature of the opportunity.
Smart Industry 4.0: IBM Watson IoT in de praktijkIoT Academy
Tijdens de tweede IoT meetup van 2017 gaf Ronald Teijken inzicht hoe bedrijven slimmer complexe beslissingen kan nemen dankzij het Watson IoT Platform van IBM. Sensoren, Data, Analytics, Cognitive zijn enkele onderwerpen die hierbij aan bod kwamen.
IoT-Where is the Money? - Chandrashekar Raman, Engagement Manager, IoT Strate...Lounge47
“Internet of Things (IoT) – Where is the Money?” - This talk highlighted the need for innovative business and technical models. Top 5 key takeaways from the session: 1) Analyze business models from the perspective of targeting “control points” (allows disproportionate share of value e.g. platform), “network externalities” (users generate more users e.g. facebook) and “virtuous cycle” (self-propogating value system e.g. Twitter: tweets generating more, value, tweeters and users) 2) Fog computing (solutions at the edge of the network) should be considered for "time sensitive" or "mission critical" solutions 3) IoT Stats 2013: $1.7B funding, 186 deals, 30% up YOY, 75% up on exits, largely in platforms; Cisco estimates 50B connected devices by 2020, economic value of 19 trillion added in next decade 4) Manufacturing and Smart Cities most immediate opportunities in Enterprise space 5) Key Challenges are security and time-sensitive networking. In summary, IoT Startups focused in a hot space need to pick clever business models relative to the competition.
Revolutionize your business with the Industrial Internet of Things ( IIoT) - ...CTOBuddy.com
Download the whitepaper from http://www.attunity.com/IIoT
The Industrial Internet of Things is made up of billions of devices collecting and transmitting data to support some of the fastest-growing areas in global business. But to glean value from the IIoT, companies need to be able to access and analyze this Big Data, and there are several common technical hurdles that need to be addressed first.
Take a look at this presentation to understand how Attunity addresses these technical hurdles head-on, enabling companies to move data fast, easily and securely, and realize the full value of the IIoT.
The document discusses using Internet of Things (IoT) technology to address challenges facing modern cities. It notes that rapid urbanization, economic pressures, and environmental sustainability concerns are stressing city infrastructure and quality of life. The document then outlines how independent infrastructure investments by different city departments result in wasted resources and a lack of shared intelligence. It proposes that an integrated IoT platform allowing data sharing across departments could help optimize city management and operations.
Industrial Internet of Things by Edy Liongosari of Accenturegogo6
The document discusses the Industrial Internet of Things (IIoT) and its potential benefits. It notes that the IIoT involves intelligent industrial products, processes and services communicating over networks. Trillions of dollars in benefits are possible from the IIoT through improved operational efficiency, new products/services, and an outcomes-based economy. Realizing these benefits will require connected ecosystems and platforms to aggregate and utilize data to create new value-added services. The most transformative impacts will be the emergence of an outcomes economy and tight integration of digital and human labor.
Industrial internet of things (IIOT) - special report-2017Ian Beckett
The internet of things (IoT) is creating new jobs in manufacturing by allowing factories to monitor equipment performance and predict maintenance needs for greater efficiency. While some manual jobs may be eliminated, the IoT is driving demand for new skills in services, technology, data science, software development, and marketing to maintain and upgrade connected machines and develop new IoT-enabled services. Rolls-Royce uses IoT systems that notify the company when aircraft engine maintenance and upgrades are required.
The document discusses the potential for a new wave of productivity gains and economic growth through the convergence of advanced computing, analytics, and connectivity enabled by the Internet with the global industrial system. This convergence is called the "Industrial Internet". It could boost annual productivity growth and raise average incomes significantly over the next 20 years. Key elements include intelligent machines enabled by sensors and controls, advanced analytics using real-time data and predictive algorithms, and connecting people at work. Even modest efficiency gains of 1% across major industries like aviation, power, healthcare, rail and oil and gas could yield huge economic benefits totaling tens or hundreds of billions of dollars. The Industrial Internet has the potential to benefit both developed and developing economies worldwide.
INTERNET OF THINGS - THE NEXT WAVE OF INNOVATIONRajat Maheshwari
IoT is the new wave of innovation.
IoT has the potential to enable extensions and enhancements to fundamental services in transportation, logistics, security, utilities, education, healthcare and other areas, while providing a new ecosystem for application development.
A concerted effort is required to move the industry beyond the early stages of market development towards maturity, driven by common understanding of the distinct nature of the opportunity.
Smart Industry 4.0: IBM Watson IoT in de praktijkIoT Academy
Tijdens de tweede IoT meetup van 2017 gaf Ronald Teijken inzicht hoe bedrijven slimmer complexe beslissingen kan nemen dankzij het Watson IoT Platform van IBM. Sensoren, Data, Analytics, Cognitive zijn enkele onderwerpen die hierbij aan bod kwamen.
