In this report we present our vision of making the European Mittelstand Digital Industry pioneers. We describe the possible outcomes of the current digitalization of manufacturing, Europe's preparedness in both cases, how digitalization will change manufacturing and what Actyx is doing to make our vision a reality.
Digitalization is disrupting traditional European industries like manufacturing. The highly successful Mittelstand manufacturing sector that has driven German and European economic success is now under threat from digitalization. However, digitalization also provides opportunities to increase operational efficiency in the short term and enable new business models in the long term. Exploiting these opportunities requires understanding disruptive innovation, developing interdisciplinary digital talent, and managing organizational change. Actyx helps manufacturers develop digital transformation strategies through cooperative innovation projects.
Presentation of Digital Catapult's personal data activities in relation to Industry 4.0, digital transformation and advanced manufacturing actions, as presented by Digital Catapult's Michele Nati, Lead Technologist of Personal Data and Trust.
MIDIH is a 36-month, €8.5M project coordinated by EIT Digital to establish a network of digital innovation hubs across Europe to support manufacturers, especially SMEs, in their adoption of Industry 4.0 technologies. The project aims to provide open digital platforms, technological and business services, and skills training to help European manufacturers digitize their operations and remain competitive globally. MIDIH will launch two open calls offering up to €60K in funding per project for experiments utilizing its reference architecture and involving smart factory, product, and supply chain scenarios. The first call will run from March-June 2018 with funding decisions in July 2018.
MongoDB IoT City Tour STUTTGART: Industrial Internet, Industry 4.0, Smart Fac...MongoDB
Presented by, Dirk Slama, Business Development Director at Bosch SI
Industrial Internet, Smart Factory, Industry 4.0 – all of these concepts are promising to transform the current industrial landscape by leveraging the IoT. In this presentation, Bosch, TechMahindra and MongoDB will present a concrete example that goes from concept to implementation. Learn how advanced handheld tightening tools, user ID cards, wireless indoor localisation technology, M2M asset management and big data can be combined to form a powerful track and trace solution for advanced manufacturing requirements.
The MIDIH project aims to provide opportunities for SMEs in manufacturing through digital innovation hubs and reference architectures. It has a budget of over 8 million Euros from the EU and involves partners across Europe. The project focuses on developing edge computing, interoperability, data solutions, and experiments in areas like smart factories, products, and supply chains. It recently opened a call for proposals worth 960,000 Euros for SMEs to conduct technological or experimental projects using the MIDIH reference architecture.
How the Digital Transformation is going to change the world of Work 4.0 with respect to the Introduction of Industry 4.0 technology. Will Jobs reduce or we will have more jobs with higher pay. An interesting analysis.
The convergence of integrated software, efficient hardware and modern networking infrastructure has created a new technology environment. Industry 4.0 sits at the convergence of these technologies and enables many industries that we actively track. Catalyst Investors’ history in software and TMT is quite relevant to Industry 4.0. We are excited to meet and partner with growth stage companies that are built as Industry 4.0 solutions from the ground up, as well as existing service businesses that can adopt Industry 4.0 technologies as an evolution.
Digitalization is disrupting traditional European industries like manufacturing. The highly successful Mittelstand manufacturing sector that has driven German and European economic success is now under threat from digitalization. However, digitalization also provides opportunities to increase operational efficiency in the short term and enable new business models in the long term. Exploiting these opportunities requires understanding disruptive innovation, developing interdisciplinary digital talent, and managing organizational change. Actyx helps manufacturers develop digital transformation strategies through cooperative innovation projects.
Presentation of Digital Catapult's personal data activities in relation to Industry 4.0, digital transformation and advanced manufacturing actions, as presented by Digital Catapult's Michele Nati, Lead Technologist of Personal Data and Trust.
MIDIH is a 36-month, €8.5M project coordinated by EIT Digital to establish a network of digital innovation hubs across Europe to support manufacturers, especially SMEs, in their adoption of Industry 4.0 technologies. The project aims to provide open digital platforms, technological and business services, and skills training to help European manufacturers digitize their operations and remain competitive globally. MIDIH will launch two open calls offering up to €60K in funding per project for experiments utilizing its reference architecture and involving smart factory, product, and supply chain scenarios. The first call will run from March-June 2018 with funding decisions in July 2018.
