Making sense of IoT, M2M and Big Data
•Download as PPTX, PDF•
1 like•414 views
This document provides an overview of the key components of an IoT architecture, including sensors, networks, data processing, analytics, and applications. Sensors are described as the "eyes and ears" of IoT, collecting data subject to power and data transfer constraints. Networks are the "lifeline" connecting diverse devices using various protocols. Data processing handles the "big data" generated through distributed storage and parallel processing techniques. Analytics provide the "mind" through machine learning and other techniques to make sense of data. Finally, applications represent the "life of IoT", as shown through a connected vehicles case study.
Report
Share
Report
Share
Recommended
Internet of things architecture perspective - IndicThreads Conference
Internet of Things is gaining unprecedented amount of traction across the globe. And the large organizations are making huge investments on IoT, which is going to change the shape of the 'Connected World'. Hence, it becomes necessarily important to understand the components, technologies and their interaction in the world of IoT.
The session would cover the Introduction of IoT, its components, the forces that have brought the ecosystem to mainstream and its adoption across industries. Then along with the Reference Architecture, I would discuss a few of industry implementations in IOT area with reference to the architecture. Next would be a comparative analysis of various IOT platforms available in the market and their architectures. And finally I would take up the challenges in making IOT as pervasive as it is believed to be.
A key take away would be the architectural appreciation of IOT landscape. As of now, any and every player in the market has begun to advertise their product as an IOT platform but a comprehensive review of fundamental design and architecture would bring this plethora of products (including open source ones) in the right purview. And that's the objective of this talk.
Session at the IndicThreads.com Confence held in Pune, India on 27-28 Feb 2015
http://www.indicthreads.com
http://pune15.indicthreads.com
A Reference Architecture for IoT
The document presents an overview of Internet of Things (IoT) concepts and proposes a reference architecture for IoT. It discusses core IoT concerns like connectivity, device management, data handling and security. It describes common IoT device types like Arduino, Raspberry Pi and communication protocols like HTTP, MQTT, CoAP. The proposed reference architecture aims to provide a scalable and secure way to interact with billions of connected devices by addressing issues like management, data processing and disaster recovery. An example implementation of the architecture for an RFID attendance tracking system is also presented.
Internet of Things Architecture / Topology
The document discusses Internet of Things (IoT) architecture and topologies. It describes how IoT connects physical devices via the internet, enabling them to send and receive data. Key components include IoT devices, gateways that facilitate communication between devices and the cloud, and the IoT cloud platform that stores and processes device data. The document outlines common IoT architectures, technologies, protocols, issues, and provides examples of IoT applications.
IoT World - creating a secure robust IoT reference architecture
This document discusses creating a secure Internet of Things (IoT) architecture. It recommends three rules for IoT security: don't be stupid, be smart, and think about what's different for IoT devices. It also notes unique challenges for IoT security like long device lifecycles and limited capabilities. The document advocates for using federated identity and access control to securely manage devices and data. It presents a reference architecture for IoT that incorporates real-time stream processing, analytics, identity management, and open source components.
AWS Learning Series: Harnessing the Power of Data | An Introduction to IoT
An Introduction to IoT
Learn how to deploy and securely manage IoT devices at scale, including low-powered and edge devices, and to gather intelligence from device behavior using advanced analytics, as well as how to architect scalable and secure IoT solutions on the AWS Cloud.
IoT is rapidly emerging with the number of connected devices globally already in the billions and growing quickly. Understanding how to plan and build solutions to ingest and manage all these devices and data is key to your organizations success.
This session was presented in Australia and New Zealand in Augsut 2018.
Guide to IoT Projects and Architecture with Microsoft Cloud and Azure
This document provides an overview of IoT project architectures and processes. It discusses common IoT initiatives by function and approval levels. It also summarizes typical project timelines and business objectives. Additionally, it outlines the key components of an IoT solution including device connectivity, analytics, and presentation layers. Finally, it provides examples of how IoT can benefit different industries.
A Pragmatic Reference Architecture for The Internet of Things
We already know that the Internet of Things is big. It isn't something that's coming. It's already here. From manufacturing to healthcare, retail and hospitality, transportation, utilities and energy, the shift from Information Technology to Operational Technology and the value that this massive explosion of data can provide is taking the world by storm.
But IoT isn't a product. It's not something you can buy. As with any gold rush, snake oil abounds. The potential is massive and the good news is that the technology and platforms are already here!
But how do you get started? What are the application and networking protocols at play? How do you handle the ingestion of massive, real-time streams of data? Where do you land the data? What kind of insights does the data at scale provide? How do you make sense of it and/or take action on the data in real time scaling to hundreds if not hundreds of thousands of devices per deployment?
In this session, Rick G. Garibay will share a pragmatic reference architecture based on his experience working with dozens of customers in the field and provide an insider’s view on some real-world IoT solutions he's led. He'll demystify what IoT is and what it isn't, discuss patterns for addressing the challenges inherent in IoT projects and how the most popular public cloud vendors are already providing the capabilities you need to build real-world IoT solutions today.
Iot Overview
The slide deck provides the details of IoT Architecture, Market/Projects worldwide, IoT Frameworks. Also covers overview of Raspberry Pi, and how can you start your IoT project with it.
Recommended
Internet of things architecture perspective - IndicThreads Conference
Internet of Things is gaining unprecedented amount of traction across the globe. And the large organizations are making huge investments on IoT, which is going to change the shape of the 'Connected World'. Hence, it becomes necessarily important to understand the components, technologies and their interaction in the world of IoT.
The session would cover the Introduction of IoT, its components, the forces that have brought the ecosystem to mainstream and its adoption across industries. Then along with the Reference Architecture, I would discuss a few of industry implementations in IOT area with reference to the architecture. Next would be a comparative analysis of various IOT platforms available in the market and their architectures. And finally I would take up the challenges in making IOT as pervasive as it is believed to be.
A key take away would be the architectural appreciation of IOT landscape. As of now, any and every player in the market has begun to advertise their product as an IOT platform but a comprehensive review of fundamental design and architecture would bring this plethora of products (including open source ones) in the right purview. And that's the objective of this talk.
