A presentation on the Industry 5.0 evolution which builds upon Industry 4.0 and Society 5.0 to reintroduce the lost social, environment and human dimensions.
The essential elements of a digital transformation strategyMarcel Santilli
Learn more: https://insights.hpe.com
Enterprises can survive digital disruption as well as grow revenue, improve profitability and increase market valuation — if they start rethinking what they do.
Digital transformation. It’s the use of technology to create a better customer experience, improve products and services, and increase the effectiveness of business operations. But it really means what your enterprise must do to adapt and thrive.
Today’s smaller, emerging companies are born digital. They can — and do — change quickly to answer consumer demand or a competitive offering. Larger, mature enterprises must start with a shift in strategy, because all industries will be changed or already have been changed by digital transformation. Many, like news media and publishers, music, video and retail have been or significantly disrupted. Up next: financial services, healthcare manufacturing, insurance, legal, education, utilities and energy. The good news? No industry has been or will be completely upended.
The first step is to recognize that disruption does not have to be a mass-extinction event. Enterprises can survive as well as grow revenue, improve profitability and increase market valuation. Here’s how to start rethinking what you do.
Management Information Systems presentation on Industry 4.0
-> A Timeline of Industrial Revolutions The Genesis of 4.0
-> Components of Industry 4.0 Why 4.0?
-> Use Cases
-> Smart Logistics and Warehousing Quality Management
-> The Future Ahead: 5.0?
Ron Tolido presented this at our Meetup on Sept. 16th, 2013.
With digital transformation, the use of digital technologies to radically improve the performance or reach of enterprises, companies can become more customer-centric, more valuable and more profitable. Ron Tolido (@rtolido) discusses digital maturity, digital governance and the role of the chief digital officer (CDO), design principles and a digital transformation roadmap.
A presentation on the Industry 5.0 evolution which builds upon Industry 4.0 and Society 5.0 to reintroduce the lost social, environment and human dimensions.
The essential elements of a digital transformation strategyMarcel Santilli
Learn more: https://insights.hpe.com
Enterprises can survive digital disruption as well as grow revenue, improve profitability and increase market valuation — if they start rethinking what they do.
Digital transformation. It’s the use of technology to create a better customer experience, improve products and services, and increase the effectiveness of business operations. But it really means what your enterprise must do to adapt and thrive.
Today’s smaller, emerging companies are born digital. They can — and do — change quickly to answer consumer demand or a competitive offering. Larger, mature enterprises must start with a shift in strategy, because all industries will be changed or already have been changed by digital transformation. Many, like news media and publishers, music, video and retail have been or significantly disrupted. Up next: financial services, healthcare manufacturing, insurance, legal, education, utilities and energy. The good news? No industry has been or will be completely upended.
The first step is to recognize that disruption does not have to be a mass-extinction event. Enterprises can survive as well as grow revenue, improve profitability and increase market valuation. Here’s how to start rethinking what you do.
Management Information Systems presentation on Industry 4.0
-> A Timeline of Industrial Revolutions The Genesis of 4.0
-> Components of Industry 4.0 Why 4.0?
-> Use Cases
-> Smart Logistics and Warehousing Quality Management
-> The Future Ahead: 5.0?
Ron Tolido presented this at our Meetup on Sept. 16th, 2013.
With digital transformation, the use of digital technologies to radically improve the performance or reach of enterprises, companies can become more customer-centric, more valuable and more profitable. Ron Tolido (@rtolido) discusses digital maturity, digital governance and the role of the chief digital officer (CDO), design principles and a digital transformation roadmap.
Cloud Migration Patterns: A Multi-Cloud Architectural PerspectivePooyan Jamshidi
Cloud migration requires an engineering, verifiable, measurable, transparent and repeatable approach rather than an ad-hoc approach based on trial and error.
We describe a comprehensive set of (multi-)cloud migration patterns from an architectural perspective. In this work, we focus on application components and their migration to the multi-cloud environments. We define and characterize the patterns with concrete usage scenario. We also describe the process for migration pattern selection, composition and extension.
In the first period of our meetup-series we introduced the Smart Factory, based on the 0-2 levels of the ANSI/ISA-95 model.
We have presented the specifications of the discrete and the process manufacturing. Also showcased the industrial automation from the physical sensors to the SCADA/HMI systems from the Smart Factory's point of view.
Industry 4.0 is a name given to the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing. Industry 4.0 is commonly referred to as the fourth industrial revolution.
Industry 4.0 represents the fourth industrial revolution in manufacturing and industry. Industry 4.0 is the current industrial transformation with automation, data exchanges, cloud, cyber-physical systems, robots, Big Data, AI, IoT and (semi-)autonomous industrial techniques to realize smart industry and manufacturing goals in the intersection of people, new technologies and innovation. IoT (Internet of Things), the convergence of IT and OT, rapid application development, digital twin simulation models, cyber-physical systems, advanced robots and cobots, additive manufacturing, autonomous production, consistent engineering across the entire value chain, thorough data collection and provisioning, horizontal and vertical integration, the cloud, big data analytics, virtual/augmented reality and edge computing amidst a shift of intelligence towards the edge (artificial intelligence indeed with a convergence of AI and IoT and other technologies): these are some of the essential technological components of the fourth industrial revolution. Those are quite a lot of terms and components indeed. Yet, Industry 4.0 is a rather vast vision and, increasingly, a vast reality that also stretches beyond merely these technological aspects. It is an end-to-end industrial transformation.