IoT-Where is the Money? - Chandrashekar Raman, Engagement Manager, IoT Strate...Lounge47
“Internet of Things (IoT) – Where is the Money?” - This talk highlighted the need for innovative business and technical models. Top 5 key takeaways from the session: 1) Analyze business models from the perspective of targeting “control points” (allows disproportionate share of value e.g. platform), “network externalities” (users generate more users e.g. facebook) and “virtuous cycle” (self-propogating value system e.g. Twitter: tweets generating more, value, tweeters and users) 2) Fog computing (solutions at the edge of the network) should be considered for "time sensitive" or "mission critical" solutions 3) IoT Stats 2013: $1.7B funding, 186 deals, 30% up YOY, 75% up on exits, largely in platforms; Cisco estimates 50B connected devices by 2020, economic value of 19 trillion added in next decade 4) Manufacturing and Smart Cities most immediate opportunities in Enterprise space 5) Key Challenges are security and time-sensitive networking. In summary, IoT Startups focused in a hot space need to pick clever business models relative to the competition.
Industrial IoT – the disruption of manufacturingFelix Plitzko
Industrial IoT has been around for quite a while. But it is more than just visualizing the immense amount of data available within manufacturing machines. It creates opportunities to offer a new range of services. I will talk about the opportunities Industrial IoT creates, and how we use it to offer our services at AISLER.
This presentation is part of a talk I gave at RIOT.berlin 2017.
This demo was featured at the Grace Hopper Conference in October 2016. Members of the Cisco IoT Engineering team designed, sourced, and built the demo from concept to finish.
This presentation provides an overview of the IIoT (Industrial Internet of Things) market in (Fall 2017) with respect to a large enterprise project.
I hope you find this information useful in starting or expanding your own IIoT Project!
The document provides an introduction to the Internet of Things (IoT). It discusses that the IoT is emerging due to improvements in hardware, software, and networking technologies that allow everyday physical objects to be connected. It estimates that by 2020 there will be 26-212 billion connected devices and that the IoT will have a $1.9-$8.9 trillion economic impact. The document then outlines key market segments for the IoT, challenges around security and regulations, and how the IoT will transform businesses.
1. The document analyzes six families of IoT use cases that impact business outcomes based on the company Flutura's analysis of data from various markets over 24 months.
2. The six families are: generating new revenue streams, reducing energy consumption, reducing asset downtime, lowering defect rates in manufacturing, improving security, and enabling pricing innovations.
3. Examples are provided for each category, such as monitoring oil wells as a service, reducing fleet fuel consumption through sensor data analysis, and dynamic pricing of leased assets using usage statistics.
1) Predictive analytics using IoT data faces unique challenges due to issues with data quality from IoT sources. The "data-insight gap" is a challenge for obtaining accurate predictions from incomplete and inconsistent IoT data.
2) Current IoT+predictive architectures are cloud-centric but future architectures will move more of the processing and analytics to the edge to improve responsiveness and deal with high data volumes.
3) Cleaning and preparing IoT data for machine learning algorithms is a major challenge since most advanced techniques require large volumes of consistent, high-quality data but IoT data is often incomplete and inconsistent. A two-tiered approach using ML for both data cleaning and predictive modeling may help
OT - How IoT will Impact Future B2B and Global Supply Chains - SS14Mark Morley, MBA
This presentation was originally given at an EDIFICE plenary in Brussels in May 2014. EDIFICE is a European based industry association driving B2B standards across the high tech industry. The presentation discussed digital disruption and how the Internet of Things is likely to impact future design of B2B platforms and global supply chains. - Updated March 2015
This slide explains the concept of Industrial Internet of Things. It covers IIot's present Market Landscape , IoT segments by IIoT, Ecosystem analysis, Major Drivers, Major challenges faced by Value chain players, Potential use cases along my analysis and recommendations on IIoT Technology and market landscape.
Industrial Internet of Things (IIoT) for Automotive Paint Shop OperationsRam Shetty
This document discusses the Industrial Internet of Things (IIoT) and its applications in paint shop operations. It provides perspectives from industry analysts, technology providers, and manufacturers on how IIoT can connect information silos and extract business value. The author defines IIoT as integrating processes, industrial automation, and IT systems to continuously improve operator skills across the value chain. Examples of IIoT in paint shops include prognostics/diagnostics for painting robots and energy/environmental management. The discussion focuses on how IIoT can empower workers and amplify human capabilities rather than deskilling labor.
Introduction to the IIoT - Nevada - Sept 2017Matthew Bailey
The document introduces the Industrial Internet of Things (IIoT) and discusses how it can help address various challenges. It notes that the world's population is increasing and moving to cities, putting pressure on food production and resources. The IIoT uses sensors and networks to collect physical world data, which is then processed using analytics and applications to enable intelligent decision-making and more efficient systems. It provides estimates for the large market size of the IIoT and discusses how major companies are using it for applications like smart cities and advanced manufacturing.
The document discusses connectivity frameworks and standards for industrial IoT systems. It provides an overview of the Industrial Internet Consortium's Connectivity Framework, which defines different levels of interoperability and analyzes popular connectivity technologies and standards. The framework guides practitioners in assessing their requirements and choosing the appropriate connectivity standard for their system based on factors like data usage, latency needs, device interchangeability requirements, and integration with other systems and software. Popular standards discussed include DDS, OPC-UA, oneM2M, MQTT, and HTTP.
Sara Granados Cabeza introduces herself and her background, including her education and work at Real-Time Innovations (RTI). She then provides an overview of RTI, describing it as a worldwide company that builds real-time middleware and related tools for industries such as medical, energy, and automotive. Granados Cabeza discusses the Industrial Internet of Things (IIoT), describing it as the convergence of machine and intelligent data to create intelligent systems, and outlines some of the protocols used to connect devices in the IIoT, with an emphasis on the Data Distribution Service (DDS) standard.
