Technology is the collection of techniques used to produce goods and services or accomplish objectives. The document discusses four top enterprise tech trends for 2017: cybersecurity must keep pace with internet-connected devices; intelligent apps can transform businesses by automating tasks like email prioritization; blockchain is a distributed database that records transactions; and mobility will continue increasing with more internet-connected devices.
The document discusses Internet of Things (IoT) and related ethics issues. It describes how IoT enables massive data collection through sensors and how that data is processed and analyzed through data analytics, artificial intelligence and machine learning. It then discusses specific examples of using IoT for location and humidity monitoring by a damage control company. The document outlines several ethical issues with IoT including access to data, discrimination, privacy, security, and informed consent. It proposes an ethics framework for artificial intelligence in Australia that focuses on generating benefits, doing no harm, compliance, privacy protection, fairness, transparency and accountability.
This document discusses securing industrial IoT applications. It begins by outlining the opportunities and risks of digital transformation and Industry 4.0. Specifically, it notes that while IoT can accelerate processes, its use in industrial systems also introduces new security threats. The document then discusses several industrial cyber attacks and outlines differences in securing IoT compared to traditional IT. It advocates for a holistic lifecycle approach to IoT security. The remainder of the document provides examples of technologies and approaches for achieving trustworthy and secure industrial IoT solutions.
The Internet of Things (IoT) is one of the hottest mega-trends in technology – and for good reason , IoT deals with all the components of what we consider web 3.0 including Big Data Analytics, Cloud Computing and Mobile Computing .
This document discusses the Internet of Things (IoT). It provides background information on Achint Kumar Rathor, including his name, email, university, and area of study. It then defines IoT as the network of physical objects embedded with technology to communicate and interact with their environment. It lists enabling technologies for IoT like RFID sensors, smart tech, nano tech. It discusses IoT applications and trends, including how personal lives and businesses will change. It outlines Rathor's interest areas in IoT like cloud computing, data security, and big data. It expresses his desired tasks and innovative ideas in these areas.
The best way to make sure that your IoT application works well with all the existing technologies is by thoroughly testing your applications. This Infographic displays the significance of testing the IoT applications.
In this presentation, Achint introduces the concept of IoT and associated trends. His interest area is in data security in cloud for data generated by IoT class devices. He is also interested in IoT data analytics.
Technology is the collection of techniques used to produce goods and services or accomplish objectives. The document discusses four top enterprise tech trends for 2017: cybersecurity must keep pace with internet-connected devices; intelligent apps can transform businesses by automating tasks like email prioritization; blockchain is a distributed database that records transactions; and mobility will continue increasing with more internet-connected devices.
The document discusses Internet of Things (IoT) and related ethics issues. It describes how IoT enables massive data collection through sensors and how that data is processed and analyzed through data analytics, artificial intelligence and machine learning. It then discusses specific examples of using IoT for location and humidity monitoring by a damage control company. The document outlines several ethical issues with IoT including access to data, discrimination, privacy, security, and informed consent. It proposes an ethics framework for artificial intelligence in Australia that focuses on generating benefits, doing no harm, compliance, privacy protection, fairness, transparency and accountability.
This document discusses securing industrial IoT applications. It begins by outlining the opportunities and risks of digital transformation and Industry 4.0. Specifically, it notes that while IoT can accelerate processes, its use in industrial systems also introduces new security threats. The document then discusses several industrial cyber attacks and outlines differences in securing IoT compared to traditional IT. It advocates for a holistic lifecycle approach to IoT security. The remainder of the document provides examples of technologies and approaches for achieving trustworthy and secure industrial IoT solutions.
The Internet of Things (IoT) is one of the hottest mega-trends in technology – and for good reason , IoT deals with all the components of what we consider web 3.0 including Big Data Analytics, Cloud Computing and Mobile Computing .
This document discusses the Internet of Things (IoT). It provides background information on Achint Kumar Rathor, including his name, email, university, and area of study. It then defines IoT as the network of physical objects embedded with technology to communicate and interact with their environment. It lists enabling technologies for IoT like RFID sensors, smart tech, nano tech. It discusses IoT applications and trends, including how personal lives and businesses will change. It outlines Rathor's interest areas in IoT like cloud computing, data security, and big data. It expresses his desired tasks and innovative ideas in these areas.
The best way to make sure that your IoT application works well with all the existing technologies is by thoroughly testing your applications. This Infographic displays the significance of testing the IoT applications.