Drop by drop the ocean builds up. Similarly, small innovations build up to count in implementing Industrie 4.0 across the world.Presently there are more examples in German Factories but the other countries are fast catching up. All these small examples give a remarkable picture of how the world is changing. And also gives us a direction to how we should change our skill sets to meet the ever growing Knowledge Economy. For students, you get an idea where research work is headed. The examples of Applications of Industrie 4.0 will give an idea of how small drops of technology changes is building into an ocean of Innovative ideas across the Industrial Spectrum.
As presented during the Internet of Things West Conference held in Las Vegas, November 5-6, 2015. The Internet of Things is going to enable data flow that you never thought was possible – from plant to plug!
Building Digital Strategy Roadmap For Digital Transformation Complete DeckSlideTeam
Digital strategy roadmap is a blueprint for aligning business goals with your digital strategy. It shows how the company plans to embrace digital technologies to grow business and create better customer experience in the long term. Creating a digital strategy roadmap is not simply listing out key digital initiatives and giving them a tentative timeline. It follows an extensive research process which starts with Digital Review. It starts with uncovering consumer insights and market insights. One then develops Digital Strategy keeping in mind the digital goals and key initiatives in the short and long term. The third step in this process is Digital Planning which involves setting realistic time frame for implementing digital initiatives. The final steps involve setting KPIs for measuring the success of digital strategy. Taking the healthcare sector as a case study, our researchers have outlined the digital landscape of the industry and showed key digital strategies a healthcare provider wishes to implement for digital transformation. https://bit.ly/3bL7TlW
IntelliAura enables organizations to digitally connect the right people to the right technologies at the right time. From our own operations to what we offer clients, we are focused on one thing: Business Value. It’s more than how much you paid for something or what a new solution saved.
Everything we do is based on an effective simple idea by bridging the gap between existing and emerging technologies—so you can innovate faster, with less risk, in the race to digital transformation.
Our comprehensive solutions are designed to provide cost-effective and timely advice and support to assist customers with business compliance, improvement and growth, to strengthen your productivity, profitability and competitiveness.
We believe in being open, always. We build trust through transparency, support genuine partnerships, and welcome new ideas. From strengthening relationships with suppliers to integrating with leading technologies, IntelliAura opens the door to a world of opportunities.
Profit and market value is migrating away from hardware, but few product companies are prepared and executing the required digital transformation. High tech companies need to invest in digital growth strategies, reinvigorate business models and create new revenue streams. Find out how to harness disruption to grow your business.
The fourth industrial revolution Industry 4.0 represents a new paradigm shift from “centralized” to “decentralized” industry relies on cyber-physical based automation where sensors send data directly to the cloud and services such as monitoring, control and optimization automatically subscribe to necessary data in real-time. In the coming years, these technologies will be seen as a viable alternative to current manufacturing processes. According to a recent report by Markets and Markets, smart factory technology will have global market size of 74.80 Billion USD by 2022. The talk provides a comprehensive introduction to Industry 4.0 and Smart Factory. Technical challenges and social implications of smart factory will be discussed. The applicability of these emerging technologies in developing economies is highlighted in this talk as well.
Industry 4.0 and Internet of Things (IoT)- The Emerging Marketing TrendsSuyati Technologies
Internet technology is often counted as the third industrial revolution that has ushered in epic changes to the world of business. And today, we are welcoming what is named as the fourth industrial revolution – the convergence of physical things with the world of the internet- named as the Internet of Things. INDUSTRIAL INTERNET OF THINGS (IIoT) is renowned as the PRIMARY way to improve operational efficiency in manufacturing domain. By 2030, $15 trillion of global GDP will come from Industrial IoT, and in another 15 years, IIoT will add $14.2 trillion to global economy. Industry 4.0 promises new business models that disrupt existing ecosystems.
View our infographic to understand the emerging marketing trends created by Industry 4.0 and IoT: http://suyati.com/industry-4-0-and-iot/
Cloud Migration Patterns: A Multi-Cloud Architectural PerspectivePooyan Jamshidi
Cloud migration requires an engineering, verifiable, measurable, transparent and repeatable approach rather than an ad-hoc approach based on trial and error.
We describe a comprehensive set of (multi-)cloud migration patterns from an architectural perspective. In this work, we focus on application components and their migration to the multi-cloud environments. We define and characterize the patterns with concrete usage scenario. We also describe the process for migration pattern selection, composition and extension.
In the first period of our meetup-series we introduced the Smart Factory, based on the 0-2 levels of the ANSI/ISA-95 model.
We have presented the specifications of the discrete and the process manufacturing. Also showcased the industrial automation from the physical sensors to the SCADA/HMI systems from the Smart Factory's point of view.