Advanced Industrial IoT, IIoT Training Crash Course For You - Tonex TrainingBryan Len
Industrial iot, internet of things. Industrial iot, industry 4 training course - Tonex training
The major impact of IoT can be seen in the industrial sector, with the industries all over the globe moving toward Industry 4.0, IoT is playing a major role in the 4th industrial revolution. The most revolutionary technology in the Industrial sector today is IIoT.
Enabled by the Internet of Things (IoT), Industry 4.0 — also known as the era of digitalization — refers to the use of automation and data exchange in manufacturing with machines making split-second decisions based on real-time data.
Other benefits from IoT-infused Industry 4.0, include:
Richer and more timely analytics
Digitizing and making sense of information
Improving customer satisfaction and customer experience
Improving product quality or keeping product quality intact
Boost efficiency and profitability across the entire organization
Real-time insights that lead to better, faster decisions
Providing all team members with up-to-date, relevant views of production and business processes
Course agenda:
Introduction to Industrial Internet of Things
Industrial automation: PLC and SCADA
Sensor Data Mining and Analytics
Wireless Sensor Area Networks (WSAN)
Design and Development of IIoT systems
Industry 4.0: Smart factory initiative
Industrial cloud platforms
Industrial IoT security
Request more information regarding Industrial IoT, Internet of Things, IIoT, Training Crash Course. Visit tonex.com for course and workshop detail.
https://www.tonex.com/industry-4-0-course-internet-of-things-iot-training/
State of the market for IoT/IIoT and the cloud: What are the emerging opportunities for using interconnected devices and the cloud to provide enterprises with operational efficiencies and more effective mobility?
Ibm Cloud platform and LoRa IoT in smart cityMike Chang
This document discusses IBM's cloud and cognitive IoT solutions. It highlights that IBM Cloud provides a highly secure, scalable and open platform for innovating with IoT. It also describes IBM's end-to-end IoT ecosystem that helps companies build and deploy IoT solutions from chip to cloud. Finally, it promotes IBM Bluemix as an innovation platform that provides the tools, services and runtimes needed to develop cognitive and IoT applications.
This document discusses Internet of Things (IoT) startups in Vietnam. It notes that IoT involves connecting physical devices to exchange data over networks. The opportunities in IoT are huge, with projections of 50 billion smart connected devices by 2020 and $11-14 trillion in potential global economic impact over the next decade. However, IoT adoption is still in early stages, with most investment currently going to enterprise and government projects rather than startups. The document outlines the various components of the IoT value chain including hardware, connectivity infrastructure, platforms, applications, and data security. It concludes that IoT will transform the world over the next 10 years and that Vietnam has strong potential to advance in this area due to its engineering talent
The Industrial IoT depends on connectivity and information exchange. Much of the business value derives from the ability to have independent systems share information in order to derive knowledge, make "smart decisions", and offer behavior and functionality never before possible.
Many industrial systems were designed with a focus on reliability and safety at a time were implicit trust of all components and communication was the norm. Restricting physical access is currently the only practical method for protecting this existing critical infrastructure. This includes the electrical power grid, process control, transportation, or manufacturing systems. This is changing with increased connectivity to the Internet and personal computers as well as awareness of malicious insider threats. Many industrial systems are being (or want to be) connected to external networks using standard technologies like Ethernet and the Internet Protocol Suite (TCP/UDP/IP). These technologies make systems more functional and efficient, unfortunately they also open the critical infrastructure to cyber attacks.
New IIoT Systems are being designed with security as a key concern. New systems can leverage a solid set of security technologies and building blocks for Authentication, Cryptography, Integrity, etc. However these security technologies must be used correctly and in ways that do not disrupt the performance or access to the legitimate applications/devices, yet limit legitimate access to just the needed information (to minimize the insider threats) and denies access to all others. Adding to this difficulties the new systems need to co-exist and (securely) exchange information with the already-deployed legacy systems which were built without such security elements.
Secure DDS (a recent standard from the OMG) is a "secure connectivity middleware" technology that can be used to address these three needs: (1) Build modern secure IIoT systems, (2) Secure legacy Industrial systems being connected on the Internet, and (3) Securely bridge between new and legacy systems. Secure DDS extends the proven Data-Distribution Service (DDS) and Real-Time Publish-Subscribe Protocol (DDS-RTPS) standards with enterprise-grade authentication, encryption and fine-grained security controls while maintaining the peer-to-peer, robustness and scalability features (including secure multicast) that have made DDS a clear choice for critical infrastructure systems.
This presentation introduces the DDS Security specification and provide describe several use-cases that exemplify how these standards are deployed in real-world applications.
This document provides an overview of the Industrial Internet of Things (IIoT) and Data Distribution Service (DDS) as a platform for IIoT integration. It discusses how many industries are facing disruption from trends like decentralized energy and software-driven transportation. The key challenge for IIoT is reducing the exponential increase in integration costs as systems scale up in size and complexity. DDS provides a standardized, data-centric integration approach for real-time IIoT applications and services.
Industrial IoT – the disruption of manufacturingFelix Plitzko
Industrial IoT has been around for quite a while. But it is more than just visualizing the immense amount of data available within manufacturing machines. It creates opportunities to offer a new range of services. I will talk about the opportunities Industrial IoT creates, and how we use it to offer our services at AISLER.
This presentation is part of a talk I gave at RIOT.berlin 2017.
