IBM Thorsten Schroeer @ ARC European Industry Forum 2021Thorsten Schroeer
I gave this presentation in May 2021 at the ARC Industry Forum. This digital event had 700 attendants and coverd topics incl. AI, Blockchain, Cloud, Ot/IT, Security and some more.
2016 ibm watson io t forum 躍升雲端 敏捷打造物聯網平台Mike Chang
The document discusses IBM's Watson IoT platform and how it can be used from device connectivity to analytics. It provides an overview of the different phases of using the platform from try/dev to managing services. It also discusses how the platform allows composing applications using tools like Node-RED and integrating various services like data and analytics. Industry solutions and examples are also mentioned.
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.
The Industrial Internet of Things and Industry 4.0 promises the next revolution for manufacturing. In this presentation you will have an overview on how AWS Cloud helps manufacturers digitally transform in multiple process areas to improve business operations.
Mindsphere: an open cloud-based IoT operating system for IndustryIIoTWorld
The document discusses MindSphere, an open cloud-based IoT operating system from Siemens for connecting industrial assets and extracting insights. It provides:
- An open platform as a service (PaaS) for scalable global IoT connectivity and application development through powerful APIs and tools for analytics and visualization.
- Plug-and-play connectivity to hardware and a stairway to value creation through responsive, proactive/predictive, and business-enhancing capabilities.
- End-to-end solutions examples including machine performance monitoring, energy monitoring for smart buildings, and digital twins across products, production and asset performance.
From 3D Visualization to Augmented RealityIIoTWorld
The document discusses how augmented reality and 3D visualization can improve work environments and decision making. It describes Bentley Systems' software tools that allow users to create 3D models from photos, view them in virtual reality, and leverage digital twin technologies. This helps asset owners better manage assets across their lifecycle, increase safety and efficiency, and make more informed decisions. The presentation then outlines specific use cases for augmented reality in training, collaboration, and accessing work instructions and concludes with a call for questions.
IBM Thorsten Schroeer @ ARC European Industry Forum 2021Thorsten Schroeer
I gave this presentation in May 2021 at the ARC Industry Forum. This digital event had 700 attendants and coverd topics incl. AI, Blockchain, Cloud, Ot/IT, Security and some more.
2016 ibm watson io t forum 躍升雲端 敏捷打造物聯網平台Mike Chang
The document discusses IBM's Watson IoT platform and how it can be used from device connectivity to analytics. It provides an overview of the different phases of using the platform from try/dev to managing services. It also discusses how the platform allows composing applications using tools like Node-RED and integrating various services like data and analytics. Industry solutions and examples are also mentioned.
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.
The Industrial Internet of Things and Industry 4.0 promises the next revolution for manufacturing. In this presentation you will have an overview on how AWS Cloud helps manufacturers digitally transform in multiple process areas to improve business operations.
Mindsphere: an open cloud-based IoT operating system for IndustryIIoTWorld
The document discusses MindSphere, an open cloud-based IoT operating system from Siemens for connecting industrial assets and extracting insights. It provides:
- An open platform as a service (PaaS) for scalable global IoT connectivity and application development through powerful APIs and tools for analytics and visualization.
- Plug-and-play connectivity to hardware and a stairway to value creation through responsive, proactive/predictive, and business-enhancing capabilities.
- End-to-end solutions examples including machine performance monitoring, energy monitoring for smart buildings, and digital twins across products, production and asset performance.
From 3D Visualization to Augmented RealityIIoTWorld
The document discusses how augmented reality and 3D visualization can improve work environments and decision making. It describes Bentley Systems' software tools that allow users to create 3D models from photos, view them in virtual reality, and leverage digital twin technologies. This helps asset owners better manage assets across their lifecycle, increase safety and efficiency, and make more informed decisions. The presentation then outlines specific use cases for augmented reality in training, collaboration, and accessing work instructions and concludes with a call for questions.
AR and IIoT Megatrends by Mike Quindazzi, PWCIIoTWorld
The document discusses augmented reality (AR) and its applications in manufacturing and other industries. It provides an overview of AR, including its key features of overlaying virtual objects on the real world to enhance user experience. Examples are given of using AR for remote repair instructions, visualizing consumer products at home, and enhancing navigation with driving directions overlaid on windshields. The document also discusses industry use cases for AR in manufacturing, transportation, customer experience, and investments in AR by sector. It analyzes the potential of AR to improve productivity in areas like manufacturing and maintenance.
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.
Discover here the keynote at the Gartner ITxpo of Helmut Reisinger, CEO at Orange Business Services.
How can you accelerate the convergence of OT and IT teams, systems and data to create new value with IoT- and AI-enabled business processes and products? This session will help you overcome data integration, analytics and connectivity challenges to combat new cybersecurity threats that come from linking your production systems and supply chains via the Internet.