In this presentation, Achint introduces the concept of IoT and associated trends. His interest area is in data security in cloud for data generated by IoT class devices. He is also interested in IoT data analytics.
Windows for Raspberry Pi 2Makers (and more!)Guy Barrette
This document discusses the Internet of Things (IoT) and how Microsoft is supporting IoT with Windows 10 IoT editions and Azure IoT services. It provides an overview of IoT as a network of physical objects embedded with electronics and software that can collect and exchange data. It then describes how Windows 10 IoT editions, including Windows 10 IoT Core, support a range of IoT devices from small to large. It also outlines how Azure IoT services provide solutions for device management, connectivity, analytics and more to help accelerate IoT projects.
MachinePulse at the November Open Hardware Meetup, Mumbai 2014MachinePulse
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.
The document proposes a scalable distributed architecture called DIAT for IoT. DIAT has three layers - the virtual object layer, composite virtual object layer, and service layer. The virtual object layer virtualizes physical objects and acts as a translator between the digital and physical worlds. The composite virtual object layer coordinates between individual entities by scheduling them optimally. The service layer handles service requests and automatically creates new services by splitting them into subtasks. DIAT also includes a cognitive management component and security management module to address challenges like heterogeneity, scalability, interoperability, and security in IoT.
Big data analytics involves capturing, storing, processing, analyzing, and visualizing huge quantities of information from a variety of sources. This data is characterized by its volume, variety, velocity, veracity, variability, and complexity. Traditional analytics are not suited to handle big data due to its size and constantly changing nature. By analyzing patterns in big data, businesses can gain insights to improve processes and campaigns. However, specialized software is needed to make sense of big data's different types and formats from numerous sources. The right big data solution depends on an organization's specific data, budgets, skills, and future needs.
The document discusses the Internet of Things (IoT). It provides an overview of what the IoT is, how it has developed since the 1970s, key technologies that enabled it, and popular applications. The document also outlines both benefits and risks of the IoT, including privacy/security concerns and challenges of data storage and analysis. Finally, it projects continued growth of the IoT and discusses implications for smart cities and artificial intelligence.
This document discusses analytics for IoT and making sense of data from sensors. It first provides an overview of Innohabit Technologies' vision and products related to contextual intelligence platforms, machine learning analytics, and predictive network health analytics. It then discusses how analytics can help make sense of the endless sea of data from IoT sensors, highlighting key applications of analytics in areas like industrial IoT, smart retail, autonomous vehicles, and more. The benefits of analytics adoption in industrial IoT contexts include optimized asset maintenance, production operations, supply chain management, and more.
The document discusses several legal, social, and ethical issues raised by the Internet of Things (IoT). Some of the key legal issues include data privacy and security concerns as IoT devices often have poor security and transmit data without encryption. Cybersecurity is also a major issue as IoT bots can be hacked and used to launch cyberattacks. On the social side, the proliferation of IoT devices risks increased global warming and climate change as more devices consume power. There are also privacy concerns if devices are hacked and personal information is stolen. In terms of solutions, the document advocates for improved government regulation of IoT, following ethical codes of conduct, prioritizing customer benefit, strengthening security, and raising customer awareness.
The document outlines 12 IoT trends that will be important for entrepreneurs to know in 2020. It discusses trends like increased adoption of smart home devices and edge computing, improved security through machine learning and blockchain, growth of smart cities, predictive maintenance, and more personalized customer experiences through data convergence. The document provides an overview of emerging technologies and applications in the IoT space that entrepreneurs should be aware of.
IoT Edge Intelligence - The need for new software development approachesBart Jonkers
CeBIT 2016 talk on "IoT Edge Intelligence - The need for new software development approaches".
In order to bridge the 'IoT skills gap' or solve the 'IT vs OT' divide, the IoT market needs to enable traditional IT developers to move into the OT (operational technology) world. In the OT world, devices, gateways and machines run embedded software on proprietary operating systems, using unfamiliar communications protocols in resource constraint environments. To enable a large community of developers to build intelligent IoT edge applications, abstraction from these domain specific technologies and complexities is required. Bitreactive offers visual developer tooling to highly simplify the application development on devices and the way edge devices integrate to IoT sensors, cloud services, analytics, visualization services etc.