Industry 4.0 is a name given to the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing. Industry 4.0 is commonly referred to as the fourth industrial revolution.
Industry 4.0 represents the fourth industrial revolution in manufacturing and industry. Industry 4.0 is the current industrial transformation with automation, data exchanges, cloud, cyber-physical systems, robots, Big Data, AI, IoT and (semi-)autonomous industrial techniques to realize smart industry and manufacturing goals in the intersection of people, new technologies and innovation. IoT (Internet of Things), the convergence of IT and OT, rapid application development, digital twin simulation models, cyber-physical systems, advanced robots and cobots, additive manufacturing, autonomous production, consistent engineering across the entire value chain, thorough data collection and provisioning, horizontal and vertical integration, the cloud, big data analytics, virtual/augmented reality and edge computing amidst a shift of intelligence towards the edge (artificial intelligence indeed with a convergence of AI and IoT and other technologies): these are some of the essential technological components of the fourth industrial revolution. Those are quite a lot of terms and components indeed. Yet, Industry 4.0 is a rather vast vision and, increasingly, a vast reality that also stretches beyond merely these technological aspects. It is an end-to-end industrial transformation.
Drop by drop the ocean builds up. Similarly, small innovations build up to count in implementing Industrie 4.0 across the world.Presently there are more examples in German Factories but the other countries are fast catching up. All these small examples give a remarkable picture of how the world is changing. And also gives us a direction to how we should change our skill sets to meet the ever growing Knowledge Economy. For students, you get an idea where research work is headed. The examples of Applications of Industrie 4.0 will give an idea of how small drops of technology changes is building into an ocean of Innovative ideas across the Industrial Spectrum.
As presented during the Internet of Things West Conference held in Las Vegas, November 5-6, 2015. The Internet of Things is going to enable data flow that you never thought was possible – from plant to plug!
Building Digital Strategy Roadmap For Digital Transformation Complete DeckSlideTeam
Digital strategy roadmap is a blueprint for aligning business goals with your digital strategy. It shows how the company plans to embrace digital technologies to grow business and create better customer experience in the long term. Creating a digital strategy roadmap is not simply listing out key digital initiatives and giving them a tentative timeline. It follows an extensive research process which starts with Digital Review. It starts with uncovering consumer insights and market insights. One then develops Digital Strategy keeping in mind the digital goals and key initiatives in the short and long term. The third step in this process is Digital Planning which involves setting realistic time frame for implementing digital initiatives. The final steps involve setting KPIs for measuring the success of digital strategy. Taking the healthcare sector as a case study, our researchers have outlined the digital landscape of the industry and showed key digital strategies a healthcare provider wishes to implement for digital transformation. https://bit.ly/3bL7TlW
IntelliAura enables organizations to digitally connect the right people to the right technologies at the right time. From our own operations to what we offer clients, we are focused on one thing: Business Value. It’s more than how much you paid for something or what a new solution saved.
Everything we do is based on an effective simple idea by bridging the gap between existing and emerging technologies—so you can innovate faster, with less risk, in the race to digital transformation.
Our comprehensive solutions are designed to provide cost-effective and timely advice and support to assist customers with business compliance, improvement and growth, to strengthen your productivity, profitability and competitiveness.
We believe in being open, always. We build trust through transparency, support genuine partnerships, and welcome new ideas. From strengthening relationships with suppliers to integrating with leading technologies, IntelliAura opens the door to a world of opportunities.
Profit and market value is migrating away from hardware, but few product companies are prepared and executing the required digital transformation. High tech companies need to invest in digital growth strategies, reinvigorate business models and create new revenue streams. Find out how to harness disruption to grow your business.
The fourth industrial revolution Industry 4.0 represents a new paradigm shift from “centralized” to “decentralized” industry relies on cyber-physical based automation where sensors send data directly to the cloud and services such as monitoring, control and optimization automatically subscribe to necessary data in real-time. In the coming years, these technologies will be seen as a viable alternative to current manufacturing processes. According to a recent report by Markets and Markets, smart factory technology will have global market size of 74.80 Billion USD by 2022. The talk provides a comprehensive introduction to Industry 4.0 and Smart Factory. Technical challenges and social implications of smart factory will be discussed. The applicability of these emerging technologies in developing economies is highlighted in this talk as well.
Industry 4.0 and Internet of Things (IoT)- The Emerging Marketing TrendsSuyati Technologies
Internet technology is often counted as the third industrial revolution that has ushered in epic changes to the world of business. And today, we are welcoming what is named as the fourth industrial revolution – the convergence of physical things with the world of the internet- named as the Internet of Things. INDUSTRIAL INTERNET OF THINGS (IIoT) is renowned as the PRIMARY way to improve operational efficiency in manufacturing domain. By 2030, $15 trillion of global GDP will come from Industrial IoT, and in another 15 years, IIoT will add $14.2 trillion to global economy. Industry 4.0 promises new business models that disrupt existing ecosystems.