Augmented Reality with ThingWorx and Interconnected with Devices Through AWS IoTAmazon Web Services
This document discusses using augmented reality with ThingWorx and connecting devices through AWS IoT. It describes how IoT data can be ingested into ThingWorx from AWS IoT using a connector. This allows contextualizing the data and creating augmented reality experiences. Demos show using sensor data from devices to create AR experiences for predictive maintenance, design optimization, and service optimization.
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.
Driving workforce enablement through it innovation - Windows & DevicesMicrosoft UK
The document discusses Windows 10 and its focus on security, productivity, and modern IT. Some key points:
- Windows 10 has seen strong momentum since its launch with hundreds of millions of monthly active devices and billions of hours spent on the OS.
- It is designed to accelerate digital transformation by providing more productive experiences and devices, advanced security protection, and being suited for modern IT environments.
- Cyber threats pose material risks to businesses, costing trillions in lost productivity and millions per data breach on average. Windows 10 aims to provide security without compromise across both modern and legacy devices.
- It introduces new deployment options for Windows 10 that can upgrade devices without wiping or reloading, helping to reduce costs.
Edge computing is redefining the cloud computing space. The growing de-emphasis on the cloud’s role in connected environments is expected to lead to smarter and faster autonomous solutions that have the potential to reshape the IoT landscape. Edge computing will transform the IoT landscape into a hyperconnected environment where the restrictions related to latency and computation capacity will be eliminated. Many companies are transforming their business models to attain edge computing capabilities necessary for offering end to end services.
The recent years have witnessed a number of mergers and acquisitions in the edge computing space for IoT services, with the increase in M&A activities representing the industry’s conundrum of cloud, edge, and hybrid architectures, and the race to achieve a considerable market share.
This report includes an analysis of approximately 60 deals, along with a detailed technology overview and the purpose of the acquisitions. The M&A analysis section offers a comprehensive view of the transactions around edge computing, covering different technology aspects including data center, AI, security, software-defined WAN (SD-WAN), analytics, interoperability, multi-access edge computing (MEC), and others.
To purchase the full report, write to us at info@netscribes.com
The IDC and Equinix Webinar - 2018 - The Year of the Intelligence Ready Digit...Equinix
Equinix, together with IDC, Microsoft and Asia Cloud Computing Association (ACCA), help reveal the usefulness of the intelligent edge and unpack the key criteria and success factors to effectively compete in an era of integrated, dynamic and real-time business models.
Necessity of the Digital Twin and Digital ThreadMarc Lind
As products move to include connectivity, sensors and intelligence many people are working on the infrastructure to support the data streaming back from the field. Big data clouds, data lakes and analytics initiatives have become the focus in many cases. Yet, without accurate context – Digital Twin – time series data generated during production and ongoing operation is difficult or even impossible to understand and analyze. In addition, the ability to interpret and act upon these data often require traceability to prior information from related revisions – Digital Thread. To complicate matters further as artificial intelligence / cognitive computing is introduced the necessity becomes even greater.
Event Report - IBM Think 2021 - There is more than hybrid cloud at IBMHolger Mueller
Constellation Research's Holger Mueller shares his top 4 takeaways from IBM's Think 2021 conference held earlier in May. IBM is adding offerings with AI across the stack, is fastly maturing the quantum software ecosystem and accelerating the monetization of research.
In this presentation Andy considers what was learnt building the EVRYTHNG IoT platform which helps billions of things get smart since 2011. In particular he'll be talking about patterns and anti-patterns, tools and common architectures. Finally, we'll have a glimpse at the future of IoT which will truly transform our businesses: from smart labels to LPWAN and blockchains. Speaker: Andy Hobsbawm, CTO & Co-Founder @ EVRYTHNG
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.
Key Imperatives for the CIO in Digital Age By Lalatendu Das Digital VP, Assoc...Rahul Neel Mani
Ravi Shankar Prasad, India's Minister of Information & Technology, stated that India is on the cusp of a digital revolution. India has the 2nd largest number of internet users in the world, which is growing rapidly. Mobile data prices in India have fallen sharply by 56% per year on average. Initiatives like Jan Dhan bank accounts, Aadhaar digital ID, and the growth of mobile are ushering in a more paperless era. Rapid digitization can unlock substantial value for organizations through improvements in areas like customer satisfaction, stock performance, and operating income. However, most organizations are not ready for the speed and flexibility required to become digital leaders.
Gartner Top 10 Strategy Technology Trends 2018Den Reymer
The document discusses several emerging technologies that are contributing to the development of an intelligent digital mesh, including blockchain, event-driven models, continuous adaptive risk and trust approaches, digital twins, cloud to edge computing, conversational platforms, immersive experiences, advanced AI techniques, intelligent applications/analytics, and intelligent things. It notes that the interconnected nature of these trends will exponentially increase market disruption and digital business opportunities through the creation of an intelligent digital mesh.
1) 12 Sigma Technologies uses AI trained on a DGX Station to help detect small lung nodules in CT scans faster and more objectively than human radiologists, which could lead to earlier detection of lung cancer.