MongoDB IoT City Tour STUTTGART: Industrial Internet, Industry 4.0, Smart Fac...MongoDB
Presented by, Dirk Slama, Business Development Director at Bosch SI
Industrial Internet, Smart Factory, Industry 4.0 – all of these concepts are promising to transform the current industrial landscape by leveraging the IoT. In this presentation, Bosch, TechMahindra and MongoDB will present a concrete example that goes from concept to implementation. Learn how advanced handheld tightening tools, user ID cards, wireless indoor localisation technology, M2M asset management and big data can be combined to form a powerful track and trace solution for advanced manufacturing requirements.
The MIDIH project aims to provide opportunities for SMEs in manufacturing through digital innovation hubs and reference architectures. It has a budget of over 8 million Euros from the EU and involves partners across Europe. The project focuses on developing edge computing, interoperability, data solutions, and experiments in areas like smart factories, products, and supply chains. It recently opened a call for proposals worth 960,000 Euros for SMEs to conduct technological or experimental projects using the MIDIH reference architecture.
How the Digital Transformation is going to change the world of Work 4.0 with respect to the Introduction of Industry 4.0 technology. Will Jobs reduce or we will have more jobs with higher pay. An interesting analysis.
The convergence of integrated software, efficient hardware and modern networking infrastructure has created a new technology environment. Industry 4.0 sits at the convergence of these technologies and enables many industries that we actively track. Catalyst Investors’ history in software and TMT is quite relevant to Industry 4.0. We are excited to meet and partner with growth stage companies that are built as Industry 4.0 solutions from the ground up, as well as existing service businesses that can adopt Industry 4.0 technologies as an evolution.
PROSTEP experts describe the challenges posed by Industry 4.0 when it comes to PLM processes and systems. This whitepaper gives you possible approaches for mastering these challenges.
Industry 4.0 provides an integrated perspective in a digitized setting wherein cyber and physical world views are integrated. It also provides an opportunity to make manufacturing smart, sustainable .and long term basis.
The workshop "Platforms for connected Factories of the Future" took place on 5 and 6 of October 2015 in Brussels. Main objective on the first workshop day was to give an overview on existing activities in industries and research regarding platforms for the manufacturing area.
The document discusses Industry 4.0 and its impacts on production management. Industry 4.0 refers to the increasing digitization and connectivity of manufacturing through technologies like the Internet of Things. This fourth industrial revolution will allow for greater integration of humans, machines, and data across manufacturing supply chains. The document outlines several trends driving Industry 4.0 like advanced sensors, cloud computing, and big data analytics. German industry is well positioned to benefit from Industry 4.0 due to existing strengths in manufacturing, though continued investment and cooperation will be needed to capture opportunities from new digital business models.
Digital Transformation in the Manufacturing sectorArun Natarajan
Traditionally, manufacturers have been slow to adopt digital transformation, despite the sector holding great potential for digital outcomes. However, digital transformation is gaining momentum in the manufacturing sector, as seen with companies like GE aggressively pursuing digital opportunities. Digital transformation offers manufacturers possibilities to reimagine business models, recast value chains, enhance customer engagement, digitally enhance products, and optimize operations. These possibilities extend to the factory floor with Industry 4.0 initiatives. If exploited fully, digital transformation could disrupt and transform the industrial landscape.
The document discusses a presentation on Industrie 4.0 given by Matthias Barbian in June 2016. The presentation covers an overview of Industrie 4.0, digitalization, standards and norms, smart factories, and disruptive business models. It also discusses realizing a smart factory, components, implementation for small and medium businesses, and IT security considerations like cloud security and data usage. Finally, the presentation addresses disruptive business models through individualized low-cost production, sustainability through resource optimization and closed-loop production, and Germany-China cooperation on finding the right Industrie 4.0 partners.
1. The document analyzes six families of IoT use cases that impact business outcomes based on the company Flutura's analysis of data from various markets over 24 months.
2. The six families are: generating new revenue streams, reducing energy consumption, reducing asset downtime, lowering defect rates in manufacturing, improving security, and enabling pricing innovations.
3. Examples are provided for each category, such as monitoring oil wells as a service, reducing fleet fuel consumption through sensor data analysis, and dynamic pricing of leased assets using usage statistics.
Kai Salminen - Industry 4.0 – Open your mind to ”Robot Revolution” and relate...Mindtrek
Kai Salminen at Mindtrek 2016. Industry 4.0 – Open your mind to ”Robot Revolution” and related new Business Models. Smart System driven transformation for growth
within EU, Japan and US and related Business Intelligence development for new cognitive factory and business models.