View our infographic to understand the emerging marketing trends created by Industry 4.0 and IoT: http://suyati.com/industry-4-0-and-iot/
Unlocking the Power of Data: Data Driven Product Engineering, Evren Eryurek, ...Zinnov
We live in a data-rich world - almost everything we do is being captured and stored somewhere. There are algorithms crunching the data every millisecond and conveying unknown and untapped information. At an enterprise level, data analytics provides us a 360-degree view of our customers, products and the business landscape to make effective, smart decisions. This presentation delves into how the traditional business philosophy of ‘proximity to customer’ will lose its significance and how data will drive product decisions.
Infosys' session on IoT World - Systems Integration in an IOT world: A practi...Infosys
The installed base of IOT products is growing exponentially along with its economic impact. Innovators are seeking a new generation of technology solutions that will help them create, operate and maintain smart connected products. It is a system of systems world that is complex, heterogeneous with a mix of incompatible, non-standard, multi-vendor, smart & not-so smart, connected and not-connected products that generate incredible amounts of data to be analyzed for insight and value. In this presentation, Jayraj Nair, AVP and Head of IoT, Infosys Engineering Services will share his experience’s building real world IOT solutions, innovative ways in which a system integrator can enable the integration between the physical and digital worlds and accelerate the adoption of Internet of Things.
IOT IN MANUFACTURING , ndustrial Internet of Things (IIoT) is going full throttle – increasing connectivity, generating data, and unlocking potential like never before. Now it’s time to capitalize on the full power of this data. Altair knows how to take full advantage of data to fuel innovation, drive new opportunities, and accelerate your smart manufacturing transformation.
Subscribed 2015: The Explosion of Smart Connected ThingsZuora, Inc.
Market experts and leading analyst firms predict that we’ll see the number of smart connected things grow from ~2B today to over 50B within the coming decade. The introduction of these new smart, connected things enable functional variability to shift from the physical design to the digital smarts that are being embedded in the “thing”. This explosion of smart, connected things provides both their creators and users (consumers and enterprises) with endless opportunities to continually monetize features, options, usage and data over the lifetime of the “thing’s” operation. Come to this session and see how PTC and Zuora are helping businesses capitalize on these important new revenue streams through a live demo.
Beyond Bioprocessing 4.0: The Convergence of IT, OT and Processing Technolog...Merck Life Sciences
Watch the interactive on-demand webinar here: https://bit.ly/2G8KSMu
The cost to develop and manufacture monoclonal antibodies has been highlighted as a substantial hurdle towards the widespread availability of these effective therapies for patients. Facility costs, utilization and labor are key contributing factors to the overall cost of these critical medicines. A proven method to increase utilization of a facility, increase process and quality robustness and lower overall costs of manufacturing is through the automation of a manufacturing process. The transformative impact that digital technologies have had on other industries’ manufacturing operations through IT and OT can be applied to the evolution happening in biopharma today. Examples of commonly used unit operations such as bioreactor, mixing and chromatography will be presented to illustrate incremental improvements that can be achieved today, and what the future looks like with the convergence of Operational Technology (OT), Information Technology (IT) and existing processing technologies.
In this webinar, you will learn:
- Incremental improvements that can be achieved today using process automation
- Practical examples of commonly used operations to illustrate the impact of automation
- How the automated facility will look like in the future
Beyond Bioprocessing 4.0: The Convergence of IT, OT and Processing Technolog...MilliporeSigma
Watch the interactive on-demand webinar here: https://bit.ly/2G8KSMu
The cost to develop and manufacture monoclonal antibodies has been highlighted as a substantial hurdle towards the widespread availability of these effective therapies for patients. Facility costs, utilization and labor are key contributing factors to the overall cost of these critical medicines. A proven method to increase utilization of a facility, increase process and quality robustness and lower overall costs of manufacturing is through the automation of a manufacturing process. The transformative impact that digital technologies have had on other industries’ manufacturing operations through IT and OT can be applied to the evolution happening in biopharma today. Examples of commonly used unit operations such as bioreactor, mixing and chromatography will be presented to illustrate incremental improvements that can be achieved today, and what the future looks like with the convergence of Operational Technology (OT), Information Technology (IT) and existing processing technologies.
In this webinar, you will learn:
- Incremental improvements that can be achieved today using process automation
- Practical examples of commonly used operations to illustrate the impact of automation
- How the automated facility will look like in the future
A technical Introduction to Big Data AnalyticsPethuru Raj PhD
This presentation gives the details about the sources for big data, the value of big data, what to do with big data, the platforms, the infrastructures and the architectures for big data analytics
¿Cómo las manufacturas están evolucionando hacia la Industria 4.0 con la virt...Denodo
Watch full webinar here: https://bit.ly/3cbpipB
Uno de los sectores en los que la transformación digital está teniendo un efecto más disruptivo es el de la fabricación. Líderes del sector manufacturero están apostando por el Big Data, la computación en la nube, la inteligencia artificial y el Internet de las Cosas (IoT) entre otras tecnologías, además de contemplar la llegada de la 5G, con el fin de:
- Automatizar los procesos de manera eficiente, para permitir una mayor producción en menor tiempo
- Crear valor añadido en los productos manufacturados
- Conectar la planta industrial con el punto de venta
- Impulsar el análisis en tiempo real de datos provenientes de diferentes cadenas de producción
Sin embargo, para alcanzar estos objetivos y llevar a cabo esta revolución tecnológica, también conocida como industria 4.0, las manufacturas tienen que enfrentarse a una serie de desafíos no negligentes. El sector industrial es el que genera más datos en el mundo, y en la era digital, la velocidad, la diversidad y el volumen exponencial de los datos pueden superar las arquitecturas de TI tradicionales. Además, la mayoría de los fabricantes se enfrentan a silos de datos, lo que hace que su tratamiento sea lento y costoso. Necesitan entonces una plataforma de TI fiable que permita integrar, centralizar y analizar datos de distintas fuentes y diferentes formatos de manera ágil y segura para poner la información al servicio del negocio.