Session at the IndicThreads.com Confence held in Pune, India on 27-28 Feb 2015
http://www.indicthreads.com
http://pune15.indicthreads.com
A Reference Architecture for IoT
The document presents an overview of Internet of Things (IoT) concepts and proposes a reference architecture for IoT. It discusses core IoT concerns like connectivity, device management, data handling and security. It describes common IoT device types like Arduino, Raspberry Pi and communication protocols like HTTP, MQTT, CoAP. The proposed reference architecture aims to provide a scalable and secure way to interact with billions of connected devices by addressing issues like management, data processing and disaster recovery. An example implementation of the architecture for an RFID attendance tracking system is also presented.
Internet of Things Architecture / Topology
The document discusses Internet of Things (IoT) architecture and topologies. It describes how IoT connects physical devices via the internet, enabling them to send and receive data. Key components include IoT devices, gateways that facilitate communication between devices and the cloud, and the IoT cloud platform that stores and processes device data. The document outlines common IoT architectures, technologies, protocols, issues, and provides examples of IoT applications.
IoT World - creating a secure robust IoT reference architecture
This document discusses creating a secure Internet of Things (IoT) architecture. It recommends three rules for IoT security: don't be stupid, be smart, and think about what's different for IoT devices. It also notes unique challenges for IoT security like long device lifecycles and limited capabilities. The document advocates for using federated identity and access control to securely manage devices and data. It presents a reference architecture for IoT that incorporates real-time stream processing, analytics, identity management, and open source components.
AWS Learning Series: Harnessing the Power of Data | An Introduction to IoT
An Introduction to IoT
Learn how to deploy and securely manage IoT devices at scale, including low-powered and edge devices, and to gather intelligence from device behavior using advanced analytics, as well as how to architect scalable and secure IoT solutions on the AWS Cloud.
IoT is rapidly emerging with the number of connected devices globally already in the billions and growing quickly. Understanding how to plan and build solutions to ingest and manage all these devices and data is key to your organizations success.
This session was presented in Australia and New Zealand in Augsut 2018.
Guide to IoT Projects and Architecture with Microsoft Cloud and Azure
This document provides an overview of IoT project architectures and processes. It discusses common IoT initiatives by function and approval levels. It also summarizes typical project timelines and business objectives. Additionally, it outlines the key components of an IoT solution including device connectivity, analytics, and presentation layers. Finally, it provides examples of how IoT can benefit different industries.
A Pragmatic Reference Architecture for The Internet of Things
We already know that the Internet of Things is big. It isn't something that's coming. It's already here. From manufacturing to healthcare, retail and hospitality, transportation, utilities and energy, the shift from Information Technology to Operational Technology and the value that this massive explosion of data can provide is taking the world by storm.
But IoT isn't a product. It's not something you can buy. As with any gold rush, snake oil abounds. The potential is massive and the good news is that the technology and platforms are already here!
But how do you get started? What are the application and networking protocols at play? How do you handle the ingestion of massive, real-time streams of data? Where do you land the data? What kind of insights does the data at scale provide? How do you make sense of it and/or take action on the data in real time scaling to hundreds if not hundreds of thousands of devices per deployment?
In this session, Rick G. Garibay will share a pragmatic reference architecture based on his experience working with dozens of customers in the field and provide an insider’s view on some real-world IoT solutions he's led. He'll demystify what IoT is and what it isn't, discuss patterns for addressing the challenges inherent in IoT projects and how the most popular public cloud vendors are already providing the capabilities you need to build real-world IoT solutions today.
Iot Overview
The slide deck provides the details of IoT Architecture, Market/Projects worldwide, IoT Frameworks. Also covers overview of Raspberry Pi, and how can you start your IoT project with it.
Enterprise, Architecture and IoT
Session on Role of IoT in Enterprise and Architecture by Mr.Radhesh Radhakrishnan at the second Kochi IoT Meetup
Introduction to IoT Architectures and Protocols
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
IoT architecture
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends:
Exposing the device to a management framework
Exposing that management framework to a business centric logic
Exposing that business layer and data to end users.
This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles between cloud, APIs and native hardware/software configurations.
Iot architecture
The document discusses the key features and architecture of the Internet of Things (IoT). It describes IoT as connecting physical devices through sensors and software to collect and exchange data over networks. The key features discussed are artificial intelligence, interconnectivity, distributed processing, heterogeneity, interoperability, scalability, security, and dynamic changes. The basic IoT architecture includes sensor networks, gateways, and communication technologies to connect devices. Sensor networks gather data from various sensors, while gateways act as an interface between sensor networks and cloud/application services. Common wireless technologies enabling IoT device connectivity include RFID, WLAN, and short-range wireless protocols.
IoT Cloud architecture
This document summarizes an Internet of Things (IoT) meetup that covered various topics:
- Introduction to IoT and how objects can transfer data over networks.
- Introduction to cloud computing and how resources are shared over the internet.
- IoT architecture including things, gateways, and networks/cloud.
- IoT gateways like Raspberry Pi that interface devices and cloud.
- Sensor interfaces like XBee and RS-485 that connect to gateways.
- Network interfaces like WiFi and GPRS to connect gateways to cloud.
- Cloud architecture models from various sources.
- Data acquisition from devices using open-source Ponte software.
- Data storage
IoT - Apps & Services
The document discusses several challenges and opportunities related to connecting devices in the Internet of Things (IoT) to internet services and applications. It notes that while billions of devices have been connected, more can be done to utilize the data. Specifically, it addresses the need for semantic interfaces and data mining/machine learning techniques to overcome heterogeneity in integrating IoT devices with internet services and applications. Additionally, it discusses approaches for storing the large amounts of data produced and developing middleware platforms to enable new service creation and deployment on top of collected IoT information.
Internet of things applications covering industrial domain
Internet of things (IOT) applications covering industrial domain was presented at World congress on Industrial Automation on July 22 '15. This presentation provides an overview of IOT and industrial IOT including protocols, system architecture, industrial IOT key differences, industrial IOT system architecture and requirements, architectural components such as operational technology(OT) and informational technology components (IT), Edge processing device hardware and software.
System design of multiprotocol iot
The document discusses the system design of multiprotocol IoT. It provides an overview of IoT capabilities and architecture, covering multiple protocols at both the application and lower layers. Requirements for IoT "Things" are outlined, such as functional modes, power consumption, and security considerations. Challenges for designing low-power IoT Things are also examined, along with potential solutions.
