Cloud computing provides centralized computing resources via the internet while edge computing distributes some computing capabilities to local endpoints. As technologies like IoT and 5G emerge, edge computing is growing in importance to support applications requiring low latency. Edge computing complements cloud computing by handling data and tasks locally when immediate response times are needed, while still utilizing cloud infrastructure for storage and analytics. Both cloud and edge computing are key to enabling technologies like smart cities that generate large amounts of data from distributed devices.
IoT Architecture - are traditional architectures good enough?Guido Schmutz
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Talk at the Etherreum Developper Conference. Presents our approach to build a fully decentralized Cloud Infrastructure based on the Ethereum blockchain and Desktop Grid middleware.
Bhadale group of companies edge intelligence services catalogueVijayananda Mohire
This is our offering for the edge computing and edge intelligence using IoT devices, frameworks and related technologies to bring in better intelligence at the edge
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.
Meet with Watson to be present at Communitech waterlooSarmad Ibrahim
IBM Bluemix is a platform for building, running, and managing applications on the cloud or on-premises. It offers flexible compute options including virtual servers, containers, and runtimes. Developers can choose between public, dedicated, or local deployment options. Bluemix provides a catalog of cognitive and other services including Watson that can extend app functionality. It offers tools for DevOps and the ability to build and manage custom apps and services.
Cisco ucs overview ibm team 2014 v.2 - handoutSarmad Ibrahim
The document discusses Cisco's Unified Computing System (UCS) which automates IT processes to support any workload in minutes with lower infrastructure costs. UCS provides unified management, intelligent infrastructure, and unified fabric for superior price/performance. It has benefits beyond efficiency such as more effective IT. UCS has become the fastest growing product in the server market with over 3,850 unique customers and 95% of Fortune 500 companies investing in UCS.
Cloud computing stores and processes data in remote data centers that can be accessed from any device while edge computing processes data locally or at nearby edge data centers to minimize latency. Edge computing provides faster speeds, lower costs, better security and reliability than cloud computing as it keeps sensitive data localized rather than in remote data centers, though cloud computing remains suitable for massive data storage needs. Both cloud and edge computing have roles to play as companies seek distributed computing solutions.
Cloud computing provides centralized computing resources via the internet while edge computing distributes some computing capabilities to local endpoints. As technologies like IoT and 5G emerge, edge computing is growing in importance to support applications requiring low latency. Edge computing complements cloud computing by handling data and tasks locally when immediate response times are needed, while still utilizing cloud infrastructure for storage and analytics. Both cloud and edge computing are key to enabling technologies like smart cities that generate large amounts of data from distributed devices.
IoT Architecture - are traditional architectures good enough?Guido Schmutz
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Talk at the Etherreum Developper Conference. Presents our approach to build a fully decentralized Cloud Infrastructure based on the Ethereum blockchain and Desktop Grid middleware.
Bhadale group of companies edge intelligence services catalogueVijayananda Mohire
This is our offering for the edge computing and edge intelligence using IoT devices, frameworks and related technologies to bring in better intelligence at the edge
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.
Meet with Watson to be present at Communitech waterlooSarmad Ibrahim
IBM Bluemix is a platform for building, running, and managing applications on the cloud or on-premises. It offers flexible compute options including virtual servers, containers, and runtimes. Developers can choose between public, dedicated, or local deployment options. Bluemix provides a catalog of cognitive and other services including Watson that can extend app functionality. It offers tools for DevOps and the ability to build and manage custom apps and services.
Cisco ucs overview ibm team 2014 v.2 - handoutSarmad Ibrahim
The document discusses Cisco's Unified Computing System (UCS) which automates IT processes to support any workload in minutes with lower infrastructure costs. UCS provides unified management, intelligent infrastructure, and unified fabric for superior price/performance. It has benefits beyond efficiency such as more effective IT. UCS has become the fastest growing product in the server market with over 3,850 unique customers and 95% of Fortune 500 companies investing in UCS.
Cloud computing stores and processes data in remote data centers that can be accessed from any device while edge computing processes data locally or at nearby edge data centers to minimize latency. Edge computing provides faster speeds, lower costs, better security and reliability than cloud computing as it keeps sensitive data localized rather than in remote data centers, though cloud computing remains suitable for massive data storage needs. Both cloud and edge computing have roles to play as companies seek distributed computing solutions.