This demo was featured at the Grace Hopper Conference in October 2016. Members of the Cisco IoT Engineering team designed, sourced, and built the demo from concept to finish.
This presentation provides an overview of the IIoT (Industrial Internet of Things) market in (Fall 2017) with respect to a large enterprise project.
I hope you find this information useful in starting or expanding your own IIoT Project!
The document provides an introduction to the Internet of Things (IoT). It discusses that the IoT is emerging due to improvements in hardware, software, and networking technologies that allow everyday physical objects to be connected. It estimates that by 2020 there will be 26-212 billion connected devices and that the IoT will have a $1.9-$8.9 trillion economic impact. The document then outlines key market segments for the IoT, challenges around security and regulations, and how the IoT will transform businesses.
1. The document analyzes six families of IoT use cases that impact business outcomes based on the company Flutura's analysis of data from various markets over 24 months.
2. The six families are: generating new revenue streams, reducing energy consumption, reducing asset downtime, lowering defect rates in manufacturing, improving security, and enabling pricing innovations.
3. Examples are provided for each category, such as monitoring oil wells as a service, reducing fleet fuel consumption through sensor data analysis, and dynamic pricing of leased assets using usage statistics.
1) Predictive analytics using IoT data faces unique challenges due to issues with data quality from IoT sources. The "data-insight gap" is a challenge for obtaining accurate predictions from incomplete and inconsistent IoT data.
2) Current IoT+predictive architectures are cloud-centric but future architectures will move more of the processing and analytics to the edge to improve responsiveness and deal with high data volumes.
3) Cleaning and preparing IoT data for machine learning algorithms is a major challenge since most advanced techniques require large volumes of consistent, high-quality data but IoT data is often incomplete and inconsistent. A two-tiered approach using ML for both data cleaning and predictive modeling may help
OT - How IoT will Impact Future B2B and Global Supply Chains - SS14Mark Morley, MBA
This presentation was originally given at an EDIFICE plenary in Brussels in May 2014. EDIFICE is a European based industry association driving B2B standards across the high tech industry. The presentation discussed digital disruption and how the Internet of Things is likely to impact future design of B2B platforms and global supply chains. - Updated March 2015
This slide explains the concept of Industrial Internet of Things. It covers IIot's present Market Landscape , IoT segments by IIoT, Ecosystem analysis, Major Drivers, Major challenges faced by Value chain players, Potential use cases along my analysis and recommendations on IIoT Technology and market landscape.
Industrial Internet of Things (IIoT) for Automotive Paint Shop OperationsRam Shetty
This document discusses the Industrial Internet of Things (IIoT) and its applications in paint shop operations. It provides perspectives from industry analysts, technology providers, and manufacturers on how IIoT can connect information silos and extract business value. The author defines IIoT as integrating processes, industrial automation, and IT systems to continuously improve operator skills across the value chain. Examples of IIoT in paint shops include prognostics/diagnostics for painting robots and energy/environmental management. The discussion focuses on how IIoT can empower workers and amplify human capabilities rather than deskilling labor.
Introduction to the IIoT - Nevada - Sept 2017Matthew Bailey
The document introduces the Industrial Internet of Things (IIoT) and discusses how it can help address various challenges. It notes that the world's population is increasing and moving to cities, putting pressure on food production and resources. The IIoT uses sensors and networks to collect physical world data, which is then processed using analytics and applications to enable intelligent decision-making and more efficient systems. It provides estimates for the large market size of the IIoT and discusses how major companies are using it for applications like smart cities and advanced manufacturing.
The document discusses connectivity frameworks and standards for industrial IoT systems. It provides an overview of the Industrial Internet Consortium's Connectivity Framework, which defines different levels of interoperability and analyzes popular connectivity technologies and standards. The framework guides practitioners in assessing their requirements and choosing the appropriate connectivity standard for their system based on factors like data usage, latency needs, device interchangeability requirements, and integration with other systems and software. Popular standards discussed include DDS, OPC-UA, oneM2M, MQTT, and HTTP.
Sara Granados Cabeza introduces herself and her background, including her education and work at Real-Time Innovations (RTI). She then provides an overview of RTI, describing it as a worldwide company that builds real-time middleware and related tools for industries such as medical, energy, and automotive. Granados Cabeza discusses the Industrial Internet of Things (IIoT), describing it as the convergence of machine and intelligent data to create intelligent systems, and outlines some of the protocols used to connect devices in the IIoT, with an emphasis on the Data Distribution Service (DDS) standard.
Advanced Industrial IoT, IIoT Training Crash Course For You - Tonex TrainingBryan Len
Industrial iot, internet of things. Industrial iot, industry 4 training course - Tonex training
The major impact of IoT can be seen in the industrial sector, with the industries all over the globe moving toward Industry 4.0, IoT is playing a major role in the 4th industrial revolution. The most revolutionary technology in the Industrial sector today is IIoT.
Enabled by the Internet of Things (IoT), Industry 4.0 — also known as the era of digitalization — refers to the use of automation and data exchange in manufacturing with machines making split-second decisions based on real-time data.