2) 16 Bit uses GPU-accelerated deep learning on a DGX-1 to assist radiologists in detecting cancers and analyzing medical scans, accurately measuring pediatric bone age in milliseconds.
3) Researchers at MGH and Harvard used a DGX-1 to create an AI model called AUTOMAP that can reconstruct MRI images 100x faster and 5x more accurately than conventional methods.
"Designing Better Machines: Evolution of a cognitive Digital Twin"
Industry 4.0 Meets Industrial Internet of Things Forum at Hannover Messe 2018 with IBM Watson IoT CTO Sky Matthews @blueskyflash @IBMIoT #HM18 #IBM #WatsonIoT
Digital transformation in the manufacturing industryBenji Harrison
The document discusses how digital transformation through technologies like Industry 4.0, IoT, big data, VR/AR, and artificial intelligence can benefit manufacturers. Industry 4.0 uses advanced technologies like smart sensors to increase visibility, minimize costs, and speed up production. IoT networks connect intelligent devices to gather and analyze data for cost control, efficiency, and innovation. Big data and advanced analytics provide insights from historical data to optimize processes. VR/AR technologies improve product design and help workers perform tasks faster and more accurately. Artificial intelligence and analytics help integrate systems for greater speed and scale.
The Global Interconnection Index - Measuring Growth of the Digital EconomyEquinix
Digital is transforming all industries and becoming the growth engine of the global economy. To scale, the building blocks of the digital economy require Interconnection. Interconnection is at the center of today’s key macro trends, including digital trade, urbanization and cybersecurity. Until now, Interconnection, the private exchange of data between companies, has never been quantified or analyzed. By 2020, the Global Interconnection Index predicts Interconnection Bandwidth will outpace the growth of internet traffic by 2X and 6X the volume…and is expected to experience compounding growth year-over-year in all regions, industries and use cases. Download the Global Interconnection Index today - http://eqix.it/SSIndex17
Lo que se viene: ¿Cómo escribirás tu futuro? - Laura VoglinoGeneXus
El mundo de hoy, marcado por las siguientes shifts en tecnología que conviven al mismo tiempo -los datos, la nube y la movilidad, ¿cómo podemos preveer la construcción de una diferenciación sostenible para ofrecer valor durarero en el tiempo? ¿Qué vamos a hacer de este momento como empresas, como individuos, como comunidades?
•Explotar los datos para redefinir su posición en la industria
•Capitalizar en la Nube para la reinvención de un modelo de negocios
•Involucrarse con su ecosistema -socios, desarrolladores y empleados- para lograr una ágil innovación.
AI, Blockchain and Quantum - Moonshoot for the Enterprise !?Thorsten Schroeer
The document discusses emerging digital technologies like AI, blockchain, and quantum computing and their potential applications in manufacturing. It notes that these technologies could completely redefine manufacturing possibilities by enhancing productivity, increasing worker safety, enabling new products, and improving supply chain management. Specific examples are provided of how IBM is applying AI and edge computing for visual inspection, acoustic analytics, and monitoring manufacturing operations. The document concludes by arguing that quantum computing will be a game changer for industries like manufacturing by enabling faster simulations and optimization.
Future Focus: Constructing Unshakeable Stability in Your Manufacturing Supply...Aggregage
The webinar discusses constructing a stable manufacturing supply chain. It begins with an introduction by Jay Black of his background in supply chain and current role at GreyOrange. The webinar then covers how pre-COVID disruptions and the pandemic exposed vulnerabilities in inflexible supply chains. It emphasizes how better data visibility through technologies like AI, IoT, automation and data centralization can create more flexibility. Specific applications discussed include machine management, forecasting, supply chain optimization, and addressing labor shortages through automation of tasks like quality inspection, materials movement and order fulfillment. The webinar aims to provide strategies for building resilience into manufacturing supply chains.
AR and IIoT Megatrends by Mike Quindazzi, PWCIIoTWorld
The document discusses augmented reality (AR) and its applications in manufacturing and other industries. It provides an overview of AR, including its key features of overlaying virtual objects on the real world to enhance user experience. Examples are given of using AR for remote repair instructions, visualizing consumer products at home, and enhancing navigation with driving directions overlaid on windshields. The document also discusses industry use cases for AR in manufacturing, transportation, customer experience, and investments in AR by sector. It analyzes the potential of AR to improve productivity in areas like manufacturing and maintenance.
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.
Discover here the keynote at the Gartner ITxpo of Helmut Reisinger, CEO at Orange Business Services.
How can you accelerate the convergence of OT and IT teams, systems and data to create new value with IoT- and AI-enabled business processes and products? This session will help you overcome data integration, analytics and connectivity challenges to combat new cybersecurity threats that come from linking your production systems and supply chains via the Internet.