Are you ready for IoT disruption? by Ana SeliškarBosnia Agile
The document discusses the Internet of Things (IoT) and how Cisco's IoT System addresses the major components of IoT including connectivity, security, analytics, management and automation. It provides an overview of Cisco's portfolio for IoT which includes purpose-built network devices, fog computing infrastructure, security from the cloud to edge devices, analytics tools, and software for digital transformation. Cisco's goal is to enable innovation across a broad ecosystem of technology partners and industries through an integrated IoT platform.
Architectural Patterns in IoT Cloud PlatformsRoshan Kulkarni
IoT PaaS platforms help accelerate the delivery of IoT solutions. This deck outlines the various architectural patterns in IoT Cloud Platforms - A useful checklist to ascertain your own IoT Solution Architecture.
Guide to IoT Projects and Architecture with Microsoft Cloud and AzureBarnaba Accardi
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.
Device to Intelligence, IOT and Big Data in OracleJunSeok Seo
The document discusses Internet of Things (IoT) and big data in the context of Oracle technologies. It provides examples of how Oracle solutions have helped companies in various industries like transportation, healthcare, manufacturing, and telecommunications manage IoT and big data. Specifically, it highlights how Oracle technologies allow for efficient processing, analysis and management of large volumes of data from IoT devices and sensor networks in real-time.
The document discusses interoperability on the Internet of Things. It describes a project to break down vertical silos in M2M systems by implementing open standards like HyperCat that make APIs and services machine-discoverable. This allows applications to work across different services without custom integration. The document also outlines ongoing work by 1248 including the Geras IoT data streaming and storage platform that uses the SenML format and supports MQTT, HTTP, and metadata search.
A Presentation about Next Generation Infrastructure for Internet of Thing from Mr Sutedjo Tjahjadi, Datacomm Cloud Business Managing Director in Politeknik Negeri Semarang, September 18th, 2016
This document introduces Microsoft Azure IoT services and patterns for building Internet of Things (IoT) solutions. It describes the key components of an IoT product including sensors, communication methods, devices, device management, and data processing. It outlines how Azure IoT Hub, IoT Suite, gateways, and other services can be used to ingest sensor data, apply machine learning, store and analyze data, and send commands to devices. An example scenario of a simulated car device is provided. The document encourages leveraging Azure's breadth of platform as a service offerings to build transformative IoT applications.
This document discusses interoperability and RTI's experience with facilitating interoperability between complex distributed systems. It describes RTI's work on over 800 projects across various industries involving 15+ standards efforts. RTI promotes using data-centric middleware like DDS to allow systems built with different technologies, platforms and vendors to easily share information through a common data model and quality of service controls. The document argues this approach improves integration, flexibility and future-proofing for systems compared to traditional methods.
Top 10 tredning technologies to learn in 2021Lokesh Agarwal
In this world of digitalization, technologies are expanding rapidly. As the world foremost tech news contributor, it is the duty of us to keep everyone updated with the newest trends of the top 10 trending technologies in 2021. Technology and programming language are so important in day to day lifestyle to make the livelihood more facile. These computer scientists and professionals are regularly making the bests out of anything. Technology has taken a face of more productiveness and give the best to the nation. In the present scenario, everything is done through the technical process, you don’t have to bother about doing work, everything will be done automatically. In this article, some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top 10 trending technologies in2021 and its impression in the coming future.
Embedded systems are becoming interconnected and accessible via the internet. Gartner Group estimates there will be nearly 26 billion devices that make up the Internet of Things by 2020. This results in a massive variety of connected devices with varying security, reliability, and authentication requirements. Cost sensitivity also figures into the equation. This mix of requirements and costs require IoT developers to identify sensor, processor, and software solutions that address the requirements and hit required price points. Join us as IoT solution experts discuss sensors, connectivity, processors, platforms, and software for IoT applications and overview applications of IoT in various markets.
Watch for free on-demand http://ecast.opensystemsmedia.com/511
1. The document discusses AIoT and edge computing.
2. It introduces Microsoft's Azure IoT platform and services for connecting, processing, analyzing and acting on IoT data.
3. Edge computing with Azure IoT Edge is described which analyzes data locally on IoT devices to reduce latency and cloud requirements.
Unified Analytics in GE’s Predix for the IIoT: Tying Operational Technology t...Altoros
Learn how to achieve holistic operational visibility into IIoT business environments by correlating the data from Operational Technology and IT, and organizing it as a single pane of glass in accordance with business processes.