ITIF Senior Analyst Stephen Ezell presented on the future of advanced manufacturing at the AAAS annual conference. His presentation argued for the correct policies to support a robust advanced manufacturing climate in the United States.
This document discusses how smart manufacturing and artificial intelligence of things (AIoT) can help drive digital transformation. It provides examples of how IoT solutions have helped various companies reduce costs and improve operations. It then discusses key concepts in smart manufacturing like the intelligent edge, cloud computing, and different waves of innovation with IoT, edge, and AI. The document outlines Microsoft's IoT portfolio and reference architecture for smart manufacturing. It also describes various Azure IoT capabilities and solutions like IoT Hub, IoT Edge, Time Series Insights, and preconfigured solutions for predictive maintenance, remote monitoring and connected factories. Finally, it discusses how machine learning can address supply chain optimization, predictive maintenance, anomaly detection, production scheduling and demand
This document discusses the future of industry and robotics in Europe. It outlines the progression from Industry 1.0 through 4.0, highlighting key developments such as the first industrial robot in 1961. The document notes that 178,000 robots were shipped globally in 2013, with over 1.3 million in industrial use. It introduces collaborative robots that can work directly with humans. Examples of collaborative robots like Universal Robots, KUKA, and ABB models are provided. The European Commission has funded over €700 million for robotics innovation through 2020 to support developments towards Industry 4.0.
Industry 4.0 – lessons from large and small firmsShaun West
Key note presented at the Konferenz Perspektiven mit Industrie 4.0 ZHAW, Winterthur, 6 September 2017.
The paper described real examples of digital solutions from large and small firms. It closes with the Data-to-Action model that has been developed by Shaun West, Petra Müeller-Csernetzky and Mario Rapaccini.
The Fourth Industrial Revolution is here. Smart Factories are here. Smart Production systems are here.
Does it mean that jobs will reduce or will there be an increase in jobs.
Are we going towards a Knowledge economy.
Will technology become complex or will it become easy for a layman to understand.
Will working in a tech intensive factory become easy or will it become complex.
Digital Transformation. Examples from Automotive IndustryBoost40
This document discusses digital transformation in the automotive industry through virtual engineering examples. It provides an overview of ESI Group, a provider of virtual prototyping solutions, and its value proposition of supporting digital transformation through a "hybrid twin" approach. This enables virtual testing of products from concept through in-service use to predict performance over the entire lifecycle. Examples discussed include using virtual manufacturing and a hybrid twin for cabin pre-conditioning optimization in electric vehicles. The document concludes that digital transformation driven by new technologies will be disruptive by enabling upfront predictive decisions for product performance over the entire lifecycle.
An introduction to Industrie 4.0(Internet of Things), and its Potential impact on Supply Chain. Industrie 4.0, touted as the Game changer and a seed for next industrial revolution. Funded by German Bundes Ministerium fur Education & Technologie.
Open Innovation for the Digital Shift - A collection of case studies in the I...Alberto Minin
This document discusses open innovation case studies of companies implementing open innovation strategies. It profiles Primo1D, a startup spun off from a research center to commercialize an electronic thread technology. Primo1D uses open innovation models like licensing the technology, collaborating with customers on product development, and outsourcing R&D. The document outlines Primo1D's technology, product applications, ecosystem partners, industrialization plan, and how it engaged in a push-pull process of technology development and market identification.
This document discusses the industrial internet and Internet of Things (IoT), and the business opportunities they present. It provides definitions of these concepts and explains that industrial internet involves systematically applying sensor, communication, and data analysis technologies to improve productivity and create new business. It notes that major industry leaders like Cisco and GE see the industrial internet driving trillions in economic value through increased productivity, optimized asset utilization, and new business models. The document also outlines some of the challenges in realizing this potential, as well as examples of business models and technology solutions that can help companies benefit from the industrial internet.
PROSTEP experts describe the challenges posed by Industry 4.0 when it comes to PLM processes and systems. This whitepaper gives you possible approaches for mastering these challenges.
Industry 4.0 provides an integrated perspective in a digitized setting wherein cyber and physical world views are integrated. It also provides an opportunity to make manufacturing smart, sustainable .and long term basis.