Augmented Reality with ThingWorx and Interconnected with Devices Through AWS IoTAmazon Web Services
This document discusses using augmented reality with ThingWorx and connecting devices through AWS IoT. It describes how IoT data can be ingested into ThingWorx from AWS IoT using a connector. This allows contextualizing the data and creating augmented reality experiences. Demos show using sensor data from devices to create AR experiences for predictive maintenance, design optimization, and service optimization.
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.
Driving workforce enablement through it innovation - Windows & DevicesMicrosoft UK
The document discusses Windows 10 and its focus on security, productivity, and modern IT. Some key points:
- Windows 10 has seen strong momentum since its launch with hundreds of millions of monthly active devices and billions of hours spent on the OS.
- It is designed to accelerate digital transformation by providing more productive experiences and devices, advanced security protection, and being suited for modern IT environments.
- Cyber threats pose material risks to businesses, costing trillions in lost productivity and millions per data breach on average. Windows 10 aims to provide security without compromise across both modern and legacy devices.
- It introduces new deployment options for Windows 10 that can upgrade devices without wiping or reloading, helping to reduce costs.
Edge computing is redefining the cloud computing space. The growing de-emphasis on the cloud’s role in connected environments is expected to lead to smarter and faster autonomous solutions that have the potential to reshape the IoT landscape. Edge computing will transform the IoT landscape into a hyperconnected environment where the restrictions related to latency and computation capacity will be eliminated. Many companies are transforming their business models to attain edge computing capabilities necessary for offering end to end services.
The recent years have witnessed a number of mergers and acquisitions in the edge computing space for IoT services, with the increase in M&A activities representing the industry’s conundrum of cloud, edge, and hybrid architectures, and the race to achieve a considerable market share.
This report includes an analysis of approximately 60 deals, along with a detailed technology overview and the purpose of the acquisitions. The M&A analysis section offers a comprehensive view of the transactions around edge computing, covering different technology aspects including data center, AI, security, software-defined WAN (SD-WAN), analytics, interoperability, multi-access edge computing (MEC), and others.
To purchase the full report, write to us at info@netscribes.com
The IDC and Equinix Webinar - 2018 - The Year of the Intelligence Ready Digit...Equinix
Equinix, together with IDC, Microsoft and Asia Cloud Computing Association (ACCA), help reveal the usefulness of the intelligent edge and unpack the key criteria and success factors to effectively compete in an era of integrated, dynamic and real-time business models.
Necessity of the Digital Twin and Digital ThreadMarc Lind
As products move to include connectivity, sensors and intelligence many people are working on the infrastructure to support the data streaming back from the field. Big data clouds, data lakes and analytics initiatives have become the focus in many cases. Yet, without accurate context – Digital Twin – time series data generated during production and ongoing operation is difficult or even impossible to understand and analyze. In addition, the ability to interpret and act upon these data often require traceability to prior information from related revisions – Digital Thread. To complicate matters further as artificial intelligence / cognitive computing is introduced the necessity becomes even greater.
Event Report - IBM Think 2021 - There is more than hybrid cloud at IBMHolger Mueller
Constellation Research's Holger Mueller shares his top 4 takeaways from IBM's Think 2021 conference held earlier in May. IBM is adding offerings with AI across the stack, is fastly maturing the quantum software ecosystem and accelerating the monetization of research.
In this presentation Andy considers what was learnt building the EVRYTHNG IoT platform which helps billions of things get smart since 2011. In particular he'll be talking about patterns and anti-patterns, tools and common architectures. Finally, we'll have a glimpse at the future of IoT which will truly transform our businesses: from smart labels to LPWAN and blockchains. Speaker: Andy Hobsbawm, CTO & Co-Founder @ EVRYTHNG
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.
Key Imperatives for the CIO in Digital Age By Lalatendu Das Digital VP, Assoc...Rahul Neel Mani
Ravi Shankar Prasad, India's Minister of Information & Technology, stated that India is on the cusp of a digital revolution. India has the 2nd largest number of internet users in the world, which is growing rapidly. Mobile data prices in India have fallen sharply by 56% per year on average. Initiatives like Jan Dhan bank accounts, Aadhaar digital ID, and the growth of mobile are ushering in a more paperless era. Rapid digitization can unlock substantial value for organizations through improvements in areas like customer satisfaction, stock performance, and operating income. However, most organizations are not ready for the speed and flexibility required to become digital leaders.
Gartner Top 10 Strategy Technology Trends 2018Den Reymer
The document discusses several emerging technologies that are contributing to the development of an intelligent digital mesh, including blockchain, event-driven models, continuous adaptive risk and trust approaches, digital twins, cloud to edge computing, conversational platforms, immersive experiences, advanced AI techniques, intelligent applications/analytics, and intelligent things. It notes that the interconnected nature of these trends will exponentially increase market disruption and digital business opportunities through the creation of an intelligent digital mesh.
1) 12 Sigma Technologies uses AI trained on a DGX Station to help detect small lung nodules in CT scans faster and more objectively than human radiologists, which could lead to earlier detection of lung cancer.