(Some technologies supported: MQTT, AMQP, BLE, Zigbee, OPC-UA, Paho, Californium, Kura, Coap, JSON-RPC, LoRA, Bluetooth, IBM Bluemix, IBM IoT Foundation, Microsoft Azure, AWS, Oracle IoT Cloud Service, GE Predix, GE Predix machine, Xively, Solair, Geofencing, Modbus, GPIO, RaspberryPI, XMPP, Eurotech Reliagate, Eurotech ESF, PLC, SCADA, DELL 5000, Intel IoT gateway, Multitech conduit, Java SE, openJDK, OSGi, Kura, Eclipse IoT, Embedded Java, Oauth 2.0, alternative to Node Red)
This document discusses ethical issues related to smart technology in IoT. It begins with an introduction to IoT, architecture, and privacy/security concerns. It then examines stakeholders and their interests/risks. Resolutions discussed include security measures at different layers and increasing user awareness. Two specific examples are analyzed: a teddy bear hack that leaked personal recordings, and Fitbit sharing customer health data. Considerations for dealing with ethical issues include regulations, following ethics codes, customer benefit, and security improvements. Examples of IoT uses in business and related incidents/vulnerabilities are also summarized.
IoT Challenges: Technological, Business and Social aspectsRoberto Minerva
Internet of Things is promising to be a set of technologies able to have a high impact on how people live, produce, modify and interact with the environment. Such a transformation is driven by increasing technologies capabilities of sensors/actuators, communications, general-purpose hardware, availability of software and programmability of devices. The integration of so different technologies is a problem in itself and IoT is also trying to solve cogent issues of specific problem domains, such as e-health, transportation, manufacturing, and so on. Large IoT systems (e.g., smart cities) stand on their own because the smartness requires integration of different technologies, processes and different administrative domains creating the needs to deal with a complex system. In addition to technological and problem domain specific challenges, there exist further challenges that fall in business, social and regulation realms. They can greatly impact the deployment and the success of IoT deployment. The speech aims at providing a view on some major technologies challenges of IoT and to cover a few critical business and social issues that could hamper the large deployment of IoT systems by providing some examples of implementation.
The vast network of devices connected to the Internet, including smart phones and tablets and almost anything with a sensor on it – cars, machines in production plants, jet engines, oil drills, wearable devices, and more. These “things” collect and exchange data.
The IoT allows objects to be sensed or controlled remotely across existing network infrastructure,creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention.
This document provides an overview of the Internet of Things (IoT). It defines IoT as the network of physical objects embedded with sensors that can collect and exchange data. It describes how IoT works through technologies like RFID, sensors, and embedded processing. It also outlines current and future applications of IoT such as smart homes, healthcare, and more. The document discusses both the potential benefits of IoT as well as challenges and criticisms around issues like privacy, security, and environmental impact.
This PPT will give you an overview on "Introduction To Internet Of Things" What is IoT?, Why IoT?, Various IoT Technologies and Protocol, Applications of IoT, Future Scope and Possibility, Career Opportunities.
This is just a beginner PPT.
Don't forget to follow me on below social media handles:
Twitter: @SiddharthDayal1
Instagram: @technobot.siddharth.2526
If you are looking for any company having professional guides who helps you in research topics in IOT then contact with us-Techsparks. Our professors will assist you on various master thesis topics in industrial IoT offers top demanding research ideas for scholars. For more information call us at-91-9465330425 and visit us at: https://bit.ly/3gPmEtb.
How Artificial Intelligence Will Kickstart the Internet of Thnigs Ahmed Banafa
The possibilities that IoT brings to the table are endless.
IoT continues its run as one of the most popular technology buzzwords of the year, and now the new phase of IoT is pushing everyone to ask hard questions about the data collected by all devices and sensors of IoT.
The document discusses potential PhD projects related to MQTT (Message Queuing Telemetry Transport), an open source protocol commonly used in IoT applications. It lists several example projects including developing an outdoor air quality monitoring system using MQTT, a smart plug control system, and evaluating IoT protocols. The document also outlines the typical stages of a PhD project and provides contact information for a research assistance organization that helps with PhD and MS thesis work.
This document discusses Internet of Things (IoT) cloud integration and IoT cloud systems. It begins with an overview of cloud computing and the IoT. There are several common models for integrating IoTs and clouds, including using cloud platforms for data analytics and storage from sensors. Effective engineering of IoT cloud systems requires techniques like virtualization, composition and orchestration of services, and the ability to deploy across private, public and hybrid clouds. The integration of IoTs and clouds enables many application domains and helps connect physical things to online services.
