The document discusses IBM's Watson IoT Platform. It describes how the platform connects devices through sensors and analytics to generate insights that can improve operations, customer experiences, and create new business models. Specifically, it allows collecting data from hundreds of thousands of devices in real-time, analyzing the data to monitor performance and predict maintenance needs, and using cognitive technologies like Watson to gain new intelligence from physical systems and processes. The platform provides security, scalability, analytics and applications to help companies transform their business using IoT.
IoT with the Best: Watson IoT Bluemix and BlockchainValerie Lampkin
The document discusses IBM's Watson IoT Platform and Bluemix cloud offering. It provides an overview of the key capabilities of the Watson IoT Platform for connecting devices to the cloud, managing device data, and adding analytics and cognitive capabilities to IoT applications. It also briefly mentions using Node-RED for development and the potential to add blockchain capabilities to IoT. Several real-world examples and demos are presented.
IBM Watson IoT - New Possibilities in a Connected WorldCasey Lucas
This document discusses how cognitive IoT is transforming business by learning from physical data to gain insights. It provides examples of how cognitive computing can help unlock the 88% of IoT data that currently goes unused by learning from interactions and context. The document outlines how IBM is helping businesses in five key areas through its cognitive IoT platform, services, and partnerships to realize the full potential of IoT.
The document describes IBM's Watson IoT Platform. It discusses how the platform connects devices to collect data, uses analytics to gain insights from the data, and manages security and privacy. Key capabilities mentioned include connecting devices, integrating contextual data sources, performing real-time and predictive analytics, and ensuring risk is properly managed. Use cases across various industries like automotive, transportation, and healthcare are provided.
This document discusses IBM's Watson IoT platform and solutions. It notes that many clients are looking to engage with customers in new ways, connect devices rapidly and securely, optimize operations, and enable new business models using IoT. The IBM Watson IoT platform and solutions help clients streamline workflows in areas like facilities management, asset performance, connected products, work management, and health and safety. The document also summarizes key capabilities and offerings of the Watson IoT platform, including connectivity, information management, analytics, risk management, and partnerships. It provides examples of real-world results customers have achieved using IBM's IoT solutions.
Smart Industry 4.0: IBM Watson IoT in de praktijkIoT Academy
Tijdens de tweede IoT meetup van 2017 gaf Ronald Teijken inzicht hoe bedrijven slimmer complexe beslissingen kan nemen dankzij het Watson IoT Platform van IBM. Sensoren, Data, Analytics, Cognitive zijn enkele onderwerpen die hierbij aan bod kwamen.
Ibm Cloud platform and LoRa IoT in smart cityMike Chang
This document discusses IBM's cloud and cognitive IoT solutions. It highlights that IBM Cloud provides a highly secure, scalable and open platform for innovating with IoT. It also describes IBM's end-to-end IoT ecosystem that helps companies build and deploy IoT solutions from chip to cloud. Finally, it promotes IBM Bluemix as an innovation platform that provides the tools, services and runtimes needed to develop cognitive and IoT applications.
Retaam Solutions is a leading M2M and IoT solution provider in Saudi Arabia and the Gulf region. It develops and implements customized IoT solutions using the ThingWorx platform, which facilitates rapid development and deployment of IoT applications by reducing time to market, cost, and risk. ThingWorx provides capabilities for device management, data collection, analytics and integration with other systems through a drag-and-drop interface. Retaam has implemented various IoT projects using ThingWorx for applications like smart metering, vehicle tracking, connected coolers, and energy profiling.
In this session, Markus van Kempen discusses Internet of Things (IoT) use cases and examples. He demonstrates a geo-fencing application that tracks workers on a construction site using mobile devices and delays detonations if workers are still in danger areas. He also outlines how IoT connects devices to applications using MQTT and topics to publish and subscribe to sensor data.
Proof of concepts and use cases with IoT technologiesHeikki Ailisto
Set of proof of concept and use cases with internet of things technologies are presented with one sliders. In each case, the IoT challenge, result, benefits and use case example are given.
The document discusses how the ThingWorx IoT platform can help companies build and deploy IoT applications 10x faster by simplifying connectivity, application development, device management, and analytics. It provides examples of how various companies are using ThingWorx to develop solutions for smart agriculture, traffic monitoring, water management, and more. The platform reduces costs and risks for companies building IoT businesses and solutions.
Software AG's Cumulocity IoT platform provides capabilities for device connectivity and management, integration and APIs, data and analytics, and application enablement. It allows customers to remotely manage assets, lower costs through predictive maintenance, and make better decisions using real-time data analytics. The platform supports distributing analytics from cloud to edge to on-premises systems.
The document discusses Internet of Things (IoT) platforms and architectures. It provides three key points:
1) An IoT platform uses a standardized architecture to streamline onboarding new applications and manage information in a unified, secure, and flexible end-to-end system.
2) The architecture includes components for network interoperability, device and service management, data acquisition and verification, data analytics, data services, and backend systems.
3) Implementing an IoT platform can provide benefits to smart cities through use cases like smart street lighting, waste management, and parking that reduce energy and maintenance costs.
The document provides an overview of the Internet of Things (IoT) and IBM's solutions in this area. It discusses the scalability issues with today's IoT solutions and the evolution needs to address billions of connected devices. The document outlines IBM's IoT viewpoint which covers the full lifecycle from connecting devices to analyzing data. It also summarizes some of IBM's IoT solutions including analytics offerings, IoT foundations, gateways, and DevOps solutions. The document stresses that both business models and technology need evolution to fully realize the potential of the IoT.