2) 16 Bit uses GPU-accelerated deep learning on a DGX-1 to assist radiologists in detecting cancers and analyzing medical scans, accurately measuring pediatric bone age in milliseconds.
3) Researchers at MGH and Harvard used a DGX-1 to create an AI model called AUTOMAP that can reconstruct MRI images 100x faster and 5x more accurately than conventional methods.
"Designing Better Machines: Evolution of a cognitive Digital Twin"
Industry 4.0 Meets Industrial Internet of Things Forum at Hannover Messe 2018 with IBM Watson IoT CTO Sky Matthews @blueskyflash @IBMIoT #HM18 #IBM #WatsonIoT
Digital transformation in the manufacturing industryBenji Harrison
The document discusses how digital transformation through technologies like Industry 4.0, IoT, big data, VR/AR, and artificial intelligence can benefit manufacturers. Industry 4.0 uses advanced technologies like smart sensors to increase visibility, minimize costs, and speed up production. IoT networks connect intelligent devices to gather and analyze data for cost control, efficiency, and innovation. Big data and advanced analytics provide insights from historical data to optimize processes. VR/AR technologies improve product design and help workers perform tasks faster and more accurately. Artificial intelligence and analytics help integrate systems for greater speed and scale.
The Global Interconnection Index - Measuring Growth of the Digital EconomyEquinix
Digital is transforming all industries and becoming the growth engine of the global economy. To scale, the building blocks of the digital economy require Interconnection. Interconnection is at the center of today’s key macro trends, including digital trade, urbanization and cybersecurity. Until now, Interconnection, the private exchange of data between companies, has never been quantified or analyzed. By 2020, the Global Interconnection Index predicts Interconnection Bandwidth will outpace the growth of internet traffic by 2X and 6X the volume…and is expected to experience compounding growth year-over-year in all regions, industries and use cases. Download the Global Interconnection Index today - http://eqix.it/SSIndex17
Lo que se viene: ¿Cómo escribirás tu futuro? - Laura VoglinoGeneXus
El mundo de hoy, marcado por las siguientes shifts en tecnología que conviven al mismo tiempo -los datos, la nube y la movilidad, ¿cómo podemos preveer la construcción de una diferenciación sostenible para ofrecer valor durarero en el tiempo? ¿Qué vamos a hacer de este momento como empresas, como individuos, como comunidades?
•Explotar los datos para redefinir su posición en la industria
•Capitalizar en la Nube para la reinvención de un modelo de negocios
•Involucrarse con su ecosistema -socios, desarrolladores y empleados- para lograr una ágil innovación.
AI, Blockchain and Quantum - Moonshoot for the Enterprise !?Thorsten Schroeer
The document discusses emerging digital technologies like AI, blockchain, and quantum computing and their potential applications in manufacturing. It notes that these technologies could completely redefine manufacturing possibilities by enhancing productivity, increasing worker safety, enabling new products, and improving supply chain management. Specific examples are provided of how IBM is applying AI and edge computing for visual inspection, acoustic analytics, and monitoring manufacturing operations. The document concludes by arguing that quantum computing will be a game changer for industries like manufacturing by enabling faster simulations and optimization.
Future Focus: Constructing Unshakeable Stability in Your Manufacturing Supply...Aggregage
The webinar discusses constructing a stable manufacturing supply chain. It begins with an introduction by Jay Black of his background in supply chain and current role at GreyOrange. The webinar then covers how pre-COVID disruptions and the pandemic exposed vulnerabilities in inflexible supply chains. It emphasizes how better data visibility through technologies like AI, IoT, automation and data centralization can create more flexibility. Specific applications discussed include machine management, forecasting, supply chain optimization, and addressing labor shortages through automation of tasks like quality inspection, materials movement and order fulfillment. The webinar aims to provide strategies for building resilience into manufacturing supply chains.
Blockchain can improve business processes by functioning as a shared system of record that eliminates the need for reconciling disparate ledgers. Each member has access rights so confidential information is selectively shared. Consensus from all members is required, and validated transactions cannot be deleted, providing an immutable record. The document provides examples of how blockchain could track high-resolution photos and product details for diamonds throughout the supply chain and maintain real-time payment records.
The document discusses how AWS can help manufacturers with their digital transformation and Industry 4.0 initiatives. It outlines how AWS enables smart factories and smart products through connectivity, sensors, cloud computing, analytics and AI. This allows for increased efficiency, data-driven decision making, and products that improve over time. The document also provides an example of how AWS technologies like IoT, machine learning and analytics can help optimize manufacturing operations and meet business goals. Finally, it presents an AWS reference architecture for integrating manufacturing systems with the cloud.
Hi held this presentation May 19th in Barcelona at the annual conference from CSCMP.org. I share IBM's journey in supply chain from transparency to analytics to cognitive.