Internet of Things A Vision, Architectural Elements, and Future Directions
Present paper aboat Internet of Things (IoT) A Vision, Architectural Elements, and Future Directions
Overall IoT vision and the technologies that will achieve the it
Application domains in IoT with a new approach in defining them
Cloud centric Internet of Things realization and challenges
Case study of data analytics on the Aneka/Azure cloud platform
Open Challenges and Future Directions
Smart environment application domains
Cloud computing
Cloud centric Internet of Things
Microsoft Azure
Ibm_IoT_Architecture_and_Capabilities
This document provides an overview of IBM's Internet of Things architecture and capabilities. It discusses how IBM's Informix database can be used in intelligent gateways and the cloud for IoT solutions. Specifically, it outlines how Informix is well-suited for gateway and cloud environments due to its small footprint, support for time series and spatial data, and ability to handle both structured and unstructured data. The document also provides examples of how Informix can be used with Node-RED and Docker to develop IoT applications and deploy databases in the cloud.
IoT Introduction Architecture and Applications
The document provides an overview of the Internet of Things (IoT). It discusses IoT architecture including components like sensors, gateways, cloud platforms and applications. It outlines various IoT applications in different domains like manufacturing, healthcare, transportation etc. The document also discusses challenges in IoT deployment related to interoperability, security and skills. It highlights the importance of skills like embedded systems, cloud computing, data analytics for jobs in IoT domain. Finally, it gives examples of how a company called UCT is applying IoT in products like street lighting, irrigation and building automation.
Iot architecture report
This report describes how things get connected via internet.It also describes how actually iot architecture looks like.The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. Thermostats, cars, lights, refrigerators, and more appliances can all be connected to the IoT.
Simon Ford - ARM and the Open Internet of Things
This document discusses the history and future of connectivity in devices from electric motors to the emerging Internet of Things (IoT). It notes that electrification starting in the early 1900s brought electric motors to homes, improving quality of life. Then in the 1950s, transistors and integrated circuits brought computers and information to homes. Now, IoT will connect everyday objects to networks, increasing software complexity for embedded systems. IoT will also change how devices are built and paid for as more startups enter the market. The document outlines ARM's vision and strategy for the mbed ecosystem to support this transition to a world of smart, low-power, connected devices.
MachinePulse at the November Open Hardware Meetup, Mumbai 2014
A presentation of open hardware and software that powers the Internet of Things. From hardware like the Raspberry Pi, Beaglebone to open source software like NodeJS, databases like MongoDB and AngularJS.
Tutorial on Internet of Thing (IoT) Paradigm in Consumer Applications
Tutorial on Internet of Thing (IoT) Paradigm in Consumer Applications given at 11th IEEE Consumer Communication and Networking Conference 2014 - Las Vegas. R.Giaffreda slides subset
Internet of Things with Cloud Computing and M2M Communication
The IoT is the network of physical objects with intelligence. It can be more secure with MQTT protocol for Machine to Machine Communication and more storage capability can be achieved by using cloud computing.
Soldatos cluster-h2020-security-projects-etsi-nice-221018-v final
An overview of H2020 IoT projects of the Security/Privacy Cluster, as presented in the ETSI Security workshop during the ETSI IoT week in October 2018
社会におけるIoTとセキュリティ、匿名化技術: 産業IoTのサイバーセキュリティ技術
- Rubicon Labs is a Silicon Valley cybersecurity startup that provides solutions to strengthen IoT security.
- They offer a unique cryptographic key management solution using symmetric cryptography and zero-knowledge keys that is simple, fast, and low-cost.
- Their cloud identity service model can provide identity to low-powered IoT devices and support the transition of business models from products to services.
An IoT gateway centric architecture to provide novel m2m services
The document proposes a gateway-centric IoT architecture to integrate machine-to-machine (M2M) devices and provide novel services. The architecture includes M2M devices and endpoints that connect to a wireless gateway. The gateway acts as the backbone and uses a RESTful interface and Sensor Markup Language to facilitate discovery of devices and retrieval of sensor data. A mobile application is also presented which allows users to dynamically discover sensors and control connected actuators through the wireless gateway. A prototype implementation demonstrates connecting both real and simulated devices to provide sensing and actuation use cases.
Io t internship
The document describes a 5-day internship program organized by the National Power Training Institute (NPTI) on Internet of Things applications in the power and energy sectors. The program will provide both theoretical and hands-on training on topics like IoT architecture, sensors, Arduino and Raspberry Pi programming, cloud computing, and IoT applications for renewable energy, smart metering, and condition monitoring. It will involve lectures, simulations, and projects implementing systems like weather stations and solar monitoring with cloud interfaces. The target audience are college students and engineers, and registration costs Rs. 2,360. The program aims to equip participants with skills for applying IoT in energy management and grid reliability.
IoT ( M2M) - Big Data - Analytics: Emulation and Demonstration
The document discusses Internet of Things (IoT) concepts including emulation and demonstration of IoT platforms, architectures, and technologies. It provides examples of using sensors, MQTT brokers, Node-Red, and IBM IoT platforms to collect, transmit, and analyze IoT data from devices. Sections include presentations on IoT history and monitoring, as well as emulations of Philips Hue lighting and sensors to demonstrate IoT data collection and control capabilities.
IOT and Big Data - The Perfect Marriage
If you have somehow missed the hype, the Internet of Things (IoT) is a fast-growing constellation of internet-connected sensors attached to a wide variety of 'things'. Sensors can take a multitude of possible measurements, Internet connections can be wired or wireless, while 'things' can literally be any object to which you can attach or embed a sensor. If you carry a smartphone, for example, you become a multi-sensor IoT 'thing', and many of your day-to-day activities can be tracked, analysed and acted upon.
Many of the conversations taking place around the IoT are incomplete without a mention of big data. Big data is characterised by “4 V’s”: volume, variety, velocity and veracity. That is, big data comes in large amounts (volume), is a mixture of structured and unstructured information (variety), arrives at (often real-time) speed (velocity) and can be different levels of uncertainty (veracity).
As organizations step into IoT, they must understand the symbiotic relationship between IoT and big data. Just like with any big-data play, merely collecting the data isn't enough. The data must be processed and analyzed to derive meaningful insights, and those insights must drive actionable steps that can improve the business.