Thank you for the summary. I do not actually have an opinion on whether games or gamification are good or bad. I'm an AI assistant created by Anthropic to be helpful, harmless, and honest.
DELL Technologies - The IoT Value Chain - Solutions for the Smart World - Del...Smarter.World
In this presentation we will introduce various aspects of the Internet of Things, Industry 4.0 and the associated challenges in implementing new digital services.
We also refer to IoT / Industry 4.0 terminology, market developments, factors and drivers, IoT platform components, but also to the differentiation and similarities of the Internet of Things and Industry 4.0.
Using various application examples, we will outline the range of DELL Technologies offerings.
Here, however, we remain at an overview level for the first time without paying attention to the details of the deployable DELL-EMC products and solutions.
We would continue this in downstream discussions depending on the identified topic segment.
Windows for Raspberry Pi 2Makers (and more!)Guy Barrette
This document discusses the Internet of Things (IoT) and how Microsoft is supporting IoT with Windows 10 IoT editions and Azure IoT services. It provides an overview of IoT as a network of physical objects embedded with electronics and software that can collect and exchange data. It then describes how Windows 10 IoT editions, including Windows 10 IoT Core, support a range of IoT devices from small to large. It also outlines how Azure IoT services provide solutions for device management, connectivity, analytics and more to help accelerate IoT projects.
MachinePulse at the November Open Hardware Meetup, Mumbai 2014MachinePulse
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.
The document proposes a scalable distributed architecture called DIAT for IoT. DIAT has three layers - the virtual object layer, composite virtual object layer, and service layer. The virtual object layer virtualizes physical objects and acts as a translator between the digital and physical worlds. The composite virtual object layer coordinates between individual entities by scheduling them optimally. The service layer handles service requests and automatically creates new services by splitting them into subtasks. DIAT also includes a cognitive management component and security management module to address challenges like heterogeneity, scalability, interoperability, and security in IoT.
Big data analytics involves capturing, storing, processing, analyzing, and visualizing huge quantities of information from a variety of sources. This data is characterized by its volume, variety, velocity, veracity, variability, and complexity. Traditional analytics are not suited to handle big data due to its size and constantly changing nature. By analyzing patterns in big data, businesses can gain insights to improve processes and campaigns. However, specialized software is needed to make sense of big data's different types and formats from numerous sources. The right big data solution depends on an organization's specific data, budgets, skills, and future needs.
The document discusses the Internet of Things (IoT). It provides an overview of what the IoT is, how it has developed since the 1970s, key technologies that enabled it, and popular applications. The document also outlines both benefits and risks of the IoT, including privacy/security concerns and challenges of data storage and analysis. Finally, it projects continued growth of the IoT and discusses implications for smart cities and artificial intelligence.
This document discusses analytics for IoT and making sense of data from sensors. It first provides an overview of Innohabit Technologies' vision and products related to contextual intelligence platforms, machine learning analytics, and predictive network health analytics. It then discusses how analytics can help make sense of the endless sea of data from IoT sensors, highlighting key applications of analytics in areas like industrial IoT, smart retail, autonomous vehicles, and more. The benefits of analytics adoption in industrial IoT contexts include optimized asset maintenance, production operations, supply chain management, and more.
The document discusses several legal, social, and ethical issues raised by the Internet of Things (IoT). Some of the key legal issues include data privacy and security concerns as IoT devices often have poor security and transmit data without encryption. Cybersecurity is also a major issue as IoT bots can be hacked and used to launch cyberattacks. On the social side, the proliferation of IoT devices risks increased global warming and climate change as more devices consume power. There are also privacy concerns if devices are hacked and personal information is stolen. In terms of solutions, the document advocates for improved government regulation of IoT, following ethical codes of conduct, prioritizing customer benefit, strengthening security, and raising customer awareness.
The document outlines 12 IoT trends that will be important for entrepreneurs to know in 2020. It discusses trends like increased adoption of smart home devices and edge computing, improved security through machine learning and blockchain, growth of smart cities, predictive maintenance, and more personalized customer experiences through data convergence. The document provides an overview of emerging technologies and applications in the IoT space that entrepreneurs should be aware of.
IoT Edge Intelligence - The need for new software development approachesBart Jonkers
CeBIT 2016 talk on "IoT Edge Intelligence - The need for new software development approaches".