The Internet of Things (IoT) is changing the way manufacturers can do business, enabling critical data to be supplied in real time and allowing smarter and faster decision-making processes across the end-to-end value chain. Let’s take a look at the scenario.
This document discusses Internet of Things (IoT) use cases and how organizations can create business value from connecting devices and assets. It provides an overview of reports predicting massive growth in connected devices and trillions in economic value from the IoT. However, it notes that many organizations are still struggling to get started with IoT initiatives. It then outlines 26 specific IoT use cases organized by business function to help organizations identify opportunities to transform processes. Examples are provided of companies successfully applying IoT use cases in areas like operations, service, marketing and more. The document encourages organizations to identify which use cases are most relevant using a workshop and roadmap developed by PTC.
Watson IoT Platform Sizing & Pricing - Sept 2016Jason Lu
The document provides information about IBM's Watson IoT Platform, including its pricing and financing options. The platform allows connecting devices and sensors to collect and analyze IoT data. It offers a free tier for basic use as well as paid dedicated and local options that provide more connections and storage. Pricing is based on the amount of data processed and stored each month. Financing options are also available to spread payments for the Watson IoT solutions over time.
5 cool things you can do with the WSO2 IoT Server WSO2
WSO2 IoT Server is an open source IoT platform released under the Apache license 2.0. It brings together WSO2’s battle hardened technologies from identity and access management, analytics, integration and API management domains to craft a fully-fledged device management framework capable of addressing any industrial IoT scenario.
Join Ruwan, in exploring some of the many things you could do with the upcoming WSO2 IoT Server. These include:
- Connecting any IoT Device to the IoT Server
- Building faster, leaner and cost-effective solutions with edge computing
- Developing versatile solutions for any IoT use case, fast
- Monitoring device statistics, triggering alerts, defining policies and getting actionable insights
- Scaling up seamlessly from managing 10 devices to a million
State of the market for IoT/IIoT and the cloud: What are the emerging opportunities for using interconnected devices and the cloud to provide enterprises with operational efficiencies and more effective mobility?
This document provides an overview of getting started with IoT data management and introduces the Advantech IoT Gateway Starter Kit. The starter kit includes a palm-sized IoT gateway with integrated IoT software for data management, device monitoring and control, and security. It also includes development tools and technical support to help users build IoT solutions for applications like smart buildings and retail. Advantech is a leader in embedded and automation products and solutions and aims to enable an intelligent planet through IoT and smart city collaborations.
2106-04-30 - IBM - The Era of the Cognitive Home - for distributionThorsten Schroeer
Cognitive systems can understand, reason, and learn from data in a way that is fundamentally different than previous technologies. The cognitive home uses these capabilities to gain a system-wide understanding of context through connected devices. The IBM Watson IoT platform provides tools to connect devices, analyze data, and build cognitive applications. For example, Miele appliances connected to the platform can receive recipe suggestions from Chef Watson. Overall, cognitive technologies will transform industries like electronics and enable new personalized experiences through applications of understanding, reasoning, and learning from data.
The Internet of Things is transforming the way we work and live. IoT technologies are enabling enterprises to create new business models, transform customer engagements and catapult entire industries forward. Technologies like cognitive computing, IoT Platforms, blockchain and Digital Twin are rapidly reinventing how businesses are driving industry transformation. This session explores how businesses across the world are taking advantage of the ever-more-connected world to drive smarter and more profitable business. Watch the replay on IoT Practitioner. https://iotpractitioner.com/iot-slam-live-2017-headline-keynote-chris-oconnor/
The document discusses how the Internet of Things (IoT) is driving a fundamental shift in the $3 trillion electronics industry from product-based to sensor and data-driven services. It outlines several industry segments that can benefit from an IoT strategy, including medical devices, consumer electronics, network equipment, office products, semiconductors, and power/automation. Representative IoT transformations are presented for each segment, such as asset optimization, intelligent fulfillment, plant performance management, and connected products.
IoT Meets Big Data: The Opportunities and Challenges by Syed Hoda of ParStreamgogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
IoT Meets Big Data: The Opportunities and Challenges as presented at the IoT Inc Business' Eighth Meetup. See: http://www.iot-inc.com/iot-meets-big-data-the-opportunities-and-challenges/
In our eighth Meetup we have Syed Hoda, Chief Marketing Officer of ParStream presenting “IoT Meets Big Data: The Opportunities and Challenges”. Come meet other business leaders in the IoT ecosystem and discuss the business issues you face in the Internet of Things.
Presentation Abstract
The Internet of Things (IoT) and Big Data have each made press headlines and continue to be board-level priorities. The intersection of IoT and Big Data is a fascinating area of innovation with tremendous scope for business impact. From industrial sensors to vehicles to health monitors, a huge variety of devices connects to the Internet and share information. At the same time, the cost to store data has dropped dramatically while capabilities for analysis have made huge leaps forward. How can analytics drive business benefits from IoT projects? What are the challenges in storing and analyzing huge amounts of real-world information? How can companies generate more value from their data? We will address these questions and also share our perspectives on innovative technologies enabling new IoT use cases.
IBM Recipe: 1 part IoT Foundation, 2 parts IBM Bluemix - mix them to create ...Foong Yen Lee
Internet of Things Foundation is IBM's newest offering for the Internet of Things (IoT). This presentation will provide an overview of IoT Foundation including the technology, features, and components to connect devices, capture data, and start building applications around it.
IBM IoT Foundation and Bluemix together enable the creation of new, innovative business applications which combine device, data, Bluemix services, and other data sources. The variety of integrations are nearly limitless, including integrating with Mobile Push services, sending data to HDFS for deeper Big Data analytics, integrating with geo spatial services, Rapid Apps, etc. We will also explore a few integration patterns to enable solutions for the Internet of Things.