Other benefits from IoT-infused Industry 4.0, include:
Richer and more timely analytics
Digitizing and making sense of information
Improving customer satisfaction and customer experience
Improving product quality or keeping product quality intact
Boost efficiency and profitability across the entire organization
Real-time insights that lead to better, faster decisions
Providing all team members with up-to-date, relevant views of production and business processes
Course agenda:
Introduction to Industrial Internet of Things
Industrial automation: PLC and SCADA
Sensor Data Mining and Analytics
Wireless Sensor Area Networks (WSAN)
Design and Development of IIoT systems
Industry 4.0: Smart factory initiative
Industrial cloud platforms
Industrial IoT security
Request more information regarding Industrial IoT, Internet of Things, IIoT, Training Crash Course. Visit tonex.com for course and workshop detail.
https://www.tonex.com/industry-4-0-course-internet-of-things-iot-training/
State of the market for IoT/IIoT and the cloud: What are the emerging opportunities for using interconnected devices and the cloud to provide enterprises with operational efficiencies and more effective mobility?
Ibm Cloud platform and LoRa IoT in smart cityMike Chang
This document discusses IBM's cloud and cognitive IoT solutions. It highlights that IBM Cloud provides a highly secure, scalable and open platform for innovating with IoT. It also describes IBM's end-to-end IoT ecosystem that helps companies build and deploy IoT solutions from chip to cloud. Finally, it promotes IBM Bluemix as an innovation platform that provides the tools, services and runtimes needed to develop cognitive and IoT applications.
This document discusses Internet of Things (IoT) startups in Vietnam. It notes that IoT involves connecting physical devices to exchange data over networks. The opportunities in IoT are huge, with projections of 50 billion smart connected devices by 2020 and $11-14 trillion in potential global economic impact over the next decade. However, IoT adoption is still in early stages, with most investment currently going to enterprise and government projects rather than startups. The document outlines the various components of the IoT value chain including hardware, connectivity infrastructure, platforms, applications, and data security. It concludes that IoT will transform the world over the next 10 years and that Vietnam has strong potential to advance in this area due to its engineering talent
The Industrial IoT depends on connectivity and information exchange. Much of the business value derives from the ability to have independent systems share information in order to derive knowledge, make "smart decisions", and offer behavior and functionality never before possible.
Many industrial systems were designed with a focus on reliability and safety at a time were implicit trust of all components and communication was the norm. Restricting physical access is currently the only practical method for protecting this existing critical infrastructure. This includes the electrical power grid, process control, transportation, or manufacturing systems. This is changing with increased connectivity to the Internet and personal computers as well as awareness of malicious insider threats. Many industrial systems are being (or want to be) connected to external networks using standard technologies like Ethernet and the Internet Protocol Suite (TCP/UDP/IP). These technologies make systems more functional and efficient, unfortunately they also open the critical infrastructure to cyber attacks.
New IIoT Systems are being designed with security as a key concern. New systems can leverage a solid set of security technologies and building blocks for Authentication, Cryptography, Integrity, etc. However these security technologies must be used correctly and in ways that do not disrupt the performance or access to the legitimate applications/devices, yet limit legitimate access to just the needed information (to minimize the insider threats) and denies access to all others. Adding to this difficulties the new systems need to co-exist and (securely) exchange information with the already-deployed legacy systems which were built without such security elements.
Secure DDS (a recent standard from the OMG) is a "secure connectivity middleware" technology that can be used to address these three needs: (1) Build modern secure IIoT systems, (2) Secure legacy Industrial systems being connected on the Internet, and (3) Securely bridge between new and legacy systems. Secure DDS extends the proven Data-Distribution Service (DDS) and Real-Time Publish-Subscribe Protocol (DDS-RTPS) standards with enterprise-grade authentication, encryption and fine-grained security controls while maintaining the peer-to-peer, robustness and scalability features (including secure multicast) that have made DDS a clear choice for critical infrastructure systems.
This presentation introduces the DDS Security specification and provide describe several use-cases that exemplify how these standards are deployed in real-world applications.
This document provides an overview of the Industrial Internet of Things (IIoT) and Data Distribution Service (DDS) as a platform for IIoT integration. It discusses how many industries are facing disruption from trends like decentralized energy and software-driven transportation. The key challenge for IIoT is reducing the exponential increase in integration costs as systems scale up in size and complexity. DDS provides a standardized, data-centric integration approach for real-time IIoT applications and services.
Winning with the Industrial Internet of Things: How to accelerate the journey...accenture
The Industrial Internet of Things (IIoT) will bring new economic growth, reinventing sectors that account for almost two-thirds of world output. The raw technical conditions for the widespread adoption of the IIoT are highly favorable. Today, the IIoT is helping to improve productivity, reduce operating costs and enhance worker safety. As the world struggles to emerge from a phase of weak productivity growth, fragile employment and pockets of inadequate demand, the IIoT offers a chance to redefine many sectors and accelerate economic and employment growth.
The 4th Industrial Revolution and IoT Predictions: A Software PerspectiveJosiah Renaudin
IoT technology is a driving force for what some are calling the 4th Industrial Revolution—or Industry 4.0—which predicts that manufacturing as we know it will morph into something almost completely new. To support this revolution, the demand for software will grow exponentially, possibly leading us to a new software crisis. Stefano Rizzo presents eight key predictions about software and supporting technologies that will make Industry 4.0 a reality and deliver the promises of IoT. Stefano describes a new generation of application development and test/QA platforms replacing the current crop of application lifecycle management (ALM) tools. He predicts that new, unified ALM systems will define a 4th era in software development history. These tools—along with the evolving technologies and practices—must prepare us to meet the requirements that IoT software be available, scalable, flexible, reusable, reliable, secure, certified, compliant, and safe. Join Stefano to look into your future and the explosion of software applications to learn how we will deliver the software that organizations will demand.