IBM in Surveillance: Solutions that Deliver InnovationPaula Koziol
Video surveillance has a growing significance as organizations seek to safeguard their physical and capital assets. Simultaneously, the requirement to detect more places, people, and things together with a desire to draw out more useful information from video data is rousing new demands for capacities, capabilities, and scalability. IBM Storage offers a broad spectrum of offerings which are ideally suited to help organizations store, manage and secure increasingly large volumes of video surveillance footage. Hear about the evolving DVS space and how IBM Storage offerings -- such as FlashSystem, Storwize Family, Elastic Storage Server, Spectrum Scale and Spectrum Archive -- can deliver higher value for digital video surveillance solutions.
L'evoluzione M2M nell'era di Industria 4.0FaberLab
Le slide presentate da Cristina Ravaioli (Chanel Manager Inudstrial-Iot Advantech) durante il workshop "Connettere la fabbrica: le applicazioni di industria 4.0”, giovedì 12 aprile 2018, rganizzato da Faberlab il Digital Innovation Hub di Confartigianato Imprese Varese nell'ambito delle iniziative dedicate a Industria 4.0.
Vertex perspectives ai optimized chipsets (part i)Yanai Oron
Businesses are increasingly adopting AI to create new applications to transform existing operations, driving big data with the growth of IoT and 5G networks and increasing future process complexities for human operators. In this new environment, AI will be needed to write algorithms dynamically to automate the entire programming process. Fortunately, algorithms associated with deep learning are able to achieve enhanced performance with increasing data, unlike the rest associated with machine learning.
Vertex Perspectives | AI-optimized Chipsets | Part IVertex Holdings
Businesses are increasingly adopting AI to create new applications to transform existing operations, driving big data with the growth of IoT and 5G networks and increasing future process complexities for human operators. In this new environment, AI will be needed to write algorithms dynamically to automate the entire programming process. Fortunately, algorithms associated with deep learning are able to achieve enhanced performance with increasing data, unlike the rest associated with machine learning. To date, deep learning technology has primarily been a software play. Existing processors were not originally designed for these new applications. Hence the need to develop AI-optimized hardware.
Overcoming the AIoT Obstacles through Smart Component IntegrationInnodisk Corporation
Enterprises in every industry are gearing up for AI’s integration with IoT at the edge. Analytics and cloud-based applications are crucial foundations for the AIoT infrastructure. But even more importantly, AIoT requires complete, real-time access to the data in fulfill the needs of highly responsive edge computing applications.
In our experience, many customers are facing the same difficulties with regards to cyber level and physical level device integration in the new AI era. As the world's leading industrial storage and memory provider, Innodisk has a solid track record with more than 2000 customers, and expertise built on more than a decade of integration of hardware, firmware and software solutions.
Attend this webinar to learn about:
- Preparing your business for the new Internet of Things (IoT) an AI era
- How do we Overcome the Current Architectural Issues?
- Increasing process efficiency and delivering a better customer experience
- Facilitating new platforms that enable rapid development of next generation intelligent IoT systems
- Trends and technology in AIoT intelligent storage/ data optimization
Enhancing IT Operations Analytics with IBM i Machine and Log DataPrecisely
IBM i systems power mission-critical applications around the world. Without integrating the vast amount of machine data generated from these critical systems into your IT Operations Analytics platform, your losing the opportunity to maximize your ITOA investment while gaining valuable operational insights.
Watch this in-demand webinar to learn how to improve the availability of critical services and reduce burden on IT staff by easily integrating disconnected IBM i systems in your ITOA environment.
Data warehouse modernization programme by TOBY WOOLFE at Big Data Spain 2014Big Data Spain
General Motors (GM) is in the process of constructing a single global information warehouse that will become the foundation for all business analytics and decision support across the enterprise.
This document describes how Gilard Electronics Pvt. Ltd., an Indian electronics manufacturer, infused modern technology like digitization and IoT to improve competitiveness. It details how Gilard implemented an ERP system in 1987 to digitize operations like production planning and inventory control. In 2015, Gilard upgraded to newer ERP technologies and added IoT sensors to digitally monitor and control manufacturing processes. Now Gilard's entire operations from new product development to sales and finance are digitized and integrated on a central database for real-time access and decision making. The digitization helps Gilard improve quality, productivity, efficiency and reduce costs to better compete in a challenging market.
Intellect’s Global Transaction Banking is powered by composable, contextual and hyperscale Technology that enables leading financial institutions to transform their digital journeys by providing NextGen experiences. Deep dive into our wide range of offerings - DTB, LMS, CBX, PSH and TSC that are changing the way the world banks.
Ahead of the Curve: Digital Reinvention in Electronics with Intelligent IoTChristophe Begue
Among the electronics firms currently employing AI and IoT, a group of Reinventors is leveraging these technologies in a particularly transformative and visionary way. Understanding the commonalities between these firms is crucial in this era of fast-paced change for electronics, as industry boundaries blur, and rich ecosystems develop around newly available data sources. A fundamental step towards success in this age of Digital Reinvention is the development of an appropriate hybrid cloud strategy, to support advanced applications of AI and IoT.