Originally presented on April 11, 2017
Watch on-demand: https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&referrer=&eventid=1383298&sessionid=1&key=96B34B2E00F5FAA33C2957FE29D84624®Tag=&sourcepage=register
Why integration is key in IoT solutions? (Sam Vanhoutte @Integrate2017)Codit
While working on several Internet of Things projects with different customers in Europe, it became clear that Integration matters more than ever. Building an overall IoT solution requires many different technologies and skills. The Architect role is crucial to combining different services into one solid solution. Integration skills are extremely important in building robust and scalable IoT solutions. Every phase of the IoT value chain requires integration, since IoT solutions are distributed and decoupled by nature. Retro-fitting existing devices? Routing of telemetry data? Or even exposing analytics results through secured APIs? All these challenges require integration skills. Skills that are very familiar to specialists in the Integration business. This presentation will explain why these are great times to be an Integration expert and how we can help tackling current challenges.
IoT at the Edge - Greengrass and More - AWS PS Summit Canberra 2017Amazon Web Services
This session focuses on the business and strategic implications of leveraging IoT, and provides starting points in the AWS Cloud to accelerate your time to value. Learn how to build IoT solutions with AWS Greengrass to connect different types of cloud devices and reap the benefits of communicating your data across platforms to better respond to events, ensure secure communication, and reduce the cost of running IoT applications.
Speaker: Craig Lawton, Solutions Architect, Amazon Web Services
Level: 200
Cloud Foundry is a collection of complementary open source technologies focused on application developers and operators, as well as many projects to support and extend them.
In this webinar on April 24th, Chip Childers provided an overview of Cloud Foundry technologies (Application Runtime, Container Runtime and BOSH) discussing their use cases and core project updates. He discussed the technical benefits of the platform, focus areas for 2018, and major highlights from the Cloud Foundry Summit held April 18-20 in Boston, MA.
To view the video recording & more: http://www.cloud-council.org/webinars/cloud-foundry-roadmap-in-2018.htm
Servizi Cloud Computing: Scenario, Strategia e Mercato Nicoletta MaggioreApulian ICT Living Labs
Presentazione nell'ambito del workshop: OPEN DATA E CLOUD COMPUTING: OPPORTUNITÀ DI BUSINESS. Una vista internazionale - 15 Settembre 2014 Pad. 152 della Regione Puglia - 78 Fiera del Levante Bari
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.
Presentation at API World September 12, 2018 in San Josedsapps
Sesh Raj from DSAPPS Inc. presents on designing applications with blockchain APIs for edge computing. The presentation introduces DSAPPS, discusses the benefits of blockchain technology such as distributed trust compared to traditional databases, and explains why edge computing is well-suited for blockchain given its benefits for speed, reliability, and handling remote operations and sensor data. Examples of blockchain use cases for areas like smart cities and supply chains are also provided.
Amazon Managed Blockchain is a fully managed blockchain service that makes it easy for customers to create and manage scalable blockchain-based transaction networks (blockchain networks) using the popular open source blockchain frameworks Hyperledger Fabric and Ethereum. Blockchain technologies enable groups of organizations, oftentimes in financial services and manufacturing, to securely transact, run application code, and share data without a trusted central authority. We will explore the components of blockchain technology, discuss use cases, and do a deep dive into capabilities, performance, and key innovations in Amazon Managed Blockchain.
Speaker: Bill Baldwin - Database Technical Evangelist, AWS
Are you ready for IoT disruption? by Ana SeliškarBosnia Agile
The document discusses the Internet of Things (IoT) and how Cisco's IoT System addresses the major components of IoT including connectivity, security, analytics, management and automation. It provides an overview of Cisco's portfolio for IoT which includes purpose-built network devices, fog computing infrastructure, security from the cloud to edge devices, analytics tools, and software for digital transformation. Cisco's goal is to enable innovation across a broad ecosystem of technology partners and industries through an integrated IoT platform.
Architectural Patterns in IoT Cloud PlatformsRoshan Kulkarni
IoT PaaS platforms help accelerate the delivery of IoT solutions. This deck outlines the various architectural patterns in IoT Cloud Platforms - A useful checklist to ascertain your own IoT Solution Architecture.
Guide to IoT Projects and Architecture with Microsoft Cloud and AzureBarnaba Accardi
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.
Device to Intelligence, IOT and Big Data in OracleJunSeok Seo
The document discusses Internet of Things (IoT) and big data in the context of Oracle technologies. It provides examples of how Oracle solutions have helped companies in various industries like transportation, healthcare, manufacturing, and telecommunications manage IoT and big data. Specifically, it highlights how Oracle technologies allow for efficient processing, analysis and management of large volumes of data from IoT devices and sensor networks in real-time.