What that means is that, without Big Data, the IoT can offer an enterprise little more than noise. But wait…! On the other hand, without IoT, the Big Data is little more than any other software lying idle. Actually you need two to Tango. That’s when you get the perfect marriage!
More Related Content
What's hot
Enterprise, Architecture and IoT
Session on Role of IoT in Enterprise and Architecture by Mr.Radhesh Radhakrishnan at the second Kochi IoT Meetup
Introduction to IoT Architectures and Protocols
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
IoT architecture
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends:
Exposing the device to a management framework
Exposing that management framework to a business centric logic
Exposing that business layer and data to end users.
This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles between cloud, APIs and native hardware/software configurations.
Iot architecture
The document discusses the key features and architecture of the Internet of Things (IoT). It describes IoT as connecting physical devices through sensors and software to collect and exchange data over networks. The key features discussed are artificial intelligence, interconnectivity, distributed processing, heterogeneity, interoperability, scalability, security, and dynamic changes. The basic IoT architecture includes sensor networks, gateways, and communication technologies to connect devices. Sensor networks gather data from various sensors, while gateways act as an interface between sensor networks and cloud/application services. Common wireless technologies enabling IoT device connectivity include RFID, WLAN, and short-range wireless protocols.
IoT Cloud architecture
This document summarizes an Internet of Things (IoT) meetup that covered various topics:
- Introduction to IoT and how objects can transfer data over networks.
- Introduction to cloud computing and how resources are shared over the internet.
- IoT architecture including things, gateways, and networks/cloud.
- IoT gateways like Raspberry Pi that interface devices and cloud.
- Sensor interfaces like XBee and RS-485 that connect to gateways.
- Network interfaces like WiFi and GPRS to connect gateways to cloud.
- Cloud architecture models from various sources.
- Data acquisition from devices using open-source Ponte software.
- Data storage
IoT - Apps & Services
The document discusses several challenges and opportunities related to connecting devices in the Internet of Things (IoT) to internet services and applications. It notes that while billions of devices have been connected, more can be done to utilize the data. Specifically, it addresses the need for semantic interfaces and data mining/machine learning techniques to overcome heterogeneity in integrating IoT devices with internet services and applications. Additionally, it discusses approaches for storing the large amounts of data produced and developing middleware platforms to enable new service creation and deployment on top of collected IoT information.
Internet of things applications covering industrial domain
Internet of things (IOT) applications covering industrial domain was presented at World congress on Industrial Automation on July 22 '15. This presentation provides an overview of IOT and industrial IOT including protocols, system architecture, industrial IOT key differences, industrial IOT system architecture and requirements, architectural components such as operational technology(OT) and informational technology components (IT), Edge processing device hardware and software.
System design of multiprotocol iot
The document discusses the system design of multiprotocol IoT. It provides an overview of IoT capabilities and architecture, covering multiple protocols at both the application and lower layers. Requirements for IoT "Things" are outlined, such as functional modes, power consumption, and security considerations. Challenges for designing low-power IoT Things are also examined, along with potential solutions.
Internet of Things A Vision, Architectural Elements, and Future Directions
Present paper aboat Internet of Things (IoT) A Vision, Architectural Elements, and Future Directions
Overall IoT vision and the technologies that will achieve the it
Application domains in IoT with a new approach in defining them
Cloud centric Internet of Things realization and challenges
Case study of data analytics on the Aneka/Azure cloud platform
Open Challenges and Future Directions
Smart environment application domains
Cloud computing
Cloud centric Internet of Things
Microsoft Azure
Ibm_IoT_Architecture_and_Capabilities
This document provides an overview of IBM's Internet of Things architecture and capabilities. It discusses how IBM's Informix database can be used in intelligent gateways and the cloud for IoT solutions. Specifically, it outlines how Informix is well-suited for gateway and cloud environments due to its small footprint, support for time series and spatial data, and ability to handle both structured and unstructured data. The document also provides examples of how Informix can be used with Node-RED and Docker to develop IoT applications and deploy databases in the cloud.
IoT Introduction Architecture and Applications
The document provides an overview of the Internet of Things (IoT). It discusses IoT architecture including components like sensors, gateways, cloud platforms and applications. It outlines various IoT applications in different domains like manufacturing, healthcare, transportation etc. The document also discusses challenges in IoT deployment related to interoperability, security and skills. It highlights the importance of skills like embedded systems, cloud computing, data analytics for jobs in IoT domain. Finally, it gives examples of how a company called UCT is applying IoT in products like street lighting, irrigation and building automation.
Iot architecture report
This report describes how things get connected via internet.It also describes how actually iot architecture looks like.The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. Thermostats, cars, lights, refrigerators, and more appliances can all be connected to the IoT.
Simon Ford - ARM and the Open Internet of Things
This document discusses the history and future of connectivity in devices from electric motors to the emerging Internet of Things (IoT). It notes that electrification starting in the early 1900s brought electric motors to homes, improving quality of life. Then in the 1950s, transistors and integrated circuits brought computers and information to homes. Now, IoT will connect everyday objects to networks, increasing software complexity for embedded systems. IoT will also change how devices are built and paid for as more startups enter the market. The document outlines ARM's vision and strategy for the mbed ecosystem to support this transition to a world of smart, low-power, connected devices.
MachinePulse at the November Open Hardware Meetup, Mumbai 2014
A presentation of open hardware and software that powers the Internet of Things. From hardware like the Raspberry Pi, Beaglebone to open source software like NodeJS, databases like MongoDB and AngularJS.
Tutorial on Internet of Thing (IoT) Paradigm in Consumer Applications
Tutorial on Internet of Thing (IoT) Paradigm in Consumer Applications given at 11th IEEE Consumer Communication and Networking Conference 2014 - Las Vegas. R.Giaffreda slides subset
Internet of Things with Cloud Computing and M2M Communication
The IoT is the network of physical objects with intelligence. It can be more secure with MQTT protocol for Machine to Machine Communication and more storage capability can be achieved by using cloud computing.
Soldatos cluster-h2020-security-projects-etsi-nice-221018-v final
An overview of H2020 IoT projects of the Security/Privacy Cluster, as presented in the ETSI Security workshop during the ETSI IoT week in October 2018
社会におけるIoTとセキュリティ、匿名化技術: 産業IoTのサイバーセキュリティ技術
- Rubicon Labs is a Silicon Valley cybersecurity startup that provides solutions to strengthen IoT security.