Learn how the facilities of the cloud service are used to meet this goal and from there build out rich Internet of Things solutions.
IBM's Watson IoT Platform Allows You to Quickly Connect Devices to Bluemix Cl...WithTheBest
The document discusses IBM's Watson IoT Platform and Bluemix cloud offering. It provides an overview of how the Watson IoT Platform allows connecting devices to the Bluemix cloud and managing device data and analytics. It also discusses using Node-RED for adding cognitive capabilities to IoT applications and the potential of combining IoT with blockchain technology and real-world examples.
Retaam Solutions is a leading M2M and IoT solution provider in Saudi Arabia and the Gulf region. It develops and implements customized IoT solutions using the ThingWorx platform, which facilitates rapid development and deployment of IoT applications by reducing time to market, cost, and risk. ThingWorx provides capabilities for device management, data collection, analytics and integration with other systems through a drag-and-drop interface. Retaam has implemented various IoT projects using ThingWorx for applications like smart metering, vehicle tracking, connected coolers, and energy profiling.
In this session, Markus van Kempen discusses Internet of Things (IoT) use cases and examples. He demonstrates a geo-fencing application that tracks workers on a construction site using mobile devices and delays detonations if workers are still in danger areas. He also outlines how IoT connects devices to applications using MQTT and topics to publish and subscribe to sensor data.
Proof of concepts and use cases with IoT technologiesHeikki Ailisto
Set of proof of concept and use cases with internet of things technologies are presented with one sliders. In each case, the IoT challenge, result, benefits and use case example are given.
The document discusses how the ThingWorx IoT platform can help companies build and deploy IoT applications 10x faster by simplifying connectivity, application development, device management, and analytics. It provides examples of how various companies are using ThingWorx to develop solutions for smart agriculture, traffic monitoring, water management, and more. The platform reduces costs and risks for companies building IoT businesses and solutions.
Software AG's Cumulocity IoT platform provides capabilities for device connectivity and management, integration and APIs, data and analytics, and application enablement. It allows customers to remotely manage assets, lower costs through predictive maintenance, and make better decisions using real-time data analytics. The platform supports distributing analytics from cloud to edge to on-premises systems.
The document discusses Internet of Things (IoT) platforms and architectures. It provides three key points:
1) An IoT platform uses a standardized architecture to streamline onboarding new applications and manage information in a unified, secure, and flexible end-to-end system.
2) The architecture includes components for network interoperability, device and service management, data acquisition and verification, data analytics, data services, and backend systems.
3) Implementing an IoT platform can provide benefits to smart cities through use cases like smart street lighting, waste management, and parking that reduce energy and maintenance costs.
The document provides an overview of the Internet of Things (IoT) and IBM's solutions in this area. It discusses the scalability issues with today's IoT solutions and the evolution needs to address billions of connected devices. The document outlines IBM's IoT viewpoint which covers the full lifecycle from connecting devices to analyzing data. It also summarizes some of IBM's IoT solutions including analytics offerings, IoT foundations, gateways, and DevOps solutions. The document stresses that both business models and technology need evolution to fully realize the potential of the IoT.
The Internet of Things (IoT) is changing the way manufacturers can do business, enabling critical data to be supplied in real time and allowing smarter and faster decision-making processes across the end-to-end value chain. Let’s take a look at the scenario.
This document discusses Internet of Things (IoT) use cases and how organizations can create business value from connecting devices and assets. It provides an overview of reports predicting massive growth in connected devices and trillions in economic value from the IoT. However, it notes that many organizations are still struggling to get started with IoT initiatives. It then outlines 26 specific IoT use cases organized by business function to help organizations identify opportunities to transform processes. Examples are provided of companies successfully applying IoT use cases in areas like operations, service, marketing and more. The document encourages organizations to identify which use cases are most relevant using a workshop and roadmap developed by PTC.
Watson IoT Platform Sizing & Pricing - Sept 2016Jason Lu
The document provides information about IBM's Watson IoT Platform, including its pricing and financing options. The platform allows connecting devices and sensors to collect and analyze IoT data. It offers a free tier for basic use as well as paid dedicated and local options that provide more connections and storage. Pricing is based on the amount of data processed and stored each month. Financing options are also available to spread payments for the Watson IoT solutions over time.
5 cool things you can do with the WSO2 IoT Server WSO2
WSO2 IoT Server is an open source IoT platform released under the Apache license 2.0. It brings together WSO2’s battle hardened technologies from identity and access management, analytics, integration and API management domains to craft a fully-fledged device management framework capable of addressing any industrial IoT scenario.
Join Ruwan, in exploring some of the many things you could do with the upcoming WSO2 IoT Server. These include:
- Connecting any IoT Device to the IoT Server
- Building faster, leaner and cost-effective solutions with edge computing
- Developing versatile solutions for any IoT use case, fast
- Monitoring device statistics, triggering alerts, defining policies and getting actionable insights
- Scaling up seamlessly from managing 10 devices to a million
State of the market for IoT/IIoT and the cloud: What are the emerging opportunities for using interconnected devices and the cloud to provide enterprises with operational efficiencies and more effective mobility?
This document provides an overview of getting started with IoT data management and introduces the Advantech IoT Gateway Starter Kit. The starter kit includes a palm-sized IoT gateway with integrated IoT software for data management, device monitoring and control, and security. It also includes development tools and technical support to help users build IoT solutions for applications like smart buildings and retail. Advantech is a leader in embedded and automation products and solutions and aims to enable an intelligent planet through IoT and smart city collaborations.