Los expertos de Enki y Denodo te proponen este seminario online para descubrir qué es la virtualización de datos, y por qué líderes del sector apuestan por esta tecnología innovadora para optimizar su estrategia de TI y conseguir un ROI significativo gracias a un acceso más rápido, simple y unificado a los datos industriales.
Machine learning’s impact on utilities webinarSparkCognition
Navigant Research estimates that utility companies will spend almost $50 billion on asset management and grid monitoring technology by 2023. Today many organizations are facing budgetary challenges in order to increase reliability, uptime and safety within their facilities.
The industry is adapting to new technologies including utilization of advanced sensors and sensor fusion, edge devices, artificial intelligence, and machine learning to create the maintenance center of the future.
Bernie Cook, former Director of Maintenance and Diagnostics at Duke Energy and now VP of Woyshner Service consulting, will join us to provide practical guidance and examples of how utilities can begin adapting these next generation technologies within their facilities to drive significant reduction in maintenance costs.
Following Bernie, Stuart Gillen, Director of Business Development at SparkCognition, will give examples of how machine learning technologies are augmenting current practices that make maintenance engineers more efficient at predicting critical asset failure.
Join this webinar to learn about:
- Real examples of ways utilities are moving to more advanced monitoring and diagnostic capabilities and the technologies involved.
- How machine learning can improve equipment reliability and performance, and reduce operational and maintenance costs.
- How machine learning can augment or even supplement human subject matter experts by providing significant advance notice of asset performance issues.
Inside 6 Dimensional Model for Industry 4.0 Smart Factory by WeboniseWebonise Lab
Webonise uses a six dimensional approach to help manufacturing companies on their path to a Smart factory with 4th Industrial Revolution. The deep dive to pure Tech Adoption Strategies + Data Driven Play for Future Factories.
Building Innovative Platforms for Industry 4.0Taylor McGavisk
The manufacturing industry has historically been an early adopter and a direct beneficiary of
technological advancements. Successive industrial revolutions have steered the industry from a world
of scarcity to one of surplus—quality goods and alternate options. This rise in quality of life was made
possible through the combined capabilities of mass manufacturing and precision engineering.
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.
Infographic - Digitizing Energy: Unlocking business value with digital techno...Accenture the Netherlands
The energy industry is undergoing an unprecedented period of transition. How can digital technologies help companies disrupt existing markets and penetrate new ones?
Future-Proofing Asset Failures with Cognitive Predictive MaintenanceAnita Raj
The industry is reeling under the explosion of data generated by smart sensors, motors, actuators, machines, and other “things”. With the pace at which production is happening currently, the last straw would be an asset breakdown. Statistics show that the automotive industry deals with an alarming 800 hours of downtime every month. The cost of such downtime is a staggering US$22,000 per minute, or US$12.6 million a month.
Additionally, data shows that 20% of these breakdowns are common or predictable and that a majority – a shocking 80% – of them are seemingly random instances and cannot be predicted.
According to McKinsey, the Industrial IoT (IIoT) market is worth $11 trillion, and predictive maintenance solutions can help companies save $630 billion over the next 15 years. So, how can manufacturers tap these savings and benefits?
Learn how manufacturer and suppliers can experience the power of Cognitive Predictive Maintenance (CPdM) to avoid unplanned downtimes and drive greater efficiencies.
Sponsored by Smeal College of Business at Penn State University, Infosys Consulting, Penkse Logistics and Korn Ferry, the 22nd Annual 3PL Study investigates digitization and automation in logistics, blockchain for supply chain, and risk and resilience in 3PL shipper relationships.
Our supply chain expert shares insights on how Industry 4.0 is enabling companies to create lasting competitive advantage, sustainably and financially. This paper explores the key pillars of today’s sustainable supply chain and what variables have impacted its rise. Key points:
Industry 4.0 advances are being powered by the Internet of Things in which factory “command centers” are tethered to the cloud, enabling real-time monitoring and demand-driven configuration.
To win in today’s market firms must also embrace big data in a way that stiches together fragmented, custom e-commerce orders with reactive, optimized supply chains and factory production.
An overview of a framework companies can use to deliver on Industry 4.0 to seize a competitive advantage in today’s uber-connected world.
Companies embracing the new era of sustainability not only help the environment through decreased energy usage, but also please shareholders via expanding enterprise value – economically and sustainably.