In order to bridge the 'IoT skills gap' or solve the 'IT vs OT' divide, the IoT market needs to enable traditional IT developers to move into the OT (operational technology) world. In the OT world, devices, gateways and machines run embedded software on proprietary operating systems, using unfamiliar communications protocols in resource constraint environments. To enable a large community of developers to build intelligent IoT edge applications, abstraction from these domain specific technologies and complexities is required. Bitreactive offers visual developer tooling to highly simplify the application development on devices and the way edge devices integrate to IoT sensors, cloud services, analytics, visualization services etc.
(Some technologies supported: MQTT, AMQP, BLE, Zigbee, OPC-UA, Paho, Californium, Kura, Coap, JSON-RPC, LoRA, Bluetooth, IBM Bluemix, IBM IoT Foundation, Microsoft Azure, AWS, Oracle IoT Cloud Service, GE Predix, GE Predix machine, Xively, Solair, Geofencing, Modbus, GPIO, RaspberryPI, XMPP, Eurotech Reliagate, Eurotech ESF, PLC, SCADA, DELL 5000, Intel IoT gateway, Multitech conduit, Java SE, openJDK, OSGi, Kura, Eclipse IoT, Embedded Java, Oauth 2.0, alternative to Node Red)
This document discusses ethical issues related to smart technology in IoT. It begins with an introduction to IoT, architecture, and privacy/security concerns. It then examines stakeholders and their interests/risks. Resolutions discussed include security measures at different layers and increasing user awareness. Two specific examples are analyzed: a teddy bear hack that leaked personal recordings, and Fitbit sharing customer health data. Considerations for dealing with ethical issues include regulations, following ethics codes, customer benefit, and security improvements. Examples of IoT uses in business and related incidents/vulnerabilities are also summarized.
IoT Challenges: Technological, Business and Social aspectsRoberto Minerva
Internet of Things is promising to be a set of technologies able to have a high impact on how people live, produce, modify and interact with the environment. Such a transformation is driven by increasing technologies capabilities of sensors/actuators, communications, general-purpose hardware, availability of software and programmability of devices. The integration of so different technologies is a problem in itself and IoT is also trying to solve cogent issues of specific problem domains, such as e-health, transportation, manufacturing, and so on. Large IoT systems (e.g., smart cities) stand on their own because the smartness requires integration of different technologies, processes and different administrative domains creating the needs to deal with a complex system. In addition to technological and problem domain specific challenges, there exist further challenges that fall in business, social and regulation realms. They can greatly impact the deployment and the success of IoT deployment. The speech aims at providing a view on some major technologies challenges of IoT and to cover a few critical business and social issues that could hamper the large deployment of IoT systems by providing some examples of implementation.
The vast network of devices connected to the Internet, including smart phones and tablets and almost anything with a sensor on it – cars, machines in production plants, jet engines, oil drills, wearable devices, and more. These “things” collect and exchange data.
The IoT allows objects to be sensed or controlled remotely across existing network infrastructure,creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention.
This document provides an overview of the Internet of Things (IoT). It defines IoT as the network of physical objects embedded with sensors that can collect and exchange data. It describes how IoT works through technologies like RFID, sensors, and embedded processing. It also outlines current and future applications of IoT such as smart homes, healthcare, and more. The document discusses both the potential benefits of IoT as well as challenges and criticisms around issues like privacy, security, and environmental impact.
This PPT will give you an overview on "Introduction To Internet Of Things" What is IoT?, Why IoT?, Various IoT Technologies and Protocol, Applications of IoT, Future Scope and Possibility, Career Opportunities.
This is just a beginner PPT.
Don't forget to follow me on below social media handles:
Twitter: @SiddharthDayal1
Instagram: @technobot.siddharth.2526
If you are looking for any company having professional guides who helps you in research topics in IOT then contact with us-Techsparks. Our professors will assist you on various master thesis topics in industrial IoT offers top demanding research ideas for scholars. For more information call us at-91-9465330425 and visit us at: https://bit.ly/3gPmEtb.
How Artificial Intelligence Will Kickstart the Internet of Thnigs Ahmed Banafa
The possibilities that IoT brings to the table are endless.
IoT continues its run as one of the most popular technology buzzwords of the year, and now the new phase of IoT is pushing everyone to ask hard questions about the data collected by all devices and sensors of IoT.