The workshop "Platforms for connected Factories of the Future" took place on 5 and 6 of October 2015 in Brussels. Main objective on the first workshop day was to give an overview on existing activities in industries and research regarding platforms for the manufacturing area.
The document discusses Industry 4.0 and its impacts on production management. Industry 4.0 refers to the increasing digitization and connectivity of manufacturing through technologies like the Internet of Things. This fourth industrial revolution will allow for greater integration of humans, machines, and data across manufacturing supply chains. The document outlines several trends driving Industry 4.0 like advanced sensors, cloud computing, and big data analytics. German industry is well positioned to benefit from Industry 4.0 due to existing strengths in manufacturing, though continued investment and cooperation will be needed to capture opportunities from new digital business models.
Digital Transformation in the Manufacturing sectorArun Natarajan
Traditionally, manufacturers have been slow to adopt digital transformation, despite the sector holding great potential for digital outcomes. However, digital transformation is gaining momentum in the manufacturing sector, as seen with companies like GE aggressively pursuing digital opportunities. Digital transformation offers manufacturers possibilities to reimagine business models, recast value chains, enhance customer engagement, digitally enhance products, and optimize operations. These possibilities extend to the factory floor with Industry 4.0 initiatives. If exploited fully, digital transformation could disrupt and transform the industrial landscape.
The document discusses a presentation on Industrie 4.0 given by Matthias Barbian in June 2016. The presentation covers an overview of Industrie 4.0, digitalization, standards and norms, smart factories, and disruptive business models. It also discusses realizing a smart factory, components, implementation for small and medium businesses, and IT security considerations like cloud security and data usage. Finally, the presentation addresses disruptive business models through individualized low-cost production, sustainability through resource optimization and closed-loop production, and Germany-China cooperation on finding the right Industrie 4.0 partners.
1. The document analyzes six families of IoT use cases that impact business outcomes based on the company Flutura's analysis of data from various markets over 24 months.
2. The six families are: generating new revenue streams, reducing energy consumption, reducing asset downtime, lowering defect rates in manufacturing, improving security, and enabling pricing innovations.
3. Examples are provided for each category, such as monitoring oil wells as a service, reducing fleet fuel consumption through sensor data analysis, and dynamic pricing of leased assets using usage statistics.
Kai Salminen - Industry 4.0 – Open your mind to ”Robot Revolution” and relate...Mindtrek
Kai Salminen at Mindtrek 2016. Industry 4.0 – Open your mind to ”Robot Revolution” and related new Business Models. Smart System driven transformation for growth
within EU, Japan and US and related Business Intelligence development for new cognitive factory and business models.
ITIF Senior Analyst Stephen Ezell presented on the future of advanced manufacturing at the AAAS annual conference. His presentation argued for the correct policies to support a robust advanced manufacturing climate in the United States.
This document discusses how smart manufacturing and artificial intelligence of things (AIoT) can help drive digital transformation. It provides examples of how IoT solutions have helped various companies reduce costs and improve operations. It then discusses key concepts in smart manufacturing like the intelligent edge, cloud computing, and different waves of innovation with IoT, edge, and AI. The document outlines Microsoft's IoT portfolio and reference architecture for smart manufacturing. It also describes various Azure IoT capabilities and solutions like IoT Hub, IoT Edge, Time Series Insights, and preconfigured solutions for predictive maintenance, remote monitoring and connected factories. Finally, it discusses how machine learning can address supply chain optimization, predictive maintenance, anomaly detection, production scheduling and demand
This document discusses the future of industry and robotics in Europe. It outlines the progression from Industry 1.0 through 4.0, highlighting key developments such as the first industrial robot in 1961. The document notes that 178,000 robots were shipped globally in 2013, with over 1.3 million in industrial use. It introduces collaborative robots that can work directly with humans. Examples of collaborative robots like Universal Robots, KUKA, and ABB models are provided. The European Commission has funded over €700 million for robotics innovation through 2020 to support developments towards Industry 4.0.
Industry 4.0 – lessons from large and small firmsShaun West
Key note presented at the Konferenz Perspektiven mit Industrie 4.0 ZHAW, Winterthur, 6 September 2017.
The paper described real examples of digital solutions from large and small firms. It closes with the Data-to-Action model that has been developed by Shaun West, Petra Müeller-Csernetzky and Mario Rapaccini.
The Fourth Industrial Revolution is here. Smart Factories are here. Smart Production systems are here.