- They offer a unique cryptographic key management solution using symmetric cryptography and zero-knowledge keys that is simple, fast, and low-cost.
- Their cloud identity service model can provide identity to low-powered IoT devices and support the transition of business models from products to services.
An IoT gateway centric architecture to provide novel m2m services
The document proposes a gateway-centric IoT architecture to integrate machine-to-machine (M2M) devices and provide novel services. The architecture includes M2M devices and endpoints that connect to a wireless gateway. The gateway acts as the backbone and uses a RESTful interface and Sensor Markup Language to facilitate discovery of devices and retrieval of sensor data. A mobile application is also presented which allows users to dynamically discover sensors and control connected actuators through the wireless gateway. A prototype implementation demonstrates connecting both real and simulated devices to provide sensing and actuation use cases.
Io t internship
The document describes a 5-day internship program organized by the National Power Training Institute (NPTI) on Internet of Things applications in the power and energy sectors. The program will provide both theoretical and hands-on training on topics like IoT architecture, sensors, Arduino and Raspberry Pi programming, cloud computing, and IoT applications for renewable energy, smart metering, and condition monitoring. It will involve lectures, simulations, and projects implementing systems like weather stations and solar monitoring with cloud interfaces. The target audience are college students and engineers, and registration costs Rs. 2,360. The program aims to equip participants with skills for applying IoT in energy management and grid reliability.
What's hot (20)
Internet of things applications covering industrial domain
Internet of things applications covering industrial domain
Internet of Things A Vision, Architectural Elements, and Future Directions
Internet of Things A Vision, Architectural Elements, and Future Directions
MachinePulse at the November Open Hardware Meetup, Mumbai 2014
MachinePulse at the November Open Hardware Meetup, Mumbai 2014
Tutorial on Internet of Thing (IoT) Paradigm in Consumer Applications
Tutorial on Internet of Thing (IoT) Paradigm in Consumer Applications
Internet of Things with Cloud Computing and M2M Communication
Internet of Things with Cloud Computing and M2M Communication
Soldatos cluster-h2020-security-projects-etsi-nice-221018-v final
Soldatos cluster-h2020-security-projects-etsi-nice-221018-v final
An IoT gateway centric architecture to provide novel m2m services
An IoT gateway centric architecture to provide novel m2m services
Viewers also liked
IoT ( M2M) - Big Data - Analytics: Emulation and Demonstration
The document discusses Internet of Things (IoT) concepts including emulation and demonstration of IoT platforms, architectures, and technologies. It provides examples of using sensors, MQTT brokers, Node-Red, and IBM IoT platforms to collect, transmit, and analyze IoT data from devices. Sections include presentations on IoT history and monitoring, as well as emulations of Philips Hue lighting and sensors to demonstrate IoT data collection and control capabilities.
IOT and Big Data - The Perfect Marriage
If you have somehow missed the hype, the Internet of Things (IoT) is a fast-growing constellation of internet-connected sensors attached to a wide variety of 'things'. Sensors can take a multitude of possible measurements, Internet connections can be wired or wireless, while 'things' can literally be any object to which you can attach or embed a sensor. If you carry a smartphone, for example, you become a multi-sensor IoT 'thing', and many of your day-to-day activities can be tracked, analysed and acted upon.
Many of the conversations taking place around the IoT are incomplete without a mention of big data. Big data is characterised by “4 V’s”: volume, variety, velocity and veracity. That is, big data comes in large amounts (volume), is a mixture of structured and unstructured information (variety), arrives at (often real-time) speed (velocity) and can be different levels of uncertainty (veracity).
As organizations step into IoT, they must understand the symbiotic relationship between IoT and big data. Just like with any big-data play, merely collecting the data isn't enough. The data must be processed and analyzed to derive meaningful insights, and those insights must drive actionable steps that can improve the business.
What that means is that, without Big Data, the IoT can offer an enterprise little more than noise. But wait…! On the other hand, without IoT, the Big Data is little more than any other software lying idle. Actually you need two to Tango. That’s when you get the perfect marriage!
Paper6745 presentation tianjian
Paper presentation for IEEE BigData 2014 Paper 6745
Building A Massive Stream Computing Platform For Flexible Applications
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web...
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web of Things Applications
The 8th IEEE International Conference on Internet of Things (iThings 2015), 11-13 December 2015, Sydney, Australia
Amelie Gyrard, Christian Bonnet, Karima Boudaoud, Martin Serrano
Presentation aina2016 seg3.0_methodology_v2
30th IEEE International Conference on Advanced Information Networking and Applications (AINA-2016) March 23-25, 2016, Crans-Montana, Switzerland
Connected Smart Cities: Interoperability with SEG 3.0 for the Internet of Things
Semantic Interoperability
Methodology
Linked Open Data
Linked Open Vocabularies
Linked Open Reasoning
Linked Open Services
Internet of Things
Web of Things
Semantic Web of Things
Smart cities
"HFSP: Size-based Scheduling for Hadoop" presentation for BigData 2014
The document proposes a new scheduler called Hadoop Fair Sojourn Protocol (HFSP) that prioritizes jobs based on estimated job size to improve system response times for short jobs. HFSP estimates job sizes both offline using prior information and online by monitoring early task performance. It uses a "virtual size" that decreases over time to avoid starvation of large jobs. Experiments show HFSP reduces average job completion times by 16% compared to the default Hadoop scheduler.
IEEE big data 2015
This document summarizes a presentation on simplifying web analytics for digital marketing. It discusses challenges like identifying optimal marketing spend across multiple channels and privacy concerns with collecting user data. It then describes a software prototype that audits, monitors, and reports on tags deployed on websites to track user behavior. Real-time dashboards provide visibility into tag performance and compliance. The tool aims to empower marketers and analysts with tag-related information.
Tutorial at IEEE WF-IOT Dec. 2016 - Five Years of Research and Innovation Exp...
This 2 hours tutorial presented lessons learnt in 5 years of research and innovation in the domain of Internet of Things. It was structured in three main parts (research, development and business) reflecting and sharing the personal journey of the presenter in this exciting field.