This document discusses how IoT will support digital supply chains. It provides IoT outlook statistics showing strong growth expected. The top 10 IoT use cases are identified, with predictive maintenance and self-optimizing production being most important. Survey results are presented on current and future digital transformation progress, with IoT and big data analytics being most widely used. Improved inventory management is viewed as the top IoT benefit. Establishing an IoT platform is discussed along with blockchain applications for supply chain areas like perishable goods monitoring and conflict minerals traceability.
How IoT Will Support Tomorrow's Digital Supply ChainSCL HUB
The document discusses how the Internet of Things (IoT) will support future digital supply chains. It provides the following key points:
1) IoT is expected to grow significantly in the coming years, with connected devices growing to 20 billion by 2020 and IoT's global worth surpassing $1 trillion by 2025.
2) IoT will transform supply chain operations through technologies like predictive maintenance, automated inventory management, and track and trace capabilities.
3) A survey found that companies believe IoT's biggest benefits will be improved inventory management and increased supply chain visibility.
Similar to Operating IBM Cognitive Supply Chain with AI, IoT, Cloud, Blockchain and Quantum (20)
IBM @ Valletta Tech Conference - IoT and beyond April 2022Thorsten Schroeer
Thorsten Schroeer and Lukas Steiner from IBM gave a presentation on Internet of Things (IoT) in the context of hybrid cloud and artificial intelligence. They discussed key IoT building blocks like sensors, gateways, and networks. They also explained how AI and edge computing are combined with IoT (AIoT) and hybrid multi-cloud platforms. Examples were given of how IBM has helped customers implement IoT solutions for infrastructure monitoring, predictive maintenance, and new business models. Quantum computing was briefly introduced as the next frontier after IoT.
Cloud, AI and Quantum in Mobility - IBM Thorsten SchroeerThorsten Schroeer
Hybrid cloud, AI, and quantum computing will be game changers for future mobility and autonomous driving. These technologies can help optimize logistics, utilization of production lines, and AI models for self-driving cars. Quantum computing shows promise for materials simulation, battery design, and other mobility applications. Companies should start strategizing for quantum computing now as patents are being filed and talent is scarce. IBM is working on accelerating applications of AI and autonomous driving with quantum computing through publicly funded projects.
IBM @ Connected Manufacturing Leadership Summit Berlin Jan 2020Thorsten Schroeer
I held this presentation in front of about a 200 audience on Jan 29th 2020 in Berlin at the annual Connected Manufacturing Leadership Summit in Berlin. I gave a deep insight on how IBM leverages AI within its own Supply Chain Operations and an outlook what will come in next 5 years.
IBM on AI in Manufacturing @ 2nd Smart Manufacturing Forum BerlinThorsten Schroeer
I gave this keynote on June 12th at the 2nd smart manufacturing forum in Berlin addressing a crowd manufacturing OEMs driving excellence on the plants.
Applying Artificial Intelligence in the Manufacturing World œ Future factory ...Thorsten Schroeer
I gave this presentation in May 2018 the the Future of Factory Conference organized by Bank of America. Audience have been key investors in the industrial industry domain.
IBM Watson and TJBot @ CSCMP Europe Conference RotterdamThorsten Schroeer
I gave this presentation mid may 2018 at the annual CSCMP Europe conference in Rotterdam in front of a crowd of supply chain professionals. The presentation included also various demos with a TJ Bot robot and various web client demos on the use of Watson.
Say Hello to Watson on the Shopfloor - AI and Cognitive Manufacturing in ActionThorsten Schroeer
I gave this presentation at the chamber of commerce in luxemburg for the cluster of logistics in november 2017. Key themes are #ai #cognitive #watson #iot #manufacturing #supply chain #robotics
The Future of the IoT will be cognitive - IBM Point of ViewThorsten Schroeer
I gave this presentation at the 2nd Lake Constance Supplier Dialogue in October 2017 in Friedriechshafen/Germany as part of the German Purchasing Association.
Say "Hello" to Watson on the shop floor @ M2M Summit CologneThorsten Schroeer
Hi held this presentation at the M2M Summit in Cologne Lanxess Arena on October 11th. It is about the use of AI, cognitive, Watson in the manufacturing domain.
Hannover Fare 2017 IBM - Hello Watson on the shop floorThorsten Schroeer
Thorsten Schröer discussed how cognitive computing using IBM Watson IoT can transform shopfloor operations. He explained that most industrial data is currently unused and cognitive technologies can help visualize patterns in this "dark data" to advance analytics. IBM Watson IoT is working on cognitive advisors that can assist with equipment, workers, quality control, supply chain disruptions, and problem resolution. The goal is for cognitive technologies to enhance manufacturing operations through logical steps that create value from IoT data.