Does it mean that jobs will reduce or will there be an increase in jobs.
Are we going towards a Knowledge economy.
Will technology become complex or will it become easy for a layman to understand.
Will working in a tech intensive factory become easy or will it become complex.
Digital Transformation. Examples from Automotive IndustryBoost40
This document discusses digital transformation in the automotive industry through virtual engineering examples. It provides an overview of ESI Group, a provider of virtual prototyping solutions, and its value proposition of supporting digital transformation through a "hybrid twin" approach. This enables virtual testing of products from concept through in-service use to predict performance over the entire lifecycle. Examples discussed include using virtual manufacturing and a hybrid twin for cabin pre-conditioning optimization in electric vehicles. The document concludes that digital transformation driven by new technologies will be disruptive by enabling upfront predictive decisions for product performance over the entire lifecycle.
An introduction to Industrie 4.0(Internet of Things), and its Potential impact on Supply Chain. Industrie 4.0, touted as the Game changer and a seed for next industrial revolution. Funded by German Bundes Ministerium fur Education & Technologie.
Open Innovation for the Digital Shift - A collection of case studies in the I...Alberto Minin
This document discusses open innovation case studies of companies implementing open innovation strategies. It profiles Primo1D, a startup spun off from a research center to commercialize an electronic thread technology. Primo1D uses open innovation models like licensing the technology, collaborating with customers on product development, and outsourcing R&D. The document outlines Primo1D's technology, product applications, ecosystem partners, industrialization plan, and how it engaged in a push-pull process of technology development and market identification.
This document discusses the industrial internet and Internet of Things (IoT), and the business opportunities they present. It provides definitions of these concepts and explains that industrial internet involves systematically applying sensor, communication, and data analysis technologies to improve productivity and create new business. It notes that major industry leaders like Cisco and GE see the industrial internet driving trillions in economic value through increased productivity, optimized asset utilization, and new business models. The document also outlines some of the challenges in realizing this potential, as well as examples of business models and technology solutions that can help companies benefit from the industrial internet.
This document discusses how the Dutch manufacturing industry can remain competitive in the future through the adoption of smart industry approaches enabled by new technologies. It notes that the manufacturing industry has declined in Europe in the last decade but remains important for the Dutch economy, accounting for 13% of GDP. It then outlines several smart industry concepts including network-centric production driven by information and new technologies like the Internet of Things. The document proposes a smart industry agenda for the Netherlands with initiatives in new business models, knowledge development, skills training, and supportive policies to help Dutch industry strengthen competitive positions through smart industry approaches.
1. The document discusses the evolution of industrial revolutions and the emergence of Industry 4.0 and the Internet of Things (IoT).
2. Key components of IoT include sensors, connectivity, device management, platforms, applications, and mobile access.
3. IoT is transforming business by enabling new data-driven and customer-oriented business models through technologies like cloud computing and big data analytics.
(1) Haihua Li presented on the Industrial Internet and relevant standardization activities.
(2) The presentation covered the basic concepts, origins, architectures, key directions, development, and standardization of the Industrial Internet.
(3) Key topics included the Industrial Internet Consortium (IIC) reference architecture, Germany's Industrie 4.0 reference model, and China's architecture for the Industrial Internet.
Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...WMG, University of Warwick
Sophie Peachey, Director of Innovation & Insight at Axillium Research Ltd discusses a new funding opportunity through the Advanced Manufacturing Supply Chain Initiative in the area of the Internet of Things.
IGNITE 2015 Valentijn de Leeuw - Industry 4.0: The industrial Internet of ThingsElemica
Valentijn de Leeuw, VP at ARC Advisory Group, presents an overview of the major IIoT-related trends, global initiatives, related technologies and more for better understanding how the IIoT fits into supply chain strategies and what benefits companies can derive from this next generation of manufacturing initiatives.
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.
1) The document discusses trends in industry digitization and the 4th Industrial Revolution, including how 5G deployment is accelerating and enabling new opportunities like industrial internet, smart manufacturing, and AI applications.
2) Key technologies discussed include 5G, edge computing, heterogeneous computing architectures, and wireless connectivity solutions to enable flexible manufacturing and industries.
3) Use cases for 5G in manufacturing are presented, focusing on applications in machine vision, logistics automation, robotics, and predictive maintenance to improve production efficiency and reduce costs.