IEEE Internet of Things (IoT) Initiative in Ukraine #iotconfua
The document provides information about the IEEE (Institute of Electrical and Electronics Engineers) and its Internet of Things (IoT) Initiative. The IEEE is a professional association for engineers with over 400,000 members worldwide. It produces over 30% of literature in electrical engineering and computer science fields. The IEEE IoT Initiative aims to serve as a platform for the global IoT technical community to learn, share knowledge, and collaborate on IoT technologies and applications. It hosts webinars, publishes newsletters and journals, holds events, and develops standards to advance the IoT field.
AdaM: an Adaptive Monitoring Framework for Sampling and Filtering on IoT Devices
This document summarizes an adaptive monitoring framework called AdaM that dynamically adjusts sampling periods and filtering ranges for data collected from IoT devices. AdaM aims to reduce data volumes, network traffic, and energy consumption on IoT devices while maintaining accuracy. It uses probabilistic exponential weighted moving averages and adaptive algorithms to adjust sampling periods and filtering ranges based on the variability and evolution of collected metric streams. An evaluation shows AdaM significantly reduces processing, network traffic, and energy use compared to other techniques while achieving high estimation accuracy above 89% on various real-world datasets.
Introduction to Volansys Technologies
Volansys is Next Generation Digital Transformation, Product Realization, and Data Sense company, which acts as a ‘One stop solution enabler’ to realize your ideas into life. We deliver consistent customer experience, business efficiency, and actionable insights by leveraging integrated set of leading technologies like Big Data Analytics, Mobility, Cloud Computing, Unified Communication, Sensorization, Hyperscaling, Business Intelligence, Perceptual Computing etc.
IEEE IOT PROJECT TITLE 2015-16
This document outlines various Internet of Things (IoT) projects conducted by Spiro Solutions Pvt. Ltd. between 2014-2015. It lists 22 projects related to areas like healthcare, energy management, automation, security, and more. Each project listing includes a code, title, application domain, and year. The projects focus on applications in fields such as monitoring patient health, managing renewable energy sources, industrial automation, and smart home security using IoT platforms and technologies.
2015 IEEE CESdownload part 2 - josephwei
IEEE Consumer Electronics Society Feb. 2015 meeting on on wearables, IoT and 3D Printing from the 201 CES show in Las Vegas
AI IEEE
This paper presents a study using an artificial neural network (ANN) for load forecasting in the smart grid. Specifically, it uses a backpropagation network to forecast electricity load in Ontario, Canada based on weather and other input data. The paper describes collecting hourly load and weather data over two years, normalizing the data, creating a three-layer backpropagation network with different numbers of neurons, training the network using two algorithms, and testing the network on a separate data set to analyze forecast accuracy. The results show the ANN approach is able to accurately forecast electricity load based on the input factors.
IEEE SusTech IoT Keynote Presentation 10/10/16
Mark Goldstein, President of International Research Center gave the opening keynote address “Internet of Things – Transformative Megatrends for Sustainability” to the IEEE Conference on Technologies for Sustainability (IEEE SusTech, http://sites.ieee.org/sustech/) on October 10, 2016 in Phoenix, AZ. He explored the next Internet wave, the Internet of Things (IoT), expected to connect tens of billions of new sensors and devices in the coming years driving sustainability while transforming home, business, government, industrial, medical, transportation, and other complex ecosystems. This deck examines how IoT will be implemented and monetized creating new business models from pervasive sensor deployments and data gathering, accompanied by new privacy and security risks. Explore IoT’s roadblocks and operational challenges, emerging standards and protocols, gateway and wireless integration, and big data strategies and opportunities.
How to Build an IoT Startup - Syam @IEEE TENSYMP 2015
This document provides advice for building an IoT startup based on the author's experience founding iRam Technologies. It discusses iRam's focus on connectivity technology using IPv6, developing products like smart electrical switches. Considerations for new IoT entrepreneurs include identifying target markets and customers, building traction through collaboration and validation, developing recurring revenue business models, and leveraging resources from organizations like IESA and TiE for assistance.
Putting IBM Watson to Work.. Saxena
Discover what comes next for IBM Watson and the industries particularly suited for Watson solutions, such as healthcare, banking, and the financial sector. All of which deal with massive amounts of unstructured data coming from various sources. Find out how the advanced analytics used in Watson are being put to work in businesses around the world.
Internet of things : Beginners view
The document provides an introduction to IoT from the perspective of Emertxe, an IT finishing school focused on embedded systems. It discusses the evolution of computing towards connecting non-digital devices through IoT. IoT blurs technological lines through the combination of hardware, sensors, connectivity and applications. The trends driving IoT include falling costs, widespread internet access, and open source software and hardware. IoT provides opportunities for careers in areas like embedded systems, and students are encouraged to build on fundamentals, gain hands-on experience, and continue learning.
Building an Analytics CoE (Center of Excellence)
This deck is from a workshop I conducted at the Indian Institute of Management, Bangalore (IIMB) on 20th July, 2013.
Agenda:
* What does the organization want to do with analytics? What is the role of the CoE that they envision?
* What is the organizational context? Current providers of analytics? Leadership support?
* What will the Analytics CoE need to be like (now and in the future, up to the planning horizon)?
* Where do we stand with analytics capabilities now, compared to what we need?
* How will we evolve the CoE? Set expectations, drive the evolution, establish the value.
Viewers also liked (20)
IoT ( M2M) - Big Data - Analytics: Emulation and Demonstration
IoT ( M2M) - Big Data - Analytics: Emulation and Demonstration
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web...
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web...
"HFSP: Size-based Scheduling for Hadoop" presentation for BigData 2014
"HFSP: Size-based Scheduling for Hadoop" presentation for BigData 2014
Tutorial at IEEE WF-IOT Dec. 2016 - Five Years of Research and Innovation Exp...
Tutorial at IEEE WF-IOT Dec. 2016 - Five Years of Research and Innovation Exp...
IEEE Internet of Things (IoT) Initiative in Ukraine #iotconfua
IEEE Internet of Things (IoT) Initiative in Ukraine #iotconfua
AdaM: an Adaptive Monitoring Framework for Sampling and Filtering on IoT Devices
AdaM: an Adaptive Monitoring Framework for Sampling and Filtering on IoT Devices
How to Build an IoT Startup - Syam @IEEE TENSYMP 2015
How to Build an IoT Startup - Syam @IEEE TENSYMP 2015
Similar to Making sense of IoT, M2M and Big Data
Industrial Pioneers Days - Machine Learning
VEDLIoT presentation at Industrial Pioneers Days OWL – Machine Learning by Jens Hagemeyer and Carola Haumann
April 20, 2021
IoT Platforms and Architecture
A look at the end-to-end stack for Industrial IoT platforms, including some of the key issues and opportunities to manage at each layer of the solution. See https://Juxtology.com for more.