The document discusses potential PhD projects related to MQTT (Message Queuing Telemetry Transport), an open source protocol commonly used in IoT applications. It lists several example projects including developing an outdoor air quality monitoring system using MQTT, a smart plug control system, and evaluating IoT protocols. The document also outlines the typical stages of a PhD project and provides contact information for a research assistance organization that helps with PhD and MS thesis work.
This document discusses Internet of Things (IoT) cloud integration and IoT cloud systems. It begins with an overview of cloud computing and the IoT. There are several common models for integrating IoTs and clouds, including using cloud platforms for data analytics and storage from sensors. Effective engineering of IoT cloud systems requires techniques like virtualization, composition and orchestration of services, and the ability to deploy across private, public and hybrid clouds. The integration of IoTs and clouds enables many application domains and helps connect physical things to online services.
Thank you for the summary. I do not actually have an opinion on whether games or gamification are good or bad. I'm an AI assistant created by Anthropic to be helpful, harmless, and honest.
DELL Technologies - The IoT Value Chain - Solutions for the Smart World - Del...Smarter.World
In this presentation we will introduce various aspects of the Internet of Things, Industry 4.0 and the associated challenges in implementing new digital services.
We also refer to IoT / Industry 4.0 terminology, market developments, factors and drivers, IoT platform components, but also to the differentiation and similarities of the Internet of Things and Industry 4.0.
Using various application examples, we will outline the range of DELL Technologies offerings.
Here, however, we remain at an overview level for the first time without paying attention to the details of the deployable DELL-EMC products and solutions.
We would continue this in downstream discussions depending on the identified topic segment.
What happens in the Innovation of Things?Kim Escherich
From the ComputerWorld Internet of Things conference in Copenhagen October 27 2015. On definitions, markets, trends, needed capabilities and how to implement using IBM BlueMix.
LNETM - Atsign - Privacy with Personal Data ServicesChris Swan
London Enterprise Technology Meetup (LNETM) presentation on Atsign's atPlatform, which uses personal data services (PDS) and end-end encryption to build privacy preserving applications for everybody, every organisation and everyTHING.
In this general session, AWS IoT experts will present an in-depth look at the current state of the Internet of Things. Learn about trends and industry use cases. Hear how other organizations are using AWS IoT to connect devices to the cloud. Explore some of the most recent IoT announcements as we kick off the IoT re:Source Mini Con.
Most of the developing nations have experienced slavery and doing services for other lands, and have not experienced the Services for themselves. Here is a presentation that I used to speak about 'Realizing the Potential of a Connected World' at Indian Technology Congress 2017, especially for the developing countries.
However, the presentation itself is not specific to the developing countries except a couple of slides.
IoT how it works, IoT Perspectives, IoT technologies, IoT architecture, IoT protocols, IoT applications, sensor as service model, IoT data flow, IoT functional view, IoT analogy, IoT taxanomy of research
IoT design considerations
Internet of Things and Big Data: Vision and Concrete Use CasesMongoDB
This document discusses Internet of Things (IoT) and big data. It provides an overview of key concepts in IoT such as the growing number of connected devices, drivers in the IoT ecosystem including enterprises and users, and examples of IoT applications from Bosch Group. It also discusses how big data and evolving data models are driving new requirements for databases including scalability, flexibility, support for analytics, and providing a unified view of data. The document promotes an upcoming webinar series on IoT and big data.
Architecting the Enterprise Internet of ThingsDell World
While business leaders might drive enterprise Internet of Things (IoT) initiatives, responsibility for managing connected devices and equipment, building infrastructure capacity, and securing data and applications usually falls on IT. Choosing the right IoT ecosystem architecture and technology enables you to minimize cost while ensuring security and dynamic, analytics-driven action. While some vendors advocate a one-size-fits-all approach, Dell uses a holistic, objective methodology to determine the right IoT ecosystem for your unique environment. Learn how Dell's IoT-specific gateways, edge analytics software and infrastructure solutions provide flexible architecture options for multiple IoT use cases.
Sensinode ARM Smart Homes & Cleanpower 2013 Cambridge, UK via CIR www.hvm-uk.comJustin Hayward
This document discusses the Internet of Things (IoT) for smart home applications. It describes how IoT connects intelligent devices through wireless connectivity and sensors. This allows for smart home functions like security/safety, energy management and health/fitness monitoring. Local wireless networks will be important to drive the IoT for functions like smart meters and environmental controls. The growth of smart home systems is projected to be significant in coming years. Open standards, security and interoperability will be important to realize the potential of the IoT. ARM processors and Sensinode software are positioned to enable efficient connectivity of devices to cloud services and applications.