In our latest white paper, our expert authors share insights on why an integrated, real-time approach is key to business planning in the digital age. This special report is the great work of our supply chain experts, who are leading some of our firm’s most innovative thinking and solutions with top global clients.
Learn About:
The evolution of planning capabilities in the enterprise
Why an integrated business planning (IBP) framework should include end-to-end business processes across the organization
A view into the different maturity levels an organization can achieve and strategies for developing a digital-driven IBP framework
How companies can get started and accelerate their journey to advanced business planning
Design thinking: An approach to innovation that scales. Infosys Consulting
In our latest piece of thought-leadership, two of our partners show-case how design thinking is rapidly changing the way companies approach innovation, and why it is a process that can be taught to almost anyone. This paper explores the key pillars of design thinking using real-world Infosys Consulting client success stories and offers insights into how any firm can incorporate it into their approach forward.
In our latest piece, we share unique perspectives on how artificial intelligence is amplifying human potential and reshaping business. This article explore 3 fundamental questions:
How will AI shift the expectations of my customers?
How will AI transform the way my competitors run their businesses?
How should my company respond to AI?
This thought-piece discusses how established companies can manage the duality dilemma triggered by the coexistence of new digital offerings and legacy products, and provides expert insights into how a common set of core capabilities can accelerate the digital transformation journey ahead.
The results of our latest study on ‘Smart data transformation,’ carried out with Fraunhofer FIT, are here. In this special research report, we wanted to understand the business benefits, challenges and success factors around this topic, as well as identify key needs to facilitate the effective implementation of smart data transformation.
Our latest white paper, “Blockchain Technology and the Financial Services Market,” covers themes around:
Distributed ledger and blockchain are about to cause major business transformations in the financial services industry
Three of the most promising fields of application are payment transactions, trade finance and over-the-counter markets
Technical challenges and legal frameworks are currently a major obstacle
Many market participants are exploring ways of using blockchain, including established institutions and start-ups firms
Read the entire research report for expert insights and the full Infosys Consulting point-of-view!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
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Industry 4.0 - Internet of Manufacturing
1. Infosys Confidential1 |1 Internet of Manufacturing Southwest
Industry 4.0:
IncreasingVisibilityandDecreasing
ComplexitywithLearning,Data
ScienceandIoTTechnologies
Jeff Kavanaugh
November 29, 2017
2. Infosys Confidential2 |2 Internet of Manufacturing Southwest
Today’s discussion
UTD LOGO
Research.
Industry 4.0 maturity index and
framework
Future proof: learning and
communication through data
science and critical thinking
IIoT in Practice.
Industrial IoT through facilities energy
management
Remote asset predictive maintenance
IIoT Strategy and Practice.
Industry 4.0 journey
Electronic process audits
4. Infosys Confidential4 |4 Internet of Manufacturing Southwest
Industry 4.0: Beyond the POC… the time to scale is upon us
Industry 4.0 integrates the physical and virtual worlds through technology enablers, which brings the fungibility and
speed of software to manufacturing operations. The potential value created by Industry 4.0 vastly exceeds the low-
single-digit cost savings that many manufacturers pursue today (acatech, Infosys, BCG, McKinsey, et al).
Disruptive technology enablers for Industry 4.0 are at a tipping point
*McKinsey, acatech, Infosys, BCG research
100xdisruptive digital innovation is
100x faster than physical
disruption*
25Bconnected things forecasted to
ship by 2020.*
250Mconnected vehicles are forecasted
to have some form of wireless
network connection by 2020.*
$421Bin cost and efficiency gains
per annum
$907Bin annual digital investments
$493Bin digital revenue gains per
annum
Industry 4.0 is changing manufacturing
5. Infosys Confidential5 |5 Internet of Manufacturing Southwest
• Industry 4.0 announced at Hannover
Messe 2011, but systematic
implementation still only 18%
• Current speed of implementation
places the 2022 goal of 46% at risk
• Reason: data hurdles and piecemeal
POC approach – unclear path
Approach to overcome barriers:
1. Evaluate your digital maturity
2. Proof of concepts to demonstrate
business value, then scaled action
3. Set clear targets
4. Prioritize measures that will bring
the most value to business
5. Demonstrate courage, persistence
Industry 4.0: Global study conducted on operations efficiency as a
driver for competitiveness
Dimensions
Maintenance
Efficiency
Information
Efficiency
Energy
Efficiency
Service
Efficiency
• Vast majority (82%) of
companies are aware of
the high potential in
implementing Industry 4.0
concepts
• 46% want to implement
Industry 4.0 solutions
systematically for enhanced
asset efficiency by 2022
• Only 30% have implemented
data-driven or intelligent
services
Potential recognizedSystematically implemented
Partly implemented No awareness
2017 2022
Directional findings
Source: Infosys and Institute for Industrial Management (FIR) at RWTH Aachen study conducted in 2015 and updated in 2017.