2106-04-30 - IBM - The Era of the Cognitive Home - for distributionThorsten Schroeer
Cognitive systems can understand, reason, and learn from data in a way that is fundamentally different than previous technologies. The cognitive home uses these capabilities to gain a system-wide understanding of context through connected devices. The IBM Watson IoT platform provides tools to connect devices, analyze data, and build cognitive applications. For example, Miele appliances connected to the platform can receive recipe suggestions from Chef Watson. Overall, cognitive technologies will transform industries like electronics and enable new personalized experiences through applications of understanding, reasoning, and learning from data.
The Internet of Things is transforming the way we work and live. IoT technologies are enabling enterprises to create new business models, transform customer engagements and catapult entire industries forward. Technologies like cognitive computing, IoT Platforms, blockchain and Digital Twin are rapidly reinventing how businesses are driving industry transformation. This session explores how businesses across the world are taking advantage of the ever-more-connected world to drive smarter and more profitable business. Watch the replay on IoT Practitioner. https://iotpractitioner.com/iot-slam-live-2017-headline-keynote-chris-oconnor/
The document discusses how the Internet of Things (IoT) is driving a fundamental shift in the $3 trillion electronics industry from product-based to sensor and data-driven services. It outlines several industry segments that can benefit from an IoT strategy, including medical devices, consumer electronics, network equipment, office products, semiconductors, and power/automation. Representative IoT transformations are presented for each segment, such as asset optimization, intelligent fulfillment, plant performance management, and connected products.
IoT Meets Big Data: The Opportunities and Challenges by Syed Hoda of ParStreamgogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
IoT Meets Big Data: The Opportunities and Challenges as presented at the IoT Inc Business' Eighth Meetup. See: http://www.iot-inc.com/iot-meets-big-data-the-opportunities-and-challenges/
In our eighth Meetup we have Syed Hoda, Chief Marketing Officer of ParStream presenting “IoT Meets Big Data: The Opportunities and Challenges”. Come meet other business leaders in the IoT ecosystem and discuss the business issues you face in the Internet of Things.
Presentation Abstract
The Internet of Things (IoT) and Big Data have each made press headlines and continue to be board-level priorities. The intersection of IoT and Big Data is a fascinating area of innovation with tremendous scope for business impact. From industrial sensors to vehicles to health monitors, a huge variety of devices connects to the Internet and share information. At the same time, the cost to store data has dropped dramatically while capabilities for analysis have made huge leaps forward. How can analytics drive business benefits from IoT projects? What are the challenges in storing and analyzing huge amounts of real-world information? How can companies generate more value from their data? We will address these questions and also share our perspectives on innovative technologies enabling new IoT use cases.
IBM Recipe: 1 part IoT Foundation, 2 parts IBM Bluemix - mix them to create ...Foong Yen Lee
Internet of Things Foundation is IBM's newest offering for the Internet of Things (IoT). This presentation will provide an overview of IoT Foundation including the technology, features, and components to connect devices, capture data, and start building applications around it.
IBM IoT Foundation and Bluemix together enable the creation of new, innovative business applications which combine device, data, Bluemix services, and other data sources. The variety of integrations are nearly limitless, including integrating with Mobile Push services, sending data to HDFS for deeper Big Data analytics, integrating with geo spatial services, Rapid Apps, etc. We will also explore a few integration patterns to enable solutions for the Internet of Things.
Learn how the facilities of the cloud service are used to meet this goal and from there build out rich Internet of Things solutions.
IBM's Watson IoT Platform Allows You to Quickly Connect Devices to Bluemix Cl...WithTheBest
The document discusses IBM's Watson IoT Platform and Bluemix cloud offering. It provides an overview of how the Watson IoT Platform allows connecting devices to the Bluemix cloud and managing device data and analytics. It also discusses using Node-RED for adding cognitive capabilities to IoT applications and the potential of combining IoT with blockchain technology and real-world examples.
IBM is hosting a hackathon to promote the use of Watson cognitive APIs and IBM Bluemix for building IoT projects. Participants can use Watson cognitive APIs for tasks like natural language processing, image recognition, and pattern detection on sensory data. The hackathon will award $2000 for first place and $1000 for second place for the best use of Watson cognitive APIs and Bluemix. IBM is providing Raspberry Pi kits and extended free trials of Bluemix to participants.
Using Watson to build Cognitive IoT Apps on BluemixIBM
Learn how IBM Watson is allowing developers to build cognitive applications in the IBM Cloud. Using the IoT foundation and Watson, the future of connected devices is staying connected in a cognitive way with smarter apps and smarter devices.
IBM and Client/Partner will establish a local IBM Watson IoT Center in Munich to jointly create new IoT solutions. They will have a close collaboration to offer joint solutions for digital innovation, leveraging IBM experts in various areas like design, data science, and more. The center will drive joint design thinking workshops aligned to Client/Partner focus areas covering IoT, cognitive capabilities, and analytics.
IBM Internet of Things Keynote @ m2m World Congress - April 2015Neil Postlethwaite
This document discusses IBM's investments and capabilities in the Internet of Things (IoT) domain. It outlines IBM's current IoT solutions across industries like manufacturing, transportation, and healthcare. It also describes emerging solutions like connected vehicles and products. Furthermore, the document emphasizes that IBM is building an ecosystem of partners to develop end-to-end IoT solutions and addresses key challenges like connectivity, security, and analytics. It positions IBM as focused on delivering real business value from IoT insights today through its capabilities in data collection, analysis, and secure connectivity.