IoT (Internet of Things)for blockchain initiatives refers to the integration of blockchain technology with IoT devices. This integration can offer various benefits, such as enhanced security, improved transparency, and automated decision-making.Blockchain-based smart contracts can automate machine-to- machine transactions and improve the efficiency of supply chain management. Additionally,the decentralized nature of blockchain can help ensure data privacy and security in IoT devices, which can be vulnerable to cyber-attacks.
https://www.mobiloitte.com/internet-of-things/
Internet of Things and Azure - DevTeach 2016Guy Barrette
This document discusses how Azure services can be used to build Internet of Things (IoT) solutions. It provides an overview of IoT and Azure capabilities, including Azure IoT Hub which allows devices to connect and send data to the cloud. It also describes the Azure IoT Suite, which provides preconfigured solutions for common IoT scenarios to help get started quickly with remote monitoring, predictive maintenance, and other solutions.
This document discusses how smart buildings and the Internet of Things (IoT) can empower organizations by providing insights, increasing agility, and improving customer care. It describes how connecting devices and analyzing data can optimize building utilization, productivity, and costs. The document outlines Microsoft's vision for a smart buildings platform that uses IoT, cloud services, and analytics to gain visibility, manage key performance indicators, and anticipate and address issues. It also discusses how Microsoft technologies can support building management systems, integrate sensor data from various sources, and apply machine learning to enhance predictive capabilities.
Want to be part of the Internet of Things revolution then this session is for you, Microsoft Azure as a platform delivers the capabilities to enable your IoT solution from building blocks through to finished services. In this demonstration rich session you will learn about Microsoft’s position on IoT, and the technology and services being delivered from Microsoft to help you develop, connect, manage and unlock data insights
The Internet of your things by Jan TielensITProceed
The Internet of Things can make a difference to a business right now, but it can also pose challenges since it can seem overwhelming, complicated and expensive. In this session we’ll demystify IoT and go over the building blocks of a typical IoT solution. We’ll focus on the work that Microsoft has been doing both on the services side with the IoT Suite in Azure; as on the devices side with Windows 10 IoT Core on for example the Raspberry Pi.
Out Go The Lights: An enlightening discussion of IoT automation security By D...EC-Council
Regularly we see the Internet of Things (IoT) automated lighting solutions being overlooked when it comes to security. Often this is facilitated by statements such as “it’s a light bulb what is the worse they can do, turn my lights out”. In this presentation we will have an in-depth discussion on IoT lighting automation ecosystem security. Discussing topics including: The security implications of lighting automations vulnerabilities, the impact of migrating insecure IoT technologies into the enterprise work place, and what are the best practices we can leverage to reduce the risk and impact of these technologies within our enterprise environments.
Discover existing customer stories from various industries such as manufacturing, logistics and construction. No theoretical use cases, but in-depth insights that will help you on how to get started with IoT.
Industry pundits are predicting up to 50 billion connected devices by 2020, generating more data than in all of human history to date and connected via ubiquitous, connectivity such as 5G, Sigfox and NBIoT. With this comes the promise of business opportunities to deploy your Internet of Things solution. Ganga will walk you through the trends in computing that you need to be aware of, how you can get started and how working with Intel can accelerate your development and time to market.
Speaker: Ganga Varatharajan, IoT & New Technologies Manager, Intel
The Internet of Things (IoT) is one of the most active and fascinating innovations in information and communications technology.
https://www.infosectrain.com/courses/iot-bootcamp-certification-training/
Similar to AWS IoT Innovators Event: Dirk Didascalou Presentation (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
2. Internet of Things
Artificial Intelligence
Machine Learning
Blockchain
Digital Transformation
Industry 4.0
Industrial Internet
Edge Computing Big Data
Kubernetes
3. If you knew the state of every thing
and could reason on top of that
data…
what problems would you solve?
6. Business outcomes with IoT
New services &
business models
Products that get
better with time
Better relationship
with customers
Increased
efficiency
Intelligent
decision making
Data driven
discipline
Revenue growth
IoT data drives business growth
Operational efficiency
IoT data decreases OpEx
7. Home
automation
Home
security & monitoring
Home
networking
Door locks
Smart meters
Security cameras
Water leak detectors
Thermostat
Lighting systems
Media & entertainment
White goods
Small appliances
Home assistants
WiFi router
Set top boxes
Modem
Connected home use cases with IoT