APIs enabling IoT summarizes how APIs act as the backbone that connects wireless sensors, big data, and applications in the Internet of Things. It discusses how APIs allow devices and things to be connected and interact, giving examples like Nest using APIs for its smart home products. The document also categorizes different types of web service APIs commonly used for IoT, including SOAP, XML-RPC, JSON-RPC, and REST. Finally, it briefly mentions some popular IoT platform tools and standardization efforts in the IoT/M2M space.
The document discusses open source IoT building blocks for startups including ServIoTicy Datastore, an open source IoT data cloud platform that allows storing and querying sensor data and defining actions. It also discusses App Hosting using Node-RED for creating IoT workflows and GlueThings, and Discovery by integrating the iServe registry to discover APIs and services. Security is addressed through data provenance logging and authentication.
Presented by Bluemix Developer Advocate, Ryan Baxter.
MQTT is a standards-based, lightweight pub/sub messaging protocol ideal for Internet of Things use cases. With implementations in a number of different languages, using MQTT in your applications is simple and straightforward. Ryan Baxter shows how to build an application that connects to an MQTT broker and can receive data from—and issue commands to—a number of different IoT devices.
Topics include:
An overview of MQTT
The different types of messages you can send through an MQTT broker
How to send messages securely through the broker
How you can use MQTT to perform device management
Scalability concerns (how many devices the broker can handle and at what frequency you can send messages)
Ryan will also focus on the cloud. Since the typical scale of IoT applications often requires the cloud, Ryan shows how cloud-based MQTT solutions can make building IoT apps even easier.
The document discusses various Internet of Things (IoT) technologies including sensors, wireless standards, device management, authentication, data analytics and standards bodies. It provides overviews of Bluetooth Low Energy, 6LoWPAN, LTE-MTC, Zigbee, ANT+, EnOcean and other wireless technologies. It also discusses full IoT stacks, big data and streaming technologies, and key standards organizations.
Predictive Analytics: Why (I)IoT Is DifferentAltoros
This document discusses how predictive analytics can help address challenges with Internet of Things (IoT) data. While existing machine learning frameworks are useful, IoT data often has more "wrinkles" like variability, volume, and veracity that make insights difficult. Edge computing architectures that move some decision making and data processing to the network edge can help address this by filtering data before it reaches core systems. A two-tier machine learning approach combining frameworks with custom models tailored for IoT data wrangling may help bridge the gap between data realities and insight aspirations for predictive analytics with IoT.
Bolt IoT Platform: How to build IoT products and prototypes easily.Pranav Pai Vernekar
Bolt is an Internet of Things platform (Hardware+Software) that enables businesses and makers to easily build IoT prototypes and products. (http://boltiot.com/)
Currently products such as Dosamatic an Automatic Dosa Maker, iSafe Hooter which looks at crowdsourcing security, Humanoid Robot, Smart Bell - an automated school bell, IoT Lighting, Be Lawn Smart - an automated gardening system etc. are built using the Bolt platform.
Bolt was one of the technologies showcased at Startup-Konnect program 2015 organised on sidelines of the visit by Prime Minister of India to the Silicon Valley, USA.
Bolt has also won awards such as the DST Lockheed Martin India Innovation Growth program and IoT Tech 10 by Intel and IBM for its innovation and patented technology.
Intelligent Manufacturing is a Smart Choice to gain on competitiveness and sustainability. Innovation technologies to boost productivity and visibility of manufacturing opearations.
A History of IIoT Cyber-Attacks & Checklist for Implementing Security [Infogr...GlobalSign
The Industrial Internet of Things, or Industry 4.0, is improving operational efficiencies for global industrial systems on a scale never seen before. The IIoT holds great potential for improved communications, productivity, quality control, supply chain efficiencies and overall business operations. With this broader connectivity, comes new attack vectors, vulnerabilities and opportunities for hackers. We have created this infographic to show some of the top cyber-attacks in the industrial sector and how they could have been prevented. Now is the time to take our advice and prevent an attack on your business.
Read More: https://www.globalsign.com/en/blog/industrial-internet-of-things-cyber-attacks-infographic/
What are aspects to consider when building apps, in general? What are the benefits of adding new input options to our apps? Presenting prototypes that build support for IoT technologies like Amazon's Alexa on Echo and Amazon AWS IoT Button. User Testing is needed to understand the effectiveness of these new types of input.
The Essentials of Metadata and Taxonomy - Henry Stewart Event
The Next Wave: Using Wikipedia as a Controlled Vocabulary
* Leveraging an online resource for internal use
* Integrating pre-existing unique identifications numbers (UIDs)
* Inherited relations
* Capturing and cataloging
* Risks and remedies
Chris Sizemore BBC Future Technology & Media and Silver Oliver, BBC Future Technology & Media
The document discusses smart factories, which use cyber-physical systems to merge the virtual and physical worlds. This allows manufacturing companies to benefit from increased production and reduced costs and errors through the use of information and communication technology. A smart factory implementation at a Caterpillar plant is presented as a case study, where real-time location tracking systems were used to ensure hydraulic valves and hoses were properly assembled by monitoring the correct torque applied during tightening. The conclusion states that smart industries can eliminate many human errors and make processes more efficient to gain a competitive advantage.