Artificial intelligence in supply chain and manufacturing - An IBM case study...Thorsten Schroeer
This document discusses how IBM is using artificial intelligence and cognitive computing to transform supply chain management. It provides examples of how IBM Watson is helping optimize supply chain operations through predictive analytics, machine learning, and cognitive advising. The presentation outlines IBM's journey from implementing transparent supply chain processes to developing a cognitive supply chain that augments decisions making using real-time data and insights.
The document discusses how the future of the Internet of Things (IoT) will be cognitive. It notes that cognitive capabilities like artificial intelligence, machine learning, and deep learning are driving new capabilities. By 2025, annually 1 Bronto Byte of data will be created, but currently 80% of data is "dark." The rise of cognitive systems means they can understand text, images, and speech with context; reason and interpret information; and continuously learn from every interaction. Examples are given of how cognitive systems can be applied in retail, sales/marketing, manufacturing, equipment maintenance, quality control, and automotive to augment human performance.
1. The document discusses IBM's strategy around cognitive manufacturing and the Industrial Internet of Things (IIoT).
2. It describes IBM's Watson IoT platform, which collects data from devices, enables edge analytics, and provides analytics and cognitive capabilities to help manufacturers predict needs, improve decision making, and gain competitive advantages.
3. Examples are given of how IBM has helped manufacturers increase productivity, reduce costs, and improve quality through applying cognitive technologies like predictive analytics, machine learning and natural language processing to manufacturing data.
M2M Summit 2016 - IBM Presentation Cognitive ManufacturingThorsten Schroeer
1) Cognitive technologies such as machine learning and natural language processing can help manufacturing and supply chains by understanding large amounts of data, reasoning about that data, and continuously learning from new information.
2) IBM is working on several cognitive projects for manufacturing including a cognitive quality advisor, supply chain disruptions advisor, and cognitive resolution rooms advisor. John Deere is also working on cognitive technology at its factory in Mannheim.
3) Cognitive technologies like visual inspection systems can help manufacturers by reusing past trained algorithms to handle variations, developing new analytics to handle new cases, and continuously learning and improving algorithms from large data sets.
Cognitive era in global electronics industry public versionThorsten Schroeer
The document discusses the rise of cognitive technology and the Internet of Things (IoT) in industrial sectors. It describes IBM's Watson IoT platform, which connects devices, manages networks and gateways, integrates information from various sources, and performs real-time, predictive and cognitive analytics. The platform helps industries transform by enabling value across manufacturing, sales, customer experience, warranty/repair, and product development. Examples are provided of how cognitive solutions from IBM are being used by companies like Siemens, KONE, MIELE, and others in applications like digital buildings, elevator maintenance, recipe suggestions, and more.
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Operating IBM Cognitive Supply Chain with AI, IoT, Cloud, Blockchain and Quantum
1. Operating IBM Cognitive
Supply Chain with AI, IoT,
Cloud, Blockchain and
Quantum
Thorsten Schröer
IBM Industrial Sector
June 11th. 2021
2. Let’s start a poll
Cross industries, what do
you think is the single one
key technology driving
revenue shifts during
COVID-19?
3.
4. 4
Business segment revenue 2020 in million USD
Hybrid Cloud & AI
Company
IBM Corporation
Cloud and Cognitive Software
Global Business Service
Global Technology Services
Systems
Global Financing
Other
23,376
16,162
25,812
6.978
1,123
169
Total revenue
73,620
CEO
Arvind Krishna
5. IBMs Supply Chain has been… and is now systems and parts
System x
Printers
Harddisk
Semiconductor
PC & Laptop
Retail Store Mainframe / Z
Tape Library Software
Storage Disk
Power
10. “In our supply chain we are leveraging AI, Blockchain and
IoT Technology to drive faster and smarter decisions with
our suppliers.
This makes our supply chain more flexible and resilient.‘’
Jim Cavenaugh, IBM CFO
April 2020 Analyst Meeting
21. IBM Systems Manufacturing Use Cases with AI and Edge
Finished Production Inspection
Incoming Parts
Inspection
MFG Operation Monitoring
Test Operation Monitoring
IBM Confidential
21
23. Our Transformation enabled
us to operate our supply
chain during the Pandemic -
better than our competitors.
Inventory
Cash Management
Supplier Management
Total Cost
Client Satisfaction
Revenue
24. Artificial Intelligence (AI) in Supply
Chain: Threat or the game changer?
Manufacturing Leadership
Awards
High Tech Supply
Chaininovator Award
25. Whats helped us to succeed?
Strong culture of innovation
Skills & Talent
Data & Technology
Method, Tools and Accelarators
(e.g. AI Design Thinking &
Garage)
31. Hybrid Cloud & Edge
Ensures infrastructure is
in the right place, and the
right data is always
available
Blockchain
Drives security,
provenance, multi-
enterprise visibility and
info sharing
Artificial Intelligence
Makes supply chains self-
learning and adaptive
In Summary
Quantum
Solves Problems that could
not be solved previously