World of Watson 2016 - Internet of (Things) TomorrowKeith Redman
According to Forbes Magazine, in 2008 the number of devices connected to the internet first exceeded the number of Humans connect to the internet. Since then, the Internet has exploded with the number of 'Things' connected to it and communicating across it. That data is a treasure for those who know how to mine it. Check out these sessions on Analytics in the Internet of Tomorrow.
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Andy Stanford Clark from IBM speaks at the BLN IoT Forum 2016. It's All About the Data.
The document discusses how digital technologies and data can help address sustainability issues like reducing CO2 emissions and increasing climate change resilience. It provides examples of how technologies like the Internet of Things, analytics, and cognitive computing can give insights into issues like energy usage, transportation flows, and infrastructure management. These insights can then be used to improve operational efficiency, better prepare for and respond to events, and foster new forms of collaboration. The document argues that, with the right approaches and by treating data as a new natural resource, digital technologies have the potential to significantly reduce CO2 emissions from various economic sectors and help build more climate resilient systems.
An Internet of Things solution will always need to connect devices, collect data, assemble events and do so in a way that is managed. With this introduction to the IBM Internet of Things Foundation, learn how all of this is delivered in a cloud hosted service and make it the platform on which you build your next set of innovations.
Try it out in the IBM Bluemix IoT Zone:
http://bluemix.net/solutions/iot
The Internet of Things (IoT) - What Really Matters for a Start-UpSandy Carter
The document discusses the Internet of Things (IoT) ecosystem and what matters most for success. It notes that $1 billion was invested in IoT ventures in 2013 and that IoT units installed are estimated to reach 26 billion by 2020. The key focuses that really matter are having the right focus in three areas: domain expertise in industries like automotive and healthcare; understanding drivers of value for users/buyers; and prioritizing user-centered design. Integrated solutions that collect, analyze and optimize data from devices and sensors will be important long-term opportunities. Thriving ecosystems provide mentoring, access to capital, and opportunities to scale globally.
Introduction to ibm internet of things foundationBernard Kufluk
The document provides an introduction to IBM's Internet of Things Foundation. It discusses the growth of the IoT and forecasts billions of connected devices. IBM's IoT Foundation allows users to easily connect and manage devices, collect and analyze sensor data, and build applications. It offers APIs, data visualization, and device management. The presentation highlights case studies and recommends next steps for learning about and using the IoT Foundation to develop IoT solutions.
IBM BC2015 - Internet of Things - from hype to realityIBM Sverige
Denna presentation hölls på IBM Business Connect (http://www.ibm.com/se/businessconnect) i oktober 2015 av Kim Escherich (IoT Innovation Architect, IBM)
Beskrivning:
Internet of Things is everywhere, and almost everyone is talking about it its impact to society. It is changing how we innovate to create new cool things, how people interact and learn, and our ability more wisely use our resources.
This presentation will briefly review IBM's journey, what areas are in focus and what IBM sees as its key contributions to this transformation.
The document discusses the convergence of AI, blockchain, and IoT technologies and provides examples of integration and use cases. Specifically:
1. It outlines how AI and blockchain can be integrated in areas like data marketplaces, privacy compliance, distributed computing, and improving trust in AI systems. Blockchain can also optimize AI operations and transactions.
2. Integration examples are provided like an AI expert marketplace using blockchain for data sharing, a news content sharing platform using AI for fact checking, and supply chain management applications.
3. Ways IoT and blockchain interact include secure data sharing between IoT devices using smart contracts and IoT providing identity verification. Example applications given are smart electric grids and logistics.
This document discusses how to capture, analyze, and react to IoT sensor data in real-time. It notes that the amount of IoT data will grow exponentially in coming years, but most data is never analyzed or used. It also explains that the value of most IoT data decays rapidly. The document then provides examples of new low-cost IoT sensors and discusses MQTT as a lightweight protocol for transmitting sensor data. It outlines how to use Apache Spark and machine/deep learning on historical and streaming data to build models. Finally, it discusses challenges like the computational complexity of neural networks and envisions applications of connected vehicles.
Rapid IoT Application Development with IBM Bluemix - Mikko PoutanenWithTheBest
This document summarizes a presentation on rapid IoT application development using IBM Bluemix. It discusses how Bluemix provides tools and services for IoT developers, and showcases a simulated connected car application displayed on a map. It also demonstrates the geospatial analytics service and a simple Node-RED app for analytics. The document provides an overview of Bluemix, Watson IoT Platform, Node-RED, and the connected vehicle demo application, including prerequisites and steps to configure and deploy the demo.
Phoenix Data Conference - Big Data Analytics for IoT 11/4/17Mark Goldstein
“Big Data for IoT: Analytics from Descriptive to Predictive to Prescriptive” was presented to the Phoenix Data Conference on 11/4/17 at Grand Canyon University.
As the Internet of Things (IoT) floods data lakes and fills data oceans with sensor and real-world data, analytic tools and real-time responsiveness will require improved platforms and applications to deal with the data flow and move from descriptive to predictive to prescriptive analysis and outcomes.
AI for All: Biology is eating the world & AI is eating Biology Intel® Software
Advances in cell biology and creation of an immense amount of data are converging with advances in Machine learning to analyze this data. Biology is experiencing its AI moment and driving the massive computation involved in understanding biological mechanisms and driving interventions. Learn about how cutting edge technologies such as Software Guard Extensions (SGX) in the latest Intel Xeon Processors and Open Federated Learning (OpenFL), an open framework for federated learning developed by Intel, are helping advance AI in gene therapy, drug design, disease identification and more.