The Internet of Things (IoT), which gives users the ability to control their devices from wherever they are, is moving into industrial automation. Intelligent automation devices and industrial computing enable seamless integration, simplify the way you connect.
How The Iot Affects The Automotive IndustryJeff Lupient
It is said that by 2020, more than 250 million cars will be connected to the internet. This presents an opportunity for carmakers to open up new areas where they could rake in more revenue. For example, car owners are used to purchasing automotive devices, such as in-car entertainment, dash cams, or diagnostic tools, separately. But car manufacturers instead add such features to new models.
This document discusses how the Internet of Things (IoT) will impact businesses. It provides statistics on the growing number of connected devices, with predictions of 50 billion connected devices by 2020. IoT can enable predictive maintenance and reduce costs for facilities management in areas like power, water and fire systems. IoT is also discussed in the context of healthcare, with the potential to improve clinical care through remote patient monitoring and reducing costs through greater efficiency. The overall economic impact of IoT is estimated to reach $11 trillion by 2025 according to one source cited in the document.
This document discusses 5G and its potential impact on the Internet of Things (IoT). It provides background on IoT, including its definition, examples of IoT devices, history and size. It then discusses benefits of IoT for businesses and consumers. Key points made include: 1) IoT refers to billions of physical devices connected to the internet that collect and share data; 2) 5G could unlock IoT's potential by providing higher speeds, lower latency and ability to connect many devices; 3) While 5G may not impact many current IoT projects, industries like manufacturing, transportation and healthcare may be affected.
There are thirteen technologies growing up quickly.
1) Blockchain
2) 5G Network
3) Autonomous Driving
4) Human Augmentation
5) Distributed Cloud
6) DARQ Age
7) Personal Profiling
8) AI Products
9) Data Policing
10) Momentary Markets
11) Automation
12) Reskilling Human Workforce
13) Medical Upgrade
The Internet Of Things will have an increasing impact to all industries and health and fitness are no exception. This definitive guide provides a blue print for the things we all need to keep in mind as we adopt the IOT revolution.
운영기술용 사이버 보안 핵심 가이드 | 월드테크(Wurldtech)
산업인터넷은 엄청난 기회를 약속한다. 각 산업 영역에서 1%의 효율성 개선만으로 수 조원의 비용을 절감할 수 있다. 이러한 잠재력을 실현하기 위해서는 산업인터넷의 보안이 중요하다. 산업 환경에 대한 위협은 실재이며 증가하고 있다. 운영기술(OT) 환경에 대한 보안은 기존의 정보기술(IT)와 다르다. 정보기술(IT)은 디지털 정보 보호에 중점을 두었다면, 운영기술(OT)는 사람과 물리적 자산에 대한 보안에 중점을 둔다. 이러한 보안 솔루션의 요구 조건을 충족하기 위해, 산업적 사고방식, 전용 기술, 운영기술 보안에 특화된 전문성이 필요하다.
The document discusses Internet of Things (IoT) and favoriot's IoT platform. It begins by explaining the three waves of internet development and what constitutes IoT. It then discusses IoT components, maturity phases, benefits, market potential across various sectors, and examples of IoT solutions. The document also introduces favoriot's IoT platform, which aims to enable developers to easily build IoT applications through features like connectivity protocols, device management, data processing, analytics and security.
The document discusses the upcoming CTIA Wireless 2010 trade show in Las Vegas from March 23-25. It will feature over 1200 exhibitors and focus on emerging wireless technologies. The document also provides an update on the IntelliDrive initiative to use wireless connectivity to improve vehicle safety. Finally, the document discusses the growing trend of in-vehicle app stores, using Ford's SYNC platform as an example. It predicts navigation, social media, and entertainment apps will be most popular. Vehicle manufacturers see app stores as a way to increase customer satisfaction rather than direct revenue.
PTC Product Lifecycle Stories eMagazine - Spring 2014PTC
The document discusses how the Internet of Things (IoT) is transforming manufacturing through connecting billions of devices that can be remotely monitored and controlled. This allows manufacturers to more efficiently create, operate, and service products. It describes how dropping sensor costs are enabling more connectivity and data collection from products in use. This data can optimize operations, predict failures to schedule maintenance, and help manufacturers learn how customers use their products to develop new versions. While data privacy and security are concerns, the opportunities of IoT for manufacturers include reducing costs, improving products, and creating new after-sale revenue through services.
The document discusses the emerging trend of the Internet of Things (IoT). It predicts that IoT will become a multi-trillion dollar market by 2020 as more devices become connected to the internet and each other. However, for IoT to reach its full potential, issues around how users and their many IoT devices will connect to networks need to be addressed. The document proposes that approaches like Wi-Fi Certified Passpoint, which allows automatic verification and connection of trusted devices to networks, could help streamline the process of connecting the multitude of IoT devices people will carry. Security is also an important issue that needs consideration as more devices become internet-connected.