Role of cloud and analytics in IoT
This document discusses the role of cloud and analytics in IoT. It begins by explaining how IoT connects billions of devices via networks to deliver connected industry solutions. The key value is the data these devices collect. The document then covers several topics:
- IoT technology enablers like cloud computing, protocols, sensors, and gateways
- How sensor data is collected, processed at the edge and in the cloud, analyzed, and used in applications
- Popular IoT and cloud platforms that provide services for device management, data ingestion, storage, processing and analytics
- Security considerations and methods for IoT like authentication, authorization and encryption
- Programming tools and frameworks for developing applications and connecting
A high level perspective on 5G technologies and applications
While the design of 3G and 4G systems was mainly addressed to provide higher bitrates to mobile users, with 5G the perspective has been enlarged to a variety of application scenarios, including massive Internet of Things, Industry 4.0, Smart Cities, and so on. In this talk, we will make a journey in the 5G landscape, starting from the requirements of the new application domains, and then moving towards the technical solutions that have been proposed to satisfy such requirements. During this journey, we will touch upon concept like massive access, network densification, new radio, network virtualization and edge computing, each of which has basically open a new research trail. The roadblocks that still hinder the way to the full realization of the 5G vision will finally mark the end of our trip.
Semantics in Sensor Networks
Invited talk at the FIS2009 (Future Internet Symposium) Workshop on Semantics and Future Internet. September 1st, 2009
Ban Smart Card Mahasweta
The document discusses the potential for wireless body area networks (WBANs) and smart cards to impact health, social, and life sciences. It describes a 3-tier WBAN system for ubiquitous health monitoring and opportunities for computer-assisted rehabilitation and personalized healthcare. Key challenges include sensor size and power consumption, safety, security, and privacy. The document also outlines potential smart card applications for social networking and collaboration at conferences.
Solving the Really Big Tech Problems with IoT
The Briefing Room with Dr. Robin Bloor and HPE Security
The Internet of Things brings new technological problems: sensor communications are bi-directional, the scale of data generation points has no precedent and, in this new world, security, privacy and data protection need to go out to the edge. Likely, most of that data lands in Hadoop and Big Data platforms. With the need for rapid analytics never greater, companies try to seize opportunities in tighter time windows. Yet, cyber-threats are at an all-time high, targeting the most valuable of assets—the data.
Register for this episode of The Briefing Room to hear Analyst Dr. Robin Bloor explain the implications of today's divergent data forces. He’ll be briefed by Reiner Kappenberger of HPE, who will discuss how a recent innovation -- NiFi -- is revolutionizing the big data ecosystem. He’ll explain how this technology dramatically simplifies data flow design, enabling a new era of business-driven analysis, while also protecting sensitive data.
Discovering Things and Things’ data/services
This document discusses challenges and approaches for discovering data from internet-connected things (IoT). It notes that as the number of connected things grows, scaling discovery of their data and services will be important. Semantic models and metadata can help with indexing and querying distributed IoT data, but current solutions often have issues with centralization and scalability. Future work on discovery needs more distributed indexing approaches, efficient use of semantics and metadata, and techniques for data abstraction and knowledge extraction from large-scale IoT data.
Tiny Sensors, Big Data
This document discusses using wireless sensor networks and cloud platforms to extract meaningful information from sensor data. MicroStrain develops smart sensors and the SensorCloud platform for data storage, visualization, and analysis. SensorCloud allows users to easily access and process large volumes of sensor data in the cloud. Examples show how wireless sensors and cloud computing can be applied to asset health monitoring, smart infrastructure, and other industrial applications.
Key Open Standards for inter-operable IoT systems
This document discusses key requirements for interoperable IoT systems, including the need for open standards for data communication, web objects, device management, and web services. It outlines several relevant standards like CoAP, 6LoWPAN, and IPSO objects that enable interoperability. ARM's IoT solution is presented as enabling the design of future proof and scalable IoT systems through products that support these standards from the device to the cloud. Interoperability driven by standards is key to supporting continued innovation and growth in the IoT market.
Bigdata
This document discusses big data, including how much data is now being collected, challenges with traditional database management systems, and the need for new approaches like Hadoop and Aster Data. It provides details on characteristics of big data, architectural requirements, techniques for analysis, and solutions from companies like IBM, Teradata, and Aster Data. Hadoop is discussed in depth, covering how it works, the ecosystem, and example users. Aster Data is also summarized, focusing on its massively parallel SQL layer and in-database analytics capabilities.
IoT Standards & Ecosystem
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.
iot-component-dimensioning
Connectivity. Connectivity is a necessary component of any IoT development effort. ...
IoT Data Management. ...
Cloud Computing Services. ...
IoT Device Management. ...
Application Development. ...
Application Enablement. ...
Security by Design. ...
Connectivity Management.
Getting started with IoT
Get exclusive insights on IoT technology that has the potential to accelerate your business and give you the necessary agility to keep up with the pace of business. Join us and learn about the current and future state of the IoT landscape and what it takes to be successful in IoT. Gain insights from customer stories and discover how to get started building successful IoT solutions with Microsoft Azure.
Discover the webcast: https://bit.ly/2U1N8iI
In search of the perfect IoT Stack - Scalable IoT Architectures with MQTT
Web-scale Internet of Things applications have one thing in common: They produce and process massive amounts of data. But how to design the next-generation IoT backend that is able to meet the business requirements and doesn’t explode as soon as the traffic increases? This presentation will cover how to use MQTT to connect millions of devices with commodity servers and process huge amounts of data. Learn all the common design patterns and see the technologies that actually scale. Explore when to use Cassandra, Kafka, Spark, Docker, and other tools and when to stick with your good ol’ SQL database or Enterprise Message Queue.
Big Data Analytics from Edge to Core
We’re living in an era of digital disruption, where the accessibility and adoption of emerging digital technologies are enabling
enterprises to reimagine their businesses in exciting new ways. Data flows from the edge to the core to the cloud while
performing analytics and gaining actionable intelligence at all steps along the way. This connected, automated and data-driven
future enables organizations to rapidly acquire, analyze, and take action on real-time data as well as curate flows for additional
analysis at a later stage. New IoT use cases require enterprises to properly handle data in motion and create newer edge
applications with data flow management, stream processing and analytics while still being governed by existing enterprise
services.