The document discusses interoperability on the Internet of Things. It describes a project to break down vertical silos in M2M systems by implementing open standards like HyperCat that make APIs and services machine-discoverable. This allows applications to work across different services without custom integration. The document also outlines ongoing work by 1248 including the Geras IoT data streaming and storage platform that uses the SenML format and supports MQTT, HTTP, and metadata search.
A Presentation about Next Generation Infrastructure for Internet of Thing from Mr Sutedjo Tjahjadi, Datacomm Cloud Business Managing Director in Politeknik Negeri Semarang, September 18th, 2016
This document introduces Microsoft Azure IoT services and patterns for building Internet of Things (IoT) solutions. It describes the key components of an IoT product including sensors, communication methods, devices, device management, and data processing. It outlines how Azure IoT Hub, IoT Suite, gateways, and other services can be used to ingest sensor data, apply machine learning, store and analyze data, and send commands to devices. An example scenario of a simulated car device is provided. The document encourages leveraging Azure's breadth of platform as a service offerings to build transformative IoT applications.
This document discusses interoperability and RTI's experience with facilitating interoperability between complex distributed systems. It describes RTI's work on over 800 projects across various industries involving 15+ standards efforts. RTI promotes using data-centric middleware like DDS to allow systems built with different technologies, platforms and vendors to easily share information through a common data model and quality of service controls. The document argues this approach improves integration, flexibility and future-proofing for systems compared to traditional methods.
Top 10 tredning technologies to learn in 2021Lokesh Agarwal
In this world of digitalization, technologies are expanding rapidly. As the world foremost tech news contributor, it is the duty of us to keep everyone updated with the newest trends of the top 10 trending technologies in 2021. Technology and programming language are so important in day to day lifestyle to make the livelihood more facile. These computer scientists and professionals are regularly making the bests out of anything. Technology has taken a face of more productiveness and give the best to the nation. In the present scenario, everything is done through the technical process, you don’t have to bother about doing work, everything will be done automatically. In this article, some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top 10 trending technologies in2021 and its impression in the coming future.
Embedded systems are becoming interconnected and accessible via the internet. Gartner Group estimates there will be nearly 26 billion devices that make up the Internet of Things by 2020. This results in a massive variety of connected devices with varying security, reliability, and authentication requirements. Cost sensitivity also figures into the equation. This mix of requirements and costs require IoT developers to identify sensor, processor, and software solutions that address the requirements and hit required price points. Join us as IoT solution experts discuss sensors, connectivity, processors, platforms, and software for IoT applications and overview applications of IoT in various markets.
Watch for free on-demand http://ecast.opensystemsmedia.com/511
1. The document discusses AIoT and edge computing.
2. It introduces Microsoft's Azure IoT platform and services for connecting, processing, analyzing and acting on IoT data.
3. Edge computing with Azure IoT Edge is described which analyzes data locally on IoT devices to reduce latency and cloud requirements.
Unified Analytics in GE’s Predix for the IIoT: Tying Operational Technology t...Altoros
Learn how to achieve holistic operational visibility into IIoT business environments by correlating the data from Operational Technology and IT, and organizing it as a single pane of glass in accordance with business processes.
Originally presented on April 11, 2017
Watch on-demand: https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&referrer=&eventid=1383298&sessionid=1&key=96B34B2E00F5FAA33C2957FE29D84624®Tag=&sourcepage=register
Why integration is key in IoT solutions? (Sam Vanhoutte @Integrate2017)Codit
While working on several Internet of Things projects with different customers in Europe, it became clear that Integration matters more than ever. Building an overall IoT solution requires many different technologies and skills. The Architect role is crucial to combining different services into one solid solution. Integration skills are extremely important in building robust and scalable IoT solutions. Every phase of the IoT value chain requires integration, since IoT solutions are distributed and decoupled by nature. Retro-fitting existing devices? Routing of telemetry data? Or even exposing analytics results through secured APIs? All these challenges require integration skills. Skills that are very familiar to specialists in the Integration business. This presentation will explain why these are great times to be an Integration expert and how we can help tackling current challenges.
IoT at the Edge - Greengrass and More - AWS PS Summit Canberra 2017Amazon Web Services
This session focuses on the business and strategic implications of leveraging IoT, and provides starting points in the AWS Cloud to accelerate your time to value. Learn how to build IoT solutions with AWS Greengrass to connect different types of cloud devices and reap the benefits of communicating your data across platforms to better respond to events, ensure secure communication, and reduce the cost of running IoT applications.