The webinar covers the scope of MIDIH, including the project background, ecosystem of partners, topics for the 1st open call, and architecture/components. The project aims to mobilize €50B of investment in digital technologies over 5 years per the 2016 EC Communication. MIDIH has 23 beneficiaries including competence centers, teaching factories, and digital innovation hubs. The 1st open call will fund up to 16 projects of €60k each in topics like simulation, digital twins, AR/VR, and AI for supply chain optimization. The architecture is aligned with other reference models and includes components for industrial IoT, analytics, and technological services.
Internet of Things Cologne 2015: The Contribution of New Data Storage and Ana...MongoDB
The document summarizes a presentation on how new data storage and analytics strategies can contribute to smart manufacturing and economic growth. It discusses how industrial data constitutes big data and new approaches are needed to handle the velocity, volume, and variety of this data. Predictive analytics and text analytics on structured and unstructured data from IoT sensors and devices can provide insights. Case studies show benefits from asset monitoring, production optimization, and quality improvements. The presentation argues manufacturers should target radical efficiency gains through innovation and establish goals and roadmaps to realize benefits.
Presentation: RETHINKbig, by Consuelo Gonzalo Martin, Universidad Politecnica de Madrid (Spain), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna
A chamada Indústria 4.0 é uma das fronteiras da mudança tecnológica no mundo. A Alemanha é um dos países mais dinâmicos nesse processo. A própria expressão "Indústria 4.0" foi cunhada naquele país, onde ela representa, mais do que palavras, uma estratégia nacional. Para abordar os desafios que a Indústria 4.0 coloca para a Alemanha e também para o Brasil, a Fundação FHC recebe o chefe global de tecnologia e inovação da Siemens, Norbert Luetke-Entrup.
NORBERT LÜTKE-ENTRUP
Mestre e PhD em Física pela Universidade de Bonn (Alemanha) e pela Université Pierre et Marie Curie (Paris), é chefe do Departamento de Tecnologia Corporativa e Gestão da Inovação do Grupo Siemens. Atuou como consultor, líder de projeto e vice-presidente na sede da Siemens Management Consulting (SMC) em Munique, entre 2000 a 2008, e como vice-presidente administrativo do escritório da empresa em Pequim (China).
The addition of AI or Machine Learning to embedded solutions will provide a powerful advance in the implementation of smart systems and support the advances in digitalisation that apply to all industry sectors. This webinar explored the potential impact of the addition of AI or Machine Learning to embedded solutions in the Digital industry.
The document discusses VEDLIoT, a project that aims to develop very efficient deep learning for IoT applications. It focuses on developing a scalable and heterogeneous hardware platform using accelerators like FPGAs and ASICs. The project also aims to optimize deep learning toolchains for IoT use cases in industries like industrial IoT, automotive, and smart homes. An open call was announced to allow early use and evaluation of the VEDLIoT technology.
2015 12-01 digital transformation in industrial automation sanitizedThorsten Schroeer
1. The document discusses digital transformation in manufacturing, providing examples of current initiatives and trends like Industry 4.0, IoT, cloud computing, mobile, analytics, and security.
2. It notes that digital transformation is driving changes in business models, moving companies from product manufacturers to service providers paid based on usage.
3. The document argues that companies must develop digital strategies across their factories, products, supply chains, and partnerships to remain competitive in the digital era.
The document discusses the Industrial Internet Consortium (IIC), an open membership organization with 214 member companies from 26 countries. The IIC aims to accelerate growth of the Industrial Internet by coordinating initiatives for connecting objects, people and processes using open standards. Key areas of focus for the IIC include its Technology Working Group, Security Working Group, and testbeds for driving innovation. Two testbeds highlighted are the International Future Industrial Internet for connecting industries via mobile networks, and a Communication and Control for Microgrid Applications testbed.
The document discusses trends in modern manufacturing, including increased use of smart technologies, customization of products for customers, and outsourcing of manufacturing. It provides examples of Oracle NetSuite customers like BigBelly Solar, which makes smart trash compactors, and Shaw Industries, which manufactures carpet and opens new plants closer to customers. The document argues that legacy manufacturing resource planning systems will not be adequate for the fourth industrial revolution and that modern manufacturers need flexible, cloud-based systems like NetSuite to support nimble operations and real-time insights.
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SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
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Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
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2. Which barriers stand in the way of AI adoption.
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Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
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The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
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Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
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During the hour, we’ll take you through:
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Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.