Sample size: 433 executives across industrial manufacturing sectors from China, France, Germany, UK and USA
OPERATIONSEFFICIENCY
The opportunity
Performance
Efficiency
Engineering
Efficiency
15%
4%
32%
18%
35%
32%
18%
46%
6. Infosys Confidential6 |6 Internet of Manufacturing Southwest
Industry 4.0: Maturity drives significant efficiency improvement
Near-Term
Long-Term
Computerizatio
n E.g. CNC
milling
machine but
not connected
Business
applications
connected to
each other
Up to date
digital model
(Digital
Shadow ) to
show what’s
happening
now
Big Data
analytics to
understand
root causes
Advanced
analytics for
simulation &
identification
of most likely
scenarios
Automated
decision
making and
actions
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The Industry 4.0 model uses maturity levels and structural areas to
identify and measure capabilities
Four structural areas:
• Resources
• Information Systems
• Organization Structure
• Culture
8. Infosys Confidential8 |8 Internet of Manufacturing Southwest
The acatech model allows each structural area to be plotted
according to maturity level and in a single view
9. Infosys Confidential9 |9 Internet of Manufacturing Southwest
Industry 4.0 maturity is about more than the technology
Their No. 1 complaint?
Poor critical-reasoning skills
A survey by PayScale Inc., an online pay and
benefits researcher, showed 50% of employers
complain that college graduates they hire aren’t
ready for the workplace.
Source: UTD research study December 2017 and PayScale Inc., 2016
10. Infosys Confidential 10 Infosys Confidential|10 Internet of Manufacturing Southwest
1
2
St. Gallen Management Model to identify the
funtions and process types
List down the sub-processes and identify the
process(es) for maturity assesment
Overall maturity indexing based on the
structuring forces and the dimensions of assesment
Process
Information
Flow
Resources
Organization /
Culture
Service
Process
Information
Flow
Resources
Organization /
Culture
Service
Process
Information
Flow
Resources
Organization /
Culture
Service
Resources Information Systems
Organization
Structure
Culture
MaturityIndex
Result of assessment:
High performance in structuring
force Information Flow
Result of assessment:
Low performance in structuring
force Organization
Analysis of assessment
between sub-processes
Reference circle representing
aspired maturity level
Step 1: Evaluate overall maturity using acatech model
11. Infosys Confidential 11 Infosys Confidential|11 Internet of Manufacturing Southwest
Maturity assessment outcomes
Identify key performance indicators1 Identify digital initiatives2
Prioritize improvement opportunities3 Estimate tangible business outcomes4
ILLUSTRATIVE
12. Infosys Confidential12 |12 Internet of Manufacturing Southwest
Industry 4.0:
Illustrative Case
Studies
12
Industrial
Examples
13. Infosys Confidential13 |13 Internet of Manufacturing Southwest
Industrial IoT aids energy optimization in Infosys campuses
46% reduction in per-capita energy consumption over 8 years
$100 million savings over 3 years
• Chillers
• HVAC
• Generators
• Elevators
• Sewage
Treatment
plants
• Solar power
plants
Large Campuses
80 million+ square feet Assets Managed
Central Command Center Demand Management
Digital Twin and Optimum
Operating Conditions
Predictive
Maintenance
Solution Approach
Business Benefit
Business Need Sustainability initiative at Infosys and implementation using IIoT solution
14. Infosys Confidential14 |14 Internet of Manufacturing Southwest
Transparency Predictability AdaptabilityVisibility
Path of development
MaturityLevel/
BusinessValue
Visibility
Centralized command center for real-time visibility
Real-time data acquisition
Visibility to key operating parameters
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Transparency
Analyzing performance – As Designed vs As Installed vs As Operated
AsDesigned AsInstalled AsOperated
Transparency Predictability AdaptabilityVisibility
Path of development
MaturityLevel/
BusinessValue
Plot of Critical Performance Parameters
• Condenser Water Delta (leaving temp – entering temp)
• Chiller Water Delta (leaving temp – entering temp)
• Evaporator Small Temp Diff (Ref. Sat temp– Chiller
Water leaving temp)
• Condenser Small Temp Diff (Ref. Sat temp– Condenser
Water leaving temp)
• Chiller Working Hours
Digital Model
Study operating conditions,
trends and performance
16. Infosys Confidential16 |16 Internet of Manufacturing Southwest
Predictability
Data Collection Data Cleansing
Correlation
Analysis
Exploratory Data
Analysis
Event Detection Prognostics
• Identification of key performance indicators
• Exploratory analysis and visualization of data
• Event detection – Hotelling’s T-squared and quartile-
based method
• Prognostics – ARIMA model with xreg variable
• Knowledge model development
Implemented advanced analytics on Chiller data for event detection and prognostics
Transparency Predictability AdaptabilityVisibility
Path of development
MaturityLevel/
BusinessValue
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Cost reduction and improved service performance using
predictive maintenance
Field Service
Operations Use Cases:
• Scheduling Advisor
• Dynamic Knowledge Tree
Predictive Maintenance
Use Cases
• Predictive Analytics
• Chronic Identification
Benefits
• 18% cost reduction
from increasing mix to
40% staged calls
Benefits
• 14.3% efficiency
increase [from 3.5 4
service calls per
technician per day]
Business Context