Speaker: Craig Lawton, Solutions Architect, Amazon Web Services
Level: 200
Cloud Foundry is a collection of complementary open source technologies focused on application developers and operators, as well as many projects to support and extend them.
In this webinar on April 24th, Chip Childers provided an overview of Cloud Foundry technologies (Application Runtime, Container Runtime and BOSH) discussing their use cases and core project updates. He discussed the technical benefits of the platform, focus areas for 2018, and major highlights from the Cloud Foundry Summit held April 18-20 in Boston, MA.
To view the video recording & more: http://www.cloud-council.org/webinars/cloud-foundry-roadmap-in-2018.htm
Servizi Cloud Computing: Scenario, Strategia e Mercato Nicoletta MaggioreApulian ICT Living Labs
Presentazione nell'ambito del workshop: OPEN DATA E CLOUD COMPUTING: OPPORTUNITÀ DI BUSINESS. Una vista internazionale - 15 Settembre 2014 Pad. 152 della Regione Puglia - 78 Fiera del Levante Bari
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.
Presentation at API World September 12, 2018 in San Josedsapps
Sesh Raj from DSAPPS Inc. presents on designing applications with blockchain APIs for edge computing. The presentation introduces DSAPPS, discusses the benefits of blockchain technology such as distributed trust compared to traditional databases, and explains why edge computing is well-suited for blockchain given its benefits for speed, reliability, and handling remote operations and sensor data. Examples of blockchain use cases for areas like smart cities and supply chains are also provided.
Amazon Managed Blockchain is a fully managed blockchain service that makes it easy for customers to create and manage scalable blockchain-based transaction networks (blockchain networks) using the popular open source blockchain frameworks Hyperledger Fabric and Ethereum. Blockchain technologies enable groups of organizations, oftentimes in financial services and manufacturing, to securely transact, run application code, and share data without a trusted central authority. We will explore the components of blockchain technology, discuss use cases, and do a deep dive into capabilities, performance, and key innovations in Amazon Managed Blockchain.
Speaker: Bill Baldwin - Database Technical Evangelist, AWS
Insurtech, Cloud and Cybersecurity - Chartered Insurance InstituteHenrique Centieiro
Nov. 2020 presentation on Insurtech, how cloud is enabling insurtech and cybersecurity for cloud and insurtech.
Prepared by Henrique Centieiro for CII - Chartered Insurance Institute Hong Kong
Blockchain: Strategies for Moving From Hype to Realities of DeploymentCA Technologies
The promise of blockchain, or specifically distributed ledger technology, has captured the attention of business and IT leaders across multiple industries. Now is the time to move from hype to reality. This session will examine use cases of pioneering companies that apply blockchain in a multi-party entity environment with immutable smart contracts. We’ll share how some DevSecOps requirements are fundamentally different for blockchain pilots and full deployment—from getting started with the right development environment to concerns of security, encryption and operational visibility. We will also discuss integration of blockchain with existing systems of record and the use of shadow blockchain as an evolutionary step towards adoption. Join this session to learn more about developing, deploying, and securing blockchain.
For more information on Mainframe, please visit: http://ow.ly/VnBh50g66bO
This document provides an overview of Capgemini's positioning on blockchain technology. It introduces blockchain and how it differs from traditional money transfers. It also discusses how blockchain is transforming various industries. Capgemini offers expertise in taking clients from ideating blockchain use cases through production implementation. The document outlines challenges in blockchain adoption and Capgemini's approach to addressing these challenges through its five pillars of domain expertise, project management skills, alliances/partnerships, technology expertise, and developing new business models.
It explains the concept of Blockchain which is going revolutionize the world economy. Blockchain is going to change money, business and thus the world.
Chainyard ref arch hyperledger global forum 2018 12-04 v0.97 ssMohan Venkataraman
This was presented at the #Hyperledger Global Forum in 2018. Chainyard has matured its approach to deliver Permissioned Blockchain Solutions from concept to governance and consortium building. This is a short version of the presentation. If you have questions please contact me at mohan@chainyard.com
Confluent & GSI Webinars series - Session 3confluent
An in depth look at how Confluent is being used in the financial services industry. Gain an understanding of how organisations are utilising data in motion to solve common problems and gain benefits from their real time data capabilities.
It will look more deeply into some specific use cases and show how Confluent technology is used to manage costs and mitigate risks.