This session highlights the importance of an edge-to-core-to-cloud digital infrastructure that can adapt to your flexing
business needs, capturing expanding data flows at the edge and aligning them to a core infrastructure that can drive insight.
Speakers
Bob Mumford, Hewlett Packard Enterprise, Big Data Solutions Architect
Sensors2015-Wireless Sensors Future of M2M
The document discusses the role of wireless sensors in machine-to-machine (M2M) technology and the Internet of Things (IoT). It explains that sensors act as the eyes and ears of IoT by allowing machines to communicate with people and each other. It also outlines some of the key components that must work together for wireless sensor networks to function properly, including sensors, data acquisition, wireless connectivity, storage, analytics and alerting. Finally, it discusses challenges like power consumption, wireless technologies, data storage and security that must be overcome for wireless sensor networks to be implemented successfully.
ISSA Boston - PCI and Beyond: A Cost Effective Approach to Data Protection
PCI and Beyond: A Cost Effective Approach to Data Protection, ISSA New England Chapter, Ulf Mattsson, Oct 20, 2009.
Internet of things (IoT) and big data- r.nabati
This document provides an introduction to Internet of Things (IoT) and Big Data Analytics. It discusses why IoT is an important and growing trend, defining IoT as connecting physical objects to the internet. It notes that billions of devices are expected to be connected by 2020. The document then discusses some key IoT technologies like communication standards, sensors, and embedded systems. It also outlines some common IoT applications and opportunities in areas like smart homes, healthcare, transportation and more. Finally, the document introduces some characteristics of big data, such as the scale, variety and velocity of data that is now being generated and needs to be analyzed.
Introduction à l'écosystème de l'Internet des Objets
The document discusses Internet of Things (IoT) technologies. It defines IoT as connecting physical objects to the internet and being able to identify, locate, track and trade information about them. It then examines various technologies used for IoT like QR codes, RFID, Bluetooth, wireless sensors, and mobile networks. It compares the technologies based on factors like power, information capacity, cost, and accuracy. Finally, it provides examples of potential IoT business applications in areas like smart metering, logistics tracking, and agriculture.
Similar to Making sense of IoT, M2M and Big Data (20)
A high level perspective on 5G technologies and applications
A high level perspective on 5G technologies and applications
In search of the perfect IoT Stack - Scalable IoT Architectures with MQTT
In search of the perfect IoT Stack - Scalable IoT Architectures with MQTT
ISSA Boston - PCI and Beyond: A Cost Effective Approach to Data Protection
ISSA Boston - PCI and Beyond: A Cost Effective Approach to Data Protection
Introduction à l'écosystème de l'Internet des Objets
Introduction à l'écosystème de l'Internet des Objets
Recently uploaded
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Fueling AI with Great Data with Airbyte Webinar
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.
Trusted Execution Environment for Decentralized Process Mining
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Choosing The Best AWS Service For Your Website + API.pptx
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!
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
dbms calicut university B. sc Cs 4th sem.pdf
Its a seminar ppt on database management system using sql
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Recently uploaded (20)
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Trusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process Mining
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Making sense of IoT, M2M and Big Data
- 1. Image Source: IEEE Spectrum
- 3. The IoT Architecture Information Value Loop Applications Analytics DataAggregation Networks Sensors M2M Big Data IoT
- 5. Sensors –The Eyes & Ears Cost of a Sensor µ-Processor Clock Speed Key Issues: Power Constraints Energy Harvest DataTransfer Event-driven Security Encryption, Bandwidth Interoperability Std. vs Prop. Small, Low Power, Low Memory Devices
- 6. Networks –The Lifeline Home Area Network (Bluetooth, 6LoPAN, ZigBee, WiFi) Neighborhood Area Network (WiFi-Mesh, Cellular) Wide Area Network (Fixed, Cellular WAN) Key Issues: Coverage Range, Reliability Capacity Uplink-biased, Protocol Overhead Security Authentication, Privacy MultipleAccess Last Grasp, Sleep Mode Addressing IPv6, Multicast/Broadcast Protocol s MQTT, COAP QoSVariability OFDM, DSCP Too Many Devices,Too ManyTypes
- 7. Data Processing –The Brian SQL/NoSQL Queries KeyTechniques: Distributed Storage (Hadoop HDFS) Parallel Processing (MAP-Reduce,Apache Pig/Hive/HBase) In-memory Processing (Apache Spark) Too Many,Too Much,Too Fast DATA BIG DATA
- 8. Analytics –The Mind Open-source AnalyticsTools Key Areas: Artificial Intelligence (AI) Machine Learning Deep Learning Complex Event Processing (CEP) Natural Language Processing (NPL) Making Sense of Data
- 9. Applications –The Life of IoT
- 10. Case Study – ConnectedVehicles Autopilot Smart Charging Solar Charging Vehicle to Grid
Editor's Notes
- 250M Connected Vehicles by 2020 27B M2M Connections by 2024
- Calls Call Record Mediation BI Offers More Calls
- May require more than one slide
- IP – 20/40 bytes UDP/TCP – 8/20 bytes
- Data extraction – extracts data from homogeneous or heterogeneous data sources Data transformation – transforms the data for storing it in the proper format or structure for the purposes of querying and analysis Data loading – loads it into the final target (database, more specifically, operational data store, data mart, or data warehouse)
- ** Prediction Possibilities not Guarantees Supervised Learning (Machine Learning) Detect faces, identify people in images, recognize facial expressions (angry, joyful) Identify objects in images (stop signs, pedestrians, lane markers…) Recognize gestures in video Detect voices, identify speakers, transcribe speech to text, recognize sentiment in voices Classify text as spam (in emails), or fraudulent (in insurance claims); recognize sentiment in text (happy, angry, customer feedback) Deep Learning – Unsupervised Learning Hardware breakdowns (data centers, manufacturing, transport) Health breakdowns (strokes, heart attacks based on vital stats and data from wearables) Customer churn (predicting the likelihood that a customer will leave, based on web activity and metadata) Employee turnover (ditto, but for employees)
- May require more than one slide