Predictive Analytics Dashboard
Opportunity
Big Data Platform
• Financial services major with 150K
ATMs globally
• Offer “ATM as a Service” with high
availability
• Sensor information (component
health) is analysed to predict failure
• Prediction allows “staged calls” for
lower cost and higher availability
• Advanced analytics provides a geo-
spatial prediction of faults for ATMs
across geographies
• Interfaces with scheduling system to
stage preventive calls
• Big data platform allows rapid
calculations: generates prediction
for 4,000 ATMs based on sensor
incidents and transactions [over
2.5 M records] in seconds
99.7%and above is the committed
uptime for large contracts
$46Mloss of business annually for
downtime of just 1.6 hours
per week
Transparency Predictability AdaptabilityVisibility
Path of development
MaturityLevel/
BusinessValue
19. Infosys Confidential19 |19 Internet of Manufacturing Southwest
Adient Today
FY 2016
$17B
Consolidated revenue
$7B
Unconsolidated seating revenue
$8B
Unconsolidated interiors revenue
#1
Global leader
in the $60 billion
automotive
seating market
1/3
Supply one out
of every three
automotive
seats
worldwide
The largest global automotive seating supplier,
supporting all major automakers in the differentiation of their
vehicles through superior quality, technology and performance
Revenue by
geography*
Europe /
Africa
China
Americas
29%
6%
30%
35%
Asia /
Pacific
*Source: IHS Automotive and management estimates; consolidated and unconsolidated revenue
20. Infosys Confidential20 |20 Internet of Manufacturing Southwest
Customer Experience
• Customer understanding
• Top line growth
• Customer touch points
Operational Processes
• Process digitization
• Worker enablement
• Performance management
Business Models
• Digitally-modified business
• New digital business
• Digital globalization
* Adient 2017
Current Digital focus is Industry 4.0: Improve operational processes
Run Strong
Drive ROI
Race Ahead
(operational excellence
through effective execution)
(continuous improvement of our core)
(deployment of innovative solutions)
Digital
focus
• Reliability
• Availability
• Maintainability
• Security
• Major projects on core technologies
• Continuous improvement
• Remain current (N-1)
• Value stream based architecture roadmaps
• Security upfront
• Rationalization of technologies and applications
• New to Adient
• New capabilities and products
• New processes
• New technologies
• New locations and markets
• New methodologies
• New skills
1
2
3
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Digital is changing the IT delivery model… increased focus
on customer, more proofs of concepts, faster delivery
• Problem statements
• Hypotheses
• Continuous
improvement ideas
• Lean
• Experimentation
• Rapid proofs of concept
• Accept - Reject
• Estimate
• Rapid solution delivery
• Minimal viable product
• Continuous delivery
• Value realization
• SMAC + IoT, AI
Innovation often doesn’t come from linear thinking. It requires a more creative, exponential approach that
combines iterative and experimental approaches. Follow a three-phase approach:
• Design Thinking sessions and tactics are used to understand the customer and define the real need
• Lean Startup provides opportunities to create prototypes and conduct proof of concepts to experiment and
demonstrate idea feasibility
• Use Agile practices to implement the solution in smaller segments for more control and allow flexibility
Measure
Lean
Startup
Agile
Design
Thinking
Build
Learn
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Digital team identifies business opportunities and applies
technology to solve
179
business problems
captured
43
Digital proofs of
concepts (POCs)
15+
Projects in
production
8
Design thinking
workshops
• Program launch
• Machine utilization
• SMRR mobility
• Non-connected
employees
• Help desk chat bot
• Rockenhausen RFID
on containers
• More in process
• North America training
• Shanghai training
• Europe training
• Detroit IT leadership
exposure
• Recaro aftermarket
• GBS automation
• Program launch
• Warren operations
• Digital boardroom
• Fabrics quality defects
• Inventory pick list
• Foam pump analytics
• Exchange rate update
• Automate legal entity
creation
• Dig4IT work streams
• iApprove app
• Container tracking RFID
• eLPA app on tablets
• Vehicle content
• Program translator
• Infosys NIA
• PPA IoT for Recaro
• Accounts Receivable
dashboard
• Various IT enhancements
• Cloud apps
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• COPQ reduction
• Potential savings of 220
hours saved per plant per
month
• Increased compliance
• Increased visibility
Problem Statement Digital Enabler Business Benefits
Example: Electronic Layered Process Audit: 78 sites live
˃ Mobile capability
˃ Applications
• Manual and time consuming
• 30 to 40 people performing
audits in average plant.
• Significant time is spent on
audit planning, audit
execution, documentation,
corrective action planning
and reporting.
• Lack of visibility to audit data
and findings
• High overhead of a manual
process results in lack of
compliance - plants are not
performing audits.
24. Infosys Confidential24 |24 Internet of Manufacturing Southwest
Continuing the conversation….
Jeff Kavanaugh
Partner, Manufacturing
Infosys Consulting
jeff_kavanaugh@infosys.com
Adjunct Professor
University of Texas at Dallas
jeff_kavanaugh@utdallas.edu
@jeffkav
www.infosysconsultinginsights.com
http://bit.ly/2qzanfr