Python Data Science and Machine Learning at Scale with Intel and AnacondaIntel® Software
Python is the number 1 language for data scientists, and Anaconda is the most popular python platform. Intel and Anaconda have partnered to bring scalability and near-native performance to Python with simple installations. Learn how data scientists can now access oneAPI-optimized Python packages such as NumPy, Scikit-Learn, Modin, Pandas, and XGBoost directly from the Anaconda repository through simple installation and minimal code changes.
Streamline End-to-End AI Pipelines with Intel, Databricks, and OmniSciIntel® Software
Preprocess, visualize, and Build AI Faster at-Scale on Intel Architecture. Develop end-to-end AI pipelines for inferencing including data ingestion, preprocessing, and model inferencing with tabular, NLP, RecSys, video and image using Intel oneAPI AI Analytics Toolkit and other optimized libraries. Build at-scale performant pipelines with Databricks and end-to-end Xeon optimizations. Learn how to visualize with the OmniSci Immerse Platform and experience a live demonstration of the Intel Distribution of Modin and OmniSci.
AI for good: Scaling AI in science, healthcare, and more.Intel® Software
How do we scale AI to its full potential to enrich the lives of everyone on earth? Learn about AI hardware and software acceleration and how Intel AI technologies are being used to solve critical problems in high energy physics, cancer research, financial inclusion, and more. Get started on your AI Developer Journey @ software.intel.com/ai
Software AI Accelerators: The Next Frontier | Software for AI Optimization Su...Intel® Software
Software AI Accelerators deliver orders of magnitude performance gain for AI across deep learning, classical machine learning, and graph analytics and are key to enabling AI Everywhere. Get started on your AI Developer Journey @ software.intel.com/ai.
Advanced Techniques to Accelerate Model Tuning | Software for AI Optimization...Intel® Software
Learn about the algorithms and associated implementations that power SigOpt, a platform for efficiently conducting model development and hyperparameter optimization. Get started on your AI Developer Journey @ software.intel.com/ai.
Reducing Deep Learning Integration Costs and Maximizing Compute Efficiency| S...Intel® Software
oneDNN Graph API extends oneDNN with a graph interface which reduces deep learning integration costs and maximizes compute efficiency across a variety of AI hardware including AI accelerators. Get started on your AI Developer Journey @ software.intel.com/ai.
AWS & Intel Webinar Series - Accelerating AI ResearchIntel® Software
Scale your research workloads faster with Intel on AWS. Learn how the performance and productivity of Intel Hardware and Software help bridge the gap between ideation and results in Data Science. Get started on your AI Developer Journey @ software.intel.com/ai.
Whether you are an AI, HPC, IoT, Graphics, Networking or Media developer, visit the Intel Developer Zone today to access the latest software products, resources, training, and support. Test-drive the latest Intel hardware and software products on DevCloud, our online development sandbox, and use DevMesh, our online collaboration portal, to meet and work with other innovators and product leaders. Get started by joining the Intel Developer Community @ software.intel.com.
The document outlines the agenda and code of conduct for an Intel AI Summit event. The agenda includes workshops on Intel's AI portfolio, lunch, more workshops, a break, presentations on applications of Intel AI and an Intel AI partner, and concludes with networking and appetizers. The code of conduct states that Intel aims to create a respectful environment and any disrespectful or harassing behavior will not be tolerated.
This document discusses Bodo Inc.'s product that aims to simplify and accelerate data science workflows. It highlights common problems in data science like complex and slow analytics, segregated development and production environments, and unused data. Bodo provides a unified development and production environment where the same code can run at any scale with automatic parallelization. It integrates an analytics engine and HPC architecture to optimize Python code for performance. Bodo is presented as offering more productive, accurate and cost-effective data science compared to traditional approaches.
AIDC NY: Applications of Intel AI by QuEST Global - 09.19.2019Intel® Software
QuEST Global is a global engineering company that provides AI and digital transformation services using technologies like computer vision, machine learning, and deep learning. It has developed several AI solutions using Intel technologies like OpenVINO that provide accelerated inferencing on Intel CPUs. Some examples include a lung nodule detection solution to help detect early-stage lung cancer from CT scans and a vision analytics platform used for applications in retail, banking, and surveillance. The company leverages Intel's AI Builder program and ecosystem to develop, integrate, and deploy AI solutions globally.
Advanced Single Instruction Multiple Data (SIMD) Programming with Intel® Impl...Intel® Software
Explore practical elements, such as performance profiling, debugging, and porting advice. Get an overview of advanced programming topics, like common design patterns, SIMD lane interoperability, data conversions, and more.
Build a Deep Learning Video Analytics Framework | SIGGRAPH 2019 Technical Ses...Intel® Software
Explore how to build a unified framework based on FFmpeg and GStreamer to enable video analytics on all Intel® hardware, including CPUs, GPUs, VPUs, FPGAs, and in-circuit emulators.
Review state-of-the-art techniques that use neural networks to synthesize motion, such as mode-adaptive neural network and phase-functioned neural networks. See how next-generation CPUs with reinforcement learning can offer better performance.
RenderMan*: The Role of Open Shading Language (OSL) with Intel® Advanced Vect...Intel® Software
This talk focuses on the newest release in RenderMan* 22.5 and its adoption at Pixar Animation Studios* for rendering future movies. With native support for Intel® Advanced Vector Extensions, Intel® Advanced Vector Extensions 2, and Intel® Advanced Vector Extensions 512, it includes enhanced library features, debugging support, and an extensive test framework.