This session is aimed at Solutions Architects, Sales Engineers and Pre Sales, and also the more technically minded business aligned people. Whilst this is not a deeply technical session, a level of knowledge around Kafka would be helpful.
This document summarizes a workshop on private blockchains, use cases, and advanced analytics. The agenda includes an introduction, a discussion of Hyperledger Fabric designs and use cases, an overview of the Hyperledger Fabric-Samples repository, integrating Splunk for analytics on Hyperledger Fabric environments, showcasing analytics use cases in Splunk by generating transactions and failures in Hyperledger Fabric, and concluding remarks. Additional topics include advanced data integrity using blockchain and Splunk for Ethereum. The workshop aims to provide information on permissioned blockchain designs, real-world enterprise use cases, and cognitive analytics capabilities for blockchain environments.
SDChain - Blockchain 4.0: To create a blockchain ecosystem of trusted IoT dig...Liu Jen Hao
https://youtu.be/HjUV6nKITi8
In this SDChain Video, David Pan, CEO of SDChain, introduces the following:
I. SDChain Introduction,
II. SDChain Technology Architecture,
III. SDChain Industrial Applications, and
IV. Execution Plan.
The video covers IoT Six-Domain Model's
User Domain,
Application Service Domain,
Sensing & Actuating Domain,
Physical Entity Domain,
Resource Interchange Domain, and
Operation Management Domain.
A brief introduction of SDChain's SDFT Consensus Algorithm is also included.
4 Example SDChain Industrial Applications are introduced:
Agriculture,
Healthcare,
Manufacturing, and
Energy.
At the end,
the 5-year community development plan and the 2018 product development are briefly discussed, as well as SDChain's business model, utilizing SDA token for crediting IoT data transactions.
Blockchain is a new technology that allows for more secure and transparent transactions by recording them in distributed ledgers known as blockchains. Encrypted Labs is a blockchain consulting company that helps clients identify problems that can be solved using blockchain applications. They work with clients to design customized blockchain solutions and have expertise in a variety of industries. Some potential use cases discussed include supply chain management, cybersecurity, healthcare records, and intellectual property tracking.
IBM Bluemix Nice Meetup #4-20170302 6 Meetup @INRIA - BlockChainIBM France Lab
The document provides an agenda for the Nice Bluemix Meetup #4 taking place on March 2nd, 2017 at INRIA Sophia Antipolis. The agenda includes an introduction to IBM Bluemix platform-as-a-service by Arlémi Turpault and presentations on blockchain, Hyperledger, and an application demonstration of a contract exchange application on Bluemix. There will be a Q&A session following the presentations.
Galileo Platforms is developing an insurance platform using blockchain technology to connect insurers, distributors and other participants. The platform provides a full digital experience for clients from quotes to claims. It aims to help insurers address challenges in legacy systems and incomplete digital experiences. The platform uses a private, permissioned blockchain with smart contracts and APIs. It has made progress in areas like credentialing, products and claims. Galileo sees benefits for all parties including new distribution channels and data analytics.
TDC2018FLN | Trilha Blockchain - BlockChain Casos de Usos alem das CryptoMoedastdc-globalcode
Blockchain technologies can enable trusted transactions by providing a distributed digital ledger of transactions and asset transfers. The document discusses several use cases of blockchain including enabling global payments, improving supply chain visibility and traceability, facilitating trade finance and private equity administration, and addressing challenges in renewable energy flexibility and aircraft maintenance records. Blockchain allows for near real-time sharing of information across organizations on a secure immutable platform.
Transforming Financial Services with Event Streaming Dataconfluent
The document discusses how event streaming can transform financial services by providing real-time and scalable data. It describes how banks have become software-driven and the challenges of legacy infrastructure. The document then provides an overview of how Confluent event streaming works and its benefits. Finally, it discusses some key use cases for financial services including improving customer experiences, unlocking value from mainframes and core systems, payments, open banking, security and fraud, and regulatory compliance.
TDC2018SP | Trilha Blockchain - BlockChain Casos de Usos alem das CryptoMoedastdc-globalcode
This document discusses various blockchain use cases and projects by IBM. It provides 23 examples of blockchain applications for industries like trade finance, payments, supply chain, food safety, healthcare, energy, and more. For each one, it summarizes the key details including what the application does, how blockchain enables it, and the main benefits. The document aims to demonstrate how IBM is working with clients across sectors to develop blockchain solutions for real-world problems.
Similar to In-Memory Computing Driving Edge Computing and Blockchain Technologies (20)
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
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.