One of the best ways to understand the investment potential of IoT is to have insights regarding the market growth potential and the earning power of specific technologies, business sectors or companies. Patent information can provide many valuable insights that can be exploited for finding investment potential of IoT. Most of all, patents can provide insights regarding the state of the art and future direction of IoT innovation for the specific technologies (e.g., Smart UI/UX, Autonomous Vehicles, M2M Connectivity), products/services (e.g., Smart Homes, Healthcare/Medical Devices, Connected Cars, Big Data Analytics) and companies (e.g., Apple, Cisco, IBM, Qualcomm, Samsung). Patents also can provide insights regarding a new company to become play a leading role in the emerging IoT market. Furthermore, patents can provide insights regarding emerging disruptive IoT products/Services by providing IoT products with new performance/value proposition attributes that may not previously have been valued by existing end users (e.g., convergence with other technologies to create synergies). Therefore, one can find the specific IoT technologies, business sectors or companies for investment opportunities in venture capital funding, M&A, patent/technology acquisition/monetization, leveraged buyout and stock investment. Following illustrates some examples of IoT technologies, business sectors and companies for potential investment opportunities that are obtained from patent information.
A guided tour to the internet of things in the sim connected worldMary McEvoy Carroll
Today, the majority of computing power is on smartphones not computers. The point to note here is that they’re all connected, not by an ethernet card, but by a SIM card. This industry shift is already accelerating because of the myriad of devices connected through the Internet of Things (IoT).
After reading the Top 14 IoT Trends to Emerge in 2023 article, you will learn about what the 14 IoT Trends will be happening.
What is IoT?
The Internet of Things (IoT) is a system of connected devices, digital machines, and users with unique identifiers and network transportability that eliminates the need for human-to-human or human-to-machine interaction.
IoT is an important part of the new generation of information technology. Unlike the Internet, the main application objects of IoT are some physical devices, such as vehicles, home appliances, buildings, etc.
By embedding electronic software, sensors and some network connection devices in these physical devices, the exchange of data between devices can be realized, thus establishing a set of interconnected networks.
According to statistics, more than 43 billion devices are currently expected to be connected to the IoT worldwide, which will generate, share, collect and help people use data in a variety of ways.
The 14 most important IoT trends
Here are the 14 most important IoT trends that will change the world in 2023.
The document summarizes the key findings of a Verizon report on the Internet of Things (IoT) market in 2016. It finds that the global IoT market is predicted to grow from $591.7 billion in 2014 to $1.3 trillion in 2019. Many industries are adopting IoT to address social, economic, and business challenges and improve operations. Challenges around data analytics, security, skills, and regulation must still be addressed for the full potential of IoT to be realized.
revista Vritti+edition+6 - mahindracomviva Imix Colombia
Le compartimos una de las ediciones de la revista Vritti con artículos y contenido de interés que cubren NFC (Near field communication), IOT (Internet of things) internet de las cosas, en donde también podrá ver cómo se comporta el crecimiento del mercado de la billetera móvil en Oriente Medio y el papel del dinero móvil en la rehabilitación de los refugiados en las zonas de conflicto. #BilleteraMóvil
The document discusses the future of the Internet of Things (IoT). It covers key topics such as future applications and challenges of IoT, trends in IoT, future job roles, and vision for the future of IoT. Some of the main points discussed include how IoT will transform industries like healthcare and automotive through applications like remote health monitoring and connected vehicles. However, security is a major challenge as more devices are connected. Other trends discussed are growth of smart cities and use of data and artificial intelligence. The future of IoT is seen as limitless with potential in new areas like manufacturing and opportunities for new types of jobs and business models.
Prepared by Helene Andre in December 2014
A brief overview of the most promising categories for the Internet of Things from Wearables to Connected Cars to Smart Home
Similar to Industrial Internet of Things (IIoT) (20)
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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!
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
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 .
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
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!
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
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The Internet of Things (IoT) describes the new generation of smart devices that connect to the
internet and offer users the ability to remotely control and monitor their devices. But the brave
new world of IoT consists of more than just wearables and smart home devices. Other sectors
include the Industrial Internet of Things (IIoT) which includes factories, businesses and healthcare.
Sources:
http://www.theverge.com/2015/10/12/9504761/rolls-royce-autonomous-unmanned-shipping-illegal
http://www.fiercecities.com/story/san-jose-smart-streetlight-pilot-boosts-wireless-coverage-and-visibility/2015-12-09
http://www.gartner.com/newsroom/id/3008917
http://www.prweb.com/releases/2013/10/prweb11202450.htm
http://www.computerworld.com/article/2853775/150m-passenger-cars-will-connected-to-the-internet-by-2020.html
http://www.statista.com/statistics/259372/wearable-device-market-value/
Internet of Things (IoT) & Industrial Internet of Things (IIoT) Market Segments
A BIRD’S EYE VIEW OF DIFFERENT
Shipping- Rolls Royce is researching and
developing unmanned cargo ships, or
“drone ships”. The European Union has
already funded a $4 million study to
develop a crewless cargo ferry.
Healthcare- Market Research
reports that the Internet of Things
in the healthcare industry will
claim $117 billion by 2020.
Smart Cities- Gartner predicts that
Smart Cities will boast 9.7 billion
connected devices by 2020. The traffic
light of the future will not only provide
greater lighting efficiency but will also
boost local wireless signals.
Connected Cars- Gartner predicts
that by 2020, approximately 150
million vehicles will boast Wi-Fi
connectivity, and 60%-75% of them
will consume, create and share
Web-based data.
Wearables- According to
Statista, wearables will hold a
$12.6 Billion market value.
4
Smart Home- Smart home devices include lighting,
HVAC (heating, ventilation, and air conditioning) and
home entertainment equipment. Transparency
Market Research forecasts that the smart home
industry will be worth $16.4 billion by 2019.