This document discusses Intel's hardware and software portfolio for artificial intelligence. It highlights Intel's move from multi-purpose to purpose-built AI compute solutions from the cloud to edge devices. It also discusses Intel's data-centric infrastructure including CPUs, accelerators, networking fabric and memory technologies. Finally, it provides examples of Intel optimizations that have increased AI performance on Intel Xeon scalable processors.
AIDC India - Intel Movidius / Open Vino SlidesIntel® Software
The document discusses a smart tollgate system that uses an Intel Movidius Myriad vision processing unit and the Intel Distribution of OpenVINO Toolkit. The system is able to identify vehicles in real-time and process toll payments automatically without needing to stop.
This document discusses AI vision and a hybrid approach using both edge and server-based analytics. It outlines some of the challenges of vision problems where data is analog, complex, and data-heavy. A hybrid approach is proposed that uses edge devices for initial analysis similar to the ventral stream, while also using servers for deeper correlation and inference like the dorsal stream. This combines the strengths of edge and server-based computing on platforms like Intel that support both CPUs and GPUs to efficiently solve real-world vision problems. Several case studies are provided as examples.
Risk Analysis 101: Using a Risk Analyst to Fortify Your IT Strategyjohn823664
Discover how a minor IT glitch became the catalyst for a major strategic shift. In this real-world story, follow Emma, a CTO at a fast-growing managed service provider, as she faces a critical data backup failure—and turns to a risk analyst from remoting.work to transform chaos into clarity.
This presentation breaks down the essentials of IT risk analysis and shows how SMBs can proactively manage cyber threats, regulatory gaps, and infrastructure vulnerabilities. Learn what a remote risk analyst really does, why structured risk management matters, and how remoting.work delivers vetted experts without the overhead of full-time hires.
Perfect for CTOs, IT managers, and business owners ready to future-proof their IT strategy.
👉 Visit remoting.work to schedule your free risk assessment today.
TrustArc Webinar: Cross-Border Data Transfers in 2025TrustArc
In 2025, cross-border data transfers are becoming harder to manage—not because there are no rules, the regulatory environment has become increasingly complex. Legal obligations vary by jurisdiction, and risk factors include national security, AI, and vendor exposure. Some of the examples of the recent developments that are reshaping how organizations must approach transfer governance:
- The U.S. DOJ’s new rule restricts the outbound transfer of sensitive personal data to foreign adversaries countries of concern, introducing national security-based exposure that privacy teams must now assess.
- The EDPB confirmed that GDPR applies to AI model training — meaning any model trained on EU personal data, regardless of location, must meet lawful processing and cross-border transfer standards.
- Recent enforcement — such as a €290 million GDPR fine against Uber for unlawful transfers and a €30.5 million fine against Clearview AI for scraping biometric data signals growing regulatory intolerance for cross-border data misuse, especially when transparency and lawful basis are lacking.
- Gartner forecasts that by 2027, over 40% of AI-related privacy violations will result from unintended cross-border data exposure via GenAI tools.
Together, these developments reflect a new era of privacy risk: not just legal exposure—but operational fragility. Privacy programs must/can now defend transfers at the system, vendor, and use-case level—with documentation, certification, and proactive governance.
The session blends policy/regulatory events and risk framing with practical enablement, using these developments to explain how TrustArc’s Data Mapping & Risk Manager, Assessment Manager and Assurance Services help organizations build defensible, scalable cross-border data transfer programs.
This webinar is eligible for 1 CPE credit.
RFID (Radio Frequency Identification) is a technology that uses radio waves to
automatically identify and track objects, such as products, pallets, or containers, in the supply chain.
In supply chain management, RFID is used to monitor the movement of goods
at every stage — from manufacturing to warehousing to distribution to retail.
For this products/packages/pallets are tagged with RFID tags and RFID readers,
antennas and RFID gate systems are deployed throughout the warehouse
Bridging AI and Human Expertise: Designing for Trust and Adoption in Expert S...UXPA Boston
AI and Machine Learning are transforming expert systems, augmenting human decision-making in fields ranging from finance and healthcare to manufacturing and supply chain. But for AI to be truly effective, experts must trust and adopt these systems. This talk explores how UX practitioners can bridge the gap between AI’s computational power and human expertise.
We'll discuss key challenges, including designing for trust, working with the limits of explainability, and ensuring adoption through user-centered strategies. Attendees will gain practical insights into how to craft AI-driven experiences that experts rely on with confidence, ensuring these systems enhance rather than hinder decision-making.
React Native for Business Solutions: Building Scalable Apps for SuccessAmelia Swank
See how we used React Native to build a scalable mobile app from concept to production. Learn about the benefits of React Native development.
for more info : https://www.atoallinks.com/2025/react-native-developers-turned-concept-into-scalable-solution/
AI and Meaningful Work by Pablo Fernández VallejoUXPA Boston
As organizations rush to "put AI everywhere," UX professionals find themselves at a critical inflection point. Beyond crafting efficient interfaces that satisfy user needs, we face a deeper challenge: how do we ensure AI-powered systems create meaningful rather than alienating work experiences?
This talk confronts an uncomfortable truth: our standard approach of "letting machines do what machines do best" often backfires. When we position humans primarily as AI overseers or strip analytical elements from roles to "focus on human skills," we risk creating technically efficient but professionally hollow work experiences.
Drawing from real-world implementations and professional practice, we'll explore four critical dimensions that determine whether AI-augmented work remains meaningful:
- Agency Level: How much genuine control and decision-making scope remains?
- Challenge Dimension: Does the work maintain appropriate cognitive engagement?
- Professional Identity: How is the core meaning of work impacted?
- Responsibility-Authority Gap: Do accountability and actual control remain aligned?
Key takeaways of this talk include:
- A practical framework for evaluating AI's impact on work quality
- Warning signs of problematic implementation patterns
- Strategies for preserving meaningful work in AI-augmented environments
- Approaches for influencing implementation decisions
This session assumes familiarity with organizational design challenges but focuses on emerging patterns rather than technical implementation. It aims to equip UX professionals with new perspectives for shaping how AI transforms work—not just how efficiently it performs tasks.
🔍 Top 5 Qualities to Look for in Salesforce Partners in 2025
Choosing the right Salesforce partner is critical to ensuring a successful CRM transformation in 2025.
Crazy Incentives and How They Kill Security. How Do You Turn the Wheel?Christian Folini
Everybody is driven by incentives. Good incentives persuade us to do the right thing and patch our servers. Bad incentives make us eat unhealthy food and follow stupid security practices.
There is a huge resource problem in IT, especially in the IT security industry. Therefore, you would expect people to pay attention to the existing incentives and the ones they create with their budget allocation, their awareness training, their security reports, etc.
But reality paints a different picture: Bad incentives all around! We see insane security practices eating valuable time and online training annoying corporate users.
But it's even worse. I've come across incentives that lure companies into creating bad products, and I've seen companies create products that incentivize their customers to waste their time.
It takes people like you and me to say "NO" and stand up for real security!
UiPath AgentHack - Build the AI agents of tomorrow_Enablement 1.pptxanabulhac
Join our first UiPath AgentHack enablement session with the UiPath team to learn more about the upcoming AgentHack! Explore some of the things you'll want to think about as you prepare your entry. Ask your questions.
A national workshop bringing together government, private sector, academia, and civil society to discuss the implementation of Digital Nepal Framework 2.0 and shape the future of Nepal’s digital transformation.
Breaking it Down: Microservices Architecture for PHP Developerspmeth1
Transitioning from monolithic PHP applications to a microservices architecture can be a game-changer, unlocking greater scalability, flexibility, and resilience. This session will explore not only the technical steps but also the transformative impact on team dynamics. By decentralizing services, teams can work more autonomously, fostering faster development cycles and greater ownership. Drawing on over 20 years of PHP experience, I’ll cover essential elements of microservices—from decomposition and data management to deployment strategies. We’ll examine real-world examples, common pitfalls, and effective solutions to equip PHP developers with the tools and strategies needed to confidently transition to microservices.
Key Takeaways:
1. Understanding the core technical and team dynamics benefits of microservices architecture in PHP.
2. Techniques for decomposing a monolithic application into manageable services, leading to more focused team ownership and accountability.
3. Best practices for inter-service communication, data consistency, and monitoring to enable smoother team collaboration.
4. Insights on avoiding common microservices pitfalls, such as over-engineering and excessive interdependencies, to keep teams aligned and efficient.
Digital Technologies for Culture, Arts and Heritage: Insights from Interdisci...Vasileios Komianos
Keynote speech at 3rd Asia-Europe Conference on Applied Information Technology 2025 (AETECH), titled “Digital Technologies for Culture, Arts and Heritage: Insights from Interdisciplinary Research and Practice". The presentation draws on a series of projects, exploring how technologies such as XR, 3D reconstruction, and large language models can shape the future of heritage interpretation, exhibition design, and audience participation — from virtual restorations to inclusive digital storytelling.
Longitudinal Benchmark: A Real-World UX Case Study in Onboarding by Linda Bor...UXPA Boston
This is a case study of a three-part longitudinal research study with 100 prospects to understand their onboarding experiences. In part one, we performed a heuristic evaluation of the websites and the getting started experiences of our product and six competitors. In part two, prospective customers evaluated the website of our product and one other competitor (best performer from part one), chose one product they were most interested in trying, and explained why. After selecting the one they were most interested in, we asked them to create an account to understand their first impressions. In part three, we invited the same prospective customers back a week later for a follow-up session with their chosen product. They performed a series of tasks while sharing feedback throughout the process. We collected both quantitative and qualitative data to make actionable recommendations for marketing, product development, and engineering, highlighting the value of user-centered research in driving product and service improvements.
In-App Guidance_ Save Enterprises Millions in Training & IT Costs.pptxaptyai
Discover how in-app guidance empowers employees, streamlines onboarding, and reduces IT support needs-helping enterprises save millions on training and support costs while boosting productivity.
Middle East and Africa Cybersecurity Market Trends and Growth Analysis Preeti Jha
The Middle East and Africa cybersecurity market was valued at USD 2.31 billion in 2024 and is projected to grow at a CAGR of 7.90% from 2025 to 2034, reaching nearly USD 4.94 billion by 2034. This growth is driven by increasing cyber threats, rising digital adoption, and growing investments in security infrastructure across the region.
Mastering Testing in the Modern F&B Landscapemarketing943205
Dive into our presentation to explore the unique software testing challenges the Food and Beverage sector faces today. We’ll walk you through essential best practices for quality assurance and show you exactly how Qyrus, with our intelligent testing platform and innovative AlVerse, provides tailored solutions to help your F&B business master these challenges. Discover how you can ensure quality and innovate with confidence in this exciting digital era.
Mastering Testing in the Modern F&B Landscapemarketing943205
IBM Watson IoT Platform*: Turn Your Sensor Data into Insights
1. 1
John Walicki
Watson IoT Developer Advocate
@johnwalicki
<[email protected]>
http://ibm.biz/TryWatsonIoT
IoT End to End :
Turn your IoT Sensor Data into Insights
using Watson IoT